From c9b959d2d8cb6e93511a5a2472d88954d1bcb69c Mon Sep 17 00:00:00 2001
From: minghong <englefly@gmail.com>
Date: Tue, 21 Nov 2023 21:00:41 +0800
Subject: [PATCH] [opt](Nereids) AssertNumRows node should triger runtime
 filter pruning #27279

1. optimize rf prune when col stats are not avaliable
2. add regression case to check plan and rf for tpcds_sf100 with stats
3. add regression case to check plan and rf for tpcds_sf100 without stats
---
 .../processor/post/RuntimeFilterPruner.java   |   17 +
 .../noStatsRfPrune/query1.out                 |   43 +
 .../noStatsRfPrune/query10.out                |   59 +
 .../noStatsRfPrune/query11.out                |   67 +
 .../noStatsRfPrune/query12.out                |   29 +
 .../noStatsRfPrune/query13.out                |   41 +
 .../noStatsRfPrune/query14.out                |  177 ++
 .../noStatsRfPrune/query15.out                |   30 +
 .../noStatsRfPrune/query16.out                |   39 +
 .../noStatsRfPrune/query17.out                |   51 +
 .../noStatsRfPrune/query18.out                |   53 +
 .../noStatsRfPrune/query19.out                |   41 +
 .../noStatsRfPrune/query2.out                 |   45 +
 .../noStatsRfPrune/query20.out                |   29 +
 .../noStatsRfPrune/query21.out                |   28 +
 .../noStatsRfPrune/query22.out                |   26 +
 .../noStatsRfPrune/query23.out                |  102 +
 .../noStatsRfPrune/query24.out                |   57 +
 .../noStatsRfPrune/query25.out                |   50 +
 .../noStatsRfPrune/query26.out                |   37 +
 .../noStatsRfPrune/query27.out                |   37 +
 .../noStatsRfPrune/query28.out                |   63 +
 .../noStatsRfPrune/query29.out                |   49 +
 .../noStatsRfPrune/query3.out                 |   24 +
 .../noStatsRfPrune/query30.out                |   51 +
 .../noStatsRfPrune/query31.out                |   75 +
 .../noStatsRfPrune/query32.out                |   28 +
 .../noStatsRfPrune/query33.out                |  104 +
 .../noStatsRfPrune/query34.out                |   36 +
 .../noStatsRfPrune/query35.out                |   60 +
 .../noStatsRfPrune/query36.out                |   37 +
 .../noStatsRfPrune/query37.out                |   30 +
 .../noStatsRfPrune/query38.out                |   61 +
 .../noStatsRfPrune/query39.out                |   39 +
 .../noStatsRfPrune/query4.out                 |   97 +
 .../noStatsRfPrune/query40.out                |   31 +
 .../noStatsRfPrune/query41.out                |   24 +
 .../noStatsRfPrune/query42.out                |   23 +
 .../noStatsRfPrune/query43.out                |   24 +
 .../noStatsRfPrune/query44.out                |   75 +
 .../noStatsRfPrune/query45.out                |   43 +
 .../noStatsRfPrune/query46.out                |   46 +
 .../noStatsRfPrune/query47.out                |   53 +
 .../noStatsRfPrune/query48.out                |   36 +
 .../noStatsRfPrune/query49.out                |   94 +
 .../noStatsRfPrune/query5.out                 |   80 +
 .../noStatsRfPrune/query50.out                |   31 +
 .../noStatsRfPrune/query51.out                |   48 +
 .../noStatsRfPrune/query52.out                |   24 +
 .../noStatsRfPrune/query53.out                |   34 +
 .../noStatsRfPrune/query54.out                |   82 +
 .../noStatsRfPrune/query55.out                |   26 +
 .../noStatsRfPrune/query56.out                |  104 +
 .../noStatsRfPrune/query57.out                |   53 +
 .../noStatsRfPrune/query58.out                |  110 +
 .../noStatsRfPrune/query59.out                |   48 +
 .../noStatsRfPrune/query6.out                 |   55 +
 .../noStatsRfPrune/query60.out                |  104 +
 .../noStatsRfPrune/query61.out                |   87 +
 .../noStatsRfPrune/query62.out                |   31 +
 .../noStatsRfPrune/query63.out                |   34 +
 .../noStatsRfPrune/query64.out                |  125 +
 .../noStatsRfPrune/query65.out                |   46 +
 .../noStatsRfPrune/query66.out                |   67 +
 .../noStatsRfPrune/query67.out                |   35 +
 .../noStatsRfPrune/query68.out                |   46 +
 .../noStatsRfPrune/query69.out                |   59 +
 .../noStatsRfPrune/query7.out                 |   34 +
 .../noStatsRfPrune/query70.out                |   55 +
 .../noStatsRfPrune/query71.out                |   50 +
 .../noStatsRfPrune/query72.out                |   62 +
 .../noStatsRfPrune/query73.out                |   36 +
 .../noStatsRfPrune/query74.out                |   67 +
 .../noStatsRfPrune/query75.out                |   80 +
 .../noStatsRfPrune/query76.out                |   55 +
 .../noStatsRfPrune/query77.out                |  115 +
 .../noStatsRfPrune/query78.out                |   56 +
 .../noStatsRfPrune/query79.out                |   36 +
 .../noStatsRfPrune/query8.out                 |   46 +
 .../noStatsRfPrune/query80.out                |  107 +
 .../noStatsRfPrune/query81.out                |   50 +
 .../noStatsRfPrune/query82.out                |   30 +
 .../noStatsRfPrune/query83.out                |  105 +
 .../noStatsRfPrune/query84.out                |   40 +
 .../noStatsRfPrune/query85.out                |   55 +
 .../noStatsRfPrune/query86.out                |   31 +
 .../noStatsRfPrune/query87.out                |   59 +
 .../noStatsRfPrune/query88.out                |  195 ++
 .../noStatsRfPrune/query89.out                |   36 +
 .../noStatsRfPrune/query9.out                 |  145 ++
 .../noStatsRfPrune/query90.out                |   57 +
 .../noStatsRfPrune/query91.out                |   50 +
 .../noStatsRfPrune/query92.out                |   28 +
 .../noStatsRfPrune/query93.out                |   22 +
 .../noStatsRfPrune/query94.out                |   39 +
 .../noStatsRfPrune/query95.out                |   54 +
 .../noStatsRfPrune/query96.out                |   28 +
 .../noStatsRfPrune/query97.out                |   35 +
 .../noStatsRfPrune/query98.out                |   28 +
 .../noStatsRfPrune/query99.out                |   31 +
 .../no_stats_shape/query1.out                 |   43 +
 .../no_stats_shape/query10.out                |   59 +
 .../no_stats_shape/query11.out                |   67 +
 .../no_stats_shape/query12.out                |   29 +
 .../no_stats_shape/query13.out                |   41 +
 .../no_stats_shape/query14.out                |  177 ++
 .../no_stats_shape/query15.out                |   30 +
 .../no_stats_shape/query16.out                |   39 +
 .../no_stats_shape/query17.out                |   51 +
 .../no_stats_shape/query18.out                |   53 +
 .../no_stats_shape/query19.out                |   41 +
 .../no_stats_shape/query2.out                 |   45 +
 .../no_stats_shape/query20.out                |   29 +
 .../no_stats_shape/query21.out                |   28 +
 .../no_stats_shape/query22.out                |   26 +
 .../no_stats_shape/query23.out                |  102 +
 .../no_stats_shape/query24.out                |   57 +
 .../no_stats_shape/query25.out                |   50 +
 .../no_stats_shape/query26.out                |   37 +
 .../no_stats_shape/query27.out                |   37 +
 .../no_stats_shape/query28.out                |   63 +
 .../no_stats_shape/query29.out                |   49 +
 .../no_stats_shape/query3.out                 |   24 +
 .../no_stats_shape/query30.out                |   51 +
 .../no_stats_shape/query31.out                |   75 +
 .../no_stats_shape/query32.out                |   28 +
 .../no_stats_shape/query33.out                |  104 +
 .../no_stats_shape/query34.out                |   36 +
 .../no_stats_shape/query35.out                |   60 +
 .../no_stats_shape/query36.out                |   37 +
 .../no_stats_shape/query37.out                |   30 +
 .../no_stats_shape/query38.out                |   61 +
 .../no_stats_shape/query39.out                |   39 +
 .../no_stats_shape/query4.out                 |   97 +
 .../no_stats_shape/query40.out                |   31 +
 .../no_stats_shape/query41.out                |   24 +
 .../no_stats_shape/query42.out                |   23 +
 .../no_stats_shape/query43.out                |   24 +
 .../no_stats_shape/query44.out                |   75 +
 .../no_stats_shape/query45.out                |   43 +
 .../no_stats_shape/query46.out                |   46 +
 .../no_stats_shape/query47.out                |   53 +
 .../no_stats_shape/query48.out                |   36 +
 .../no_stats_shape/query49.out                |   94 +
 .../no_stats_shape/query5.out                 |   80 +
 .../no_stats_shape/query50.out                |   31 +
 .../no_stats_shape/query51.out                |   48 +
 .../no_stats_shape/query52.out                |   24 +
 .../no_stats_shape/query53.out                |   34 +
 .../no_stats_shape/query54.out                |   82 +
 .../no_stats_shape/query55.out                |   26 +
 .../no_stats_shape/query56.out                |  104 +
 .../no_stats_shape/query57.out                |   53 +
 .../no_stats_shape/query58.out                |  110 +
 .../no_stats_shape/query59.out                |   48 +
 .../no_stats_shape/query6.out                 |   55 +
 .../no_stats_shape/query60.out                |  104 +
 .../no_stats_shape/query61.out                |   87 +
 .../no_stats_shape/query62.out                |   31 +
 .../no_stats_shape/query63.out                |   34 +
 .../no_stats_shape/query64.out                |  125 +
 .../no_stats_shape/query65.out                |   46 +
 .../no_stats_shape/query66.out                |   67 +
 .../no_stats_shape/query67.out                |   35 +
 .../no_stats_shape/query68.out                |   46 +
 .../no_stats_shape/query69.out                |   59 +
 .../no_stats_shape/query7.out                 |   34 +
 .../no_stats_shape/query70.out                |   55 +
 .../no_stats_shape/query71.out                |   50 +
 .../no_stats_shape/query72.out                |   62 +
 .../no_stats_shape/query73.out                |   36 +
 .../no_stats_shape/query74.out                |   67 +
 .../no_stats_shape/query75.out                |   80 +
 .../no_stats_shape/query76.out                |   55 +
 .../no_stats_shape/query77.out                |  115 +
 .../no_stats_shape/query78.out                |   56 +
 .../no_stats_shape/query79.out                |   36 +
 .../no_stats_shape/query8.out                 |   46 +
 .../no_stats_shape/query80.out                |  107 +
 .../no_stats_shape/query81.out                |   50 +
 .../no_stats_shape/query82.out                |   30 +
 .../no_stats_shape/query83.out                |  105 +
 .../no_stats_shape/query84.out                |   40 +
 .../no_stats_shape/query85.out                |   55 +
 .../no_stats_shape/query86.out                |   31 +
 .../no_stats_shape/query87.out                |   59 +
 .../no_stats_shape/query88.out                |  195 ++
 .../no_stats_shape/query89.out                |   36 +
 .../no_stats_shape/query9.out                 |  145 ++
 .../no_stats_shape/query90.out                |   57 +
 .../no_stats_shape/query91.out                |   50 +
 .../no_stats_shape/query92.out                |   28 +
 .../no_stats_shape/query93.out                |   22 +
 .../no_stats_shape/query94.out                |   39 +
 .../no_stats_shape/query95.out                |   54 +
 .../no_stats_shape/query96.out                |   28 +
 .../no_stats_shape/query97.out                |   35 +
 .../no_stats_shape/query98.out                |   28 +
 .../no_stats_shape/query99.out                |   31 +
 .../rf_prune/query1.out                       |   43 +
 .../rf_prune/query10.out                      |   57 +
 .../rf_prune/query11.out                      |   65 +
 .../rf_prune/query12.out                      |   28 +
 .../rf_prune/query13.out                      |   40 +
 .../rf_prune/query14.out                      |  182 ++
 .../rf_prune/query15.out                      |   29 +
 .../rf_prune/query16.out                      |   38 +
 .../rf_prune/query17.out                      |   49 +
 .../rf_prune/query18.out                      |   50 +
 .../rf_prune/query19.out                      |   40 +
 .../rf_prune/query2.out                       |   46 +
 .../rf_prune/query20.out                      |   28 +
 .../rf_prune/query21.out                      |   28 +
 .../rf_prune/query22.out                      |   24 +
 .../rf_prune/query23.out                      |  101 +
 .../rf_prune/query24.out                      |   59 +
 .../rf_prune/query25.out                      |   48 +
 .../rf_prune/query26.out                      |   35 +
 .../rf_prune/query27.out                      |   38 +
 .../rf_prune/query28.out                      |   63 +
 .../rf_prune/query29.out                      |   46 +
 .../rf_prune/query3.out                       |   25 +
 .../rf_prune/query30.out                      |   48 +
 .../rf_prune/query31.out                      |   76 +
 .../rf_prune/query32.out                      |   28 +
 .../rf_prune/query33.out                      |  101 +
 .../rf_prune/query34.out                      |   35 +
 .../rf_prune/query35.out                      |   59 +
 .../rf_prune/query36.out                      |   37 +
 .../rf_prune/query37.out                      |   30 +
 .../rf_prune/query38.out                      |   62 +
 .../rf_prune/query39.out                      |   40 +
 .../rf_prune/query4.out                       |   94 +
 .../rf_prune/query40.out                      |   31 +
 .../rf_prune/query41.out                      |   24 +
 .../rf_prune/query42.out                      |   23 +
 .../rf_prune/query43.out                      |   24 +
 .../rf_prune/query44.out                      |   72 +
 .../rf_prune/query45.out                      |   42 +
 .../rf_prune/query46.out                      |   45 +
 .../rf_prune/query47.out                      |   50 +
 .../rf_prune/query48.out                      |   35 +
 .../rf_prune/query49.out                      |   89 +
 .../rf_prune/query5.out                       |   84 +
 .../rf_prune/query50.out                      |   32 +
 .../rf_prune/query51.out                      |   48 +
 .../rf_prune/query52.out                      |   24 +
 .../rf_prune/query53.out                      |   37 +
 .../rf_prune/query54.out                      |   85 +
 .../rf_prune/query55.out                      |   24 +
 .../rf_prune/query56.out                      |   99 +
 .../rf_prune/query57.out                      |   51 +
 .../rf_prune/query58.out                      |   98 +
 .../rf_prune/query59.out                      |   53 +
 .../rf_prune/query6.out                       |   54 +
 .../rf_prune/query60.out                      |  104 +
 .../rf_prune/query61.out                      |   81 +
 .../rf_prune/query62.out                      |   31 +
 .../rf_prune/query63.out                      |   37 +
 .../rf_prune/query64.out                      |  127 +
 .../rf_prune/query65.out                      |   46 +
 .../rf_prune/query66.out                      |   69 +
 .../rf_prune/query67.out                      |   34 +
 .../rf_prune/query68.out                      |   45 +
 .../rf_prune/query69.out                      |   58 +
 .../rf_prune/query7.out                       |   35 +
 .../rf_prune/query70.out                      |   55 +
 .../rf_prune/query71.out                      |   52 +
 .../rf_prune/query72.out                      |   66 +
 .../rf_prune/query73.out                      |   35 +
 .../rf_prune/query74.out                      |   64 +
 .../rf_prune/query75.out                      |   81 +
 .../rf_prune/query76.out                      |   53 +
 .../rf_prune/query77.out                      |  111 +
 .../rf_prune/query78.out                      |   57 +
 .../rf_prune/query79.out                      |   36 +
 .../rf_prune/query8.out                       |   46 +
 .../rf_prune/query80.out                      |  116 +
 .../rf_prune/query81.out                      |   48 +
 .../rf_prune/query82.out                      |   30 +
 .../rf_prune/query83.out                      |   90 +
 .../rf_prune/query84.out                      |   36 +
 .../rf_prune/query85.out                      |   53 +
 .../rf_prune/query86.out                      |   31 +
 .../rf_prune/query87.out                      |   60 +
 .../rf_prune/query88.out                      |  195 ++
 .../rf_prune/query89.out                      |   36 +
 .../rf_prune/query9.out                       |  144 ++
 .../rf_prune/query90.out                      |   55 +
 .../rf_prune/query91.out                      |   47 +
 .../rf_prune/query92.out                      |   28 +
 .../rf_prune/query93.out                      |   21 +
 .../rf_prune/query94.out                      |   38 +
 .../rf_prune/query95.out                      |   53 +
 .../rf_prune/query96.out                      |   28 +
 .../rf_prune/query97.out                      |   35 +
 .../rf_prune/query98.out                      |   28 +
 .../rf_prune/query99.out                      |   31 +
 .../nereids_tpcds_shape_sf100_p0/load.groovy  | 2240 ++++++++---------
 .../noStatsRfPrune/query1.groovy              |   60 +
 .../noStatsRfPrune/query10.groovy             |   99 +
 .../noStatsRfPrune/query11.groovy             |  121 +
 .../noStatsRfPrune/query12.groovy             |   74 +
 .../noStatsRfPrune/query13.groovy             |   90 +
 .../noStatsRfPrune/query14.groovy             |  142 ++
 .../noStatsRfPrune/query15.groovy             |   59 +
 .../noStatsRfPrune/query16.groovy             |   71 +
 .../noStatsRfPrune/query17.groovy             |   85 +
 .../noStatsRfPrune/query18.groovy             |   74 +
 .../noStatsRfPrune/query19.groovy             |   65 +
 .../noStatsRfPrune/query2.groovy              |  101 +
 .../noStatsRfPrune/query20.groovy             |   70 +
 .../noStatsRfPrune/query21.groovy             |   70 +
 .../noStatsRfPrune/query22.groovy             |   60 +
 .../noStatsRfPrune/query23.groovy             |   91 +
 .../noStatsRfPrune/query24.groovy             |   94 +
 .../noStatsRfPrune/query25.groovy             |   87 +
 .../noStatsRfPrune/query26.groovy             |   61 +
 .../noStatsRfPrune/query27.groovy             |   62 +
 .../noStatsRfPrune/query28.groovy             |   93 +
 .../noStatsRfPrune/query29.groovy             |   87 +
 .../noStatsRfPrune/query3.groovy              |   62 +
 .../noStatsRfPrune/query30.groovy             |   71 +
 .../noStatsRfPrune/query31.groovy             |   92 +
 .../noStatsRfPrune/query32.groovy             |   68 +
 .../noStatsRfPrune/query33.groovy             |  115 +
 .../noStatsRfPrune/query34.groovy             |   71 +
 .../noStatsRfPrune/query35.groovy             |   98 +
 .../noStatsRfPrune/query36.groovy             |   70 +
 .../noStatsRfPrune/query37.groovy             |   57 +
 .../noStatsRfPrune/query38.groovy             |   63 +
 .../noStatsRfPrune/query39.groovy             |   68 +
 .../noStatsRfPrune/query4.groovy              |  154 ++
 .../noStatsRfPrune/query40.groovy             |   67 +
 .../noStatsRfPrune/query41.groovy             |   92 +
 .../noStatsRfPrune/query42.groovy             |   62 +
 .../noStatsRfPrune/query43.groovy             |   59 +
 .../noStatsRfPrune/query44.groovy             |   75 +
 .../noStatsRfPrune/query45.groovy             |   60 +
 .../noStatsRfPrune/query46.groovy             |   75 +
 .../noStatsRfPrune/query47.groovy             |   89 +
 .../noStatsRfPrune/query48.groovy             |  107 +
 .../noStatsRfPrune/query49.groovy             |  169 ++
 .../noStatsRfPrune/query5.groovy              |  168 ++
 .../noStatsRfPrune/query50.groovy             |   99 +
 .../noStatsRfPrune/query51.groovy             |   85 +
 .../noStatsRfPrune/query52.groovy             |   62 +
 .../noStatsRfPrune/query53.groovy             |   68 +
 .../noStatsRfPrune/query54.groovy             |   96 +
 .../noStatsRfPrune/query55.groovy             |   54 +
 .../noStatsRfPrune/query56.groovy             |  109 +
 .../noStatsRfPrune/query57.groovy             |   87 +
 .../noStatsRfPrune/query58.groovy             |  105 +
 .../noStatsRfPrune/query59.groovy             |   83 +
 .../noStatsRfPrune/query6.groovy              |   69 +
 .../noStatsRfPrune/query60.groovy             |  118 +
 .../noStatsRfPrune/query61.groovy             |   84 +
 .../noStatsRfPrune/query62.groovy             |   75 +
 .../noStatsRfPrune/query63.groovy             |   69 +
 .../noStatsRfPrune/query64.groovy             |  159 ++
 .../noStatsRfPrune/query65.groovy             |   69 +
 .../noStatsRfPrune/query66.groovy             |  260 ++
 .../noStatsRfPrune/query67.groovy             |   84 +
 .../noStatsRfPrune/query68.groovy             |   82 +
 .../noStatsRfPrune/query69.groovy             |   87 +
 .../noStatsRfPrune/query7.groovy              |   61 +
 .../noStatsRfPrune/query70.groovy             |   78 +
 .../noStatsRfPrune/query71.groovy             |   80 +
 .../noStatsRfPrune/query72.groovy             |   69 +
 .../noStatsRfPrune/query73.groovy             |   68 +
 .../noStatsRfPrune/query74.groovy             |  100 +
 .../noStatsRfPrune/query75.groovy             |  110 +
 .../noStatsRfPrune/query76.groovy             |   64 +
 .../noStatsRfPrune/query77.groovy             |  148 ++
 .../noStatsRfPrune/query78.groovy             |   98 +
 .../noStatsRfPrune/query79.groovy             |   63 +
 .../noStatsRfPrune/query8.groovy              |  148 ++
 .../noStatsRfPrune/query80.groovy             |  136 +
 .../noStatsRfPrune/query81.groovy             |   71 +
 .../noStatsRfPrune/query82.groovy             |   57 +
 .../noStatsRfPrune/query83.groovy             |  107 +
 .../noStatsRfPrune/query84.groovy             |   61 +
 .../noStatsRfPrune/query85.groovy             |  124 +
 .../noStatsRfPrune/query86.groovy             |   66 +
 .../noStatsRfPrune/query87.groovy             |   63 +
 .../noStatsRfPrune/query88.groovy             |  134 +
 .../noStatsRfPrune/query89.groovy             |   68 +
 .../noStatsRfPrune/query9.groovy              |   91 +
 .../noStatsRfPrune/query90.groovy             |   62 +
 .../noStatsRfPrune/query91.groovy             |   71 +
 .../noStatsRfPrune/query92.groovy             |   70 +
 .../noStatsRfPrune/query93.groovy             |   58 +
 .../noStatsRfPrune/query94.groovy             |   69 +
 .../noStatsRfPrune/query95.groovy             |   70 +
 .../noStatsRfPrune/query96.groovy             |   56 +
 .../noStatsRfPrune/query97.groovy             |   65 +
 .../noStatsRfPrune/query98.groovy             |   73 +
 .../noStatsRfPrune/query99.groovy             |   75 +
 .../no_stats_shape/query1.groovy              |   60 +
 .../no_stats_shape/query10.groovy             |   99 +
 .../no_stats_shape/query11.groovy             |  121 +
 .../no_stats_shape/query12.groovy             |   74 +
 .../no_stats_shape/query13.groovy             |   90 +
 .../no_stats_shape/query14.groovy             |  142 ++
 .../no_stats_shape/query15.groovy             |   59 +
 .../no_stats_shape/query16.groovy             |   71 +
 .../no_stats_shape/query17.groovy             |   85 +
 .../no_stats_shape/query18.groovy             |   74 +
 .../no_stats_shape/query19.groovy             |   65 +
 .../no_stats_shape/query2.groovy              |  101 +
 .../no_stats_shape/query20.groovy             |   70 +
 .../no_stats_shape/query21.groovy             |   70 +
 .../no_stats_shape/query22.groovy             |   60 +
 .../no_stats_shape/query23.groovy             |   91 +
 .../no_stats_shape/query24.groovy             |   94 +
 .../no_stats_shape/query25.groovy             |   87 +
 .../no_stats_shape/query26.groovy             |   61 +
 .../no_stats_shape/query27.groovy             |   62 +
 .../no_stats_shape/query28.groovy             |   93 +
 .../no_stats_shape/query29.groovy             |   87 +
 .../no_stats_shape/query3.groovy              |   62 +
 .../no_stats_shape/query30.groovy             |   71 +
 .../no_stats_shape/query31.groovy             |   92 +
 .../no_stats_shape/query32.groovy             |   68 +
 .../no_stats_shape/query33.groovy             |  115 +
 .../no_stats_shape/query34.groovy             |   71 +
 .../no_stats_shape/query35.groovy             |   98 +
 .../no_stats_shape/query36.groovy             |   70 +
 .../no_stats_shape/query37.groovy             |   57 +
 .../no_stats_shape/query38.groovy             |   63 +
 .../no_stats_shape/query39.groovy             |   68 +
 .../no_stats_shape/query4.groovy              |  154 ++
 .../no_stats_shape/query40.groovy             |   67 +
 .../no_stats_shape/query41.groovy             |   92 +
 .../no_stats_shape/query42.groovy             |   62 +
 .../no_stats_shape/query43.groovy             |   59 +
 .../no_stats_shape/query44.groovy             |   75 +
 .../no_stats_shape/query45.groovy             |   60 +
 .../no_stats_shape/query46.groovy             |   75 +
 .../no_stats_shape/query47.groovy             |   89 +
 .../no_stats_shape/query48.groovy             |  107 +
 .../no_stats_shape/query49.groovy             |  169 ++
 .../no_stats_shape/query5.groovy              |  168 ++
 .../no_stats_shape/query50.groovy             |   99 +
 .../no_stats_shape/query51.groovy             |   85 +
 .../no_stats_shape/query52.groovy             |   62 +
 .../no_stats_shape/query53.groovy             |   68 +
 .../no_stats_shape/query54.groovy             |   96 +
 .../no_stats_shape/query55.groovy             |   54 +
 .../no_stats_shape/query56.groovy             |  109 +
 .../no_stats_shape/query57.groovy             |   87 +
 .../no_stats_shape/query58.groovy             |  105 +
 .../no_stats_shape/query59.groovy             |   83 +
 .../no_stats_shape/query6.groovy              |   69 +
 .../no_stats_shape/query60.groovy             |  118 +
 .../no_stats_shape/query61.groovy             |   84 +
 .../no_stats_shape/query62.groovy             |   75 +
 .../no_stats_shape/query63.groovy             |   69 +
 .../no_stats_shape/query64.groovy             |  159 ++
 .../no_stats_shape/query65.groovy             |   69 +
 .../no_stats_shape/query66.groovy             |  260 ++
 .../no_stats_shape/query67.groovy             |   84 +
 .../no_stats_shape/query68.groovy             |   82 +
 .../no_stats_shape/query69.groovy             |   87 +
 .../no_stats_shape/query7.groovy              |   61 +
 .../no_stats_shape/query70.groovy             |   78 +
 .../no_stats_shape/query71.groovy             |   80 +
 .../no_stats_shape/query72.groovy             |   69 +
 .../no_stats_shape/query73.groovy             |   68 +
 .../no_stats_shape/query74.groovy             |  100 +
 .../no_stats_shape/query75.groovy             |  110 +
 .../no_stats_shape/query76.groovy             |   64 +
 .../no_stats_shape/query77.groovy             |  148 ++
 .../no_stats_shape/query78.groovy             |   98 +
 .../no_stats_shape/query79.groovy             |   63 +
 .../no_stats_shape/query8.groovy              |  148 ++
 .../no_stats_shape/query80.groovy             |  136 +
 .../no_stats_shape/query81.groovy             |   71 +
 .../no_stats_shape/query82.groovy             |   57 +
 .../no_stats_shape/query83.groovy             |  107 +
 .../no_stats_shape/query84.groovy             |   61 +
 .../no_stats_shape/query85.groovy             |  124 +
 .../no_stats_shape/query86.groovy             |   66 +
 .../no_stats_shape/query87.groovy             |   63 +
 .../no_stats_shape/query88.groovy             |  134 +
 .../no_stats_shape/query89.groovy             |   68 +
 .../no_stats_shape/query9.groovy              |   91 +
 .../no_stats_shape/query90.groovy             |   62 +
 .../no_stats_shape/query91.groovy             |   71 +
 .../no_stats_shape/query92.groovy             |   70 +
 .../no_stats_shape/query93.groovy             |   58 +
 .../no_stats_shape/query94.groovy             |   69 +
 .../no_stats_shape/query95.groovy             |   70 +
 .../no_stats_shape/query96.groovy             |   56 +
 .../no_stats_shape/query97.groovy             |   65 +
 .../no_stats_shape/query98.groovy             |   73 +
 .../no_stats_shape/query99.groovy             |   75 +
 .../rf_prune/query1.groovy                    |   59 +
 .../rf_prune/query10.groovy                   |   98 +
 .../rf_prune/query11.groovy                   |  120 +
 .../rf_prune/query12.groovy                   |   73 +
 .../rf_prune/query13.groovy                   |   89 +
 .../rf_prune/query14.groovy                   |  141 ++
 .../rf_prune/query15.groovy                   |   58 +
 .../rf_prune/query16.groovy                   |   70 +
 .../rf_prune/query17.groovy                   |   84 +
 .../rf_prune/query18.groovy                   |   73 +
 .../rf_prune/query19.groovy                   |   64 +
 .../rf_prune/query2.groovy                    |  100 +
 .../rf_prune/query20.groovy                   |   69 +
 .../rf_prune/query21.groovy                   |   69 +
 .../rf_prune/query22.groovy                   |   59 +
 .../rf_prune/query23.groovy                   |   90 +
 .../rf_prune/query24.groovy                   |   93 +
 .../rf_prune/query25.groovy                   |   86 +
 .../rf_prune/query26.groovy                   |   60 +
 .../rf_prune/query27.groovy                   |   61 +
 .../rf_prune/query28.groovy                   |   92 +
 .../rf_prune/query29.groovy                   |   86 +
 .../rf_prune/query3.groovy                    |   61 +
 .../rf_prune/query30.groovy                   |   70 +
 .../rf_prune/query31.groovy                   |   91 +
 .../rf_prune/query32.groovy                   |   67 +
 .../rf_prune/query33.groovy                   |  114 +
 .../rf_prune/query34.groovy                   |   70 +
 .../rf_prune/query35.groovy                   |   97 +
 .../rf_prune/query36.groovy                   |   69 +
 .../rf_prune/query37.groovy                   |   56 +
 .../rf_prune/query38.groovy                   |   62 +
 .../rf_prune/query39.groovy                   |   67 +
 .../rf_prune/query4.groovy                    |  153 ++
 .../rf_prune/query40.groovy                   |   66 +
 .../rf_prune/query41.groovy                   |   91 +
 .../rf_prune/query42.groovy                   |   61 +
 .../rf_prune/query43.groovy                   |   58 +
 .../rf_prune/query44.groovy                   |   74 +
 .../rf_prune/query45.groovy                   |   59 +
 .../rf_prune/query46.groovy                   |   74 +
 .../rf_prune/query47.groovy                   |   88 +
 .../rf_prune/query48.groovy                   |  106 +
 .../rf_prune/query49.groovy                   |  168 ++
 .../rf_prune/query5.groovy                    |  167 ++
 .../rf_prune/query50.groovy                   |   98 +
 .../rf_prune/query51.groovy                   |   84 +
 .../rf_prune/query52.groovy                   |   61 +
 .../rf_prune/query53.groovy                   |   67 +
 .../rf_prune/query54.groovy                   |   95 +
 .../rf_prune/query55.groovy                   |   53 +
 .../rf_prune/query56.groovy                   |  108 +
 .../rf_prune/query57.groovy                   |   86 +
 .../rf_prune/query58.groovy                   |  104 +
 .../rf_prune/query59.groovy                   |   82 +
 .../rf_prune/query6.groovy                    |   68 +
 .../rf_prune/query60.groovy                   |  117 +
 .../rf_prune/query61.groovy                   |   83 +
 .../rf_prune/query62.groovy                   |   74 +
 .../rf_prune/query63.groovy                   |   68 +
 .../rf_prune/query64.groovy                   |  158 ++
 .../rf_prune/query65.groovy                   |   68 +
 .../rf_prune/query66.groovy                   |  259 ++
 .../rf_prune/query67.groovy                   |   83 +
 .../rf_prune/query68.groovy                   |   81 +
 .../rf_prune/query69.groovy                   |   86 +
 .../rf_prune/query7.groovy                    |   60 +
 .../rf_prune/query70.groovy                   |   77 +
 .../rf_prune/query71.groovy                   |   79 +
 .../rf_prune/query72.groovy                   |   68 +
 .../rf_prune/query73.groovy                   |   67 +
 .../rf_prune/query74.groovy                   |   99 +
 .../rf_prune/query75.groovy                   |  109 +
 .../rf_prune/query76.groovy                   |   63 +
 .../rf_prune/query77.groovy                   |  147 ++
 .../rf_prune/query78.groovy                   |   97 +
 .../rf_prune/query79.groovy                   |   62 +
 .../rf_prune/query8.groovy                    |  147 ++
 .../rf_prune/query80.groovy                   |  135 +
 .../rf_prune/query81.groovy                   |   70 +
 .../rf_prune/query82.groovy                   |   56 +
 .../rf_prune/query83.groovy                   |  106 +
 .../rf_prune/query84.groovy                   |   60 +
 .../rf_prune/query85.groovy                   |  123 +
 .../rf_prune/query86.groovy                   |   65 +
 .../rf_prune/query87.groovy                   |   62 +
 .../rf_prune/query88.groovy                   |  133 +
 .../rf_prune/query89.groovy                   |   67 +
 .../rf_prune/query9.groovy                    |   90 +
 .../rf_prune/query90.groovy                   |   61 +
 .../rf_prune/query91.groovy                   |   70 +
 .../rf_prune/query92.groovy                   |   69 +
 .../rf_prune/query93.groovy                   |   57 +
 .../rf_prune/query94.groovy                   |   68 +
 .../rf_prune/query95.groovy                   |   69 +
 .../rf_prune/query96.groovy                   |   55 +
 .../rf_prune/query97.groovy                   |   64 +
 .../rf_prune/query98.groovy                   |   72 +
 .../rf_prune/query99.groovy                   |   74 +
 596 files changed, 43138 insertions(+), 1120 deletions(-)
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.out
 create mode 100644 regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.out
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 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query4.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query40.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query41.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query42.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query43.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query44.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query45.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query46.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query47.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query48.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query49.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query5.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query50.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query51.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query52.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query53.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query54.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query55.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query56.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query57.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query58.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query59.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query6.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query60.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query61.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query62.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query63.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query64.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query65.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query66.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query67.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query68.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query69.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query7.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query70.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query71.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query72.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query73.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query74.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query75.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query76.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query77.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query78.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query79.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query8.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query80.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query81.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query82.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query83.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query84.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query85.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query86.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query87.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query88.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query89.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query9.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query90.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query91.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query92.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query93.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query94.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query95.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query96.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query97.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query98.groovy
 create mode 100644 regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query99.groovy

diff --git a/fe/fe-core/src/main/java/org/apache/doris/nereids/processor/post/RuntimeFilterPruner.java b/fe/fe-core/src/main/java/org/apache/doris/nereids/processor/post/RuntimeFilterPruner.java
index b39bb8ec18..65c5e7ec1a 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/nereids/processor/post/RuntimeFilterPruner.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/nereids/processor/post/RuntimeFilterPruner.java
@@ -26,6 +26,7 @@ import org.apache.doris.nereids.trees.plans.AbstractPlan;
 import org.apache.doris.nereids.trees.plans.Plan;
 import org.apache.doris.nereids.trees.plans.physical.PhysicalAssertNumRows;
 import org.apache.doris.nereids.trees.plans.physical.PhysicalFilter;
+import org.apache.doris.nereids.trees.plans.physical.PhysicalHashAggregate;
 import org.apache.doris.nereids.trees.plans.physical.PhysicalHashJoin;
 import org.apache.doris.nereids.trees.plans.physical.PhysicalLimit;
 import org.apache.doris.nereids.trees.plans.physical.PhysicalRelation;
@@ -123,12 +124,28 @@ public class RuntimeFilterPruner extends PlanPostProcessor {
         return scan;
     }
 
+    @Override
     public PhysicalAssertNumRows visitPhysicalAssertNumRows(PhysicalAssertNumRows<? extends Plan> assertNumRows,
             CascadesContext context) {
         assertNumRows.child().accept(this, context);
+        context.getRuntimeFilterContext().addEffectiveSrcNode(assertNumRows);
         return assertNumRows;
     }
 
+    @Override
+    public PhysicalHashAggregate visitPhysicalHashAggregate(PhysicalHashAggregate<? extends Plan> aggregate,
+                                                            CascadesContext context) {
+        aggregate.child().accept(this, context);
+        // q1: A join (select x, sum(y) as z from B group by x) T on A.a = T.x
+        // q2: A join (select x, sum(y) as z from B group by x) T on A.a = T.z
+        // RF on q1 is not effective, but RF on q2 is. But q1 is a more generous pattern, and hence agg is not
+        // regarded as an effective source. Let this RF judge by ndv.
+        if (context.getRuntimeFilterContext().isEffectiveSrcNode(aggregate.child(0))) {
+            context.getRuntimeFilterContext().addEffectiveSrcNode(aggregate);
+        }
+        return aggregate;
+    }
+
     /**
      * consider L join R on L.a=R.b
      * runtime-filter: L.a<-R.b is effective,
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.out
new file mode 100644
index 0000000000..31c4855312
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.out
@@ -0,0 +1,43 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_1 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((date_dim.d_year = 2000))
+----------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_store_sk = ctr2.ctr_store_sk)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = ctr1.ctr_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ctr_store_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF1 c_customer_sk->[ctr_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((store.s_state = 'SD'))
+--------------------------PhysicalOlapScan[store]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.out
new file mode 100644
index 0000000000..5770a298ca
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_10 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(($c$1 OR $c$2))
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=()
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer] apply RFs: RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(ca_county IN ('Cochran County', 'Kandiyohi County', 'Marquette County', 'Storey County', 'Warren County'))
+----------------------------------------------PhysicalOlapScan[customer_address]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.out
new file mode 100644
index 0000000000..a327e3e462
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.out
@@ -0,0 +1,67 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_11 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (2001, 2002))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (2001, 2002))
+------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0.00), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), 0) > if((year_total > 0.00), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), 0)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_firstyear.dyear = 2001) and (t_s_firstyear.sale_type = 's') and (t_s_firstyear.year_total > 0.00))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_secyear.dyear = 2002) and (t_s_secyear.sale_type = 's'))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.dyear = 2001) and (t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year_total > 0.00))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.dyear = 2002) and (t_w_secyear.sale_type = 'w'))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.out
new file mode 100644
index 0000000000..02b9aba0d8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.out
@@ -0,0 +1,29 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_12 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ws_item_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(i_category IN ('Books', 'Men', 'Sports'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1998-05-06') and (date_dim.d_date >= '1998-04-06'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.out
new file mode 100644
index 0000000000..cd266745d5
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.out
@@ -0,0 +1,41 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_13 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('KS', 'MI', 'SD') AND ((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00))) OR (ca_state IN ('CO', 'MO', 'ND') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00)))) OR (ca_state IN ('NH', 'OH', 'TX') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))))) build RFs:RF3 ca_address_sk->[ss_addr_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=(((((((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Unknown')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) AND (household_demographics.hd_dep_count = 3)) OR ((((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) AND (household_demographics.hd_dep_count = 1))) OR ((((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '4 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))) AND (household_demographics.hd_dep_count = 1)))) build RFs:RF2 hd_demo_sk->[ss_hdemo_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=() build RFs:RF1 cd_demo_sk->[ss_cdemo_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------filter(((((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))) and ((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3 RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(((((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Unknown')) OR ((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'College'))) OR ((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '4 yr Degree'))))
+--------------------------------PhysicalOlapScan[customer_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((household_demographics.hd_dep_count = 3) OR (household_demographics.hd_dep_count = 1)))
+----------------------------PhysicalOlapScan[household_demographics]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((ca_state IN ('KS', 'MI', 'SD') OR ca_state IN ('CO', 'MO', 'ND')) OR ca_state IN ('NH', 'OH', 'TX')) and (customer_address.ca_country = 'United States'))
+----------------------PhysicalOlapScan[customer_address]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------filter((date_dim.d_year = 2001))
+------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.out
new file mode 100644
index 0000000000..81f8180d43
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.out
@@ -0,0 +1,177 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_14 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashJoin[INNER_JOIN] hashCondition=((item.i_brand_id = t.brand_id) and (item.i_category_id = t.category_id) and (item.i_class_id = t.class_id)) otherCondition=()
+--------PhysicalIntersect
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = iss.i_item_sk)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d1.d_year <= 2002) and (d1.d_year >= 2000))
+----------------------PhysicalOlapScan[date_dim]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = ics.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[cs_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d2.d_year <= 2002) and (d2.d_year >= 2000))
+----------------------PhysicalOlapScan[date_dim]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ws_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = iws.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ws_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d3.d_year <= 2002) and (d3.d_year >= 2000))
+----------------------PhysicalOlapScan[date_dim]
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[item]
+--PhysicalCteAnchor ( cteId=CTEId#1 )
+----PhysicalCteProducer ( cteId=CTEId#1 )
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalUnion
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ss_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF9
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF10 d_date_sk->[cs_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales] apply RFs: RF10
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[ws_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales] apply RFs: RF11
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalRepeat
+----------------------PhysicalUnion
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((store_sales.ss_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF14 ss_item_sk->[ss_item_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF13 d_date_sk->[ss_sold_date_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF12 i_item_sk->[ss_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF12 RF13 RF14
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF17 ss_item_sk->[cs_item_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF16 d_date_sk->[cs_sold_date_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF15 i_item_sk->[cs_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF15 RF16 RF17
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF20 ss_item_sk->[ws_item_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF19 d_date_sk->[ws_sold_date_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF18 i_item_sk->[ws_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF18 RF19 RF20
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.out
new file mode 100644
index 0000000000..bbb8d5a8a8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_15 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cs_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=(((substring(ca_zip, 1, 5) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') OR ca_state IN ('CA', 'GA', 'WA')) OR (catalog_sales.cs_sales_price > 500.00)))
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((date_dim.d_qoy = 1) and (date_dim.d_year = 2001))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.out
new file mode 100644
index 0000000000..a211a28087
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.out
@@ -0,0 +1,39 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_16 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_call_center_sk = call_center.cc_call_center_sk)) otherCondition=() build RFs:RF3 cc_call_center_sk->[cs_call_center_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[cs_ship_addr_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((cs1.cs_order_number = cr1.cr_order_number)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_ship_date_sk]
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((cs1.cs_order_number = cs2.cs_order_number)) otherCondition=(( not (cs_warehouse_sk = cs_warehouse_sk)))
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1 RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '2002-05-31') and (date_dim.d_date >= '2002-04-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_returns]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_state = 'WV'))
+--------------------------PhysicalOlapScan[customer_address]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(cc_county IN ('Barrow County', 'Daviess County', 'Luce County', 'Richland County', 'Ziebach County'))
+----------------------PhysicalOlapScan[call_center]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.out
new file mode 100644
index 0000000000..216e7a9926
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.out
@@ -0,0 +1,51 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_17 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+--------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[sr_returned_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF3 cs_bill_customer_sk->[sr_customer_sk];RF4 cs_item_sk->[sr_item_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF5
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF3 RF4 RF6
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_quarter_name = '2001Q1'))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.out
new file mode 100644
index 0000000000..916d408a31
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_18 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_cdemo_sk = cd2.cd_demo_sk)) otherCondition=()
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF1 c_customer_sk->[cs_bill_customer_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = cd1.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[cs_bill_cdemo_sk]
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF4
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((cd1.cd_education_status = 'Advanced Degree') and (cd1.cd_gender = 'F'))
+--------------------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter(c_birth_month IN (1, 10, 2, 4, 7, 8))
+--------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(ca_state IN ('GA', 'IN', 'ME', 'NC', 'OK', 'WA', 'WY'))
+--------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 1998))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.out
new file mode 100644
index 0000000000..03025775ca
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.out
@@ -0,0 +1,41 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_19 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=(( not (substring(ca_zip, 1, 5) = substring(s_zip, 1, 5))))
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_manager_id = 2))
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.out
new file mode 100644
index 0000000000..11f592ca8e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.out
@@ -0,0 +1,45 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_2 --
+PhysicalCteAnchor ( cteId=CTEId#1 )
+--PhysicalCteProducer ( cteId=CTEId#1 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = wscs.sold_date_sk)) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalUnion
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = d_week_seq2)) otherCondition=() build RFs:RF1 d_week_seq->[d_week_seq]
+--------------hashJoin[INNER_JOIN] hashCondition=((expr_cast(d_week_seq1 as BIGINT) = expr_(d_week_seq2 - 53))) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = d_week_seq1)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 1998))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((date_dim.d_year = 1999))
+--------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.out
new file mode 100644
index 0000000000..ed50b3eee7
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.out
@@ -0,0 +1,29 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_20 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(i_category IN ('Books', 'Shoes', 'Women'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '2002-02-25') and (date_dim.d_date >= '2002-01-26'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.out
new file mode 100644
index 0000000000..6d13207954
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_21 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------filter((if((inv_before > 0), (cast(inv_after as DOUBLE) / cast(inv_before as DOUBLE)), NULL) <= 1.5) and (if((inv_before > 0), (cast(inv_after as DOUBLE) / cast(inv_before as DOUBLE)), NULL) >= cast((2.000000 / 3.0) as DOUBLE)))
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[inv_date_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = inventory.inv_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[inv_item_sk]
+--------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF2
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_current_price <= 1.49) and (item.i_current_price >= 0.99))
+--------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[warehouse]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_date <= '2002-03-29') and (date_dim.d_date >= '2002-01-28'))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.out
new file mode 100644
index 0000000000..1b27b84532
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.out
@@ -0,0 +1,26 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_22 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[inventory] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1199) and (date_dim.d_month_seq >= 1188))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.out
new file mode 100644
index 0000000000..ea09ba8346
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.out
@@ -0,0 +1,102 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_23 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------filter((cnt > 4))
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[item]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter(d_year IN (2000, 2001, 2002, 2003))
+--------------------PhysicalOlapScan[date_dim]
+--PhysicalCteAnchor ( cteId=CTEId#2 )
+----PhysicalCteProducer ( cteId=CTEId#2 )
+------PhysicalProject
+--------NestedLoopJoin[INNER_JOIN](cast(ssales as DOUBLE) > cast((0.9500 * tpcds_cmax) as DOUBLE))
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ss_customer_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF4
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (2000, 2001, 2002, 2003))
+----------------------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalLimit[GLOBAL]
+--------PhysicalLimit[LOCAL]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalUnion
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_item_sk = frequent_ss_items.item_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = best_ss_customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[cs_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalCteConsumer ( cteId=CTEId#2 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_item_sk = frequent_ss_items.item_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = best_ss_customer.c_customer_sk)) otherCondition=() build RFs:RF7 c_customer_sk->[ws_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF7 RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalCteConsumer ( cteId=CTEId#2 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.out
new file mode 100644
index 0000000000..24a64a962d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.out
@@ -0,0 +1,57 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_24 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store.s_zip = customer_address.ca_zip) and (store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF5 s_zip->[ca_zip];RF6 s_store_sk->[ss_store_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=(( not (c_birth_country = upper(ca_country)))) build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF6
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_returns]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address] apply RFs: RF5
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((store.s_market_id = 8))
+----------------------PhysicalOlapScan[store]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------NestedLoopJoin[INNER_JOIN](cast(paid as DOUBLE) > cast((0.05 * avg(cast(netpaid as DECIMALV3(38, 4)))) as DOUBLE))
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ssales.i_color = 'beige'))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.out
new file mode 100644
index 0000000000..fe1a2c0bdc
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_25 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[sr_returned_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF3 cs_bill_customer_sk->[sr_customer_sk];RF4 cs_item_sk->[sr_item_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF5
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF3 RF4 RF6
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((d1.d_moy = 4) and (d1.d_year = 2000))
+----------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((d2.d_moy <= 10) and (d2.d_moy >= 4) and (d2.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d3.d_moy <= 10) and (d3.d_moy >= 4) and (d3.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.out
new file mode 100644
index 0000000000..95870378fd
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_26 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF3 p_promo_sk->[cs_promo_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[cs_bill_cdemo_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((customer_demographics.cd_education_status = 'Unknown') and (customer_demographics.cd_gender = 'M') and (customer_demographics.cd_marital_status = 'S'))
+--------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 2001))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((promotion.p_channel_email = 'N') OR (promotion.p_channel_event = 'N')))
+------------------------PhysicalOlapScan[promotion]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.out
new file mode 100644
index 0000000000..40291f7cce
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_27 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalRepeat
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF3
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_demographics.cd_education_status = 'Secondary') and (customer_demographics.cd_gender = 'F') and (customer_demographics.cd_marital_status = 'D'))
+----------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_year = 1999))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(s_state IN ('AL', 'LA', 'MI', 'MO', 'SC', 'TN'))
+------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.out
new file mode 100644
index 0000000000..079837446a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.out
@@ -0,0 +1,63 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_28 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------PhysicalProject
+--------NestedLoopJoin[CROSS_JOIN]
+----------PhysicalLimit[LOCAL]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------PhysicalLimit[LOCAL]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------PhysicalLimit[LOCAL]
+--------------------NestedLoopJoin[CROSS_JOIN]
+----------------------PhysicalLimit[LOCAL]
+------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------PhysicalLimit[LOCAL]
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter(((((store_sales.ss_list_price >= 131.00) AND (store_sales.ss_list_price <= 141.00)) OR ((store_sales.ss_coupon_amt >= 16798.00) AND (store_sales.ss_coupon_amt <= 17798.00))) OR ((store_sales.ss_wholesale_cost >= 25.00) AND (store_sales.ss_wholesale_cost <= 45.00))) and (store_sales.ss_quantity <= 5) and (store_sales.ss_quantity >= 0))
+--------------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalLimit[LOCAL]
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------filter(((((store_sales.ss_list_price >= 145.00) AND (store_sales.ss_list_price <= 155.00)) OR ((store_sales.ss_coupon_amt >= 14792.00) AND (store_sales.ss_coupon_amt <= 15792.00))) OR ((store_sales.ss_wholesale_cost >= 46.00) AND (store_sales.ss_wholesale_cost <= 66.00))) and (store_sales.ss_quantity <= 10) and (store_sales.ss_quantity >= 6))
+----------------------------------------PhysicalOlapScan[store_sales]
+----------------------PhysicalDistribute
+------------------------PhysicalLimit[LOCAL]
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------filter(((((store_sales.ss_list_price >= 150.00) AND (store_sales.ss_list_price <= 1.6E+2)) OR ((store_sales.ss_coupon_amt >= 6600.00) AND (store_sales.ss_coupon_amt <= 7.6E+3))) OR ((store_sales.ss_wholesale_cost >= 9.00) AND (store_sales.ss_wholesale_cost <= 29.00))) and (store_sales.ss_quantity <= 15) and (store_sales.ss_quantity >= 11))
+------------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalLimit[LOCAL]
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter(((((store_sales.ss_list_price >= 91.00) AND (store_sales.ss_list_price <= 101.00)) OR ((store_sales.ss_coupon_amt >= 13493.00) AND (store_sales.ss_coupon_amt <= 14493.00))) OR ((store_sales.ss_wholesale_cost >= 36.00) AND (store_sales.ss_wholesale_cost <= 56.00))) and (store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 16))
+--------------------------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalLimit[LOCAL]
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------filter(((((store_sales.ss_list_price >= 0.00) AND (store_sales.ss_list_price <= 10.00)) OR ((store_sales.ss_coupon_amt >= 7629.00) AND (store_sales.ss_coupon_amt <= 8629.00))) OR ((store_sales.ss_wholesale_cost >= 6.00) AND (store_sales.ss_wholesale_cost <= 26.00))) and (store_sales.ss_quantity <= 25) and (store_sales.ss_quantity >= 21))
+----------------------------PhysicalOlapScan[store_sales]
+----------PhysicalDistribute
+------------PhysicalLimit[LOCAL]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------filter(((((store_sales.ss_list_price >= 89.00) AND (store_sales.ss_list_price <= 99.00)) OR ((store_sales.ss_coupon_amt >= 15257.00) AND (store_sales.ss_coupon_amt <= 16257.00))) OR ((store_sales.ss_wholesale_cost >= 31.00) AND (store_sales.ss_wholesale_cost <= 51.00))) and (store_sales.ss_quantity <= 30) and (store_sales.ss_quantity >= 26))
+------------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.out
new file mode 100644
index 0000000000..ae157787eb
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.out
@@ -0,0 +1,49 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_29 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[sr_returned_date_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF3 cs_bill_customer_sk->[sr_customer_sk];RF4 cs_item_sk->[sr_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF5
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF3 RF4 RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF6
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((d1.d_moy = 4) and (d1.d_year = 1999))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (1999, 2000, 2001))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d2.d_moy <= 7) and (d2.d_moy >= 4) and (d2.d_year = 1999))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.out
new file mode 100644
index 0000000000..7704d94620
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_3 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_manufact_id = 816))
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((dt.d_moy = 11))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.out
new file mode 100644
index 0000000000..7268ab0cb8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.out
@@ -0,0 +1,51 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_30 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returning_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[wr_returned_date_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_returns] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2002))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_state = ctr2.ctr_state)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ctr_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_state = 'IN'))
+--------------------------PhysicalOlapScan[customer_address]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.out
new file mode 100644
index 0000000000..a7fad2fae6
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.out
@@ -0,0 +1,75 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_31 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((ss.d_year = 2000) and d_qoy IN (1, 2, 3))
+--------------------PhysicalOlapScan[date_dim]
+--PhysicalCteAnchor ( cteId=CTEId#1 )
+----PhysicalCteProducer ( cteId=CTEId#1 )
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ws_bill_addr_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer_address]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((ws.d_year = 2000) and d_qoy IN (1, 2, 3))
+----------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalQuickSort[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalQuickSort[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((ws1.ca_county = ws3.ca_county)) otherCondition=((if((web_sales > 0.00), (cast(web_sales as DOUBLE) / cast(web_sales as DOUBLE)), NULL) > if((store_sales > 0.00), (cast(store_sales as DOUBLE) / cast(store_sales as DOUBLE)), NULL)))
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ca_county = ws2.ca_county)) otherCondition=((if((web_sales > 0.00), (cast(web_sales as DOUBLE) / cast(web_sales as DOUBLE)), NULL) > if((store_sales > 0.00), (cast(store_sales as DOUBLE) / cast(store_sales as DOUBLE)), NULL)))
+--------------------hashJoin[INNER_JOIN] hashCondition=((ss1.ca_county = ws1.ca_county)) otherCondition=()
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((ss2.ca_county = ss3.ca_county)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ss1.ca_county = ss2.ca_county)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((ss1.d_qoy = 1) and (ss1.d_year = 2000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((ss2.d_qoy = 2) and (ss2.d_year = 2000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((ss3.d_qoy = 3) and (ss3.d_year = 2000))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((ws1.d_qoy = 1) and (ws1.d_year = 2000))
+----------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ws2.d_qoy = 2) and (ws2.d_year = 2000))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((ws3.d_qoy = 3) and (ws3.d_year = 2000))
+----------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.out
new file mode 100644
index 0000000000..0a7225bec3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_32 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------filter((cast(cs_ext_discount_amt as DECIMALV3(38, 5)) > (1.3 * avg(cast(cs_ext_discount_amt as DECIMALV3(9, 4))) OVER(PARTITION BY i_item_sk))))
+----------------PhysicalWindow
+------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_manufact_id = 29))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '1999-04-07') and (date_dim.d_date >= '1999-01-07'))
+------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.out
new file mode 100644
index 0000000000..2bb568f846
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_33 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF0 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF4 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF8 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.out
new file mode 100644
index 0000000000..3ffc006fbb
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_34 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 ss_customer_sk->[c_customer_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer] apply RFs: RF3
+------------PhysicalDistribute
+--------------filter((dn.cnt <= 20) and (dn.cnt >= 15))
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_dom >= 1) AND (date_dim.d_dom <= 3)) OR ((date_dim.d_dom >= 25) AND (date_dim.d_dom <= 28))) and d_year IN (1998, 1999, 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((household_demographics.hd_vehicle_count > 0) and (if((hd_vehicle_count > 0), (cast(hd_dep_count as DOUBLE) / cast(hd_vehicle_count as DOUBLE)), NULL) > 1.2) and hd_buy_potential IN ('0-500', '1001-5000'))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(s_county IN ('Barrow County', 'Daviess County', 'Franklin Parish', 'Luce County', 'Richland County', 'Walker County', 'Williamson County', 'Ziebach County'))
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.out
new file mode 100644
index 0000000000..a8d2d67eb8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.out
@@ -0,0 +1,60 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_35 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(($c$1 OR $c$2))
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=()
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=()
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer_address]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.out
new file mode 100644
index 0000000000..0ecf0bb2c9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_36 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF2
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((d1.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(s_state IN ('AL', 'GA', 'MI', 'MO', 'OH', 'SC', 'SD', 'TN'))
+--------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.out
new file mode 100644
index 0000000000..c385358a41
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_37 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[cs_item_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[inv_item_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = inventory.inv_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+--------------------------PhysicalProject
+----------------------------filter((inventory.inv_quantity_on_hand <= 500) and (inventory.inv_quantity_on_hand >= 100))
+------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1999-04-22') and (date_dim.d_date >= '1999-02-21'))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_current_price <= 75.00) and (item.i_current_price >= 45.00) and i_manufact_id IN (1000, 707, 747, 856))
+------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.out
new file mode 100644
index 0000000000..03d885d3f7
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.out
@@ -0,0 +1,61 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_38 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------PhysicalIntersect
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cs_bill_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.out
new file mode 100644
index 0000000000..04030df33a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.out
@@ -0,0 +1,39 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_39 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------filter((if((mean = 0), 0, (stdev / mean)) > 1))
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+--------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[inv_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalOlapScan[inventory] apply RFs: RF1
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((date_dim.d_year = 1998) and d_moy IN (1, 2))
+----------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[warehouse]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((inv1.i_item_sk = inv2.i_item_sk) and (inv1.w_warehouse_sk = inv2.w_warehouse_sk)) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((inv1.d_moy = 1))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((inv2.d_moy = 2))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.out
new file mode 100644
index 0000000000..b84254a527
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.out
@@ -0,0 +1,97 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_4 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = catalog_sales.cs_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cs_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ws_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL) > if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_c_secyear.customer_id)) otherCondition=((if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL) > if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL)))
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_c_firstyear.customer_id)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((t_s_firstyear.dyear = 1999) and (t_s_firstyear.sale_type = 's') and (t_s_firstyear.year_total > 0.000000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((t_s_secyear.dyear = 2000) and (t_s_secyear.sale_type = 's'))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((t_c_firstyear.dyear = 1999) and (t_c_firstyear.sale_type = 'c') and (t_c_firstyear.year_total > 0.000000))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((t_c_secyear.dyear = 2000) and (t_c_secyear.sale_type = 'c'))
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.dyear = 1999) and (t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year_total > 0.000000))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.dyear = 2000) and (t_w_secyear.sale_type = 'w'))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.out
new file mode 100644
index 0000000000..761a5e5da8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_40 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_current_price <= 1.49) and (item.i_current_price >= 0.99))
+--------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '2001-05-02') and (date_dim.d_date >= '2001-03-03'))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_returns]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.out
new file mode 100644
index 0000000000..3117ca5f1a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_41 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((item.i_manufact = i1.i_manufact)) otherCondition=() build RFs:RF0 i_manufact->[i_manufact]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((i1.i_manufact_id <= 788) and (i1.i_manufact_id >= 748))
+------------------------PhysicalOlapScan[item] apply RFs: RF0
+------------------PhysicalProject
+--------------------filter((item_cnt > 0))
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter((((((((((((item.i_category = 'Women') AND i_color IN ('aquamarine', 'gainsboro')) AND i_units IN ('Dozen', 'Ounce')) AND i_size IN ('economy', 'medium')) OR ((((item.i_category = 'Women') AND i_color IN ('chiffon', 'violet')) AND i_units IN ('Pound', 'Ton')) AND i_size IN ('extra large', 'small'))) OR ((((item.i_category = 'Women') AND i_color IN ('blanched', 'tomato')) AND i_units IN ('Case', 'Tbl')) AND i_size IN ('economy', 'medium'))) OR ((((item.i_category = 'Women') AND i_color IN ('almond', 'lime')) AND i_units IN ('Box', 'Dram')) AND i_size IN ('extra large', 'small'))) OR ((((item.i_category = 'Men') AND i_color IN ('blue', 'chartreuse')) AND i_units IN ('Each', 'Oz')) AND i_size IN ('N/A', 'large'))) OR ((((item.i_category = 'Men') AND i_color IN ('dodger', 'tan')) AND i_units IN ('Bunch', 'Tsp')) AND i_size IN ('economy', 'medium'))) OR ((((item.i_category = 'Men') AND i_color IN ('peru', 'saddle')) AND i_units IN ('Gram', 'Pallet')) AND i_size IN ('N/A', 'large'))) OR ((((item.i_category = 'Men') AND i_color IN ('indian', 'spring')) AND i_units IN ('Carton', 'Unknown')) AND i_size IN ('economy', 'medium'))))
+--------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.out
new file mode 100644
index 0000000000..7d6239b062
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.out
@@ -0,0 +1,23 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_42 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 1))
+--------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((dt.d_moy = 11) and (dt.d_year = 2002))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.out
new file mode 100644
index 0000000000..445a381983
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_43 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((store.s_gmt_offset = -5.00))
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.out
new file mode 100644
index 0000000000..a9fee885c5
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.out
@@ -0,0 +1,75 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_44 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((i2.i_item_sk = descending.item_sk)) otherCondition=()
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((i1.i_item_sk = asceding.item_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((asceding.rnk = descending.rnk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((rnk < 11))
+------------------------------PhysicalWindow
+--------------------------------PhysicalQuickSort[MERGE_SORT]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------------------PhysicalPartitionTopN
+----------------------------------------PhysicalProject
+------------------------------------------NestedLoopJoin[INNER_JOIN](cast(rank_col as DOUBLE) > cast((0.9 * rank_col) as DOUBLE))
+--------------------------------------------PhysicalProject
+----------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((ss1.ss_store_sk = 146))
+--------------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((store_sales.ss_store_sk = 146) and ss_addr_sk IS NULL)
+--------------------------------------------------------------PhysicalOlapScan[store_sales]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((rnk < 11))
+------------------------------PhysicalWindow
+--------------------------------PhysicalQuickSort[MERGE_SORT]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------------------PhysicalPartitionTopN
+----------------------------------------PhysicalProject
+------------------------------------------NestedLoopJoin[INNER_JOIN](cast(rank_col as DOUBLE) > cast((0.9 * rank_col) as DOUBLE))
+--------------------------------------------PhysicalProject
+----------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((ss1.ss_store_sk = 146))
+--------------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((store_sales.ss_store_sk = 146) and ss_addr_sk IS NULL)
+--------------------------------------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[item]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.out
new file mode 100644
index 0000000000..5b60870541
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.out
@@ -0,0 +1,43 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_45 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------filter((substring(ca_zip, 1, 5) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') OR $c$1))
+------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=()
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_address]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_qoy = 2) and (date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(i_item_sk IN (11, 13, 17, 19, 2, 23, 29, 3, 5, 7))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.out
new file mode 100644
index 0000000000..d80df89216
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_46 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = current_addr.ca_address_sk)) otherCondition=(( not (ca_city = bought_city)))
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(d_dow IN (0, 6) and d_year IN (1999, 2000, 2001))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(((household_demographics.hd_dep_count = 6) OR (household_demographics.hd_vehicle_count = 0)))
+------------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(s_city IN ('Centerville', 'Fairview', 'Five Points', 'Liberty', 'Oak Grove'))
+----------------------------------------PhysicalOlapScan[store]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.out
new file mode 100644
index 0000000000..ca2334c651
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_47 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------PhysicalWindow
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_year = 2001) OR ((date_dim.d_year = 2000) AND (date_dim.d_moy = 12))) OR ((date_dim.d_year = 2002) AND (date_dim.d_moy = 1))))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((v1.i_brand = v1_lead.i_brand) and (v1.i_category = v1_lead.i_category) and (v1.rn = expr_(rn - 1)) and (v1.s_company_name = v1_lead.s_company_name) and (v1.s_store_name = v1_lead.s_store_name)) otherCondition=()
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((v1.i_brand = v1_lag.i_brand) and (v1.i_category = v1_lag.i_category) and (v1.rn = expr_(rn + 1)) and (v1.s_company_name = v1_lag.s_company_name) and (v1.s_store_name = v1_lag.s_store_name)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1) and (v2.avg_monthly_sales > 0.0000) and (v2.d_year = 2001))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.out
new file mode 100644
index 0000000000..7b60d2cd7f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_48 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('IA', 'MD', 'MN') AND ((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00))) OR (ca_state IN ('IL', 'TX', 'VA') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00)))) OR (ca_state IN ('IN', 'MI', 'WI') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))))) build RFs:RF2 ca_address_sk->[ss_addr_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=((((((customer_demographics.cd_marital_status = 'U') AND (customer_demographics.cd_education_status = 'Primary')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) OR (((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00)))) OR (((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = '2 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))) build RFs:RF1 cd_demo_sk->[ss_cdemo_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------filter(((((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))) and ((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((((customer_demographics.cd_marital_status = 'U') AND (customer_demographics.cd_education_status = 'Primary')) OR ((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'College'))) OR ((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = '2 yr Degree'))))
+------------------------------PhysicalOlapScan[customer_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((ca_state IN ('IA', 'MD', 'MN') OR ca_state IN ('IL', 'TX', 'VA')) OR ca_state IN ('IN', 'MI', 'WI')) and (customer_address.ca_country = 'United States'))
+------------------------PhysicalOlapScan[customer_address]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------filter((date_dim.d_year = 1999))
+------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.out
new file mode 100644
index 0000000000..90fd3b15f2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.out
@@ -0,0 +1,94 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_49 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((ws.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((ws.ws_item_sk = wr.wr_item_sk) and (ws.ws_order_number = wr.wr_order_number)) otherCondition=() build RFs:RF0 wr_order_number->[ws_order_number];RF1 wr_item_sk->[ws_item_sk]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((ws.ws_net_paid > 0.00) and (ws.ws_net_profit > 1.00) and (ws.ws_quantity > 0))
+--------------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((wr.wr_return_amt > 10000.00))
+--------------------------------------------------------PhysicalOlapScan[web_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs.cs_item_sk = cr.cr_item_sk) and (cs.cs_order_number = cr.cr_order_number)) otherCondition=() build RFs:RF3 cr_order_number->[cs_order_number];RF4 cr_item_sk->[cs_item_sk]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((cs.cs_net_paid > 0.00) and (cs.cs_net_profit > 1.00) and (cs.cs_quantity > 0))
+--------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF3 RF4 RF5
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((cr.cr_return_amount > 10000.00))
+--------------------------------------------------------PhysicalOlapScan[catalog_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((sts.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((sts.ss_item_sk = sr.sr_item_sk) and (sts.ss_ticket_number = sr.sr_ticket_number)) otherCondition=() build RFs:RF6 sr_ticket_number->[ss_ticket_number];RF7 sr_item_sk->[ss_item_sk]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((sts.ss_net_paid > 0.00) and (sts.ss_net_profit > 1.00) and (sts.ss_quantity > 0))
+------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF6 RF7 RF8
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((sr.sr_return_amt > 10000.00))
+------------------------------------------------------PhysicalOlapScan[store_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.out
new file mode 100644
index 0000000000..b494cf4de1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.out
@@ -0,0 +1,80 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_5 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk,sr_returned_date_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.store_sk = store.s_store_sk)) otherCondition=()
+----------------------------------PhysicalUnion
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_returns]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk,cr_returned_date_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.page_sk = catalog_page.cp_catalog_page_sk)) otherCondition=() build RFs:RF2 cp_catalog_page_sk->[cs_catalog_page_sk,cr_catalog_page_sk]
+----------------------------------PhysicalUnion
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_returns]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_page]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[ws_sold_date_sk,wr_returned_date_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.wsr_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF6 web_site_sk->[ws_web_site_sk,ws_web_site_sk]
+----------------------------------PhysicalUnion
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF6 RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_item_sk = web_sales.ws_item_sk) and (web_returns.wr_order_number = web_sales.ws_order_number)) otherCondition=() build RFs:RF4 wr_item_sk->[ws_item_sk];RF5 wr_order_number->[ws_order_number]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_returns]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[web_site]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.out
new file mode 100644
index 0000000000..28122e33b1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_50 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[sr_returned_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_returns] apply RFs: RF5
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((d2.d_moy = 8) and (d2.d_year = 2001))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.out
new file mode 100644
index 0000000000..ecf279836c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_51 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((web_cumulative > store_cumulative))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[FULL_OUTER_JOIN] hashCondition=((web.d_date = store.d_date) and (web.item_sk = store.item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_month_seq <= 1227) and (date_dim.d_month_seq >= 1216))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_month_seq <= 1227) and (date_dim.d_month_seq >= 1216))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.out
new file mode 100644
index 0000000000..5dda178baf
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_52 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_manager_id = 1))
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((dt.d_moy = 12) and (dt.d_year = 2002))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.out
new file mode 100644
index 0000000000..1d8eac57e3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_53 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((if((avg_quarterly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_quarterly_sales as DOUBLE))) / cast(avg_quarterly_sales as DOUBLE)), NULL) > 0.1))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_month_seq IN (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((((i_category IN ('Books', 'Children', 'Electronics') AND i_class IN ('personal', 'portable', 'reference', 'self-help')) AND i_brand IN ('exportiunivamalg #9', 'scholaramalgamalg #14', 'scholaramalgamalg #7', 'scholaramalgamalg #9')) OR ((i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')) AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))))
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.out
new file mode 100644
index 0000000000..26260b3f49
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.out
@@ -0,0 +1,82 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_54 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_county = store.s_county) and (customer_address.ca_state = store.s_state)) otherCondition=()
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((my_customers.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((my_customers.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+----------------------------------------PhysicalProject
+------------------------------------------hashAgg[LOCAL]
+--------------------------------------------PhysicalProject
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = cs_or_ws_sales.customer_sk)) otherCondition=()
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs_or_ws_sales.item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[cs_item_sk,ws_item_sk]
+------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs_or_ws_sales.sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk,ws_sold_date_sk]
+--------------------------------------------------------PhysicalUnion
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[web_sales]
+--------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+--------------------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------PhysicalProject
+----------------------------------------------------------filter((item.i_category = 'Women') and (item.i_class = 'maternity'))
+------------------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[customer]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_address]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------NestedLoopJoin[INNER_JOIN](cast(d_month_seq as BIGINT) >= (d_month_seq + 1))
+------------------------------------NestedLoopJoin[INNER_JOIN](cast(d_month_seq as BIGINT) <= (d_month_seq + 3))
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashAgg[GLOBAL]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashAgg[LOCAL]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalAssertNumRows
+----------------------------------------PhysicalDistribute
+------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashAgg[LOCAL]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.out
new file mode 100644
index 0000000000..1ff1ee9212
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.out
@@ -0,0 +1,26 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_55 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 100))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.out
new file mode 100644
index 0000000000..ad260bbdb1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_56 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF0 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF4 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF8 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.out
new file mode 100644
index 0000000000..fd13cc1189
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_57 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------PhysicalWindow
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((call_center.cc_call_center_sk = catalog_sales.cs_call_center_sk)) otherCondition=()
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_year = 1999) OR ((date_dim.d_year = 1998) AND (date_dim.d_moy = 12))) OR ((date_dim.d_year = 2000) AND (date_dim.d_moy = 1))))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[call_center]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((v1.cc_name = v1_lead.cc_name) and (v1.i_brand = v1_lead.i_brand) and (v1.i_category = v1_lead.i_category) and (v1.rn = expr_(rn - 1))) otherCondition=()
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((v1.cc_name = v1_lag.cc_name) and (v1.i_brand = v1_lag.i_brand) and (v1.i_category = v1_lag.i_category) and (v1.rn = expr_(rn + 1))) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1) and (v2.avg_monthly_sales > 0.0000) and (v2.d_year = 1999))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.out
new file mode 100644
index 0000000000..d970643a82
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.out
@@ -0,0 +1,110 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_58 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ss_items.item_id = ws_items.item_id)) otherCondition=((cast(cs_item_rev as DOUBLE) <= cast((1.1 * ws_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) >= cast((0.9 * ws_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) <= cast((1.1 * ws_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) >= cast((0.9 * ws_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) <= cast((1.1 * cs_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) <= cast((1.1 * ss_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) >= cast((0.9 * cs_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) >= cast((0.9 * ss_item_rev) as DOUBLE))) build RFs:RF13 item_id->[i_item_id]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((ss_items.item_id = cs_items.item_id)) otherCondition=((cast(cs_item_rev as DOUBLE) <= cast((1.1 * ss_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) >= cast((0.9 * ss_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) <= cast((1.1 * cs_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) >= cast((0.9 * cs_item_rev) as DOUBLE))) build RFs:RF12 item_id->[i_item_id]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[ss_item_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF10 RF11
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[item] apply RFs: RF12 RF13
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF9 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF9
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF8 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF8
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalAssertNumRows
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF5 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalAssertNumRows
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF1 d_date->[d_date]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.out
new file mode 100644
index 0000000000..5c2a0e7a19
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_59 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=()
+--------------PhysicalProject
+----------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((d.d_week_seq = d_week_seq1)) otherCondition=() build RFs:RF5 d_week_seq->[d_week_seq]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((wss.ss_store_sk = store.s_store_sk) and (y.s_store_id1 = x.s_store_id2)) otherCondition=() build RFs:RF3 s_store_id1->[s_store_id];RF4 s_store_sk->[ss_store_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((wss.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((d.d_week_seq = d_week_seq2)) otherCondition=() build RFs:RF1 d_week_seq->[d_week_seq]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((expr_cast(d_week_seq1 as BIGINT) = expr_(d_week_seq2 - 52))) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d.d_month_seq <= 1219) and (d.d_month_seq >= 1208))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store] apply RFs: RF3
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d.d_month_seq <= 1207) and (d.d_month_seq >= 1196))
+----------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.out
new file mode 100644
index 0000000000..7746fe0b94
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_6 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((cnt >= 10))
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((d.d_month_seq = date_dim.d_month_seq)) otherCondition=() build RFs:RF5 d_month_seq->[d_month_seq]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((j.i_category = i.i_category)) otherCondition=((cast(i_current_price as DECIMALV3(38, 5)) > (1.2 * avg(cast(i_current_price as DECIMALV3(9, 4))))))
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((s.ss_sold_date_sk = d.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((s.ss_item_sk = i.i_item_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_customer_sk = s.ss_customer_sk)) otherCondition=()
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((a.ca_address_sk = c.c_current_addr_sk)) otherCondition=()
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[customer]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[customer_address]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+--------------------------PhysicalDistribute
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalAssertNumRows
+--------------------------PhysicalDistribute
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_moy = 3) and (date_dim.d_year = 2002))
+--------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.out
new file mode 100644
index 0000000000..c7599f8a05
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_60 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF0 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF4 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF8 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.out
new file mode 100644
index 0000000000..ac8c54fe74
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.out
@@ -0,0 +1,87 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_61 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalTopN[LOCAL_SORT]
+--------NestedLoopJoin[CROSS_JOIN]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF9 ca_address_sk->[c_current_addr_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF8 c_customer_sk->[ss_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF6 s_store_sk->[ss_store_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF5 p_promo_sk->[ss_promo_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF5 RF6 RF7 RF8 RF10
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((((promotion.p_channel_dmail = 'Y') OR (promotion.p_channel_email = 'Y')) OR (promotion.p_channel_tv = 'Y')))
+--------------------------------------------------PhysicalOlapScan[promotion]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((store.s_gmt_offset = -7.00))
+------------------------------------------------PhysicalOlapScan[store]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 1999))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer] apply RFs: RF9
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+--------------------------------PhysicalOlapScan[customer_address]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_category = 'Jewelry'))
+--------------------------PhysicalOlapScan[item]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ss_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF4
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 1999))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((store.s_gmt_offset = -7.00))
+----------------------------------------------PhysicalOlapScan[store]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------PhysicalOlapScan[customer_address]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_category = 'Jewelry'))
+----------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.out
new file mode 100644
index 0000000000..a19cc87b74
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_62 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_ship_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_site_sk = web_site.web_site_sk)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_site]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_month_seq <= 1205) and (date_dim.d_month_seq >= 1194))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[ship_mode]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.out
new file mode 100644
index 0000000000..98e68fd59a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_63 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_month_seq IN (1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((((i_category IN ('Books', 'Children', 'Electronics') AND i_class IN ('personal', 'portable', 'reference', 'self-help')) AND i_brand IN ('exportiunivamalg #9', 'scholaramalgamalg #14', 'scholaramalgamalg #7', 'scholaramalgamalg #9')) OR ((i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')) AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))))
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.out
new file mode 100644
index 0000000000..481d2558b9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.out
@@ -0,0 +1,125 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_64 --
+PhysicalCteAnchor ( cteId=CTEId#1 )
+--PhysicalCteProducer ( cteId=CTEId#1 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF19 d_date_sk->[ss_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((hd2.hd_income_band_sk = ib2.ib_income_band_sk)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((hd1.hd_income_band_sk = ib1.ib_income_band_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = hd1.hd_demo_sk)) otherCondition=()
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = ad1.ca_address_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = cs_ui.cs_item_sk)) otherCondition=() build RFs:RF14 cs_item_sk->[ss_item_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_hdemo_sk = hd2.hd_demo_sk)) otherCondition=()
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF9 i_item_sk->[ss_item_sk]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=()
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_first_shipto_date_sk = d3.d_date_sk)) otherCondition=()
+--------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_first_sales_date_sk = d2.d_date_sk)) otherCondition=()
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = ad2.ca_address_sk)) otherCondition=()
+----------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = cd1.cd_demo_sk)) otherCondition=(( not (cd_marital_status = cd_marital_status)))
+----------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+----------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF9 RF14 RF19
+----------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_cdemo_sk = cd2.cd_demo_sk)) otherCondition=()
+----------------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------------PhysicalOlapScan[customer]
+----------------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------PhysicalOlapScan[customer_address]
+------------------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[promotion]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------filter((item.i_current_price <= 33.00) and (item.i_current_price >= 24.00) and i_color IN ('blanched', 'brown', 'burlywood', 'chocolate', 'drab', 'medium'))
+----------------------------------------------------------PhysicalOlapScan[item]
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[store_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------PhysicalOlapScan[store]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------------------PhysicalProject
+----------------------------------------filter((sale > (2 * refund)))
+------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashAgg[LOCAL]
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_sales]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_returns]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[household_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[income_band]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[income_band]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(d_year IN (2001, 2002))
+----------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((cs1.item_sk = cs2.item_sk) and (cs1.store_name = cs2.store_name) and (cs1.store_zip = cs2.store_zip)) otherCondition=((cs2.cnt <= cs1.cnt))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((cs1.syear = 2001))
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((cs2.syear = 2002))
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.out
new file mode 100644
index 0000000000..5105b52be0
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_65 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = sc.ss_store_sk)) otherCondition=()
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = sc.ss_item_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------hashJoin[INNER_JOIN] hashCondition=((sb.ss_store_sk = sc.ss_store_sk)) otherCondition=((cast(revenue as DOUBLE) <= cast((0.1 * ave) as DOUBLE))) build RFs:RF2 ss_store_sk->[ss_store_sk]
+--------------------PhysicalDistribute
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1232) and (date_dim.d_month_seq >= 1221))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_month_seq <= 1232) and (date_dim.d_month_seq >= 1221))
+--------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[item]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.out
new file mode 100644
index 0000000000..373b870526
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.out
@@ -0,0 +1,67 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_66 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF3 sm_ship_mode_sk->[ws_ship_mode_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF1 t_time_sk->[ws_sold_time_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((cast(t_time as BIGINT) <= 77621) and (time_dim.t_time >= 48821))
+------------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[warehouse]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(sm_carrier IN ('GREAT EASTERN', 'LATVIAN'))
+----------------------------------PhysicalOlapScan[ship_mode]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF7 sm_ship_mode_sk->[cs_ship_mode_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF6 t_time_sk->[cs_sold_time_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF5 w_warehouse_sk->[cs_warehouse_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cs_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5 RF6 RF7
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[warehouse]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((cast(t_time as BIGINT) <= 77621) and (time_dim.t_time >= 48821))
+--------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(sm_carrier IN ('GREAT EASTERN', 'LATVIAN'))
+----------------------------------PhysicalOlapScan[ship_mode]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.out
new file mode 100644
index 0000000000..64e34ed219
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_67 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------filter((rk <= 100))
+----------PhysicalWindow
+------------PhysicalPartitionTopN
+--------------PhysicalDistribute
+----------------PhysicalPartitionTopN
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_month_seq <= 1217) and (date_dim.d_month_seq >= 1206))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.out
new file mode 100644
index 0000000000..becdba20be
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_68 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = current_addr.ca_address_sk)) otherCondition=(( not (ca_city = bought_city)))
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_dom <= 2) and (date_dim.d_dom >= 1) and d_year IN (1998, 1999, 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(((household_demographics.hd_dep_count = 8) OR (household_demographics.hd_vehicle_count = -1)))
+------------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(s_city IN ('Five Points', 'Pleasant Hill'))
+----------------------------------------PhysicalOlapScan[store]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.out
new file mode 100644
index 0000000000..96c7b7e36c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_69 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=() build RFs:RF7 c_customer_sk->[cs_ship_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF6 RF7
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ws_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF3 RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter(ca_state IN ('MI', 'TX', 'VA'))
+--------------------------------------------PhysicalOlapScan[customer_address]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.out
new file mode 100644
index 0000000000..b7e479e9a4
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_7 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF3 p_promo_sk->[ss_promo_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF2 RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((customer_demographics.cd_education_status = 'College') and (customer_demographics.cd_gender = 'F') and (customer_demographics.cd_marital_status = 'W'))
+----------------------------------PhysicalOlapScan[customer_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2001))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((promotion.p_channel_email = 'N') OR (promotion.p_channel_event = 'N')))
+------------------------PhysicalOlapScan[promotion]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.out
new file mode 100644
index 0000000000..ec9c48f8a2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_70 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_month_seq <= 1224) and (d1.d_month_seq >= 1213))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((store.s_state = tmp1.s_state)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((ranking <= 5))
+------------------------------------------PhysicalWindow
+--------------------------------------------PhysicalPartitionTopN
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalPartitionTopN
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+--------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------filter((date_dim.d_month_seq <= 1224) and (date_dim.d_month_seq >= 1213))
+----------------------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[store]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.out
new file mode 100644
index 0000000000..7876464659
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_71 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((tmp.sold_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ws_item_sk,cs_item_sk,ss_item_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((tmp.time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF3 t_time_sk->[ws_sold_time_sk,cs_sold_time_sk,ss_sold_time_sk]
+----------------------PhysicalUnion
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF3 RF4
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(t_meal_time IN ('breakfast', 'dinner'))
+----------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 1))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.out
new file mode 100644
index 0000000000..026e74ebfc
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.out
@@ -0,0 +1,62 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_72 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((warehouse.w_warehouse_sk = inventory.inv_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF7 hd_demo_sk->[cs_bill_hdemo_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_date_sk = d3.d_date_sk)) otherCondition=((d3.d_date > cast((cast(d_date as BIGINT) + 5) as DATEV2)))
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d1.d_date_sk) and (d1.d_week_seq = d2.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq];RF5 d_date_sk->[cs_sold_date_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[inv_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF2 cd_demo_sk->[cs_bill_cdemo_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=()
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = inventory.inv_item_sk)) otherCondition=((inventory.inv_quantity_on_hand < catalog_sales.cs_quantity)) build RFs:RF0 cs_item_sk->[inv_item_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF3
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_returns.cr_item_sk = catalog_sales.cs_item_sk) and (catalog_returns.cr_order_number = catalog_sales.cs_order_number)) otherCondition=()
+--------------------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=()
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF5 RF7
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------PhysicalOlapScan[promotion]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[catalog_returns]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((customer_demographics.cd_marital_status = 'W'))
+------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((d1.d_year = 2002))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((household_demographics.hd_buy_potential = '501-1000'))
+----------------------------PhysicalOlapScan[household_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.out
new file mode 100644
index 0000000000..d91f75f79b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_73 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dj.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 ss_customer_sk->[c_customer_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer] apply RFs: RF3
+------------PhysicalDistribute
+--------------filter((dj.cnt <= 5) and (dj.cnt >= 1))
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_dom <= 2) and (date_dim.d_dom >= 1) and d_year IN (2000, 2001, 2002))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((household_demographics.hd_vehicle_count > 0) and (if((hd_vehicle_count > 0), (cast(hd_dep_count as DOUBLE) / cast(hd_vehicle_count as DOUBLE)), NULL) > 1) and hd_buy_potential IN ('501-1000', 'Unknown'))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(s_county IN ('Barrow County', 'Daviess County', 'Fairfield County', 'Walker County'))
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.out
new file mode 100644
index 0000000000..6b1cd5e736
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.out
@@ -0,0 +1,67 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_74 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0), (year_total / year_total), NULL) > if((year_total > 0), (year_total / year_total), NULL)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_firstyear.sale_type = 's') and (t_s_firstyear.year = 1999) and (t_s_firstyear.year_total > 0))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_secyear.sale_type = 's') and (t_s_secyear.year = 2000))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year = 1999) and (t_w_firstyear.year_total > 0))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.sale_type = 'w') and (t_w_secyear.year = 2000))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.out
new file mode 100644
index 0000000000..ae93314a82
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.out
@@ -0,0 +1,80 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_75 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalUnion
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_category = 'Home'))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_returns]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1998, 1999))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((item.i_category = 'Home'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_returns]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(d_year IN (1998, 1999))
+------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ws_sold_date_sk]
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_category = 'Home'))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_returns]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1998, 1999))
+----------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((curr_yr.i_brand_id = prev_yr.i_brand_id) and (curr_yr.i_category_id = prev_yr.i_category_id) and (curr_yr.i_class_id = prev_yr.i_class_id) and (curr_yr.i_manufact_id = prev_yr.i_manufact_id)) otherCondition=(((cast(cast(sales_cnt as DECIMALV3(17, 2)) as DECIMALV3(23, 8)) / cast(sales_cnt as DECIMALV3(17, 2))) < 0.900000))
+--------------PhysicalDistribute
+----------------filter((curr_yr.d_year = 1999))
+------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------filter((prev_yr.d_year = 1998))
+------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.out
new file mode 100644
index 0000000000..1b2cfc0f03
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_76 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(ss_hdemo_sk IS NULL)
+------------------------------PhysicalOlapScan[store_sales]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ws_item_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(ws_bill_addr_sk IS NULL)
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[cs_item_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(cs_warehouse_sk IS NULL)
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.out
new file mode 100644
index 0000000000..ff77fe9561
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.out
@@ -0,0 +1,115 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_77 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ss.s_store_sk = sr.s_store_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+--------------------PhysicalProject
+----------------------NestedLoopJoin[CROSS_JOIN]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+------------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cr_returned_date_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ws.wp_web_page_sk = wr.wp_web_page_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF9 wp_web_page_sk->[ws_web_page_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_page]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF7 wp_web_page_sk->[wr_web_page_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[wr_returned_date_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_page]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.out
new file mode 100644
index 0000000000..8c08a41397
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.out
@@ -0,0 +1,56 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_78 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter(((coalesce(ws_qty, 0) > 0) OR (coalesce(cs_qty, 0) > 0)))
+------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ws.ws_customer_sk = ss.ss_customer_sk) and (ws.ws_item_sk = ss.ss_item_sk) and (ws.ws_sold_year = ss.ss_sold_year)) otherCondition=()
+--------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((cs.cs_customer_sk = ss.ss_customer_sk) and (cs.cs_item_sk = ss.ss_item_sk) and (cs.cs_sold_year = ss.ss_sold_year)) otherCondition=()
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((store_returns.sr_ticket_number = store_sales.ss_ticket_number) and (store_sales.ss_item_sk = store_returns.sr_item_sk)) otherCondition=()
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_returns]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((catalog_returns.cr_order_number = catalog_sales.cs_order_number) and (catalog_sales.cs_item_sk = catalog_returns.cr_item_sk)) otherCondition=()
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_returns]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((web_returns.wr_order_number = web_sales.ws_order_number) and (web_sales.ws_item_sk = web_returns.wr_item_sk)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 2000))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_returns]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.out
new file mode 100644
index 0000000000..2487900aac
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_79 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((ms.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_dow = 1) and d_year IN (1998, 1999, 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((household_demographics.hd_dep_count = 5) OR (household_demographics.hd_vehicle_count > 4)))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((store.s_number_employees <= 295) and (store.s_number_employees >= 200))
+--------------------------------PhysicalOlapScan[store]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.out
new file mode 100644
index 0000000000..192541e875
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_8 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((expr_substring(s_zip, 1, 2) = expr_substring(ca_zip, 1, 2))) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_qoy = 2) and (date_dim.d_year = 1998))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalIntersect
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(substring(ca_zip, 1, 5) IN ('10298', '10374', '10425', '11340', '11489', '11618', '11652', '11686', '11855', '11912', '12197', '12318', '12320', '12350', '13086', '13123', '13261', '13338', '13376', '13378', '13443', '13844', '13869', '13918', '14073', '14155', '14196', '14242', '14312', '14440', '14530', '14851', '15371', '15475', '15543', '15734', '15751', '15782', '15794', '16005', '16226', '16364', '16515', '16704', '16791', '16891', '17167', '17193', '17291', '17672', '17819', '17879', '17895', '18218', '18360', '18367', '18410', '18421', '18434', '18569', '18700', '18767', '18829', '18884', '19326', '19444', '19489', '19753', '19833', '19988', '20244', '20317', '20534', '20601', '20712', '21060', '21094', '21204', '21231', '21343', '21727', '21800', '21814', '22728', '22815', '22911', '23065', '23952', '24227', '24255', '24286', '24594', '24660', '24891', '24987', '25115', '25178', '25214', '25264', '25333', '25494', '25717', '25973', '26217', '26689', '27052', '27116', '27156', '27287', '27369', '27385', '27413', '27642', '27700', '28055', '28239', '28571', '28577', '28810', '29086', '29392', '29450', '29752', '29818', '30106', '30415', '30621', '31013', '31016', '31655', '31830', '32489', '32669', '32754', '32919', '32958', '32961', '33113', '33122', '33159', '33467', '33562', '33773', '33869', '34306', '34473', '34594', '34948', '34972', '35076', '35390', '35834', '35863', '35926', '36201', '36335', '36430', '36479', '37119', '37788', '37914', '38353', '38607', '38919', '39214', '39459', '39500', '39503', '40146', '40936', '40979', '41162', '41232', '41255', '41331', '41351', '41352', '41419', '41807', '41836', '41967', '42361', '43432', '43639', '43830', '43933', '44529', '45266', '45484', '45533', '45645', '45676', '45859', '46081', '46131', '46507', '47289', '47369', '47529', '47602', '47770', '48017', '48162', '48333', '48530', '48567', '49101', '49130', '49140', '49211', '49230', '49254', '49472', '50412', '50632', '50636', '50679', '50788', '51089', '51184', '51195', '51634', '51717', '51766', '51782', '51793', '51933', '52094', '52301', '52389', '52868', '53163', '53535', '53565', '54010', '54207', '54364', '54558', '54585', '55233', '55349', '56224', '56355', '56436', '56455', '56600', '56877', '57025', '57553', '57631', '57649', '57839', '58032', '58058', '58062', '58117', '58218', '58412', '58454', '58581', '59004', '59080', '59130', '59226', '59345', '59386', '59494', '59852', '60083', '60298', '60560', '60624', '60736', '61527', '61794', '61860', '61997', '62361', '62585', '62878', '63073', '63180', '63193', '63294', '63792', '63991', '64592', '65148', '65177', '65501', '66057', '66943', '67881', '67975', '67998', '68101', '68293', '68341', '68605', '68730', '68770', '68843', '68852', '68908', '69280', '69952', '69998', '70041', '70070', '70073', '70450', '71144', '71256', '71286', '71836', '71948', '71954', '71997', '72592', '72991', '73021', '73108', '73134', '73146', '73219', '73873', '74686', '75660', '75675', '75742', '75752', '77454', '77817', '78093', '78366', '79077', '79658', '80332', '80846', '81003', '81070', '81084', '81335', '81504', '81755', '81963', '82080', '82602', '82620', '83041', '83086', '83583', '83647', '83833', '83910', '83986', '84247', '84680', '84844', '84919', '85066', '85761', '86057', '86379', '86709', '88086', '88137', '88217', '89193', '89338', '90209', '90229', '90669', '91110', '91894', '92292', '92380', '92645', '92696', '93498', '94791', '94835', '94898', '95042', '95430', '95464', '95694', '96435', '96560', '97173', '97462', '98069', '98072', '98338', '98533', '98569', '98584', '98862', '99060', '99132'))
+------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((cnt > 10))
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF0 c_current_addr_sk->[ca_address_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer_address] apply RFs: RF0
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((customer.c_preferred_cust_flag = 'Y'))
+----------------------------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.out
new file mode 100644
index 0000000000..a62337248f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.out
@@ -0,0 +1,107 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_80 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF3 p_promo_sk->[ss_promo_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF3
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_returns]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((item.i_current_price > 50.00))
+--------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((promotion.p_channel_tv = 'N'))
+--------------------------------------PhysicalOlapScan[promotion]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF7 p_promo_sk->[cs_promo_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF5 i_item_sk->[cs_item_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_catalog_page_sk = catalog_page.cp_catalog_page_sk)) otherCondition=() build RFs:RF4 cp_catalog_page_sk->[cs_catalog_page_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5 RF6 RF7
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_page]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((item.i_current_price > 50.00))
+------------------------------------------------PhysicalOlapScan[item]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_returns]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((promotion.p_channel_tv = 'N'))
+--------------------------------------PhysicalOlapScan[promotion]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF11 p_promo_sk->[ws_promo_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF10 web_site_sk->[ws_web_site_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF9 i_item_sk->[ws_item_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=()
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9 RF10 RF11
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_returns]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((item.i_current_price > 50.00))
+--------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_site]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((promotion.p_channel_tv = 'N'))
+--------------------------------------PhysicalOlapScan[promotion]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.out
new file mode 100644
index 0000000000..14711bc82c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_81 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returning_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cr_returned_date_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2002))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ctr_customer_sk]
+--------------------PhysicalDistribute
+----------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_state = ctr2.ctr_state)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+------------------------PhysicalDistribute
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------------hashAgg[GLOBAL]
+--------------------------PhysicalDistribute
+----------------------------hashAgg[LOCAL]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[customer] apply RFs: RF3
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((customer_address.ca_state = 'CA'))
+--------------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.out
new file mode 100644
index 0000000000..a9891820a3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_82 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[inv_item_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = inventory.inv_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+--------------------------PhysicalProject
+----------------------------filter((inventory.inv_quantity_on_hand <= 500) and (inventory.inv_quantity_on_hand >= 100))
+------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1999-09-07') and (date_dim.d_date >= '1999-07-09'))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_current_price <= 47.00) and (item.i_current_price >= 17.00) and i_manufact_id IN (138, 169, 339, 639))
+------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.out
new file mode 100644
index 0000000000..1fa7e5e782
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.out
@@ -0,0 +1,105 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_83 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((sr_items.item_id = wr_items.item_id)) otherCondition=() build RFs:RF13 item_id->[i_item_id]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((sr_items.item_id = cr_items.item_id)) otherCondition=() build RFs:RF12 item_id->[i_item_id]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[sr_returned_date_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[sr_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF10 RF11
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item] apply RFs: RF12 RF13
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF9 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF9
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF8 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF8
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cr_returned_date_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_item_sk = item.i_item_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF5 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[wr_returned_date_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF1 d_date->[d_date]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.out
new file mode 100644
index 0000000000..0d492dd783
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.out
@@ -0,0 +1,40 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_84 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF4 cd_demo_sk->[sr_cdemo_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[store_returns] apply RFs: RF4
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((income_band.ib_income_band_sk = household_demographics.hd_income_band_sk)) otherCondition=() build RFs:RF3 ib_income_band_sk->[hd_income_band_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((household_demographics.hd_demo_sk = customer.c_current_hdemo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[c_current_hdemo_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer] apply RFs: RF0 RF2
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_city = 'Oakwood'))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[household_demographics] apply RFs: RF3
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((cast(ib_upper_bound as BIGINT) <= 55806) and (income_band.ib_lower_bound >= 5806))
+------------------------PhysicalOlapScan[income_band]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.out
new file mode 100644
index 0000000000..1b820cdb4b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_85 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((reason.r_reason_sk = web_returns.wr_reason_sk)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = web_returns.wr_refunded_addr_sk)) otherCondition=((((ca_state IN ('DE', 'FL', 'TX') AND ((web_sales.ws_net_profit >= 100.00) AND (web_sales.ws_net_profit <= 200.00))) OR (ca_state IN ('ID', 'IN', 'ND') AND ((web_sales.ws_net_profit >= 150.00) AND (web_sales.ws_net_profit <= 300.00)))) OR (ca_state IN ('IL', 'MT', 'OH') AND ((web_sales.ws_net_profit >= 50.00) AND (web_sales.ws_net_profit <= 250.00))))) build RFs:RF7 ca_address_sk->[wr_refunded_addr_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((cd1.cd_education_status = cd2.cd_education_status) and (cd1.cd_marital_status = cd2.cd_marital_status) and (cd2.cd_demo_sk = web_returns.wr_returning_cdemo_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((cd1.cd_demo_sk = web_returns.wr_refunded_cdemo_sk)) otherCondition=((((((cd1.cd_marital_status = 'M') AND (cd1.cd_education_status = '4 yr Degree')) AND ((web_sales.ws_sales_price >= 100.00) AND (web_sales.ws_sales_price <= 150.00))) OR (((cd1.cd_marital_status = 'S') AND (cd1.cd_education_status = 'Secondary')) AND ((web_sales.ws_sales_price >= 50.00) AND (web_sales.ws_sales_price <= 100.00)))) OR (((cd1.cd_marital_status = 'W') AND (cd1.cd_education_status = 'Advanced Degree')) AND ((web_sales.ws_sales_price >= 150.00) AND (web_sales.ws_sales_price <= 200.00))))) build RFs:RF3 cd_demo_sk->[wr_refunded_cdemo_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=()
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF0 wr_item_sk->[ws_item_sk];RF1 wr_order_number->[ws_order_number]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter(((((web_sales.ws_net_profit >= 100.00) AND (web_sales.ws_net_profit <= 200.00)) OR ((web_sales.ws_net_profit >= 150.00) AND (web_sales.ws_net_profit <= 300.00))) OR ((web_sales.ws_net_profit >= 50.00) AND (web_sales.ws_net_profit <= 250.00))) and ((((web_sales.ws_sales_price >= 100.00) AND (web_sales.ws_sales_price <= 150.00)) OR ((web_sales.ws_sales_price >= 50.00) AND (web_sales.ws_sales_price <= 100.00))) OR ((web_sales.ws_sales_price >= 150.00) AND (web_sales.ws_sales_price <= 200.00))))
+--------------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF8
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF3 RF7
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[web_page]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(((((cd1.cd_marital_status = 'M') AND (cd1.cd_education_status = '4 yr Degree')) OR ((cd1.cd_marital_status = 'S') AND (cd1.cd_education_status = 'Secondary'))) OR ((cd1.cd_marital_status = 'W') AND (cd1.cd_education_status = 'Advanced Degree'))))
+------------------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((ca_state IN ('DE', 'FL', 'TX') OR ca_state IN ('ID', 'IN', 'ND')) OR ca_state IN ('IL', 'MT', 'OH')) and (customer_address.ca_country = 'United States'))
+------------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_year = 2000))
+------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[reason]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.out
new file mode 100644
index 0000000000..7867bb396e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_86 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((d1.d_month_seq <= 1235) and (d1.d_month_seq >= 1224))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.out
new file mode 100644
index 0000000000..6da5cc3a86
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_87 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------PhysicalExcept
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[customer]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------PhysicalOlapScan[date_dim]
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cs_bill_customer_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[customer]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------PhysicalOlapScan[date_dim]
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.out
new file mode 100644
index 0000000000..71b7c40ab2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.out
@@ -0,0 +1,195 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_88 --
+PhysicalResultSink
+--PhysicalProject
+----NestedLoopJoin[CROSS_JOIN]
+------NestedLoopJoin[CROSS_JOIN]
+--------NestedLoopJoin[CROSS_JOIN]
+----------NestedLoopJoin[CROSS_JOIN]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------NestedLoopJoin[CROSS_JOIN]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF23 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF22 hd_demo_sk->[ss_hdemo_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF21 t_time_sk->[ss_sold_time_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF21 RF22 RF23
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((time_dim.t_hour = 8) and (time_dim.t_minute >= 30))
+----------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((store.s_store_name = 'ese'))
+----------------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF20 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF19 hd_demo_sk->[ss_hdemo_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF18 t_time_sk->[ss_sold_time_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF18 RF19 RF20
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((time_dim.t_hour = 9) and (time_dim.t_minute < 30))
+------------------------------------------PhysicalOlapScan[time_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------------------PhysicalOlapScan[household_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((store.s_store_name = 'ese'))
+------------------------------------PhysicalOlapScan[store]
+----------------PhysicalDistribute
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF17 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF16 hd_demo_sk->[ss_hdemo_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF15 t_time_sk->[ss_sold_time_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF15 RF16 RF17
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((time_dim.t_hour = 9) and (time_dim.t_minute >= 30))
+----------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((store.s_store_name = 'ese'))
+----------------------------------PhysicalOlapScan[store]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF14 s_store_sk->[ss_store_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF13 hd_demo_sk->[ss_hdemo_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF12 t_time_sk->[ss_sold_time_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF12 RF13 RF14
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((time_dim.t_hour = 10) and (time_dim.t_minute < 30))
+--------------------------------------PhysicalOlapScan[time_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((store.s_store_name = 'ese'))
+--------------------------------PhysicalOlapScan[store]
+------------PhysicalDistribute
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF11 s_store_sk->[ss_store_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF10 hd_demo_sk->[ss_hdemo_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF9 t_time_sk->[ss_sold_time_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF9 RF10 RF11
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((time_dim.t_hour = 10) and (time_dim.t_minute >= 30))
+------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------------PhysicalOlapScan[household_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((store.s_store_name = 'ese'))
+------------------------------PhysicalOlapScan[store]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF8 s_store_sk->[ss_store_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF7 hd_demo_sk->[ss_hdemo_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF6 t_time_sk->[ss_sold_time_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF6 RF7 RF8
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((time_dim.t_hour = 11) and (time_dim.t_minute < 30))
+----------------------------------PhysicalOlapScan[time_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------PhysicalOlapScan[household_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((store.s_store_name = 'ese'))
+----------------------------PhysicalOlapScan[store]
+--------PhysicalDistribute
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF5 s_store_sk->[ss_store_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF4 hd_demo_sk->[ss_hdemo_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF3 t_time_sk->[ss_sold_time_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF3 RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((time_dim.t_hour = 11) and (time_dim.t_minute >= 30))
+--------------------------------PhysicalOlapScan[time_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+------------------------------PhysicalOlapScan[household_demographics]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((store.s_store_name = 'ese'))
+--------------------------PhysicalOlapScan[store]
+------PhysicalDistribute
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF0 t_time_sk->[ss_sold_time_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((time_dim.t_hour = 12) and (time_dim.t_minute < 30))
+------------------------------PhysicalOlapScan[time_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------PhysicalOlapScan[household_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((store.s_store_name = 'ese'))
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.out
new file mode 100644
index 0000000000..d84b39a38a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_89 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------filter((if(( not (avg_monthly_sales = 0.0000)), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1))
+--------------PhysicalWindow
+----------------PhysicalQuickSort[LOCAL_SORT]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(((i_category IN ('Electronics', 'Jewelry', 'Shoes') AND i_class IN ('athletic', 'portable', 'semi-precious')) OR (i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'maternity', 'rock'))))
+----------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_year = 1999))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.out
new file mode 100644
index 0000000000..5b3610bc2e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.out
@@ -0,0 +1,145 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_9 --
+PhysicalResultSink
+--PhysicalDistribute
+----PhysicalProject
+------NestedLoopJoin[CROSS_JOIN]
+--------NestedLoopJoin[CROSS_JOIN]
+----------NestedLoopJoin[CROSS_JOIN]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------NestedLoopJoin[CROSS_JOIN]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------NestedLoopJoin[CROSS_JOIN]
+--------------------NestedLoopJoin[CROSS_JOIN]
+----------------------NestedLoopJoin[CROSS_JOIN]
+------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------NestedLoopJoin[CROSS_JOIN]
+----------------------------NestedLoopJoin[CROSS_JOIN]
+------------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------------NestedLoopJoin[CROSS_JOIN]
+----------------------------------PhysicalProject
+------------------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------------------PhysicalProject
+----------------------------------------filter((reason.r_reason_sk = 1))
+------------------------------------------PhysicalOlapScan[reason]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashAgg[LOCAL]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+----------------------------------------------------PhysicalOlapScan[store_sales]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalAssertNumRows
+--------------------------------------hashAgg[GLOBAL]
+----------------------------------------PhysicalDistribute
+------------------------------------------hashAgg[LOCAL]
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalAssertNumRows
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+----------------------------------------------PhysicalOlapScan[store_sales]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalAssertNumRows
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+--------------------------------------------PhysicalOlapScan[store_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------hashAgg[GLOBAL]
+----------------------------------PhysicalDistribute
+------------------------------------hashAgg[LOCAL]
+--------------------------------------PhysicalProject
+----------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalAssertNumRows
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+----------------------------------------PhysicalOlapScan[store_sales]
+------------------------PhysicalDistribute
+--------------------------PhysicalAssertNumRows
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+--------------------------------------PhysicalOlapScan[store_sales]
+----------------------PhysicalDistribute
+------------------------PhysicalAssertNumRows
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+------------------------------------PhysicalOlapScan[store_sales]
+--------------------PhysicalDistribute
+----------------------PhysicalAssertNumRows
+------------------------hashAgg[GLOBAL]
+--------------------------PhysicalDistribute
+----------------------------hashAgg[LOCAL]
+------------------------------PhysicalProject
+--------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+----------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalAssertNumRows
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+--------------------------------PhysicalOlapScan[store_sales]
+----------------PhysicalDistribute
+------------------PhysicalAssertNumRows
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+------------------------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalAssertNumRows
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+----------------------------PhysicalOlapScan[store_sales]
+------------PhysicalDistribute
+--------------PhysicalAssertNumRows
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+--------------------------PhysicalOlapScan[store_sales]
+----------PhysicalDistribute
+------------PhysicalAssertNumRows
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+------------------------PhysicalOlapScan[store_sales]
+--------PhysicalDistribute
+----------PhysicalAssertNumRows
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+----------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.out
new file mode 100644
index 0000000000..fe04477a9e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.out
@@ -0,0 +1,57 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_90 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------PhysicalProject
+--------NestedLoopJoin[CROSS_JOIN]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF5 wp_web_page_sk->[ws_web_page_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF4 t_time_sk->[ws_sold_time_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF3 hd_demo_sk->[ws_ship_hdemo_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF3 RF4 RF5
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((household_demographics.hd_dep_count = 2))
+------------------------------------PhysicalOlapScan[household_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((time_dim.t_hour <= 11) and (time_dim.t_hour >= 10))
+------------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((web_page.wp_char_count <= 5200) and (web_page.wp_char_count >= 5000))
+--------------------------PhysicalOlapScan[web_page]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF2 wp_web_page_sk->[ws_web_page_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF1 t_time_sk->[ws_sold_time_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF0 hd_demo_sk->[ws_ship_hdemo_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((household_demographics.hd_dep_count = 2))
+--------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((time_dim.t_hour <= 17) and (time_dim.t_hour >= 16))
+--------------------------------PhysicalOlapScan[time_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((web_page.wp_char_count <= 5200) and (web_page.wp_char_count >= 5000))
+----------------------------PhysicalOlapScan[web_page]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.out
new file mode 100644
index 0000000000..3710e9d502
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_91 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((household_demographics.hd_demo_sk = customer.c_current_hdemo_sk)) otherCondition=() build RFs:RF5 hd_demo_sk->[c_current_hdemo_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk)) otherCondition=() build RFs:RF4 cd_demo_sk->[c_current_cdemo_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returning_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cr_returning_customer_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_call_center_sk = call_center.cc_call_center_sk)) otherCondition=()
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cr_returned_date_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF0 RF2
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2001))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[call_center]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[customer] apply RFs: RF3 RF4 RF5
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+------------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = 'Unknown')) OR ((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'Advanced Degree'))))
+------------------------------PhysicalOlapScan[customer_demographics]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((hd_buy_potential like '1001-5000%'))
+--------------------------PhysicalOlapScan[household_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.out
new file mode 100644
index 0000000000..76fed6f297
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_92 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------filter((cast(ws_ext_discount_amt as DECIMALV3(38, 5)) > (1.3 * avg(cast(ws_ext_discount_amt as DECIMALV3(9, 4))) OVER(PARTITION BY i_item_sk))))
+----------------PhysicalWindow
+------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_manufact_id = 320))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '2002-05-27') and (date_dim.d_date >= '2002-02-26'))
+------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.out
new file mode 100644
index 0000000000..66be953027
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.out
@@ -0,0 +1,22 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_93 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_reason_sk = reason.r_reason_sk)) otherCondition=() build RFs:RF2 r_reason_sk->[sr_reason_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_item_sk = store_sales.ss_item_sk) and (store_returns.sr_ticket_number = store_sales.ss_ticket_number)) otherCondition=() build RFs:RF0 sr_item_sk->[ss_item_sk];RF1 sr_ticket_number->[ss_ticket_number]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_returns] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((reason.r_reason_desc = 'duplicate purchase'))
+------------------------PhysicalOlapScan[reason]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.out
new file mode 100644
index 0000000000..e0e4351f8f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.out
@@ -0,0 +1,39 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_94 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF3 web_site_sk->[ws_web_site_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ws_ship_addr_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((ws1.ws_order_number = wr1.wr_order_number)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_ship_date_sk]
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = ws2.ws_order_number)) otherCondition=(( not (ws_warehouse_sk = ws_warehouse_sk)))
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1 RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '2000-04-01') and (date_dim.d_date >= '2000-02-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_returns]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_state = 'OK'))
+--------------------------PhysicalOlapScan[customer_address]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((web_site.web_company_name = 'pri'))
+----------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.out
new file mode 100644
index 0000000000..8d0bff2674
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.out
@@ -0,0 +1,54 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_95 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_order_number = ws2.ws_order_number)) otherCondition=(( not (ws_warehouse_sk = ws_warehouse_sk)))
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[web_sales]
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[web_sales]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF5 web_site_sk->[ws_web_site_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF4 ca_address_sk->[ws_ship_addr_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_ship_date_sk]
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = ws_wh.ws_order_number)) otherCondition=()
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF2 wr_order_number->[ws_order_number]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3 RF4 RF5
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_order_number = ws_wh.ws_order_number)) otherCondition=() build RFs:RF1 wr_order_number->[ws_order_number]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_returns]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '1999-04-02') and (date_dim.d_date >= '1999-02-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((customer_address.ca_state = 'NC'))
+----------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((web_site.web_company_name = 'pri'))
+------------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.out
new file mode 100644
index 0000000000..daf0b67a0e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_96 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF0 t_time_sk->[ss_sold_time_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((time_dim.t_hour = 8) and (time_dim.t_minute >= 30))
+----------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((household_demographics.hd_dep_count = 3))
+--------------------------PhysicalOlapScan[household_demographics]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((store.s_store_name = 'ese'))
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.out
new file mode 100644
index 0000000000..7b8832c172
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_97 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[FULL_OUTER_JOIN] hashCondition=((ssci.customer_sk = csci.customer_sk) and (ssci.item_sk = csci.item_sk)) otherCondition=()
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1225) and (date_dim.d_month_seq >= 1214))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1225) and (date_dim.d_month_seq >= 1214))
+----------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.out
new file mode 100644
index 0000000000..9b770419b7
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_98 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(i_category IN ('Music', 'Shoes', 'Sports'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '2002-06-19') and (date_dim.d_date >= '2002-05-20'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.out
new file mode 100644
index 0000000000..24c8cee59e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_99 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_ship_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_call_center_sk = call_center.cc_call_center_sk)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[call_center]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_month_seq <= 1235) and (date_dim.d_month_seq >= 1224))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[ship_mode]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.out
new file mode 100644
index 0000000000..31c4855312
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.out
@@ -0,0 +1,43 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_1 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((date_dim.d_year = 2000))
+----------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_store_sk = ctr2.ctr_store_sk)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = ctr1.ctr_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ctr_store_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF1 c_customer_sk->[ctr_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((store.s_state = 'SD'))
+--------------------------PhysicalOlapScan[store]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.out
new file mode 100644
index 0000000000..5281f8502a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_10 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(($c$1 OR $c$2))
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=()
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=() build RFs:RF3 cd_demo_sk->[c_current_cdemo_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer] apply RFs: RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(ca_county IN ('Cochran County', 'Kandiyohi County', 'Marquette County', 'Storey County', 'Warren County'))
+----------------------------------------------PhysicalOlapScan[customer_address]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.out
new file mode 100644
index 0000000000..f4d1905944
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.out
@@ -0,0 +1,67 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_11 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[ss_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (2001, 2002))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (2001, 2002))
+------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0.00), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), 0) > if((year_total > 0.00), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), 0)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_firstyear.dyear = 2001) and (t_s_firstyear.sale_type = 's') and (t_s_firstyear.year_total > 0.00))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_secyear.dyear = 2002) and (t_s_secyear.sale_type = 's'))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.dyear = 2001) and (t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year_total > 0.00))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.dyear = 2002) and (t_w_secyear.sale_type = 'w'))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.out
new file mode 100644
index 0000000000..02b9aba0d8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.out
@@ -0,0 +1,29 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_12 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ws_item_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(i_category IN ('Books', 'Men', 'Sports'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1998-05-06') and (date_dim.d_date >= '1998-04-06'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.out
new file mode 100644
index 0000000000..352b73fcf1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.out
@@ -0,0 +1,41 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_13 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('KS', 'MI', 'SD') AND ((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00))) OR (ca_state IN ('CO', 'MO', 'ND') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00)))) OR (ca_state IN ('NH', 'OH', 'TX') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))))) build RFs:RF3 ca_address_sk->[ss_addr_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=(((((((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Unknown')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) AND (household_demographics.hd_dep_count = 3)) OR ((((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) AND (household_demographics.hd_dep_count = 1))) OR ((((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '4 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))) AND (household_demographics.hd_dep_count = 1)))) build RFs:RF2 hd_demo_sk->[ss_hdemo_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=() build RFs:RF1 cd_demo_sk->[ss_cdemo_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF0 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------filter(((((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))) and ((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3 RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(((((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Unknown')) OR ((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'College'))) OR ((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '4 yr Degree'))))
+--------------------------------PhysicalOlapScan[customer_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((household_demographics.hd_dep_count = 3) OR (household_demographics.hd_dep_count = 1)))
+----------------------------PhysicalOlapScan[household_demographics]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((ca_state IN ('KS', 'MI', 'SD') OR ca_state IN ('CO', 'MO', 'ND')) OR ca_state IN ('NH', 'OH', 'TX')) and (customer_address.ca_country = 'United States'))
+----------------------PhysicalOlapScan[customer_address]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------filter((date_dim.d_year = 2001))
+------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.out
new file mode 100644
index 0000000000..8ead4322fb
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.out
@@ -0,0 +1,177 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_14 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashJoin[INNER_JOIN] hashCondition=((item.i_brand_id = t.brand_id) and (item.i_category_id = t.category_id) and (item.i_class_id = t.class_id)) otherCondition=() build RFs:RF6 i_class_id->[i_class_id];RF7 i_category_id->[i_category_id];RF8 i_brand_id->[i_brand_id]
+--------PhysicalIntersect
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = iss.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item] apply RFs: RF6 RF7 RF8
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d1.d_year <= 2002) and (d1.d_year >= 2000))
+----------------------PhysicalOlapScan[date_dim]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = ics.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[cs_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d2.d_year <= 2002) and (d2.d_year >= 2000))
+----------------------PhysicalOlapScan[date_dim]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ws_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = iws.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ws_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d3.d_year <= 2002) and (d3.d_year >= 2000))
+----------------------PhysicalOlapScan[date_dim]
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[item]
+--PhysicalCteAnchor ( cteId=CTEId#1 )
+----PhysicalCteProducer ( cteId=CTEId#1 )
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalUnion
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ss_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF9
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF10 d_date_sk->[cs_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales] apply RFs: RF10
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[ws_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales] apply RFs: RF11
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalRepeat
+----------------------PhysicalUnion
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((store_sales.ss_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF14 ss_item_sk->[ss_item_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF13 d_date_sk->[ss_sold_date_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF12 i_item_sk->[ss_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF12 RF13 RF14
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF17 ss_item_sk->[cs_item_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF16 d_date_sk->[cs_sold_date_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF15 i_item_sk->[cs_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF15 RF16 RF17
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF20 ss_item_sk->[ws_item_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF19 d_date_sk->[ws_sold_date_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF18 i_item_sk->[ws_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF18 RF19 RF20
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.out
new file mode 100644
index 0000000000..cc2c80573c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_15 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cs_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=(((substring(ca_zip, 1, 5) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') OR ca_state IN ('CA', 'GA', 'WA')) OR (catalog_sales.cs_sales_price > 500.00))) build RFs:RF1 ca_address_sk->[c_current_addr_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[cs_bill_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF2
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer] apply RFs: RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((date_dim.d_qoy = 1) and (date_dim.d_year = 2001))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.out
new file mode 100644
index 0000000000..fbab9af78a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.out
@@ -0,0 +1,39 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_16 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_call_center_sk = call_center.cc_call_center_sk)) otherCondition=() build RFs:RF3 cc_call_center_sk->[cs_call_center_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[cs_ship_addr_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((cs1.cs_order_number = cr1.cr_order_number)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_ship_date_sk]
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((cs1.cs_order_number = cs2.cs_order_number)) otherCondition=(( not (cs_warehouse_sk = cs_warehouse_sk))) build RFs:RF0 cs_order_number->[cs_order_number]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '2002-05-31') and (date_dim.d_date >= '2002-04-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_returns]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_state = 'WV'))
+--------------------------PhysicalOlapScan[customer_address]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(cc_county IN ('Barrow County', 'Daviess County', 'Luce County', 'Richland County', 'Ziebach County'))
+----------------------PhysicalOlapScan[call_center]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.out
new file mode 100644
index 0000000000..999b4e2314
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.out
@@ -0,0 +1,51 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_17 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF9 s_store_sk->[ss_store_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF8 i_item_sk->[ss_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[sr_returned_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF3 cs_bill_customer_sk->[sr_customer_sk];RF4 cs_item_sk->[sr_item_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF5 RF8 RF9
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF3 RF4 RF6
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_quarter_name = '2001Q1'))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.out
new file mode 100644
index 0000000000..155dc7d4f8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_18 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF5 i_item_sk->[cs_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_cdemo_sk = cd2.cd_demo_sk)) otherCondition=() build RFs:RF2 cd_demo_sk->[c_current_cdemo_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF1 c_customer_sk->[cs_bill_customer_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = cd1.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[cs_bill_cdemo_sk]
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF4 RF5
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((cd1.cd_education_status = 'Advanced Degree') and (cd1.cd_gender = 'F'))
+--------------------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter(c_birth_month IN (1, 10, 2, 4, 7, 8))
+--------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF2 RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(ca_state IN ('GA', 'IN', 'ME', 'NC', 'OK', 'WA', 'WY'))
+--------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 1998))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.out
new file mode 100644
index 0000000000..d09aed0c33
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.out
@@ -0,0 +1,41 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_19 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=(( not (substring(ca_zip, 1, 5) = substring(s_zip, 1, 5)))) build RFs:RF4 s_store_sk->[ss_store_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF1 c_customer_sk->[ss_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF3 RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer] apply RFs: RF2
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_manager_id = 2))
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.out
new file mode 100644
index 0000000000..11f592ca8e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.out
@@ -0,0 +1,45 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_2 --
+PhysicalCteAnchor ( cteId=CTEId#1 )
+--PhysicalCteProducer ( cteId=CTEId#1 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = wscs.sold_date_sk)) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalUnion
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = d_week_seq2)) otherCondition=() build RFs:RF1 d_week_seq->[d_week_seq]
+--------------hashJoin[INNER_JOIN] hashCondition=((expr_cast(d_week_seq1 as BIGINT) = expr_(d_week_seq2 - 53))) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = d_week_seq1)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 1998))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((date_dim.d_year = 1999))
+--------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.out
new file mode 100644
index 0000000000..ed50b3eee7
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.out
@@ -0,0 +1,29 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_20 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(i_category IN ('Books', 'Shoes', 'Women'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '2002-02-25') and (date_dim.d_date >= '2002-01-26'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.out
new file mode 100644
index 0000000000..a7b41e3af9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_21 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------filter((if((inv_before > 0), (cast(inv_after as DOUBLE) / cast(inv_before as DOUBLE)), NULL) <= 1.5) and (if((inv_before > 0), (cast(inv_after as DOUBLE) / cast(inv_before as DOUBLE)), NULL) >= cast((2.000000 / 3.0) as DOUBLE)))
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[inv_date_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF1 w_warehouse_sk->[inv_warehouse_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = inventory.inv_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[inv_item_sk]
+--------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1 RF2
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_current_price <= 1.49) and (item.i_current_price >= 0.99))
+--------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[warehouse]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_date <= '2002-03-29') and (date_dim.d_date >= '2002-01-28'))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.out
new file mode 100644
index 0000000000..d2321a0223
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.out
@@ -0,0 +1,26 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_22 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[inv_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1199) and (date_dim.d_month_seq >= 1188))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query23.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query23.out
new file mode 100644
index 0000000000..7d76b9a3bd
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query23.out
@@ -0,0 +1,102 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_23 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------filter((cnt > 4))
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[item]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter(d_year IN (2000, 2001, 2002, 2003))
+--------------------PhysicalOlapScan[date_dim]
+--PhysicalCteAnchor ( cteId=CTEId#2 )
+----PhysicalCteProducer ( cteId=CTEId#2 )
+------PhysicalProject
+--------NestedLoopJoin[INNER_JOIN](cast(ssales as DOUBLE) > cast((0.9500 * tpcds_cmax) as DOUBLE))
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ss_customer_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF4
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (2000, 2001, 2002, 2003))
+----------------------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalLimit[GLOBAL]
+--------PhysicalLimit[LOCAL]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalUnion
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_item_sk = frequent_ss_items.item_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = best_ss_customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[cs_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalCteConsumer ( cteId=CTEId#2 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_item_sk = frequent_ss_items.item_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = best_ss_customer.c_customer_sk)) otherCondition=() build RFs:RF7 c_customer_sk->[ws_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF7 RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalCteConsumer ( cteId=CTEId#2 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query24.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query24.out
new file mode 100644
index 0000000000..0ceeefd675
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query24.out
@@ -0,0 +1,57 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_24 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store.s_zip = customer_address.ca_zip) and (store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF5 s_zip->[ca_zip];RF6 s_store_sk->[ss_store_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ss_item_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=(( not (c_birth_country = upper(ca_country)))) build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_item_sk->[ss_item_sk];RF1 sr_ticket_number->[ss_ticket_number]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF4 RF6
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_returns]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address] apply RFs: RF5
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((store.s_market_id = 8))
+----------------------PhysicalOlapScan[store]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------NestedLoopJoin[INNER_JOIN](cast(paid as DOUBLE) > cast((0.05 * avg(cast(netpaid as DECIMALV3(38, 4)))) as DOUBLE))
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ssales.i_color = 'beige'))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query25.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query25.out
new file mode 100644
index 0000000000..6d2fc480e9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query25.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_25 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF9 s_store_sk->[ss_store_sk]
+------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF8 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[sr_returned_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF3 cs_bill_customer_sk->[sr_customer_sk];RF4 cs_item_sk->[sr_item_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF5 RF8 RF9
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF3 RF4 RF6
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((d1.d_moy = 4) and (d1.d_year = 2000))
+----------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((d2.d_moy <= 10) and (d2.d_moy >= 4) and (d2.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d3.d_moy <= 10) and (d3.d_moy >= 4) and (d3.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query26.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query26.out
new file mode 100644
index 0000000000..5b2f18d1c5
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query26.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_26 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF3 p_promo_sk->[cs_promo_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[cs_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[cs_bill_cdemo_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((customer_demographics.cd_education_status = 'Unknown') and (customer_demographics.cd_gender = 'M') and (customer_demographics.cd_marital_status = 'S'))
+--------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 2001))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((promotion.p_channel_email = 'N') OR (promotion.p_channel_event = 'N')))
+------------------------PhysicalOlapScan[promotion]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query27.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query27.out
new file mode 100644
index 0000000000..083ff4d486
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query27.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_27 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalRepeat
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_demographics.cd_education_status = 'Secondary') and (customer_demographics.cd_gender = 'F') and (customer_demographics.cd_marital_status = 'D'))
+----------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_year = 1999))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(s_state IN ('AL', 'LA', 'MI', 'MO', 'SC', 'TN'))
+------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query28.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query28.out
new file mode 100644
index 0000000000..079837446a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query28.out
@@ -0,0 +1,63 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_28 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------PhysicalProject
+--------NestedLoopJoin[CROSS_JOIN]
+----------PhysicalLimit[LOCAL]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------PhysicalLimit[LOCAL]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------PhysicalLimit[LOCAL]
+--------------------NestedLoopJoin[CROSS_JOIN]
+----------------------PhysicalLimit[LOCAL]
+------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------PhysicalLimit[LOCAL]
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter(((((store_sales.ss_list_price >= 131.00) AND (store_sales.ss_list_price <= 141.00)) OR ((store_sales.ss_coupon_amt >= 16798.00) AND (store_sales.ss_coupon_amt <= 17798.00))) OR ((store_sales.ss_wholesale_cost >= 25.00) AND (store_sales.ss_wholesale_cost <= 45.00))) and (store_sales.ss_quantity <= 5) and (store_sales.ss_quantity >= 0))
+--------------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalLimit[LOCAL]
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------filter(((((store_sales.ss_list_price >= 145.00) AND (store_sales.ss_list_price <= 155.00)) OR ((store_sales.ss_coupon_amt >= 14792.00) AND (store_sales.ss_coupon_amt <= 15792.00))) OR ((store_sales.ss_wholesale_cost >= 46.00) AND (store_sales.ss_wholesale_cost <= 66.00))) and (store_sales.ss_quantity <= 10) and (store_sales.ss_quantity >= 6))
+----------------------------------------PhysicalOlapScan[store_sales]
+----------------------PhysicalDistribute
+------------------------PhysicalLimit[LOCAL]
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------filter(((((store_sales.ss_list_price >= 150.00) AND (store_sales.ss_list_price <= 1.6E+2)) OR ((store_sales.ss_coupon_amt >= 6600.00) AND (store_sales.ss_coupon_amt <= 7.6E+3))) OR ((store_sales.ss_wholesale_cost >= 9.00) AND (store_sales.ss_wholesale_cost <= 29.00))) and (store_sales.ss_quantity <= 15) and (store_sales.ss_quantity >= 11))
+------------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalLimit[LOCAL]
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter(((((store_sales.ss_list_price >= 91.00) AND (store_sales.ss_list_price <= 101.00)) OR ((store_sales.ss_coupon_amt >= 13493.00) AND (store_sales.ss_coupon_amt <= 14493.00))) OR ((store_sales.ss_wholesale_cost >= 36.00) AND (store_sales.ss_wholesale_cost <= 56.00))) and (store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 16))
+--------------------------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalLimit[LOCAL]
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------filter(((((store_sales.ss_list_price >= 0.00) AND (store_sales.ss_list_price <= 10.00)) OR ((store_sales.ss_coupon_amt >= 7629.00) AND (store_sales.ss_coupon_amt <= 8629.00))) OR ((store_sales.ss_wholesale_cost >= 6.00) AND (store_sales.ss_wholesale_cost <= 26.00))) and (store_sales.ss_quantity <= 25) and (store_sales.ss_quantity >= 21))
+----------------------------PhysicalOlapScan[store_sales]
+----------PhysicalDistribute
+------------PhysicalLimit[LOCAL]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------filter(((((store_sales.ss_list_price >= 89.00) AND (store_sales.ss_list_price <= 99.00)) OR ((store_sales.ss_coupon_amt >= 15257.00) AND (store_sales.ss_coupon_amt <= 16257.00))) OR ((store_sales.ss_wholesale_cost >= 31.00) AND (store_sales.ss_wholesale_cost <= 51.00))) and (store_sales.ss_quantity <= 30) and (store_sales.ss_quantity >= 26))
+------------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query29.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query29.out
new file mode 100644
index 0000000000..89b8232c93
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query29.out
@@ -0,0 +1,49 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_29 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF9 s_store_sk->[ss_store_sk]
+------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF8 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[sr_returned_date_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF3 cs_bill_customer_sk->[sr_customer_sk];RF4 cs_item_sk->[sr_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF5 RF8 RF9
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF3 RF4 RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF6
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((d1.d_moy = 4) and (d1.d_year = 1999))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (1999, 2000, 2001))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d2.d_moy <= 7) and (d2.d_moy >= 4) and (d2.d_year = 1999))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query3.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query3.out
new file mode 100644
index 0000000000..7704d94620
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query3.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_3 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_manufact_id = 816))
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((dt.d_moy = 11))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query30.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query30.out
new file mode 100644
index 0000000000..7210aa39a5
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query30.out
@@ -0,0 +1,51 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_30 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returning_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF1 ca_address_sk->[wr_returning_addr_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[wr_returned_date_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_returns] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2002))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_state = ctr2.ctr_state)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ctr_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_state = 'IN'))
+--------------------------PhysicalOlapScan[customer_address]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query31.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query31.out
new file mode 100644
index 0000000000..6904260663
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query31.out
@@ -0,0 +1,75 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_31 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[ss_addr_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((ss.d_year = 2000) and d_qoy IN (1, 2, 3))
+--------------------PhysicalOlapScan[date_dim]
+--PhysicalCteAnchor ( cteId=CTEId#1 )
+----PhysicalCteProducer ( cteId=CTEId#1 )
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ws_bill_addr_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer_address]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((ws.d_year = 2000) and d_qoy IN (1, 2, 3))
+----------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalQuickSort[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalQuickSort[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((ws1.ca_county = ws3.ca_county)) otherCondition=((if((web_sales > 0.00), (cast(web_sales as DOUBLE) / cast(web_sales as DOUBLE)), NULL) > if((store_sales > 0.00), (cast(store_sales as DOUBLE) / cast(store_sales as DOUBLE)), NULL)))
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ca_county = ws2.ca_county)) otherCondition=((if((web_sales > 0.00), (cast(web_sales as DOUBLE) / cast(web_sales as DOUBLE)), NULL) > if((store_sales > 0.00), (cast(store_sales as DOUBLE) / cast(store_sales as DOUBLE)), NULL)))
+--------------------hashJoin[INNER_JOIN] hashCondition=((ss1.ca_county = ws1.ca_county)) otherCondition=()
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((ss2.ca_county = ss3.ca_county)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ss1.ca_county = ss2.ca_county)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((ss1.d_qoy = 1) and (ss1.d_year = 2000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((ss2.d_qoy = 2) and (ss2.d_year = 2000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((ss3.d_qoy = 3) and (ss3.d_year = 2000))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((ws1.d_qoy = 1) and (ws1.d_year = 2000))
+----------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ws2.d_qoy = 2) and (ws2.d_year = 2000))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((ws3.d_qoy = 3) and (ws3.d_year = 2000))
+----------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query32.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query32.out
new file mode 100644
index 0000000000..0a7225bec3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query32.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_32 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------filter((cast(cs_ext_discount_amt as DECIMALV3(38, 5)) > (1.3 * avg(cast(cs_ext_discount_amt as DECIMALV3(9, 4))) OVER(PARTITION BY i_item_sk))))
+----------------PhysicalWindow
+------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_manufact_id = 29))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '1999-04-07') and (date_dim.d_date >= '1999-01-07'))
+------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query33.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query33.out
new file mode 100644
index 0000000000..2bb568f846
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query33.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_33 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF0 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF4 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF8 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query34.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query34.out
new file mode 100644
index 0000000000..3ffc006fbb
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query34.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_34 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 ss_customer_sk->[c_customer_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer] apply RFs: RF3
+------------PhysicalDistribute
+--------------filter((dn.cnt <= 20) and (dn.cnt >= 15))
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_dom >= 1) AND (date_dim.d_dom <= 3)) OR ((date_dim.d_dom >= 25) AND (date_dim.d_dom <= 28))) and d_year IN (1998, 1999, 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((household_demographics.hd_vehicle_count > 0) and (if((hd_vehicle_count > 0), (cast(hd_dep_count as DOUBLE) / cast(hd_vehicle_count as DOUBLE)), NULL) > 1.2) and hd_buy_potential IN ('0-500', '1001-5000'))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(s_county IN ('Barrow County', 'Daviess County', 'Franklin Parish', 'Luce County', 'Richland County', 'Walker County', 'Williamson County', 'Ziebach County'))
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query35.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query35.out
new file mode 100644
index 0000000000..0980391d1d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query35.out
@@ -0,0 +1,60 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_35 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(($c$1 OR $c$2))
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=()
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=() build RFs:RF3 cd_demo_sk->[c_current_cdemo_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer] apply RFs: RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer_address]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query36.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query36.out
new file mode 100644
index 0000000000..3539aaace6
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query36.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_36 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((d1.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(s_state IN ('AL', 'GA', 'MI', 'MO', 'OH', 'SC', 'SD', 'TN'))
+--------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query37.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query37.out
new file mode 100644
index 0000000000..c385358a41
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query37.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_37 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[cs_item_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[inv_item_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = inventory.inv_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+--------------------------PhysicalProject
+----------------------------filter((inventory.inv_quantity_on_hand <= 500) and (inventory.inv_quantity_on_hand >= 100))
+------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1999-04-22') and (date_dim.d_date >= '1999-02-21'))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_current_price <= 75.00) and (item.i_current_price >= 45.00) and i_manufact_id IN (1000, 707, 747, 856))
+------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query38.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query38.out
new file mode 100644
index 0000000000..86b4cc2bf3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query38.out
@@ -0,0 +1,61 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_38 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------PhysicalIntersect
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[ss_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cs_bill_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query39.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query39.out
new file mode 100644
index 0000000000..601810d2d3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query39.out
@@ -0,0 +1,39 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_39 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------filter((if((mean = 0), 0, (stdev / mean)) > 1))
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF2 w_warehouse_sk->[inv_warehouse_sk]
+--------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[inv_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[inv_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1 RF2
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((date_dim.d_year = 1998) and d_moy IN (1, 2))
+----------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[warehouse]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((inv1.i_item_sk = inv2.i_item_sk) and (inv1.w_warehouse_sk = inv2.w_warehouse_sk)) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((inv1.d_moy = 1))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((inv2.d_moy = 2))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query4.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query4.out
new file mode 100644
index 0000000000..e5d2ab8bb3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query4.out
@@ -0,0 +1,97 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_4 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[ss_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = catalog_sales.cs_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cs_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ws_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL) > if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_c_secyear.customer_id)) otherCondition=((if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL) > if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL)))
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_c_firstyear.customer_id)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((t_s_firstyear.dyear = 1999) and (t_s_firstyear.sale_type = 's') and (t_s_firstyear.year_total > 0.000000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((t_s_secyear.dyear = 2000) and (t_s_secyear.sale_type = 's'))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((t_c_firstyear.dyear = 1999) and (t_c_firstyear.sale_type = 'c') and (t_c_firstyear.year_total > 0.000000))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((t_c_secyear.dyear = 2000) and (t_c_secyear.sale_type = 'c'))
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.dyear = 1999) and (t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year_total > 0.000000))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.dyear = 2000) and (t_w_secyear.sale_type = 'w'))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query40.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query40.out
new file mode 100644
index 0000000000..8135cdf1b7
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query40.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_40 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF2 w_warehouse_sk->[cs_warehouse_sk]
+------------------PhysicalProject
+--------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_current_price <= 1.49) and (item.i_current_price >= 0.99))
+--------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '2001-05-02') and (date_dim.d_date >= '2001-03-03'))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_returns]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query41.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query41.out
new file mode 100644
index 0000000000..3117ca5f1a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query41.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_41 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((item.i_manufact = i1.i_manufact)) otherCondition=() build RFs:RF0 i_manufact->[i_manufact]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((i1.i_manufact_id <= 788) and (i1.i_manufact_id >= 748))
+------------------------PhysicalOlapScan[item] apply RFs: RF0
+------------------PhysicalProject
+--------------------filter((item_cnt > 0))
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter((((((((((((item.i_category = 'Women') AND i_color IN ('aquamarine', 'gainsboro')) AND i_units IN ('Dozen', 'Ounce')) AND i_size IN ('economy', 'medium')) OR ((((item.i_category = 'Women') AND i_color IN ('chiffon', 'violet')) AND i_units IN ('Pound', 'Ton')) AND i_size IN ('extra large', 'small'))) OR ((((item.i_category = 'Women') AND i_color IN ('blanched', 'tomato')) AND i_units IN ('Case', 'Tbl')) AND i_size IN ('economy', 'medium'))) OR ((((item.i_category = 'Women') AND i_color IN ('almond', 'lime')) AND i_units IN ('Box', 'Dram')) AND i_size IN ('extra large', 'small'))) OR ((((item.i_category = 'Men') AND i_color IN ('blue', 'chartreuse')) AND i_units IN ('Each', 'Oz')) AND i_size IN ('N/A', 'large'))) OR ((((item.i_category = 'Men') AND i_color IN ('dodger', 'tan')) AND i_units IN ('Bunch', 'Tsp')) AND i_size IN ('economy', 'medium'))) OR ((((item.i_category = 'Men') AND i_color IN ('peru', 'saddle')) AND i_units IN ('Gram', 'Pallet')) AND i_size IN ('N/A', 'large'))) OR ((((item.i_category = 'Men') AND i_color IN ('indian', 'spring')) AND i_units IN ('Carton', 'Unknown')) AND i_size IN ('economy', 'medium'))))
+--------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query42.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query42.out
new file mode 100644
index 0000000000..7d6239b062
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query42.out
@@ -0,0 +1,23 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_42 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 1))
+--------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((dt.d_moy = 11) and (dt.d_year = 2002))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query43.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query43.out
new file mode 100644
index 0000000000..445a381983
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query43.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_43 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((store.s_gmt_offset = -5.00))
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query44.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query44.out
new file mode 100644
index 0000000000..a9fee885c5
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query44.out
@@ -0,0 +1,75 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_44 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((i2.i_item_sk = descending.item_sk)) otherCondition=()
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((i1.i_item_sk = asceding.item_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((asceding.rnk = descending.rnk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((rnk < 11))
+------------------------------PhysicalWindow
+--------------------------------PhysicalQuickSort[MERGE_SORT]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------------------PhysicalPartitionTopN
+----------------------------------------PhysicalProject
+------------------------------------------NestedLoopJoin[INNER_JOIN](cast(rank_col as DOUBLE) > cast((0.9 * rank_col) as DOUBLE))
+--------------------------------------------PhysicalProject
+----------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((ss1.ss_store_sk = 146))
+--------------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((store_sales.ss_store_sk = 146) and ss_addr_sk IS NULL)
+--------------------------------------------------------------PhysicalOlapScan[store_sales]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((rnk < 11))
+------------------------------PhysicalWindow
+--------------------------------PhysicalQuickSort[MERGE_SORT]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------------------PhysicalPartitionTopN
+----------------------------------------PhysicalProject
+------------------------------------------NestedLoopJoin[INNER_JOIN](cast(rank_col as DOUBLE) > cast((0.9 * rank_col) as DOUBLE))
+--------------------------------------------PhysicalProject
+----------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((ss1.ss_store_sk = 146))
+--------------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((store_sales.ss_store_sk = 146) and ss_addr_sk IS NULL)
+--------------------------------------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[item]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query45.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query45.out
new file mode 100644
index 0000000000..6417b1ca76
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query45.out
@@ -0,0 +1,43 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_45 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------filter((substring(ca_zip, 1, 5) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') OR $c$1))
+------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ws_item_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF1 ca_address_sk->[c_current_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[ws_bill_customer_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer] apply RFs: RF1
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_address]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_qoy = 2) and (date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(i_item_sk IN (11, 13, 17, 19, 2, 23, 29, 3, 5, 7))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query46.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query46.out
new file mode 100644
index 0000000000..478db9b52a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query46.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_46 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = current_addr.ca_address_sk)) otherCondition=(( not (ca_city = bought_city))) build RFs:RF5 ca_address_sk->[c_current_addr_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ss_customer_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[ss_addr_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3 RF4
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(d_dow IN (0, 6) and d_year IN (1999, 2000, 2001))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(((household_demographics.hd_dep_count = 6) OR (household_demographics.hd_vehicle_count = 0)))
+------------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(s_city IN ('Centerville', 'Fairview', 'Five Points', 'Liberty', 'Oak Grove'))
+----------------------------------------PhysicalOlapScan[store]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer] apply RFs: RF5
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query47.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query47.out
new file mode 100644
index 0000000000..c1121a9b3f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query47.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_47 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------PhysicalWindow
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_year = 2001) OR ((date_dim.d_year = 2000) AND (date_dim.d_moy = 12))) OR ((date_dim.d_year = 2002) AND (date_dim.d_moy = 1))))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((v1.i_brand = v1_lead.i_brand) and (v1.i_category = v1_lead.i_category) and (v1.rn = expr_(rn - 1)) and (v1.s_company_name = v1_lead.s_company_name) and (v1.s_store_name = v1_lead.s_store_name)) otherCondition=()
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((v1.i_brand = v1_lag.i_brand) and (v1.i_category = v1_lag.i_category) and (v1.rn = expr_(rn + 1)) and (v1.s_company_name = v1_lag.s_company_name) and (v1.s_store_name = v1_lag.s_store_name)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1) and (v2.avg_monthly_sales > 0.0000) and (v2.d_year = 2001))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query48.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query48.out
new file mode 100644
index 0000000000..95c57a9d53
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query48.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_48 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('IA', 'MD', 'MN') AND ((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00))) OR (ca_state IN ('IL', 'TX', 'VA') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00)))) OR (ca_state IN ('IN', 'MI', 'WI') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))))) build RFs:RF2 ca_address_sk->[ss_addr_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=((((((customer_demographics.cd_marital_status = 'U') AND (customer_demographics.cd_education_status = 'Primary')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) OR (((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00)))) OR (((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = '2 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))) build RFs:RF1 cd_demo_sk->[ss_cdemo_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF0 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------filter(((((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))) and ((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((((customer_demographics.cd_marital_status = 'U') AND (customer_demographics.cd_education_status = 'Primary')) OR ((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'College'))) OR ((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = '2 yr Degree'))))
+------------------------------PhysicalOlapScan[customer_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((ca_state IN ('IA', 'MD', 'MN') OR ca_state IN ('IL', 'TX', 'VA')) OR ca_state IN ('IN', 'MI', 'WI')) and (customer_address.ca_country = 'United States'))
+------------------------PhysicalOlapScan[customer_address]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------filter((date_dim.d_year = 1999))
+------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query49.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query49.out
new file mode 100644
index 0000000000..90fd3b15f2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query49.out
@@ -0,0 +1,94 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_49 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((ws.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((ws.ws_item_sk = wr.wr_item_sk) and (ws.ws_order_number = wr.wr_order_number)) otherCondition=() build RFs:RF0 wr_order_number->[ws_order_number];RF1 wr_item_sk->[ws_item_sk]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((ws.ws_net_paid > 0.00) and (ws.ws_net_profit > 1.00) and (ws.ws_quantity > 0))
+--------------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((wr.wr_return_amt > 10000.00))
+--------------------------------------------------------PhysicalOlapScan[web_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs.cs_item_sk = cr.cr_item_sk) and (cs.cs_order_number = cr.cr_order_number)) otherCondition=() build RFs:RF3 cr_order_number->[cs_order_number];RF4 cr_item_sk->[cs_item_sk]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((cs.cs_net_paid > 0.00) and (cs.cs_net_profit > 1.00) and (cs.cs_quantity > 0))
+--------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF3 RF4 RF5
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((cr.cr_return_amount > 10000.00))
+--------------------------------------------------------PhysicalOlapScan[catalog_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((sts.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((sts.ss_item_sk = sr.sr_item_sk) and (sts.ss_ticket_number = sr.sr_ticket_number)) otherCondition=() build RFs:RF6 sr_ticket_number->[ss_ticket_number];RF7 sr_item_sk->[ss_item_sk]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((sts.ss_net_paid > 0.00) and (sts.ss_net_profit > 1.00) and (sts.ss_quantity > 0))
+------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF6 RF7 RF8
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((sr.sr_return_amt > 10000.00))
+------------------------------------------------------PhysicalOlapScan[store_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query5.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query5.out
new file mode 100644
index 0000000000..b7b86ac808
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query5.out
@@ -0,0 +1,80 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_5 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk,sr_returned_date_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.store_sk = store.s_store_sk)) otherCondition=() build RFs:RF0 s_store_sk->[ss_store_sk,sr_store_sk]
+----------------------------------PhysicalUnion
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_returns]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk,cr_returned_date_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.page_sk = catalog_page.cp_catalog_page_sk)) otherCondition=() build RFs:RF2 cp_catalog_page_sk->[cs_catalog_page_sk,cr_catalog_page_sk]
+----------------------------------PhysicalUnion
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_returns]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_page]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[ws_sold_date_sk,wr_returned_date_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.wsr_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF6 web_site_sk->[ws_web_site_sk,ws_web_site_sk]
+----------------------------------PhysicalUnion
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF6 RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_item_sk = web_sales.ws_item_sk) and (web_returns.wr_order_number = web_sales.ws_order_number)) otherCondition=() build RFs:RF4 wr_item_sk->[ws_item_sk];RF5 wr_order_number->[ws_order_number]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_returns]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[web_site]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query50.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query50.out
new file mode 100644
index 0000000000..a41a717054
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query50.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_50 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[sr_returned_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF4 s_store_sk->[ss_store_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF0 sr_customer_sk->[ss_customer_sk];RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3 RF4
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_returns] apply RFs: RF5
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((d2.d_moy = 8) and (d2.d_year = 2001))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query51.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query51.out
new file mode 100644
index 0000000000..ecf279836c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query51.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_51 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((web_cumulative > store_cumulative))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[FULL_OUTER_JOIN] hashCondition=((web.d_date = store.d_date) and (web.item_sk = store.item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_month_seq <= 1227) and (date_dim.d_month_seq >= 1216))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_month_seq <= 1227) and (date_dim.d_month_seq >= 1216))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query52.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query52.out
new file mode 100644
index 0000000000..5dda178baf
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query52.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_52 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_manager_id = 1))
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((dt.d_moy = 12) and (dt.d_year = 2002))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query53.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query53.out
new file mode 100644
index 0000000000..61c0744bf6
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query53.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_53 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((if((avg_quarterly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_quarterly_sales as DOUBLE))) / cast(avg_quarterly_sales as DOUBLE)), NULL) > 0.1))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_month_seq IN (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((((i_category IN ('Books', 'Children', 'Electronics') AND i_class IN ('personal', 'portable', 'reference', 'self-help')) AND i_brand IN ('exportiunivamalg #9', 'scholaramalgamalg #14', 'scholaramalgamalg #7', 'scholaramalgamalg #9')) OR ((i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')) AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))))
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query54.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query54.out
new file mode 100644
index 0000000000..b1c4a7a06a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query54.out
@@ -0,0 +1,82 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_54 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_county = store.s_county) and (customer_address.ca_state = store.s_state)) otherCondition=() build RFs:RF5 s_county->[ca_county];RF6 s_state->[ca_state]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((my_customers.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((my_customers.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF4
+----------------------------------------PhysicalProject
+------------------------------------------hashAgg[LOCAL]
+--------------------------------------------PhysicalProject
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = cs_or_ws_sales.customer_sk)) otherCondition=()
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs_or_ws_sales.item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[cs_item_sk,ws_item_sk]
+------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs_or_ws_sales.sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk,ws_sold_date_sk]
+--------------------------------------------------------PhysicalUnion
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[web_sales]
+--------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+--------------------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------PhysicalProject
+----------------------------------------------------------filter((item.i_category = 'Women') and (item.i_class = 'maternity'))
+------------------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_address] apply RFs: RF5 RF6
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------NestedLoopJoin[INNER_JOIN](cast(d_month_seq as BIGINT) >= (d_month_seq + 1))
+------------------------------------NestedLoopJoin[INNER_JOIN](cast(d_month_seq as BIGINT) <= (d_month_seq + 3))
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashAgg[GLOBAL]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashAgg[LOCAL]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalAssertNumRows
+----------------------------------------PhysicalDistribute
+------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashAgg[LOCAL]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query55.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query55.out
new file mode 100644
index 0000000000..1ff1ee9212
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query55.out
@@ -0,0 +1,26 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_55 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 100))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query56.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query56.out
new file mode 100644
index 0000000000..ad260bbdb1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query56.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_56 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF0 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF4 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF8 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query57.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query57.out
new file mode 100644
index 0000000000..0abc61f03d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query57.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_57 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------PhysicalWindow
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((call_center.cc_call_center_sk = catalog_sales.cs_call_center_sk)) otherCondition=() build RFs:RF2 cc_call_center_sk->[cs_call_center_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_year = 1999) OR ((date_dim.d_year = 1998) AND (date_dim.d_moy = 12))) OR ((date_dim.d_year = 2000) AND (date_dim.d_moy = 1))))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[call_center]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((v1.cc_name = v1_lead.cc_name) and (v1.i_brand = v1_lead.i_brand) and (v1.i_category = v1_lead.i_category) and (v1.rn = expr_(rn - 1))) otherCondition=()
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((v1.cc_name = v1_lag.cc_name) and (v1.i_brand = v1_lag.i_brand) and (v1.i_category = v1_lag.i_category) and (v1.rn = expr_(rn + 1))) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1) and (v2.avg_monthly_sales > 0.0000) and (v2.d_year = 1999))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query58.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query58.out
new file mode 100644
index 0000000000..3302aa4d93
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query58.out
@@ -0,0 +1,110 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_58 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ss_items.item_id = ws_items.item_id)) otherCondition=((cast(cs_item_rev as DOUBLE) <= cast((1.1 * ws_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) >= cast((0.9 * ws_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) <= cast((1.1 * ws_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) >= cast((0.9 * ws_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) <= cast((1.1 * cs_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) <= cast((1.1 * ss_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) >= cast((0.9 * cs_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) >= cast((0.9 * ss_item_rev) as DOUBLE))) build RFs:RF13 item_id->[i_item_id]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((ss_items.item_id = cs_items.item_id)) otherCondition=((cast(cs_item_rev as DOUBLE) <= cast((1.1 * ss_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) >= cast((0.9 * ss_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) <= cast((1.1 * cs_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) >= cast((0.9 * cs_item_rev) as DOUBLE))) build RFs:RF12 item_id->[i_item_id]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[ss_item_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF10 RF11
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[item] apply RFs: RF12 RF13
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF9 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF9
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF8 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF8
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalAssertNumRows
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF6 i_item_sk->[cs_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF6 RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF5 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalAssertNumRows
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ws_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF1 d_date->[d_date]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query59.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query59.out
new file mode 100644
index 0000000000..ebc8191498
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query59.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_59 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------PhysicalProject
+----------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((d.d_week_seq = d_week_seq1)) otherCondition=() build RFs:RF5 d_week_seq->[d_week_seq]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((wss.ss_store_sk = store.s_store_sk) and (y.s_store_id1 = x.s_store_id2)) otherCondition=() build RFs:RF3 s_store_id1->[s_store_id];RF4 s_store_sk->[ss_store_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((wss.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((d.d_week_seq = d_week_seq2)) otherCondition=() build RFs:RF1 d_week_seq->[d_week_seq]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((expr_cast(d_week_seq1 as BIGINT) = expr_(d_week_seq2 - 52))) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d.d_month_seq <= 1219) and (d.d_month_seq >= 1208))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store] apply RFs: RF3
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((d.d_month_seq <= 1207) and (d.d_month_seq >= 1196))
+----------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query6.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query6.out
new file mode 100644
index 0000000000..94611a44f9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query6.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_6 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((cnt >= 10))
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((d.d_month_seq = date_dim.d_month_seq)) otherCondition=() build RFs:RF5 d_month_seq->[d_month_seq]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((j.i_category = i.i_category)) otherCondition=((cast(i_current_price as DECIMALV3(38, 5)) > (1.2 * avg(cast(i_current_price as DECIMALV3(9, 4)))))) build RFs:RF4 i_category->[i_category]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((s.ss_sold_date_sk = d.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((s.ss_item_sk = i.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_customer_sk = s.ss_customer_sk)) otherCondition=() build RFs:RF1 c_customer_sk->[ss_customer_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((a.ca_address_sk = c.c_current_addr_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF0
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[customer_address]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+--------------------------PhysicalDistribute
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalAssertNumRows
+--------------------------PhysicalDistribute
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_moy = 3) and (date_dim.d_year = 2002))
+--------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query60.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query60.out
new file mode 100644
index 0000000000..c7599f8a05
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query60.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_60 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF0 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF4 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF8 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query61.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query61.out
new file mode 100644
index 0000000000..ac8c54fe74
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query61.out
@@ -0,0 +1,87 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_61 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalTopN[LOCAL_SORT]
+--------NestedLoopJoin[CROSS_JOIN]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[ss_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF9 ca_address_sk->[c_current_addr_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF8 c_customer_sk->[ss_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF6 s_store_sk->[ss_store_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF5 p_promo_sk->[ss_promo_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF5 RF6 RF7 RF8 RF10
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((((promotion.p_channel_dmail = 'Y') OR (promotion.p_channel_email = 'Y')) OR (promotion.p_channel_tv = 'Y')))
+--------------------------------------------------PhysicalOlapScan[promotion]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((store.s_gmt_offset = -7.00))
+------------------------------------------------PhysicalOlapScan[store]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 1999))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer] apply RFs: RF9
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+--------------------------------PhysicalOlapScan[customer_address]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_category = 'Jewelry'))
+--------------------------PhysicalOlapScan[item]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ss_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF4
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 1999))
+------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((store.s_gmt_offset = -7.00))
+----------------------------------------------PhysicalOlapScan[store]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer] apply RFs: RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------PhysicalOlapScan[customer_address]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_category = 'Jewelry'))
+----------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query62.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query62.out
new file mode 100644
index 0000000000..b2e92f957b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query62.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_62 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF3 w_warehouse_sk->[ws_warehouse_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF2 sm_ship_mode_sk->[ws_ship_mode_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_ship_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF0 web_site_sk->[ws_web_site_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2 RF3
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_site]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_month_seq <= 1205) and (date_dim.d_month_seq >= 1194))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[ship_mode]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query63.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query63.out
new file mode 100644
index 0000000000..0f5d94b756
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query63.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_63 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_month_seq IN (1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((((i_category IN ('Books', 'Children', 'Electronics') AND i_class IN ('personal', 'portable', 'reference', 'self-help')) AND i_brand IN ('exportiunivamalg #9', 'scholaramalgamalg #14', 'scholaramalgamalg #7', 'scholaramalgamalg #9')) OR ((i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')) AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))))
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query64.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query64.out
new file mode 100644
index 0000000000..0cfb762f3d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query64.out
@@ -0,0 +1,125 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_64 --
+PhysicalCteAnchor ( cteId=CTEId#1 )
+--PhysicalCteProducer ( cteId=CTEId#1 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF19 d_date_sk->[ss_sold_date_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((hd2.hd_income_band_sk = ib2.ib_income_band_sk)) otherCondition=() build RFs:RF18 ib_income_band_sk->[hd_income_band_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((hd1.hd_income_band_sk = ib1.ib_income_band_sk)) otherCondition=() build RFs:RF17 ib_income_band_sk->[hd_income_band_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = hd1.hd_demo_sk)) otherCondition=() build RFs:RF16 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = ad1.ca_address_sk)) otherCondition=() build RFs:RF15 ca_address_sk->[ss_addr_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = cs_ui.cs_item_sk)) otherCondition=() build RFs:RF14 cs_item_sk->[ss_item_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_hdemo_sk = hd2.hd_demo_sk)) otherCondition=() build RFs:RF13 hd_demo_sk->[c_current_hdemo_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF12 s_store_sk->[ss_store_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF10 sr_item_sk->[ss_item_sk];RF11 sr_ticket_number->[ss_ticket_number]
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF9 i_item_sk->[ss_item_sk]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF8 p_promo_sk->[ss_promo_sk]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_first_shipto_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[c_first_shipto_date_sk]
+--------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_first_sales_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[c_first_sales_date_sk]
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = ad2.ca_address_sk)) otherCondition=() build RFs:RF5 ca_address_sk->[c_current_addr_sk]
+----------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = cd1.cd_demo_sk)) otherCondition=(( not (cd_marital_status = cd_marital_status))) build RFs:RF4 cd_demo_sk->[ss_cdemo_sk]
+----------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ss_customer_sk]
+----------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF3 RF4 RF8 RF9 RF10 RF11 RF12 RF14 RF15 RF16 RF19
+----------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_cdemo_sk = cd2.cd_demo_sk)) otherCondition=() build RFs:RF2 cd_demo_sk->[c_current_cdemo_sk]
+----------------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF2 RF5 RF6 RF7 RF13
+----------------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------PhysicalOlapScan[customer_address]
+------------------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[promotion]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------filter((item.i_current_price <= 33.00) and (item.i_current_price >= 24.00) and i_color IN ('blanched', 'brown', 'burlywood', 'chocolate', 'drab', 'medium'))
+----------------------------------------------------------PhysicalOlapScan[item]
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[store_returns]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------PhysicalOlapScan[store]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[household_demographics] apply RFs: RF18
+--------------------------------------PhysicalProject
+----------------------------------------filter((sale > (2 * refund)))
+------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashAgg[LOCAL]
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=() build RFs:RF0 cr_order_number->[cs_order_number];RF1 cr_item_sk->[cs_item_sk]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_returns]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[household_demographics] apply RFs: RF17
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[income_band]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[income_band]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(d_year IN (2001, 2002))
+----------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((cs1.item_sk = cs2.item_sk) and (cs1.store_name = cs2.store_name) and (cs1.store_zip = cs2.store_zip)) otherCondition=((cs2.cnt <= cs1.cnt))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((cs1.syear = 2001))
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((cs2.syear = 2002))
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query65.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query65.out
new file mode 100644
index 0000000000..d5424c2326
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query65.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_65 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = sc.ss_store_sk)) otherCondition=() build RFs:RF4 s_store_sk->[ss_store_sk]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = sc.ss_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------PhysicalDistribute
+------------------hashJoin[INNER_JOIN] hashCondition=((sb.ss_store_sk = sc.ss_store_sk)) otherCondition=((cast(revenue as DOUBLE) <= cast((0.1 * ave) as DOUBLE))) build RFs:RF2 ss_store_sk->[ss_store_sk]
+--------------------PhysicalDistribute
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3 RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1232) and (date_dim.d_month_seq >= 1221))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_month_seq <= 1232) and (date_dim.d_month_seq >= 1221))
+--------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[item]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query66.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query66.out
new file mode 100644
index 0000000000..aea434541b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query66.out
@@ -0,0 +1,67 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_66 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF3 sm_ship_mode_sk->[ws_ship_mode_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF2 w_warehouse_sk->[ws_warehouse_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF1 t_time_sk->[ws_sold_time_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2 RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((cast(t_time as BIGINT) <= 77621) and (time_dim.t_time >= 48821))
+------------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[warehouse]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(sm_carrier IN ('GREAT EASTERN', 'LATVIAN'))
+----------------------------------PhysicalOlapScan[ship_mode]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF7 sm_ship_mode_sk->[cs_ship_mode_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF6 t_time_sk->[cs_sold_time_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF5 w_warehouse_sk->[cs_warehouse_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cs_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5 RF6 RF7
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[warehouse]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((cast(t_time as BIGINT) <= 77621) and (time_dim.t_time >= 48821))
+--------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(sm_carrier IN ('GREAT EASTERN', 'LATVIAN'))
+----------------------------------PhysicalOlapScan[ship_mode]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query67.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query67.out
new file mode 100644
index 0000000000..9e1706fc7d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query67.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_67 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------filter((rk <= 100))
+----------PhysicalWindow
+------------PhysicalPartitionTopN
+--------------PhysicalDistribute
+----------------PhysicalPartitionTopN
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_month_seq <= 1217) and (date_dim.d_month_seq >= 1206))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query68.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query68.out
new file mode 100644
index 0000000000..6e468ca21d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query68.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_68 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = current_addr.ca_address_sk)) otherCondition=(( not (ca_city = bought_city))) build RFs:RF5 ca_address_sk->[c_current_addr_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ss_customer_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[ss_addr_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3 RF4
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_dom <= 2) and (date_dim.d_dom >= 1) and d_year IN (1998, 1999, 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(((household_demographics.hd_dep_count = 8) OR (household_demographics.hd_vehicle_count = -1)))
+------------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(s_city IN ('Five Points', 'Pleasant Hill'))
+----------------------------------------PhysicalOlapScan[store]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer] apply RFs: RF5
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query69.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query69.out
new file mode 100644
index 0000000000..7ac010cf4b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query69.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_69 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=() build RFs:RF7 c_customer_sk->[cs_ship_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF6 RF7
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=() build RFs:RF5 cd_demo_sk->[c_current_cdemo_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ws_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF3 RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ss_customer_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer] apply RFs: RF0 RF5
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter(ca_state IN ('MI', 'TX', 'VA'))
+--------------------------------------------PhysicalOlapScan[customer_address]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query7.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query7.out
new file mode 100644
index 0000000000..c76f6c3419
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query7.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_7 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF3 p_promo_sk->[ss_promo_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((customer_demographics.cd_education_status = 'College') and (customer_demographics.cd_gender = 'F') and (customer_demographics.cd_marital_status = 'W'))
+----------------------------------PhysicalOlapScan[customer_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2001))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((promotion.p_channel_email = 'N') OR (promotion.p_channel_event = 'N')))
+------------------------PhysicalOlapScan[promotion]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query70.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query70.out
new file mode 100644
index 0000000000..d83858e88e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query70.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_70 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_month_seq <= 1224) and (d1.d_month_seq >= 1213))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((store.s_state = tmp1.s_state)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((ranking <= 5))
+------------------------------------------PhysicalWindow
+--------------------------------------------PhysicalPartitionTopN
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalPartitionTopN
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+--------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------filter((date_dim.d_month_seq <= 1224) and (date_dim.d_month_seq >= 1213))
+----------------------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[store]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query71.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query71.out
new file mode 100644
index 0000000000..7876464659
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query71.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_71 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((tmp.sold_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ws_item_sk,cs_item_sk,ss_item_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((tmp.time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF3 t_time_sk->[ws_sold_time_sk,cs_sold_time_sk,ss_sold_time_sk]
+----------------------PhysicalUnion
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF3 RF4
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(t_meal_time IN ('breakfast', 'dinner'))
+----------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 1))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query72.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query72.out
new file mode 100644
index 0000000000..361a5eeece
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query72.out
@@ -0,0 +1,62 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_72 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((warehouse.w_warehouse_sk = inventory.inv_warehouse_sk)) otherCondition=() build RFs:RF8 w_warehouse_sk->[inv_warehouse_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF7 hd_demo_sk->[cs_bill_hdemo_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_date_sk = d3.d_date_sk)) otherCondition=((d3.d_date > cast((cast(d_date as BIGINT) + 5) as DATEV2))) build RFs:RF6 d_date_sk->[cs_ship_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d1.d_date_sk) and (d1.d_week_seq = d2.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq];RF5 d_date_sk->[cs_sold_date_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[inv_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF2 cd_demo_sk->[cs_bill_cdemo_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[cs_item_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = inventory.inv_item_sk)) otherCondition=((inventory.inv_quantity_on_hand < catalog_sales.cs_quantity)) build RFs:RF0 cs_item_sk->[inv_item_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF3 RF8
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_returns.cr_item_sk = catalog_sales.cs_item_sk) and (catalog_returns.cr_order_number = catalog_sales.cs_order_number)) otherCondition=()
+--------------------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=()
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1 RF2 RF5 RF6 RF7
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------PhysicalOlapScan[promotion]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[catalog_returns]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((customer_demographics.cd_marital_status = 'W'))
+------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((d1.d_year = 2002))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((household_demographics.hd_buy_potential = '501-1000'))
+----------------------------PhysicalOlapScan[household_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query73.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query73.out
new file mode 100644
index 0000000000..d91f75f79b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query73.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_73 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dj.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 ss_customer_sk->[c_customer_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer] apply RFs: RF3
+------------PhysicalDistribute
+--------------filter((dj.cnt <= 5) and (dj.cnt >= 1))
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_dom <= 2) and (date_dim.d_dom >= 1) and d_year IN (2000, 2001, 2002))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((household_demographics.hd_vehicle_count > 0) and (if((hd_vehicle_count > 0), (cast(hd_dep_count as DOUBLE) / cast(hd_vehicle_count as DOUBLE)), NULL) > 1) and hd_buy_potential IN ('501-1000', 'Unknown'))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(s_county IN ('Barrow County', 'Daviess County', 'Fairfield County', 'Walker County'))
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query74.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query74.out
new file mode 100644
index 0000000000..fa3e7df19d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query74.out
@@ -0,0 +1,67 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_74 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[ss_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000))
+------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0), (year_total / year_total), NULL) > if((year_total > 0), (year_total / year_total), NULL)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_firstyear.sale_type = 's') and (t_s_firstyear.year = 1999) and (t_s_firstyear.year_total > 0))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_secyear.sale_type = 's') and (t_s_secyear.year = 2000))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year = 1999) and (t_w_firstyear.year_total > 0))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.sale_type = 'w') and (t_w_secyear.year = 2000))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query75.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query75.out
new file mode 100644
index 0000000000..ae93314a82
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query75.out
@@ -0,0 +1,80 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_75 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalUnion
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_category = 'Home'))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_returns]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1998, 1999))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((item.i_category = 'Home'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_returns]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(d_year IN (1998, 1999))
+------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ws_sold_date_sk]
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_category = 'Home'))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_returns]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1998, 1999))
+----------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((curr_yr.i_brand_id = prev_yr.i_brand_id) and (curr_yr.i_category_id = prev_yr.i_category_id) and (curr_yr.i_class_id = prev_yr.i_class_id) and (curr_yr.i_manufact_id = prev_yr.i_manufact_id)) otherCondition=(((cast(cast(sales_cnt as DECIMALV3(17, 2)) as DECIMALV3(23, 8)) / cast(sales_cnt as DECIMALV3(17, 2))) < 0.900000))
+--------------PhysicalDistribute
+----------------filter((curr_yr.d_year = 1999))
+------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------filter((prev_yr.d_year = 1998))
+------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query76.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query76.out
new file mode 100644
index 0000000000..3271199f08
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query76.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_76 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(ss_hdemo_sk IS NULL)
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ws_item_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(ws_bill_addr_sk IS NULL)
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[cs_item_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(cs_warehouse_sk IS NULL)
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query77.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query77.out
new file mode 100644
index 0000000000..2960a67a82
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query77.out
@@ -0,0 +1,115 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_77 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ss.s_store_sk = sr.s_store_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[sr_store_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0 RF1
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+--------------------PhysicalProject
+----------------------NestedLoopJoin[CROSS_JOIN]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+------------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cr_returned_date_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ws.wp_web_page_sk = wr.wp_web_page_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF9 wp_web_page_sk->[ws_web_page_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_page]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF7 wp_web_page_sk->[wr_web_page_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[wr_returned_date_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_page]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query78.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query78.out
new file mode 100644
index 0000000000..8c08a41397
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query78.out
@@ -0,0 +1,56 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_78 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter(((coalesce(ws_qty, 0) > 0) OR (coalesce(cs_qty, 0) > 0)))
+------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ws.ws_customer_sk = ss.ss_customer_sk) and (ws.ws_item_sk = ss.ss_item_sk) and (ws.ws_sold_year = ss.ss_sold_year)) otherCondition=()
+--------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((cs.cs_customer_sk = ss.ss_customer_sk) and (cs.cs_item_sk = ss.ss_item_sk) and (cs.cs_sold_year = ss.ss_sold_year)) otherCondition=()
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((store_returns.sr_ticket_number = store_sales.ss_ticket_number) and (store_sales.ss_item_sk = store_returns.sr_item_sk)) otherCondition=()
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_returns]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((catalog_returns.cr_order_number = catalog_sales.cs_order_number) and (catalog_sales.cs_item_sk = catalog_returns.cr_item_sk)) otherCondition=()
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_returns]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((web_returns.wr_order_number = web_sales.ws_order_number) and (web_sales.ws_item_sk = web_returns.wr_item_sk)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 2000))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_returns]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query79.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query79.out
new file mode 100644
index 0000000000..c03fe95df9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query79.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_79 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((ms.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ss_customer_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_dow = 1) and d_year IN (1998, 1999, 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((household_demographics.hd_dep_count = 5) OR (household_demographics.hd_vehicle_count > 4)))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((store.s_number_employees <= 295) and (store.s_number_employees >= 200))
+--------------------------------PhysicalOlapScan[store]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query8.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query8.out
new file mode 100644
index 0000000000..d3da9091cd
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query8.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_8 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((expr_substring(s_zip, 1, 2) = expr_substring(ca_zip, 1, 2))) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_qoy = 2) and (date_dim.d_year = 1998))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalIntersect
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(substring(ca_zip, 1, 5) IN ('10298', '10374', '10425', '11340', '11489', '11618', '11652', '11686', '11855', '11912', '12197', '12318', '12320', '12350', '13086', '13123', '13261', '13338', '13376', '13378', '13443', '13844', '13869', '13918', '14073', '14155', '14196', '14242', '14312', '14440', '14530', '14851', '15371', '15475', '15543', '15734', '15751', '15782', '15794', '16005', '16226', '16364', '16515', '16704', '16791', '16891', '17167', '17193', '17291', '17672', '17819', '17879', '17895', '18218', '18360', '18367', '18410', '18421', '18434', '18569', '18700', '18767', '18829', '18884', '19326', '19444', '19489', '19753', '19833', '19988', '20244', '20317', '20534', '20601', '20712', '21060', '21094', '21204', '21231', '21343', '21727', '21800', '21814', '22728', '22815', '22911', '23065', '23952', '24227', '24255', '24286', '24594', '24660', '24891', '24987', '25115', '25178', '25214', '25264', '25333', '25494', '25717', '25973', '26217', '26689', '27052', '27116', '27156', '27287', '27369', '27385', '27413', '27642', '27700', '28055', '28239', '28571', '28577', '28810', '29086', '29392', '29450', '29752', '29818', '30106', '30415', '30621', '31013', '31016', '31655', '31830', '32489', '32669', '32754', '32919', '32958', '32961', '33113', '33122', '33159', '33467', '33562', '33773', '33869', '34306', '34473', '34594', '34948', '34972', '35076', '35390', '35834', '35863', '35926', '36201', '36335', '36430', '36479', '37119', '37788', '37914', '38353', '38607', '38919', '39214', '39459', '39500', '39503', '40146', '40936', '40979', '41162', '41232', '41255', '41331', '41351', '41352', '41419', '41807', '41836', '41967', '42361', '43432', '43639', '43830', '43933', '44529', '45266', '45484', '45533', '45645', '45676', '45859', '46081', '46131', '46507', '47289', '47369', '47529', '47602', '47770', '48017', '48162', '48333', '48530', '48567', '49101', '49130', '49140', '49211', '49230', '49254', '49472', '50412', '50632', '50636', '50679', '50788', '51089', '51184', '51195', '51634', '51717', '51766', '51782', '51793', '51933', '52094', '52301', '52389', '52868', '53163', '53535', '53565', '54010', '54207', '54364', '54558', '54585', '55233', '55349', '56224', '56355', '56436', '56455', '56600', '56877', '57025', '57553', '57631', '57649', '57839', '58032', '58058', '58062', '58117', '58218', '58412', '58454', '58581', '59004', '59080', '59130', '59226', '59345', '59386', '59494', '59852', '60083', '60298', '60560', '60624', '60736', '61527', '61794', '61860', '61997', '62361', '62585', '62878', '63073', '63180', '63193', '63294', '63792', '63991', '64592', '65148', '65177', '65501', '66057', '66943', '67881', '67975', '67998', '68101', '68293', '68341', '68605', '68730', '68770', '68843', '68852', '68908', '69280', '69952', '69998', '70041', '70070', '70073', '70450', '71144', '71256', '71286', '71836', '71948', '71954', '71997', '72592', '72991', '73021', '73108', '73134', '73146', '73219', '73873', '74686', '75660', '75675', '75742', '75752', '77454', '77817', '78093', '78366', '79077', '79658', '80332', '80846', '81003', '81070', '81084', '81335', '81504', '81755', '81963', '82080', '82602', '82620', '83041', '83086', '83583', '83647', '83833', '83910', '83986', '84247', '84680', '84844', '84919', '85066', '85761', '86057', '86379', '86709', '88086', '88137', '88217', '89193', '89338', '90209', '90229', '90669', '91110', '91894', '92292', '92380', '92645', '92696', '93498', '94791', '94835', '94898', '95042', '95430', '95464', '95694', '96435', '96560', '97173', '97462', '98069', '98072', '98338', '98533', '98569', '98584', '98862', '99060', '99132'))
+------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((cnt > 10))
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF0 c_current_addr_sk->[ca_address_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer_address] apply RFs: RF0
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((customer.c_preferred_cust_flag = 'Y'))
+----------------------------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query80.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query80.out
new file mode 100644
index 0000000000..0ee9f670c5
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query80.out
@@ -0,0 +1,107 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_80 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF3 p_promo_sk->[ss_promo_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_returns]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((item.i_current_price > 50.00))
+--------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((promotion.p_channel_tv = 'N'))
+--------------------------------------PhysicalOlapScan[promotion]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF7 p_promo_sk->[cs_promo_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=()
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF5 i_item_sk->[cs_item_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_catalog_page_sk = catalog_page.cp_catalog_page_sk)) otherCondition=() build RFs:RF4 cp_catalog_page_sk->[cs_catalog_page_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5 RF6 RF7
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_page]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((item.i_current_price > 50.00))
+------------------------------------------------PhysicalOlapScan[item]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_returns]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((promotion.p_channel_tv = 'N'))
+--------------------------------------PhysicalOlapScan[promotion]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF11 p_promo_sk->[ws_promo_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF10 web_site_sk->[ws_web_site_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF9 i_item_sk->[ws_item_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=()
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9 RF10 RF11
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_returns]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((item.i_current_price > 50.00))
+--------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_site]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((promotion.p_channel_tv = 'N'))
+--------------------------------------PhysicalOlapScan[promotion]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query81.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query81.out
new file mode 100644
index 0000000000..4a0a6d968b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query81.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_81 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returning_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF1 ca_address_sk->[cr_returning_addr_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cr_returned_date_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2002))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ctr_customer_sk]
+--------------------PhysicalDistribute
+----------------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_state = ctr2.ctr_state)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+------------------------PhysicalDistribute
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------------hashAgg[GLOBAL]
+--------------------------PhysicalDistribute
+----------------------------hashAgg[LOCAL]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[customer] apply RFs: RF3
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((customer_address.ca_state = 'CA'))
+--------------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query82.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query82.out
new file mode 100644
index 0000000000..a9891820a3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query82.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_82 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[inv_item_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = inventory.inv_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+--------------------------PhysicalProject
+----------------------------filter((inventory.inv_quantity_on_hand <= 500) and (inventory.inv_quantity_on_hand >= 100))
+------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1999-09-07') and (date_dim.d_date >= '1999-07-09'))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_current_price <= 47.00) and (item.i_current_price >= 17.00) and i_manufact_id IN (138, 169, 339, 639))
+------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query83.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query83.out
new file mode 100644
index 0000000000..affba2b03f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query83.out
@@ -0,0 +1,105 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_83 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((sr_items.item_id = wr_items.item_id)) otherCondition=() build RFs:RF13 item_id->[i_item_id]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((sr_items.item_id = cr_items.item_id)) otherCondition=() build RFs:RF12 item_id->[i_item_id]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[sr_returned_date_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[sr_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF10 RF11
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item] apply RFs: RF12 RF13
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF9 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF9
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF8 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF8
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cr_returned_date_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF6 i_item_sk->[cr_item_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF6 RF7
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF5 d_date->[d_date]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[wr_returned_date_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[wr_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF1 d_date->[d_date]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query84.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query84.out
new file mode 100644
index 0000000000..25f0d174cc
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query84.out
@@ -0,0 +1,40 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_84 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF4 cd_demo_sk->[sr_cdemo_sk]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[store_returns] apply RFs: RF4
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((income_band.ib_income_band_sk = household_demographics.hd_income_band_sk)) otherCondition=() build RFs:RF3 ib_income_band_sk->[hd_income_band_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((household_demographics.hd_demo_sk = customer.c_current_hdemo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[c_current_hdemo_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk)) otherCondition=() build RFs:RF1 cd_demo_sk->[c_current_cdemo_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer] apply RFs: RF0 RF1 RF2
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_city = 'Oakwood'))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[household_demographics] apply RFs: RF3
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((cast(ib_upper_bound as BIGINT) <= 55806) and (income_band.ib_lower_bound >= 5806))
+------------------------PhysicalOlapScan[income_band]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query85.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query85.out
new file mode 100644
index 0000000000..1665b75cb3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query85.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_85 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((reason.r_reason_sk = web_returns.wr_reason_sk)) otherCondition=() build RFs:RF9 r_reason_sk->[wr_reason_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = web_returns.wr_refunded_addr_sk)) otherCondition=((((ca_state IN ('DE', 'FL', 'TX') AND ((web_sales.ws_net_profit >= 100.00) AND (web_sales.ws_net_profit <= 200.00))) OR (ca_state IN ('ID', 'IN', 'ND') AND ((web_sales.ws_net_profit >= 150.00) AND (web_sales.ws_net_profit <= 300.00)))) OR (ca_state IN ('IL', 'MT', 'OH') AND ((web_sales.ws_net_profit >= 50.00) AND (web_sales.ws_net_profit <= 250.00))))) build RFs:RF7 ca_address_sk->[wr_refunded_addr_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((cd1.cd_education_status = cd2.cd_education_status) and (cd1.cd_marital_status = cd2.cd_marital_status) and (cd2.cd_demo_sk = web_returns.wr_returning_cdemo_sk)) otherCondition=() build RFs:RF4 cd_marital_status->[cd_marital_status];RF5 cd_education_status->[cd_education_status];RF6 cd_demo_sk->[wr_returning_cdemo_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((cd1.cd_demo_sk = web_returns.wr_refunded_cdemo_sk)) otherCondition=((((((cd1.cd_marital_status = 'M') AND (cd1.cd_education_status = '4 yr Degree')) AND ((web_sales.ws_sales_price >= 100.00) AND (web_sales.ws_sales_price <= 150.00))) OR (((cd1.cd_marital_status = 'S') AND (cd1.cd_education_status = 'Secondary')) AND ((web_sales.ws_sales_price >= 50.00) AND (web_sales.ws_sales_price <= 100.00)))) OR (((cd1.cd_marital_status = 'W') AND (cd1.cd_education_status = 'Advanced Degree')) AND ((web_sales.ws_sales_price >= 150.00) AND (web_sales.ws_sales_price <= 200.00))))) build RFs:RF3 cd_demo_sk->[wr_refunded_cdemo_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF2 wp_web_page_sk->[ws_web_page_sk]
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF0 wr_item_sk->[ws_item_sk];RF1 wr_order_number->[ws_order_number]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter(((((web_sales.ws_net_profit >= 100.00) AND (web_sales.ws_net_profit <= 200.00)) OR ((web_sales.ws_net_profit >= 150.00) AND (web_sales.ws_net_profit <= 300.00))) OR ((web_sales.ws_net_profit >= 50.00) AND (web_sales.ws_net_profit <= 250.00))) and ((((web_sales.ws_sales_price >= 100.00) AND (web_sales.ws_sales_price <= 150.00)) OR ((web_sales.ws_sales_price >= 50.00) AND (web_sales.ws_sales_price <= 100.00))) OR ((web_sales.ws_sales_price >= 150.00) AND (web_sales.ws_sales_price <= 200.00))))
+--------------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2 RF8
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF3 RF6 RF7 RF9
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[web_page]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(((((cd1.cd_marital_status = 'M') AND (cd1.cd_education_status = '4 yr Degree')) OR ((cd1.cd_marital_status = 'S') AND (cd1.cd_education_status = 'Secondary'))) OR ((cd1.cd_marital_status = 'W') AND (cd1.cd_education_status = 'Advanced Degree'))))
+------------------------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF4 RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((ca_state IN ('DE', 'FL', 'TX') OR ca_state IN ('ID', 'IN', 'ND')) OR ca_state IN ('IL', 'MT', 'OH')) and (customer_address.ca_country = 'United States'))
+------------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_year = 2000))
+------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[reason]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query86.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query86.out
new file mode 100644
index 0000000000..66864e9bb0
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query86.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_86 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ws_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((d1.d_month_seq <= 1235) and (d1.d_month_seq >= 1224))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query87.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query87.out
new file mode 100644
index 0000000000..1c5f66c6d8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query87.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_87 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------PhysicalExcept
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF0 c_customer_sk->[ss_customer_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[customer]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------PhysicalOlapScan[date_dim]
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cs_bill_customer_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[customer]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------PhysicalOlapScan[date_dim]
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query88.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query88.out
new file mode 100644
index 0000000000..71b7c40ab2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query88.out
@@ -0,0 +1,195 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_88 --
+PhysicalResultSink
+--PhysicalProject
+----NestedLoopJoin[CROSS_JOIN]
+------NestedLoopJoin[CROSS_JOIN]
+--------NestedLoopJoin[CROSS_JOIN]
+----------NestedLoopJoin[CROSS_JOIN]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------NestedLoopJoin[CROSS_JOIN]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF23 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF22 hd_demo_sk->[ss_hdemo_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF21 t_time_sk->[ss_sold_time_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF21 RF22 RF23
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((time_dim.t_hour = 8) and (time_dim.t_minute >= 30))
+----------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((store.s_store_name = 'ese'))
+----------------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF20 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF19 hd_demo_sk->[ss_hdemo_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF18 t_time_sk->[ss_sold_time_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF18 RF19 RF20
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((time_dim.t_hour = 9) and (time_dim.t_minute < 30))
+------------------------------------------PhysicalOlapScan[time_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------------------PhysicalOlapScan[household_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((store.s_store_name = 'ese'))
+------------------------------------PhysicalOlapScan[store]
+----------------PhysicalDistribute
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF17 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF16 hd_demo_sk->[ss_hdemo_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF15 t_time_sk->[ss_sold_time_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF15 RF16 RF17
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((time_dim.t_hour = 9) and (time_dim.t_minute >= 30))
+----------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((store.s_store_name = 'ese'))
+----------------------------------PhysicalOlapScan[store]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF14 s_store_sk->[ss_store_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF13 hd_demo_sk->[ss_hdemo_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF12 t_time_sk->[ss_sold_time_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF12 RF13 RF14
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((time_dim.t_hour = 10) and (time_dim.t_minute < 30))
+--------------------------------------PhysicalOlapScan[time_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((store.s_store_name = 'ese'))
+--------------------------------PhysicalOlapScan[store]
+------------PhysicalDistribute
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF11 s_store_sk->[ss_store_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF10 hd_demo_sk->[ss_hdemo_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF9 t_time_sk->[ss_sold_time_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF9 RF10 RF11
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((time_dim.t_hour = 10) and (time_dim.t_minute >= 30))
+------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------------PhysicalOlapScan[household_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((store.s_store_name = 'ese'))
+------------------------------PhysicalOlapScan[store]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF8 s_store_sk->[ss_store_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF7 hd_demo_sk->[ss_hdemo_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF6 t_time_sk->[ss_sold_time_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF6 RF7 RF8
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((time_dim.t_hour = 11) and (time_dim.t_minute < 30))
+----------------------------------PhysicalOlapScan[time_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------PhysicalOlapScan[household_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((store.s_store_name = 'ese'))
+----------------------------PhysicalOlapScan[store]
+--------PhysicalDistribute
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF5 s_store_sk->[ss_store_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF4 hd_demo_sk->[ss_hdemo_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF3 t_time_sk->[ss_sold_time_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF3 RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((time_dim.t_hour = 11) and (time_dim.t_minute >= 30))
+--------------------------------PhysicalOlapScan[time_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+------------------------------PhysicalOlapScan[household_demographics]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((store.s_store_name = 'ese'))
+--------------------------PhysicalOlapScan[store]
+------PhysicalDistribute
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF0 t_time_sk->[ss_sold_time_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((time_dim.t_hour = 12) and (time_dim.t_minute < 30))
+------------------------------PhysicalOlapScan[time_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------PhysicalOlapScan[household_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((store.s_store_name = 'ese'))
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query89.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query89.out
new file mode 100644
index 0000000000..67fa4df76d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query89.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_89 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------filter((if(( not (avg_monthly_sales = 0.0000)), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1))
+--------------PhysicalWindow
+----------------PhysicalQuickSort[LOCAL_SORT]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(((i_category IN ('Electronics', 'Jewelry', 'Shoes') AND i_class IN ('athletic', 'portable', 'semi-precious')) OR (i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'maternity', 'rock'))))
+----------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_year = 1999))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query9.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query9.out
new file mode 100644
index 0000000000..5b3610bc2e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query9.out
@@ -0,0 +1,145 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_9 --
+PhysicalResultSink
+--PhysicalDistribute
+----PhysicalProject
+------NestedLoopJoin[CROSS_JOIN]
+--------NestedLoopJoin[CROSS_JOIN]
+----------NestedLoopJoin[CROSS_JOIN]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------NestedLoopJoin[CROSS_JOIN]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------NestedLoopJoin[CROSS_JOIN]
+--------------------NestedLoopJoin[CROSS_JOIN]
+----------------------NestedLoopJoin[CROSS_JOIN]
+------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------NestedLoopJoin[CROSS_JOIN]
+----------------------------NestedLoopJoin[CROSS_JOIN]
+------------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------------NestedLoopJoin[CROSS_JOIN]
+----------------------------------PhysicalProject
+------------------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------------------PhysicalProject
+----------------------------------------filter((reason.r_reason_sk = 1))
+------------------------------------------PhysicalOlapScan[reason]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashAgg[LOCAL]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+----------------------------------------------------PhysicalOlapScan[store_sales]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalAssertNumRows
+--------------------------------------hashAgg[GLOBAL]
+----------------------------------------PhysicalDistribute
+------------------------------------------hashAgg[LOCAL]
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalAssertNumRows
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+----------------------------------------------PhysicalOlapScan[store_sales]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalAssertNumRows
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+--------------------------------------------PhysicalOlapScan[store_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------hashAgg[GLOBAL]
+----------------------------------PhysicalDistribute
+------------------------------------hashAgg[LOCAL]
+--------------------------------------PhysicalProject
+----------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalAssertNumRows
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+----------------------------------------PhysicalOlapScan[store_sales]
+------------------------PhysicalDistribute
+--------------------------PhysicalAssertNumRows
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+--------------------------------------PhysicalOlapScan[store_sales]
+----------------------PhysicalDistribute
+------------------------PhysicalAssertNumRows
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+------------------------------------PhysicalOlapScan[store_sales]
+--------------------PhysicalDistribute
+----------------------PhysicalAssertNumRows
+------------------------hashAgg[GLOBAL]
+--------------------------PhysicalDistribute
+----------------------------hashAgg[LOCAL]
+------------------------------PhysicalProject
+--------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+----------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalAssertNumRows
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+--------------------------------PhysicalOlapScan[store_sales]
+----------------PhysicalDistribute
+------------------PhysicalAssertNumRows
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+------------------------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalAssertNumRows
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+----------------------------PhysicalOlapScan[store_sales]
+------------PhysicalDistribute
+--------------PhysicalAssertNumRows
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+--------------------------PhysicalOlapScan[store_sales]
+----------PhysicalDistribute
+------------PhysicalAssertNumRows
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+------------------------PhysicalOlapScan[store_sales]
+--------PhysicalDistribute
+----------PhysicalAssertNumRows
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+----------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query90.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query90.out
new file mode 100644
index 0000000000..fe04477a9e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query90.out
@@ -0,0 +1,57 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_90 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------PhysicalProject
+--------NestedLoopJoin[CROSS_JOIN]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF5 wp_web_page_sk->[ws_web_page_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF4 t_time_sk->[ws_sold_time_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF3 hd_demo_sk->[ws_ship_hdemo_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF3 RF4 RF5
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((household_demographics.hd_dep_count = 2))
+------------------------------------PhysicalOlapScan[household_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((time_dim.t_hour <= 11) and (time_dim.t_hour >= 10))
+------------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((web_page.wp_char_count <= 5200) and (web_page.wp_char_count >= 5000))
+--------------------------PhysicalOlapScan[web_page]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF2 wp_web_page_sk->[ws_web_page_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF1 t_time_sk->[ws_sold_time_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF0 hd_demo_sk->[ws_ship_hdemo_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((household_demographics.hd_dep_count = 2))
+--------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((time_dim.t_hour <= 17) and (time_dim.t_hour >= 16))
+--------------------------------PhysicalOlapScan[time_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((web_page.wp_char_count <= 5200) and (web_page.wp_char_count >= 5000))
+----------------------------PhysicalOlapScan[web_page]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query91.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query91.out
new file mode 100644
index 0000000000..d6876f79de
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query91.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_91 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((household_demographics.hd_demo_sk = customer.c_current_hdemo_sk)) otherCondition=() build RFs:RF5 hd_demo_sk->[c_current_hdemo_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk)) otherCondition=() build RFs:RF4 cd_demo_sk->[c_current_cdemo_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[c_current_addr_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returning_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[cr_returning_customer_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_call_center_sk = call_center.cc_call_center_sk)) otherCondition=() build RFs:RF1 cc_call_center_sk->[cr_call_center_sk]
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cr_returned_date_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF0 RF1 RF2
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2001))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[call_center]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[customer] apply RFs: RF3 RF4 RF5
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+------------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = 'Unknown')) OR ((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'Advanced Degree'))))
+------------------------------PhysicalOlapScan[customer_demographics]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((hd_buy_potential like '1001-5000%'))
+--------------------------PhysicalOlapScan[household_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query92.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query92.out
new file mode 100644
index 0000000000..76fed6f297
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query92.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_92 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------filter((cast(ws_ext_discount_amt as DECIMALV3(38, 5)) > (1.3 * avg(cast(ws_ext_discount_amt as DECIMALV3(9, 4))) OVER(PARTITION BY i_item_sk))))
+----------------PhysicalWindow
+------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_manufact_id = 320))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '2002-05-27') and (date_dim.d_date >= '2002-02-26'))
+------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query93.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query93.out
new file mode 100644
index 0000000000..66be953027
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query93.out
@@ -0,0 +1,22 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_93 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_reason_sk = reason.r_reason_sk)) otherCondition=() build RFs:RF2 r_reason_sk->[sr_reason_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_item_sk = store_sales.ss_item_sk) and (store_returns.sr_ticket_number = store_sales.ss_ticket_number)) otherCondition=() build RFs:RF0 sr_item_sk->[ss_item_sk];RF1 sr_ticket_number->[ss_ticket_number]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_returns] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((reason.r_reason_desc = 'duplicate purchase'))
+------------------------PhysicalOlapScan[reason]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query94.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query94.out
new file mode 100644
index 0000000000..9d7ceb5fcf
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query94.out
@@ -0,0 +1,39 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_94 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF3 web_site_sk->[ws_web_site_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ws_ship_addr_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((ws1.ws_order_number = wr1.wr_order_number)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_ship_date_sk]
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = ws2.ws_order_number)) otherCondition=(( not (ws_warehouse_sk = ws_warehouse_sk))) build RFs:RF0 ws_order_number->[ws_order_number]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '2000-04-01') and (date_dim.d_date >= '2000-02-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_returns]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_state = 'OK'))
+--------------------------PhysicalOlapScan[customer_address]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((web_site.web_company_name = 'pri'))
+----------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query95.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query95.out
new file mode 100644
index 0000000000..5389d92bdc
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query95.out
@@ -0,0 +1,54 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_95 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_order_number = ws2.ws_order_number)) otherCondition=(( not (ws_warehouse_sk = ws_warehouse_sk))) build RFs:RF0 ws_order_number->[ws_order_number]
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[web_sales]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF5 web_site_sk->[ws_web_site_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF4 ca_address_sk->[ws_ship_addr_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_ship_date_sk]
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = ws_wh.ws_order_number)) otherCondition=()
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF2 wr_order_number->[ws_order_number]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3 RF4 RF5
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_order_number = ws_wh.ws_order_number)) otherCondition=() build RFs:RF1 wr_order_number->[ws_order_number]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_returns]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '1999-04-02') and (date_dim.d_date >= '1999-02-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((customer_address.ca_state = 'NC'))
+----------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((web_site.web_company_name = 'pri'))
+------------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query96.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query96.out
new file mode 100644
index 0000000000..daf0b67a0e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query96.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_96 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF0 t_time_sk->[ss_sold_time_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((time_dim.t_hour = 8) and (time_dim.t_minute >= 30))
+----------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((household_demographics.hd_dep_count = 3))
+--------------------------PhysicalOlapScan[household_demographics]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((store.s_store_name = 'ese'))
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query97.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query97.out
new file mode 100644
index 0000000000..7b8832c172
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query97.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_97 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[FULL_OUTER_JOIN] hashCondition=((ssci.customer_sk = csci.customer_sk) and (ssci.item_sk = csci.item_sk)) otherCondition=()
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1225) and (date_dim.d_month_seq >= 1214))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1225) and (date_dim.d_month_seq >= 1214))
+----------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query98.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query98.out
new file mode 100644
index 0000000000..9b770419b7
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query98.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_98 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(i_category IN ('Music', 'Shoes', 'Sports'))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '2002-06-19') and (date_dim.d_date >= '2002-05-20'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query99.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query99.out
new file mode 100644
index 0000000000..aed6b97685
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/no_stats_shape/query99.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_99 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF3 w_warehouse_sk->[cs_warehouse_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF2 sm_ship_mode_sk->[cs_ship_mode_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_ship_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_call_center_sk = call_center.cc_call_center_sk)) otherCondition=() build RFs:RF0 cc_call_center_sk->[cs_call_center_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2 RF3
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[call_center]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_month_seq <= 1235) and (date_dim.d_month_seq >= 1224))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[ship_mode]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query1.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query1.out
new file mode 100644
index 0000000000..edd2c441da
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query1.out
@@ -0,0 +1,43 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_1 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------PhysicalProject
+------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((date_dim.d_year = 2000))
+----------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 ctr_customer_sk->[c_customer_sk]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[customer] apply RFs: RF2
+--------------PhysicalDistribute
+----------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_store_sk = ctr2.ctr_store_sk)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = ctr1.ctr_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ctr_store_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((store.s_state = 'SD'))
+----------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query10.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query10.out
new file mode 100644
index 0000000000..8ddb91682f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query10.out
@@ -0,0 +1,57 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_10 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(($c$1 OR $c$2))
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=()
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=() build RFs:RF3 c_current_cdemo_sk->[cd_demo_sk]
+----------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF3
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer] apply RFs: RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(ca_county IN ('Cochran County', 'Kandiyohi County', 'Marquette County', 'Storey County', 'Warren County'))
+----------------------------------------------PhysicalOlapScan[customer_address]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_moy <= 4) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query11.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query11.out
new file mode 100644
index 0000000000..8adcfa7610
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query11.out
@@ -0,0 +1,65 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_11 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (2001, 2002))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ws_bill_customer_sk]
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (2001, 2002))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0.00), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), 0) > if((year_total > 0.00), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), 0)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_s_firstyear.dyear = 2001) and (t_s_firstyear.sale_type = 's') and (t_s_firstyear.year_total > 0.00))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((t_w_firstyear.dyear = 2001) and (t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year_total > 0.00))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_s_secyear.dyear = 2002) and (t_s_secyear.sale_type = 's'))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.dyear = 2002) and (t_w_secyear.sale_type = 'w'))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query12.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query12.out
new file mode 100644
index 0000000000..e8671ca916
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query12.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_12 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ws_item_sk]
+--------------------------PhysicalDistribute
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_date <= '1998-05-06') and (date_dim.d_date >= '1998-04-06'))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(i_category IN ('Books', 'Men', 'Sports'))
+--------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query13.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query13.out
new file mode 100644
index 0000000000..237eb1dee6
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query13.out
@@ -0,0 +1,40 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_13 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF4 ss_store_sk->[s_store_sk]
+------------PhysicalProject
+--------------PhysicalOlapScan[store] apply RFs: RF4
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=(((((((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Unknown')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) AND (household_demographics.hd_dep_count = 3)) OR ((((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) AND (household_demographics.hd_dep_count = 1))) OR ((((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '4 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))) AND (household_demographics.hd_dep_count = 1)))) build RFs:RF3 ss_cdemo_sk->[cd_demo_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(((((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Unknown')) OR ((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'College'))) OR ((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '4 yr Degree'))))
+------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF3
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[ss_hdemo_sk]
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('KS', 'MI', 'SD') AND ((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00))) OR (ca_state IN ('CO', 'MO', 'ND') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00)))) OR (ca_state IN ('NH', 'OH', 'TX') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))))) build RFs:RF0 ca_address_sk->[ss_addr_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))) and ((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((ca_state IN ('KS', 'MI', 'SD') OR ca_state IN ('CO', 'MO', 'ND')) OR ca_state IN ('NH', 'OH', 'TX')) and (customer_address.ca_country = 'United States'))
+------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 2001))
+----------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((household_demographics.hd_dep_count = 3) OR (household_demographics.hd_dep_count = 1)))
+------------------------------PhysicalOlapScan[household_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query14.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query14.out
new file mode 100644
index 0000000000..cf2f36f08b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query14.out
@@ -0,0 +1,182 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_14 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashJoin[INNER_JOIN] hashCondition=((item.i_brand_id = t.brand_id) and (item.i_category_id = t.category_id) and (item.i_class_id = t.class_id)) otherCondition=() build RFs:RF6 class_id->[i_class_id];RF7 category_id->[i_category_id];RF8 brand_id->[i_brand_id]
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[item] apply RFs: RF6 RF7 RF8
+--------PhysicalIntersect
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = iss.i_item_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((d1.d_year <= 2002) and (d1.d_year >= 2000))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = ics.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[cs_item_sk]
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d2.d_year <= 2002) and (d2.d_year >= 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = iws.i_item_sk)) otherCondition=() build RFs:RF5 i_item_sk->[ws_item_sk]
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d3.d_year <= 2002) and (d3.d_year >= 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+--PhysicalCteAnchor ( cteId=CTEId#1 )
+----PhysicalCteProducer ( cteId=CTEId#1 )
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalUnion
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ss_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF9
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF10 d_date_sk->[cs_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[catalog_sales] apply RFs: RF10
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[ws_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[web_sales] apply RFs: RF11
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year <= 2002) and (date_dim.d_year >= 2000))
+--------------------------PhysicalOlapScan[date_dim]
+----PhysicalResultSink
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalRepeat
+----------------------PhysicalUnion
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((store_sales.ss_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF14 ss_item_sk->[ss_item_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF13 i_item_sk->[ss_item_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF12 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF12 RF13
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((catalog_sales.cs_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF17 cs_item_sk->[ss_item_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF16 i_item_sk->[cs_item_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF15 d_date_sk->[cs_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF15 RF16
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(sales as DOUBLE) > cast(average_sales as DOUBLE))
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((web_sales.ws_item_sk = cross_items.ss_item_sk)) otherCondition=() build RFs:RF20 ws_item_sk->[ss_item_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF19 i_item_sk->[ws_item_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF18 d_date_sk->[ws_sold_date_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF18 RF19
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2002))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query15.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query15.out
new file mode 100644
index 0000000000..d6bb6db8ee
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query15.out
@@ -0,0 +1,29 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_15 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=(((substring(ca_zip, 1, 5) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') OR ca_state IN ('CA', 'GA', 'WA')) OR (catalog_sales.cs_sales_price > 500.00)))
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_qoy = 1) and (date_dim.d_year = 2001))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[customer]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query16.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query16.out
new file mode 100644
index 0000000000..f715eb2136
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query16.out
@@ -0,0 +1,38 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_16 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[DISTINCT_GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[DISTINCT_LOCAL]
+------------hashAgg[GLOBAL]
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((cs1.cs_order_number = cs2.cs_order_number)) otherCondition=(( not (cs_warehouse_sk = cs_warehouse_sk))) build RFs:RF4 cs_order_number->[cs_order_number]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4
+--------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_call_center_sk = call_center.cc_call_center_sk)) otherCondition=() build RFs:RF3 cc_call_center_sk->[cs_call_center_sk]
+----------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((cs1.cs_order_number = cr1.cr_order_number)) otherCondition=() build RFs:RF2 cs_order_number->[cr_order_number]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF2
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_ship_date_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((cs1.cs_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[cs_ship_addr_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF3
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_address.ca_state = 'WV'))
+------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '2002-05-31') and (date_dim.d_date >= '2002-04-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(cc_county IN ('Barrow County', 'Daviess County', 'Luce County', 'Richland County', 'Ziebach County'))
+----------------------------PhysicalOlapScan[call_center]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query17.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query17.out
new file mode 100644
index 0000000000..050c26304b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query17.out
@@ -0,0 +1,49 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_17 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF8 sr_customer_sk->[cs_bill_customer_sk];RF9 sr_item_sk->[cs_item_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7 RF8 RF9
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF2 sr_customer_sk->[ss_customer_sk];RF3 sr_item_sk->[ss_item_sk];RF4 sr_ticket_number->[ss_ticket_number]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3 RF4
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_quarter_name = '2001Q1'))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query18.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query18.out
new file mode 100644
index 0000000000..ee0413e0c4
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query18.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_18 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF5 cs_item_sk->[i_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[item] apply RFs: RF5
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[cs_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = cd1.cd_demo_sk)) otherCondition=() build RFs:RF2 cd_demo_sk->[cs_bill_cdemo_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3 RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((cd1.cd_education_status = 'Advanced Degree') and (cd1.cd_gender = 'F'))
+--------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_cdemo_sk = cd2.cd_demo_sk)) otherCondition=() build RFs:RF1 c_current_cdemo_sk->[cd_demo_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF1
+--------------------------------------PhysicalDistribute
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(c_birth_month IN (1, 10, 2, 4, 7, 8))
+------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF0
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(ca_state IN ('GA', 'IN', 'ME', 'NC', 'OK', 'WA', 'WY'))
+------------------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 1998))
+----------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query19.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query19.out
new file mode 100644
index 0000000000..8ba138b518
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query19.out
@@ -0,0 +1,40 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_19 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=(( not (substring(ca_zip, 1, 5) = substring(s_zip, 1, 5))))
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 c_current_addr_sk->[ca_address_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address] apply RFs: RF3
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF2 ss_customer_sk->[c_customer_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[customer] apply RFs: RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((item.i_manager_id = 2))
+--------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query2.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query2.out
new file mode 100644
index 0000000000..8d41fe4578
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query2.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_2 --
+PhysicalCteAnchor ( cteId=CTEId#1 )
+--PhysicalCteProducer ( cteId=CTEId#1 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = wscs.sold_date_sk)) otherCondition=()
+--------------PhysicalUnion
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[web_sales]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[catalog_sales]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((expr_cast(d_week_seq1 as BIGINT) = expr_(d_week_seq2 - 53))) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = d_week_seq1)) otherCondition=() build RFs:RF2 d_week_seq->[d_week_seq]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year = 1998))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = d_week_seq2)) otherCondition=() build RFs:RF1 d_week_seq->[d_week_seq]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_year = 1999))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query20.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query20.out
new file mode 100644
index 0000000000..a0dc7ea17e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query20.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_20 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[cs_item_sk]
+--------------------------PhysicalDistribute
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_date <= '2002-02-25') and (date_dim.d_date >= '2002-01-26'))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(i_category IN ('Books', 'Shoes', 'Women'))
+--------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query21.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query21.out
new file mode 100644
index 0000000000..c67307e33f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query21.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_21 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------filter((if((inv_before > 0), (cast(inv_after as DOUBLE) / cast(inv_before as DOUBLE)), NULL) <= 1.5) and (if((inv_before > 0), (cast(inv_after as DOUBLE) / cast(inv_before as DOUBLE)), NULL) >= cast((2.000000 / 3.0) as DOUBLE)))
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[inv_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = inventory.inv_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[inv_item_sk]
+--------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_current_price <= 1.49) and (item.i_current_price >= 0.99))
+--------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '2002-03-29') and (date_dim.d_date >= '2002-01-28'))
+------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query22.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query22.out
new file mode 100644
index 0000000000..c4c5c91428
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query22.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_22 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[inv_date_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[inventory] apply RFs: RF1
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_month_seq <= 1199) and (date_dim.d_month_seq >= 1188))
+----------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query23.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query23.out
new file mode 100644
index 0000000000..eb0339f701
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query23.out
@@ -0,0 +1,101 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_23 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------filter((cnt > 4))
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (2000, 2001, 2002, 2003))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[item]
+--PhysicalCteAnchor ( cteId=CTEId#2 )
+----PhysicalCteProducer ( cteId=CTEId#2 )
+------PhysicalProject
+--------NestedLoopJoin[INNER_JOIN](cast(ssales as DOUBLE) > cast((0.9500 * tpcds_cmax) as DOUBLE))
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF4 c_customer_sk->[ss_customer_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF4
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer]
+----------PhysicalDistribute
+------------PhysicalProject
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ss_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(d_year IN (2000, 2001, 2002, 2003))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+----PhysicalResultSink
+------PhysicalLimit[GLOBAL]
+--------PhysicalLimit[LOCAL]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalUnion
+------------------PhysicalProject
+--------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((catalog_sales.cs_item_sk = frequent_ss_items.item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = best_ss_customer.c_customer_sk)) otherCondition=() build RFs:RF6 c_customer_sk->[cs_bill_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#2 )
+------------------PhysicalProject
+--------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((web_sales.ws_item_sk = frequent_ss_items.item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = best_ss_customer.c_customer_sk)) otherCondition=() build RFs:RF8 c_customer_sk->[ws_bill_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[ws_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF7 RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#2 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query24.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query24.out
new file mode 100644
index 0000000000..c15f6c92a3
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query24.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_24 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((store.s_zip = customer_address.ca_zip) and (store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((store.s_market_id = 8))
+------------------------------------PhysicalOlapScan[store]
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=(( not (c_birth_country = upper(ca_country))))
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_address]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_returns]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------NestedLoopJoin[INNER_JOIN](cast(paid as DOUBLE) > cast((0.05 * avg(cast(netpaid as DECIMALV3(38, 4)))) as DOUBLE))
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ssales.i_color = 'beige'))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query25.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query25.out
new file mode 100644
index 0000000000..7e87daacbc
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query25.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_25 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF8 sr_customer_sk->[cs_bill_customer_sk];RF9 sr_item_sk->[cs_item_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF7 d_date_sk->[cs_sold_date_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7 RF8 RF9
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((d3.d_moy <= 10) and (d3.d_moy >= 4) and (d3.d_year = 2000))
+------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF2 sr_customer_sk->[ss_customer_sk];RF3 sr_item_sk->[ss_item_sk];RF4 sr_ticket_number->[ss_ticket_number]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3 RF4
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((d1.d_moy = 4) and (d1.d_year = 2000))
+----------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((d2.d_moy <= 10) and (d2.d_moy >= 4) and (d2.d_year = 2000))
+----------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query26.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query26.out
new file mode 100644
index 0000000000..b0c991f37a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query26.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_26 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF2 p_promo_sk->[cs_promo_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[cs_bill_cdemo_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_demographics.cd_education_status = 'Unknown') and (customer_demographics.cd_gender = 'M') and (customer_demographics.cd_marital_status = 'S'))
+------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((promotion.p_channel_email = 'N') OR (promotion.p_channel_event = 'N')))
+----------------------------PhysicalOlapScan[promotion]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query27.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query27.out
new file mode 100644
index 0000000000..32645c2e06
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query27.out
@@ -0,0 +1,38 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_27 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalRepeat
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF3
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((customer_demographics.cd_education_status = 'Secondary') and (customer_demographics.cd_gender = 'F') and (customer_demographics.cd_marital_status = 'D'))
+------------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_year = 1999))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(s_state IN ('AL', 'LA', 'MI', 'MO', 'SC', 'TN'))
+------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query28.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query28.out
new file mode 100644
index 0000000000..079837446a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query28.out
@@ -0,0 +1,63 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_28 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------PhysicalProject
+--------NestedLoopJoin[CROSS_JOIN]
+----------PhysicalLimit[LOCAL]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------PhysicalLimit[LOCAL]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------PhysicalLimit[LOCAL]
+--------------------NestedLoopJoin[CROSS_JOIN]
+----------------------PhysicalLimit[LOCAL]
+------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------PhysicalLimit[LOCAL]
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter(((((store_sales.ss_list_price >= 131.00) AND (store_sales.ss_list_price <= 141.00)) OR ((store_sales.ss_coupon_amt >= 16798.00) AND (store_sales.ss_coupon_amt <= 17798.00))) OR ((store_sales.ss_wholesale_cost >= 25.00) AND (store_sales.ss_wholesale_cost <= 45.00))) and (store_sales.ss_quantity <= 5) and (store_sales.ss_quantity >= 0))
+--------------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalLimit[LOCAL]
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------filter(((((store_sales.ss_list_price >= 145.00) AND (store_sales.ss_list_price <= 155.00)) OR ((store_sales.ss_coupon_amt >= 14792.00) AND (store_sales.ss_coupon_amt <= 15792.00))) OR ((store_sales.ss_wholesale_cost >= 46.00) AND (store_sales.ss_wholesale_cost <= 66.00))) and (store_sales.ss_quantity <= 10) and (store_sales.ss_quantity >= 6))
+----------------------------------------PhysicalOlapScan[store_sales]
+----------------------PhysicalDistribute
+------------------------PhysicalLimit[LOCAL]
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------filter(((((store_sales.ss_list_price >= 150.00) AND (store_sales.ss_list_price <= 1.6E+2)) OR ((store_sales.ss_coupon_amt >= 6600.00) AND (store_sales.ss_coupon_amt <= 7.6E+3))) OR ((store_sales.ss_wholesale_cost >= 9.00) AND (store_sales.ss_wholesale_cost <= 29.00))) and (store_sales.ss_quantity <= 15) and (store_sales.ss_quantity >= 11))
+------------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalLimit[LOCAL]
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter(((((store_sales.ss_list_price >= 91.00) AND (store_sales.ss_list_price <= 101.00)) OR ((store_sales.ss_coupon_amt >= 13493.00) AND (store_sales.ss_coupon_amt <= 14493.00))) OR ((store_sales.ss_wholesale_cost >= 36.00) AND (store_sales.ss_wholesale_cost <= 56.00))) and (store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 16))
+--------------------------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalLimit[LOCAL]
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------filter(((((store_sales.ss_list_price >= 0.00) AND (store_sales.ss_list_price <= 10.00)) OR ((store_sales.ss_coupon_amt >= 7629.00) AND (store_sales.ss_coupon_amt <= 8629.00))) OR ((store_sales.ss_wholesale_cost >= 6.00) AND (store_sales.ss_wholesale_cost <= 26.00))) and (store_sales.ss_quantity <= 25) and (store_sales.ss_quantity >= 21))
+----------------------------PhysicalOlapScan[store_sales]
+----------PhysicalDistribute
+------------PhysicalLimit[LOCAL]
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------filter(((((store_sales.ss_list_price >= 89.00) AND (store_sales.ss_list_price <= 99.00)) OR ((store_sales.ss_coupon_amt >= 15257.00) AND (store_sales.ss_coupon_amt <= 16257.00))) OR ((store_sales.ss_wholesale_cost >= 31.00) AND (store_sales.ss_wholesale_cost <= 51.00))) and (store_sales.ss_quantity <= 30) and (store_sales.ss_quantity >= 26))
+------------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query29.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query29.out
new file mode 100644
index 0000000000..0a890c4e35
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query29.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_29 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d3.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[cs_sold_date_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk) and (store_returns.sr_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF7 sr_customer_sk->[cs_bill_customer_sk];RF8 sr_item_sk->[cs_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF7 RF8 RF9
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF2 sr_customer_sk->[ss_customer_sk];RF3 sr_item_sk->[ss_item_sk];RF4 sr_ticket_number->[ss_ticket_number]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3 RF4
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_moy = 4) and (d1.d_year = 1999))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d2.d_moy <= 7) and (d2.d_moy >= 4) and (d2.d_year = 1999))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter(d_year IN (1999, 2000, 2001))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query3.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query3.out
new file mode 100644
index 0000000000..c093dd8602
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query3.out
@@ -0,0 +1,25 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_3 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------PhysicalDistribute
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_manufact_id = 816))
+------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((dt.d_moy = 11))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query30.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query30.out
new file mode 100644
index 0000000000..05a7965c22
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query30.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_30 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returning_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[wr_returned_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_returns] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2002))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_state = ctr2.ctr_state)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ctr_customer_sk]
+------------------PhysicalDistribute
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[customer] apply RFs: RF2
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((customer_address.ca_state = 'IN'))
+----------------------------PhysicalOlapScan[customer_address]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query31.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query31.out
new file mode 100644
index 0000000000..67cacb128a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query31.out
@@ -0,0 +1,76 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_31 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ss.d_year = 2000) and d_qoy IN (1, 2, 3))
+--------------------------PhysicalOlapScan[date_dim]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[customer_address]
+--PhysicalCteAnchor ( cteId=CTEId#1 )
+----PhysicalCteProducer ( cteId=CTEId#1 )
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[ws_bill_addr_sk]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((ws.d_year = 2000) and d_qoy IN (1, 2, 3))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+----PhysicalResultSink
+------PhysicalQuickSort[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalQuickSort[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((ws1.ca_county = ws3.ca_county)) otherCondition=((if((web_sales > 0.00), (cast(web_sales as DOUBLE) / cast(web_sales as DOUBLE)), NULL) > if((store_sales > 0.00), (cast(store_sales as DOUBLE) / cast(store_sales as DOUBLE)), NULL)))
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((ws3.d_qoy = 3) and (ws3.d_year = 2000))
+----------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((ss2.ca_county = ss3.ca_county)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((ss3.d_qoy = 3) and (ss3.d_year = 2000))
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ca_county = ws2.ca_county)) otherCondition=((if((web_sales > 0.00), (cast(web_sales as DOUBLE) / cast(web_sales as DOUBLE)), NULL) > if((store_sales > 0.00), (cast(store_sales as DOUBLE) / cast(store_sales as DOUBLE)), NULL)))
+----------------------hashJoin[INNER_JOIN] hashCondition=((ss1.ca_county = ws1.ca_county)) otherCondition=()
+------------------------hashJoin[INNER_JOIN] hashCondition=((ss1.ca_county = ss2.ca_county)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((ss1.d_qoy = 1) and (ss1.d_year = 2000))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((ss2.d_qoy = 2) and (ss2.d_year = 2000))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((ws1.d_qoy = 1) and (ws1.d_year = 2000))
+------------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((ws2.d_qoy = 2) and (ws2.d_year = 2000))
+----------------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query32.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query32.out
new file mode 100644
index 0000000000..fa698587ba
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query32.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_32 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------filter((cast(cs_ext_discount_amt as DECIMALV3(38, 5)) > (1.3 * avg(cast(cs_ext_discount_amt as DECIMALV3(9, 4))) OVER(PARTITION BY i_item_sk))))
+----------------PhysicalWindow
+------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((item.i_manufact_id = 29))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '1999-04-07') and (date_dim.d_date >= '1999-01-07'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query33.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query33.out
new file mode 100644
index 0000000000..32216e5262
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query33.out
@@ -0,0 +1,101 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_33 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF0 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF4 i_manufact_id->[i_manufact_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_manufact_id = item.i_manufact_id)) otherCondition=() build RFs:RF11 i_manufact_id->[i_manufact_id]
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 ws_item_sk->[i_item_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item] apply RFs: RF10 RF11
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF9 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 1) and (date_dim.d_year = 2002))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -5.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((item.i_category = 'Home'))
+------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query34.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query34.out
new file mode 100644
index 0000000000..ac5d62c541
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query34.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_34 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 ss_customer_sk->[c_customer_sk]
+------------PhysicalProject
+--------------PhysicalOlapScan[customer] apply RFs: RF3
+------------PhysicalDistribute
+--------------filter((dn.cnt <= 20) and (dn.cnt >= 15))
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((((date_dim.d_dom >= 1) AND (date_dim.d_dom <= 3)) OR ((date_dim.d_dom >= 25) AND (date_dim.d_dom <= 28))) and d_year IN (1998, 1999, 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((household_demographics.hd_vehicle_count > 0) and (if((hd_vehicle_count > 0), (cast(hd_dep_count as DOUBLE) / cast(hd_vehicle_count as DOUBLE)), NULL) > 1.2) and hd_buy_potential IN ('0-500', '1001-5000'))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(s_county IN ('Barrow County', 'Daviess County', 'Franklin Parish', 'Luce County', 'Richland County', 'Walker County', 'Williamson County', 'Ziebach County'))
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query35.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query35.out
new file mode 100644
index 0000000000..00313966c6
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query35.out
@@ -0,0 +1,59 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_35 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(($c$1 OR $c$2))
+--------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=()
+----------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=()
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=()
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer_address]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_qoy < 4) and (date_dim.d_year = 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query36.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query36.out
new file mode 100644
index 0000000000..0ecf0bb2c9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query36.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_36 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=()
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF2
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((d1.d_year = 2002))
+------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(s_state IN ('AL', 'GA', 'MI', 'MO', 'OH', 'SC', 'SD', 'TN'))
+--------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query37.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query37.out
new file mode 100644
index 0000000000..3ac16407fa
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query37.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_37 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[cs_item_sk]
+------------------PhysicalProject
+--------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = inventory.inv_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[inv_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[inv_item_sk]
+----------------------------PhysicalProject
+------------------------------filter((inventory.inv_quantity_on_hand <= 500) and (inventory.inv_quantity_on_hand >= 100))
+--------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_current_price <= 75.00) and (item.i_current_price >= 45.00) and i_manufact_id IN (1000, 707, 747, 856))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '1999-04-22') and (date_dim.d_date >= '1999-02-21'))
+------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query38.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query38.out
new file mode 100644
index 0000000000..74872dfe19
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query38.out
@@ -0,0 +1,62 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_38 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------PhysicalIntersect
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer]
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[cs_bill_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cs_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer]
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_month_seq <= 1194) and (date_dim.d_month_seq >= 1183))
+--------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query39.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query39.out
new file mode 100644
index 0000000000..414bf43582
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query39.out
@@ -0,0 +1,40 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_39 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------filter((if((mean = 0), 0, (stdev / mean)) > 1))
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[inv_date_sk]
+------------------------PhysicalOlapScan[inventory] apply RFs: RF0
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_year = 1998) and d_moy IN (1, 2))
+------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((inv1.i_item_sk = inv2.i_item_sk) and (inv1.w_warehouse_sk = inv2.w_warehouse_sk)) otherCondition=()
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((inv1.d_moy = 1))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((inv2.d_moy = 2))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query4.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query4.out
new file mode 100644
index 0000000000..38ea191709
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query4.out
@@ -0,0 +1,94 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_4 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1999, 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = catalog_sales.cs_bill_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[cs_bill_customer_sk]
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cs_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1999, 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1999, 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=((if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL) > if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=((if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL) > if((year_total > 0.000000), (cast(year_total as DOUBLE) / cast(year_total as DOUBLE)), NULL)))
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_c_secyear.customer_id)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_c_firstyear.customer_id)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((t_s_firstyear.dyear = 1999) and (t_s_firstyear.sale_type = 's') and (t_s_firstyear.year_total > 0.000000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((t_c_firstyear.dyear = 1999) and (t_c_firstyear.sale_type = 'c') and (t_c_firstyear.year_total > 0.000000))
+----------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((t_c_secyear.dyear = 2000) and (t_c_secyear.sale_type = 'c'))
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((t_s_secyear.dyear = 2000) and (t_s_secyear.sale_type = 's'))
+----------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_w_firstyear.dyear = 1999) and (t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year_total > 0.000000))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_secyear.dyear = 2000) and (t_w_secyear.sale_type = 'w'))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query40.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query40.out
new file mode 100644
index 0000000000..f032163867
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query40.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_40 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=() build RFs:RF2 cs_order_number->[cr_order_number];RF3 cs_item_sk->[cr_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF2 RF3
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_current_price <= 1.49) and (item.i_current_price >= 0.99))
+--------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '2001-05-02') and (date_dim.d_date >= '2001-03-03'))
+------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query41.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query41.out
new file mode 100644
index 0000000000..584dda5785
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query41.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_41 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((item.i_manufact = i1.i_manufact)) otherCondition=() build RFs:RF0 i_manufact->[i_manufact]
+------------------PhysicalProject
+--------------------filter((i1.i_manufact_id <= 788) and (i1.i_manufact_id >= 748))
+----------------------PhysicalOlapScan[item] apply RFs: RF0
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((item_cnt > 0))
+------------------------hashAgg[GLOBAL]
+--------------------------PhysicalDistribute
+----------------------------hashAgg[LOCAL]
+------------------------------PhysicalProject
+--------------------------------filter((((((((((((item.i_category = 'Women') AND i_color IN ('aquamarine', 'gainsboro')) AND i_units IN ('Dozen', 'Ounce')) AND i_size IN ('economy', 'medium')) OR ((((item.i_category = 'Women') AND i_color IN ('chiffon', 'violet')) AND i_units IN ('Pound', 'Ton')) AND i_size IN ('extra large', 'small'))) OR ((((item.i_category = 'Women') AND i_color IN ('blanched', 'tomato')) AND i_units IN ('Case', 'Tbl')) AND i_size IN ('economy', 'medium'))) OR ((((item.i_category = 'Women') AND i_color IN ('almond', 'lime')) AND i_units IN ('Box', 'Dram')) AND i_size IN ('extra large', 'small'))) OR ((((item.i_category = 'Men') AND i_color IN ('blue', 'chartreuse')) AND i_units IN ('Each', 'Oz')) AND i_size IN ('N/A', 'large'))) OR ((((item.i_category = 'Men') AND i_color IN ('dodger', 'tan')) AND i_units IN ('Bunch', 'Tsp')) AND i_size IN ('economy', 'medium'))) OR ((((item.i_category = 'Men') AND i_color IN ('peru', 'saddle')) AND i_units IN ('Gram', 'Pallet')) AND i_size IN ('N/A', 'large'))) OR ((((item.i_category = 'Men') AND i_color IN ('indian', 'spring')) AND i_units IN ('Carton', 'Unknown')) AND i_size IN ('economy', 'medium'))))
+----------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query42.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query42.out
new file mode 100644
index 0000000000..7d6239b062
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query42.out
@@ -0,0 +1,23 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_42 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((item.i_manager_id = 1))
+--------------------------PhysicalOlapScan[item]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((dt.d_moy = 11) and (dt.d_year = 2002))
+------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query43.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query43.out
new file mode 100644
index 0000000000..445a381983
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query43.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_43 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((store.s_gmt_offset = -5.00))
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query44.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query44.out
new file mode 100644
index 0000000000..2c3fc9a8c2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query44.out
@@ -0,0 +1,72 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_44 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((asceding.rnk = descending.rnk)) otherCondition=()
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((i1.i_item_sk = asceding.item_sk)) otherCondition=() build RFs:RF1 item_sk->[i_item_sk]
+------------------PhysicalProject
+--------------------PhysicalOlapScan[item] apply RFs: RF1
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((rnk < 11))
+------------------------PhysicalWindow
+--------------------------PhysicalQuickSort[MERGE_SORT]
+----------------------------PhysicalDistribute
+------------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------------PhysicalPartitionTopN
+----------------------------------PhysicalProject
+------------------------------------NestedLoopJoin[INNER_JOIN](cast(rank_col as DOUBLE) > cast((0.9 * rank_col) as DOUBLE))
+--------------------------------------PhysicalProject
+----------------------------------------hashAgg[GLOBAL]
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashAgg[LOCAL]
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((ss1.ss_store_sk = 146))
+--------------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalAssertNumRows
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((store_sales.ss_store_sk = 146) and ss_addr_sk IS NULL)
+--------------------------------------------------------PhysicalOlapScan[store_sales]
+------------PhysicalDistribute
+--------------hashJoin[INNER_JOIN] hashCondition=((i2.i_item_sk = descending.item_sk)) otherCondition=() build RFs:RF0 item_sk->[i_item_sk]
+----------------PhysicalProject
+------------------PhysicalOlapScan[item] apply RFs: RF0
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((rnk < 11))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[MERGE_SORT]
+--------------------------PhysicalDistribute
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalPartitionTopN
+--------------------------------PhysicalProject
+----------------------------------NestedLoopJoin[INNER_JOIN](cast(rank_col as DOUBLE) > cast((0.9 * rank_col) as DOUBLE))
+------------------------------------PhysicalProject
+--------------------------------------hashAgg[GLOBAL]
+----------------------------------------PhysicalDistribute
+------------------------------------------hashAgg[LOCAL]
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((ss1.ss_store_sk = 146))
+------------------------------------------------PhysicalOlapScan[store_sales]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalAssertNumRows
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------hashAgg[GLOBAL]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashAgg[LOCAL]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((store_sales.ss_store_sk = 146) and ss_addr_sk IS NULL)
+------------------------------------------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query45.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query45.out
new file mode 100644
index 0000000000..df8cc18930
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query45.out
@@ -0,0 +1,42 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_45 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------filter((substring(ca_zip, 1, 5) IN ('80348', '81792', '83405', '85392', '85460', '85669', '86197', '86475', '88274') OR $c$1))
+------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=()
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=()
+------------------------------PhysicalDistribute
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_qoy = 2) and (date_dim.d_year = 2000))
+----------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[customer]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[customer_address]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(i_item_sk IN (11, 13, 17, 19, 2, 23, 29, 3, 5, 7))
+--------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query46.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query46.out
new file mode 100644
index 0000000000..a317f24236
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query46.out
@@ -0,0 +1,45 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_46 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=(( not (ca_city = bought_city)))
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[ss_hdemo_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(d_dow IN (0, 6) and d_year IN (1999, 2000, 2001))
+----------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((household_demographics.hd_dep_count = 6) OR (household_demographics.hd_vehicle_count = 0)))
+------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(s_city IN ('Centerville', 'Fairview', 'Five Points', 'Liberty', 'Oak Grove'))
+----------------------------------PhysicalOlapScan[store]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address]
+------------PhysicalDistribute
+--------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = current_addr.ca_address_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query47.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query47.out
new file mode 100644
index 0000000000..5224b58e4b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query47.out
@@ -0,0 +1,50 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_47 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------PhysicalWindow
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((((date_dim.d_year = 2001) OR ((date_dim.d_year = 2000) AND (date_dim.d_moy = 12))) OR ((date_dim.d_year = 2002) AND (date_dim.d_moy = 1))))
+----------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((v1.i_brand = v1_lag.i_brand) and (v1.i_category = v1_lag.i_category) and (v1.rn = expr_(rn + 1)) and (v1.s_company_name = v1_lag.s_company_name) and (v1.s_store_name = v1_lag.s_store_name)) otherCondition=()
+----------------hashJoin[INNER_JOIN] hashCondition=((v1.i_brand = v1_lead.i_brand) and (v1.i_category = v1_lead.i_category) and (v1.rn = expr_(rn - 1)) and (v1.s_company_name = v1_lead.s_company_name) and (v1.s_store_name = v1_lead.s_store_name)) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1) and (v2.avg_monthly_sales > 0.0000) and (v2.d_year = 2001))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query48.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query48.out
new file mode 100644
index 0000000000..c2a5e2df11
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query48.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_48 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('IA', 'MD', 'MN') AND ((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00))) OR (ca_state IN ('IL', 'TX', 'VA') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00)))) OR (ca_state IN ('IN', 'MI', 'WI') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))))) build RFs:RF1 ca_address_sk->[ss_addr_sk]
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=((((((customer_demographics.cd_marital_status = 'U') AND (customer_demographics.cd_education_status = 'Primary')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) OR (((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00)))) OR (((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = '2 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))) build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+----------------------------PhysicalProject
+------------------------------filter(((((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))) and ((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((((customer_demographics.cd_marital_status = 'U') AND (customer_demographics.cd_education_status = 'Primary')) OR ((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'College'))) OR ((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = '2 yr Degree'))))
+----------------------------------PhysicalOlapScan[customer_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((ca_state IN ('IA', 'MD', 'MN') OR ca_state IN ('IL', 'TX', 'VA')) OR ca_state IN ('IN', 'MI', 'WI')) and (customer_address.ca_country = 'United States'))
+------------------------------PhysicalOlapScan[customer_address]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((date_dim.d_year = 1999))
+------------------------PhysicalOlapScan[date_dim]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query49.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query49.out
new file mode 100644
index 0000000000..b3ae487ebe
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query49.out
@@ -0,0 +1,89 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_49 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((ws.ws_item_sk = wr.wr_item_sk) and (ws.ws_order_number = wr.wr_order_number)) otherCondition=() build RFs:RF1 ws_order_number->[wr_order_number];RF2 ws_item_sk->[wr_item_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((wr.wr_return_amt > 10000.00))
+--------------------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF1 RF2
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((ws.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((ws.ws_net_paid > 0.00) and (ws.ws_net_profit > 1.00) and (ws.ws_quantity > 0))
+----------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs.cs_item_sk = cr.cr_item_sk) and (cs.cs_order_number = cr.cr_order_number)) otherCondition=() build RFs:RF4 cs_order_number->[cr_order_number];RF5 cs_item_sk->[cr_item_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((cr.cr_return_amount > 10000.00))
+--------------------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF4 RF5
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[cs_sold_date_sk]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((cs.cs_net_paid > 0.00) and (cs.cs_net_profit > 1.00) and (cs.cs_quantity > 0))
+----------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF3
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter(((return_rank <= 10) OR (currency_rank <= 10)))
+----------------------PhysicalWindow
+------------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[MERGE_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalQuickSort[LOCAL_SORT]
+----------------------------------PhysicalProject
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((sts.ss_item_sk = sr.sr_item_sk) and (sts.ss_ticket_number = sr.sr_ticket_number)) otherCondition=() build RFs:RF7 ss_ticket_number->[sr_ticket_number];RF8 ss_item_sk->[sr_item_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((sr.sr_return_amt > 10000.00))
+--------------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF7 RF8
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((sts.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[ss_sold_date_sk]
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((sts.ss_net_paid > 0.00) and (sts.ss_net_profit > 1.00) and (sts.ss_quantity > 0))
+----------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF6
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1999))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query5.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query5.out
new file mode 100644
index 0000000000..73a6975794
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query5.out
@@ -0,0 +1,84 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_5 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.store_sk = store.s_store_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk,sr_returned_date_sk]
+------------------------------------PhysicalUnion
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_returns]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.page_sk = catalog_page.cp_catalog_page_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk,cr_returned_date_sk]
+--------------------------------------PhysicalUnion
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[catalog_returns]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_page]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.wsr_web_site_sk = web_site.web_site_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((salesreturns.date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk,wr_returned_date_sk]
+------------------------------------PhysicalUnion
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_item_sk = web_sales.ws_item_sk) and (web_returns.wr_order_number = web_sales.ws_order_number)) otherCondition=() build RFs:RF2 wr_item_sk->[ws_item_sk];RF3 wr_order_number->[ws_order_number]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_returns]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '2000-09-02') and (date_dim.d_date >= '2000-08-19'))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query50.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query50.out
new file mode 100644
index 0000000000..6f1981b252
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query50.out
@@ -0,0 +1,32 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_50 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = store_returns.sr_customer_sk) and (store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF1 sr_customer_sk->[ss_customer_sk];RF2 sr_item_sk->[ss_item_sk];RF3 sr_ticket_number->[ss_ticket_number]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = d2.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((d2.d_moy = 8) and (d2.d_year = 2001))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query51.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query51.out
new file mode 100644
index 0000000000..ecf279836c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query51.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_51 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((web_cumulative > store_cumulative))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[FULL_OUTER_JOIN] hashCondition=((web.d_date = store.d_date) and (web.item_sk = store.item_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_month_seq <= 1227) and (date_dim.d_month_seq >= 1216))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalWindow
+----------------------------PhysicalQuickSort[LOCAL_SORT]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((date_dim.d_month_seq <= 1227) and (date_dim.d_month_seq >= 1216))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query52.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query52.out
new file mode 100644
index 0000000000..5dda178baf
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query52.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_52 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((dt.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_manager_id = 1))
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((dt.d_moy = 12) and (dt.d_year = 2002))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query53.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query53.out
new file mode 100644
index 0000000000..0506646180
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query53.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_53 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((if((avg_quarterly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_quarterly_sales as DOUBLE))) / cast(avg_quarterly_sales as DOUBLE)), NULL) > 0.1))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((((i_category IN ('Books', 'Children', 'Electronics') AND i_class IN ('personal', 'portable', 'reference', 'self-help')) AND i_brand IN ('exportiunivamalg #9', 'scholaramalgamalg #14', 'scholaramalgamalg #7', 'scholaramalgamalg #9')) OR ((i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')) AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))))
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_month_seq IN (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211))
+------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query54.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query54.out
new file mode 100644
index 0000000000..54d35d0de9
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query54.out
@@ -0,0 +1,85 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_54 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------NestedLoopJoin[INNER_JOIN](cast(d_month_seq as BIGINT) <= (d_month_seq + 3))
+----------------------------NestedLoopJoin[INNER_JOIN](cast(d_month_seq as BIGINT) >= (d_month_seq + 1))
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((my_customers.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ss_customer_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF5
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_county = store.s_county) and (customer_address.ca_state = store.s_state)) otherCondition=() build RFs:RF3 s_county->[ca_county];RF4 s_state->[ca_state]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((my_customers.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 c_current_addr_sk->[ca_address_sk]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[customer_address] apply RFs: RF2 RF3 RF4
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------hashAgg[GLOBAL]
+--------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------hashAgg[LOCAL]
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = cs_or_ws_sales.customer_sk)) otherCondition=() build RFs:RF1 customer_sk->[c_customer_sk]
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF1
+----------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs_or_ws_sales.sold_date_sk = date_dim.d_date_sk)) otherCondition=()
+----------------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((cs_or_ws_sales.item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk,ws_item_sk]
+--------------------------------------------------------------------------PhysicalUnion
+----------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------PhysicalOlapScan[web_sales]
+--------------------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------------------filter((item.i_category = 'Women') and (item.i_class = 'maternity'))
+--------------------------------------------------------------------------------PhysicalOlapScan[item]
+----------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+----------------------------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------PhysicalOlapScan[store]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalAssertNumRows
+----------------------------------PhysicalDistribute
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 5) and (date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query55.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query55.out
new file mode 100644
index 0000000000..315bb92b5a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query55.out
@@ -0,0 +1,24 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_55 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((item.i_manager_id = 100))
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 2000))
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query56.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query56.out
new file mode 100644
index 0000000000..376ea67c03
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query56.out
@@ -0,0 +1,99 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_56 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ca_address_sk->[ss_addr_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF0 i_item_id->[i_item_id]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+------------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+----------------------------------PhysicalOlapScan[customer_address]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF7 cs_bill_addr_sk->[ca_address_sk]
+----------------------------PhysicalProject
+------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+--------------------------------PhysicalOlapScan[customer_address] apply RFs: RF7
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF6 i_item_sk->[cs_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF4 i_item_id->[i_item_id]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+------------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF11 ws_bill_addr_sk->[ca_address_sk]
+----------------------------PhysicalProject
+------------------------------filter((customer_address.ca_gmt_offset = -6.00))
+--------------------------------PhysicalOlapScan[customer_address] apply RFs: RF11
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF10 i_item_sk->[ws_item_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy = 2) and (date_dim.d_year = 2000))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF8 i_item_id->[i_item_id]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(i_color IN ('cyan', 'green', 'powder'))
+------------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query57.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query57.out
new file mode 100644
index 0000000000..8d9d7e1176
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query57.out
@@ -0,0 +1,51 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_57 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------PhysicalWindow
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((call_center.cc_call_center_sk = catalog_sales.cs_call_center_sk)) otherCondition=()
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((((date_dim.d_year = 1999) OR ((date_dim.d_year = 1998) AND (date_dim.d_moy = 12))) OR ((date_dim.d_year = 2000) AND (date_dim.d_moy = 1))))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[call_center]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((v1.cc_name = v1_lag.cc_name) and (v1.i_brand = v1_lag.i_brand) and (v1.i_category = v1_lag.i_category) and (v1.rn = expr_(rn + 1))) otherCondition=()
+----------------hashJoin[INNER_JOIN] hashCondition=((v1.cc_name = v1_lead.cc_name) and (v1.i_brand = v1_lead.i_brand) and (v1.i_category = v1_lead.i_category) and (v1.rn = expr_(rn - 1))) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1) and (v2.avg_monthly_sales > 0.0000) and (v2.d_year = 1999))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query58.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query58.out
new file mode 100644
index 0000000000..9defe6848b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query58.out
@@ -0,0 +1,98 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_58 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ss_items.item_id = cs_items.item_id)) otherCondition=((cast(cs_item_rev as DOUBLE) <= cast((1.1 * ss_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) <= cast((1.1 * ws_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) >= cast((0.9 * ss_item_rev) as DOUBLE)) and (cast(cs_item_rev as DOUBLE) >= cast((0.9 * ws_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) <= cast((1.1 * cs_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) >= cast((0.9 * cs_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) <= cast((1.1 * cs_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) >= cast((0.9 * cs_item_rev) as DOUBLE))) build RFs:RF13 item_id->[i_item_id]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF12 i_item_sk->[cs_item_sk]
+--------------------------PhysicalDistribute
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF11 RF12
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF10 d_date->[d_date]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF10
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF9 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF9
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalAssertNumRows
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+----------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item] apply RFs: RF13
+--------------hashJoin[INNER_JOIN] hashCondition=((ss_items.item_id = ws_items.item_id)) otherCondition=((cast(ss_item_rev as DOUBLE) <= cast((1.1 * ws_item_rev) as DOUBLE)) and (cast(ss_item_rev as DOUBLE) >= cast((0.9 * ws_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) <= cast((1.1 * ss_item_rev) as DOUBLE)) and (cast(ws_item_rev as DOUBLE) >= cast((0.9 * ss_item_rev) as DOUBLE))) build RFs:RF8 item_id->[i_item_id]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[ws_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF6 RF7
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF5 d_date->[d_date]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[item] apply RFs: RF8
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF1 d_date->[d_date]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF0
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_date = '2001-03-24'))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query59.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query59.out
new file mode 100644
index 0000000000..fb004256dd
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query59.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_59 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=()
+--------------PhysicalProject
+----------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalProject
+------PhysicalTopN[MERGE_SORT]
+--------PhysicalDistribute
+----------PhysicalTopN[LOCAL_SORT]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((expr_cast(d_week_seq1 as BIGINT) = expr_(d_week_seq2 - 52)) and (y.s_store_id1 = x.s_store_id2)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((wss.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF4 s_store_sk->[ss_store_sk]
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((d.d_week_seq = d_week_seq1)) otherCondition=() build RFs:RF3 d_week_seq->[d_week_seq]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((d.d_month_seq <= 1207) and (d.d_month_seq >= 1196))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((wss.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((d.d_week_seq = d_week_seq2)) otherCondition=() build RFs:RF1 d_week_seq->[d_week_seq]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((d.d_month_seq <= 1219) and (d.d_month_seq >= 1208))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query6.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query6.out
new file mode 100644
index 0000000000..8d5029ff5d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query6.out
@@ -0,0 +1,54 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_6 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((cnt >= 10))
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((a.ca_address_sk = c.c_current_addr_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_customer_sk = s.ss_customer_sk)) otherCondition=() build RFs:RF4 ss_customer_sk->[c_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer] apply RFs: RF4
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((s.ss_item_sk = i.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((s.ss_sold_date_sk = d.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((d.d_month_seq = date_dim.d_month_seq)) otherCondition=() build RFs:RF1 d_month_seq->[d_month_seq]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalAssertNumRows
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashAgg[GLOBAL]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------hashAgg[LOCAL]
+--------------------------------------------------------PhysicalProject
+----------------------------------------------------------filter((date_dim.d_moy = 3) and (date_dim.d_year = 2002))
+------------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((j.i_category = i.i_category)) otherCondition=((cast(i_current_price as DECIMALV3(38, 5)) > (1.2 * avg(cast(i_current_price as DECIMALV3(9, 4))))))
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[item]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[GLOBAL]
+------------------------------------------PhysicalDistribute
+--------------------------------------------hashAgg[LOCAL]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query60.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query60.out
new file mode 100644
index 0000000000..c7599f8a05
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query60.out
@@ -0,0 +1,104 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_60 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ss_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[ss_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2 RF3
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF0 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF0
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF6 ca_address_sk->[cs_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF4 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF4
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF11 i_item_sk->[ws_item_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF10 ca_address_sk->[ws_bill_addr_sk]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF9 RF10 RF11
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 8) and (date_dim.d_year = 2000))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((customer_address.ca_gmt_offset = -7.00))
+----------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((item.i_item_id = item.i_item_id)) otherCondition=() build RFs:RF8 i_item_id->[i_item_id]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item] apply RFs: RF8
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Children'))
+--------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query61.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query61.out
new file mode 100644
index 0000000000..acfbd106b2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query61.out
@@ -0,0 +1,81 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_61 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalTopN[LOCAL_SORT]
+--------NestedLoopJoin[CROSS_JOIN]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF10 c_current_addr_sk->[ca_address_sk]
+--------------------PhysicalProject
+----------------------filter((customer_address.ca_gmt_offset = -7.00))
+------------------------PhysicalOlapScan[customer_address] apply RFs: RF10
+--------------------PhysicalDistribute
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF9 ss_item_sk->[i_item_sk]
+------------------------PhysicalProject
+--------------------------filter((item.i_category = 'Jewelry'))
+----------------------------PhysicalOlapScan[item] apply RFs: RF9
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF8 ss_customer_sk->[c_customer_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer] apply RFs: RF8
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF7 ss_promo_sk->[p_promo_sk]
+------------------------------------PhysicalProject
+--------------------------------------filter((((promotion.p_channel_dmail = 'Y') OR (promotion.p_channel_email = 'Y')) OR (promotion.p_channel_tv = 'Y')))
+----------------------------------------PhysicalOlapScan[promotion] apply RFs: RF7
+------------------------------------PhysicalDistribute
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 ss_sold_date_sk->[d_date_sk]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 1999))
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF6
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF5 s_store_sk->[ss_store_sk]
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF5
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((store.s_gmt_offset = -7.00))
+----------------------------------------------------PhysicalOlapScan[store]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF4 c_current_addr_sk->[ca_address_sk]
+----------------------PhysicalProject
+------------------------filter((customer_address.ca_gmt_offset = -7.00))
+--------------------------PhysicalOlapScan[customer_address] apply RFs: RF4
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 ss_item_sk->[i_item_sk]
+--------------------------PhysicalProject
+----------------------------filter((item.i_category = 'Jewelry'))
+------------------------------PhysicalOlapScan[item] apply RFs: RF3
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 ss_sold_date_sk->[d_date_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 1999))
+--------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF2
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF1 ss_customer_sk->[c_customer_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer] apply RFs: RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF0 s_store_sk->[ss_store_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((store.s_gmt_offset = -7.00))
+------------------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query62.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query62.out
new file mode 100644
index 0000000000..62ef4fdabe
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query62.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_62 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_site_sk = web_site.web_site_sk)) otherCondition=()
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_ship_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_month_seq <= 1205) and (date_dim.d_month_seq >= 1194))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[web_site]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[ship_mode]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query63.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query63.out
new file mode 100644
index 0000000000..0649ce1864
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query63.out
@@ -0,0 +1,37 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_63 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter((if((avg_monthly_sales > 0.0000), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1))
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((((i_category IN ('Books', 'Children', 'Electronics') AND i_class IN ('personal', 'portable', 'reference', 'self-help')) AND i_brand IN ('exportiunivamalg #9', 'scholaramalgamalg #14', 'scholaramalgamalg #7', 'scholaramalgamalg #9')) OR ((i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')) AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))))
+------------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(d_month_seq IN (1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192))
+------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query64.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query64.out
new file mode 100644
index 0000000000..7ce2884243
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query64.out
@@ -0,0 +1,127 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_64 --
+PhysicalCteAnchor ( cteId=CTEId#1 )
+--PhysicalCteProducer ( cteId=CTEId#1 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((customer.c_first_shipto_date_sk = d3.d_date_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_first_sales_date_sk = d2.d_date_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=(( not (cd_marital_status = cd_marital_status))) build RFs:RF17 ss_customer_sk->[c_customer_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = ad2.ca_address_sk)) otherCondition=()
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_cdemo_sk = cd2.cd_demo_sk)) otherCondition=()
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_hdemo_sk = hd2.hd_demo_sk)) otherCondition=()
+----------------------------------------------PhysicalProject
+------------------------------------------------PhysicalOlapScan[customer] apply RFs: RF17
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((hd2.hd_income_band_sk = ib2.ib_income_band_sk)) otherCondition=()
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------PhysicalOlapScan[income_band]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF11 ss_item_sk->[sr_item_sk];RF12 ss_ticket_number->[sr_ticket_number]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF11 RF12
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=()
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = ad1.ca_address_sk)) otherCondition=() build RFs:RF9 ss_addr_sk->[ca_address_sk]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[customer_address] apply RFs: RF9
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = cd1.cd_demo_sk)) otherCondition=() build RFs:RF8 ss_cdemo_sk->[cd_demo_sk]
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF8
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[ss_item_sk]
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((hd1.hd_income_band_sk = ib1.ib_income_band_sk)) otherCondition=()
+--------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = hd1.hd_demo_sk)) otherCondition=()
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = cs_ui.cs_item_sk)) otherCondition=() build RFs:RF2 cs_item_sk->[ss_item_sk]
+--------------------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2 RF3 RF7
+--------------------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------------------filter((sale > (2 * refund)))
+--------------------------------------------------------------------------------hashAgg[GLOBAL]
+----------------------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------------------hashAgg[LOCAL]
+--------------------------------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=() build RFs:RF0 cr_order_number->[cs_order_number];RF1 cr_item_sk->[cs_item_sk]
+------------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+------------------------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------------------------PhysicalOlapScan[catalog_returns]
+----------------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------------filter(d_year IN (2001, 2002))
+----------------------------------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------------------PhysicalProject
+----------------------------------------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[income_band]
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------PhysicalOlapScan[store]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------PhysicalProject
+----------------------------------------------------------filter((item.i_current_price <= 33.00) and (item.i_current_price >= 24.00) and i_color IN ('blanched', 'brown', 'burlywood', 'chocolate', 'drab', 'medium'))
+------------------------------------------------------------PhysicalOlapScan[item]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[promotion]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalQuickSort[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalQuickSort[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((cs1.item_sk = cs2.item_sk) and (cs1.store_name = cs2.store_name) and (cs1.store_zip = cs2.store_zip)) otherCondition=((cs2.cnt <= cs1.cnt))
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((cs1.syear = 2001))
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((cs2.syear = 2002))
+--------------------PhysicalCteConsumer ( cteId=CTEId#1 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query65.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query65.out
new file mode 100644
index 0000000000..26cedb18d1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query65.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_65 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = sc.ss_store_sk)) otherCondition=()
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = sc.ss_item_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------hashJoin[INNER_JOIN] hashCondition=((sb.ss_store_sk = sc.ss_store_sk)) otherCondition=((cast(revenue as DOUBLE) <= cast((0.1 * ave) as DOUBLE))) build RFs:RF2 ss_store_sk->[ss_store_sk]
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_month_seq <= 1232) and (date_dim.d_month_seq >= 1221))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalDistribute
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_month_seq <= 1232) and (date_dim.d_month_seq >= 1221))
+----------------------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[item]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query66.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query66.out
new file mode 100644
index 0000000000..a60e94d7fe
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query66.out
@@ -0,0 +1,69 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_66 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF2 t_time_sk->[ws_sold_time_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF0 sm_ship_mode_sk->[ws_ship_mode_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(sm_carrier IN ('GREAT EASTERN', 'LATVIAN'))
+----------------------------------------------PhysicalOlapScan[ship_mode]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((cast(t_time as BIGINT) <= 77621) and (time_dim.t_time >= 48821))
+--------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[warehouse]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=() build RFs:RF7 w_warehouse_sk->[cs_warehouse_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF6 t_time_sk->[cs_sold_time_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=() build RFs:RF4 sm_ship_mode_sk->[cs_ship_mode_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5 RF6 RF7
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(sm_carrier IN ('GREAT EASTERN', 'LATVIAN'))
+----------------------------------------------PhysicalOlapScan[ship_mode]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_year = 1998))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((cast(t_time as BIGINT) <= 77621) and (time_dim.t_time >= 48821))
+--------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query67.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query67.out
new file mode 100644
index 0000000000..66d43c102e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query67.out
@@ -0,0 +1,34 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_67 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------filter((rk <= 100))
+----------PhysicalWindow
+------------PhysicalPartitionTopN
+--------------PhysicalDistribute
+----------------PhysicalPartitionTopN
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_month_seq <= 1217) and (date_dim.d_month_seq >= 1206))
+--------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[item]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query68.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query68.out
new file mode 100644
index 0000000000..129724a5e4
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query68.out
@@ -0,0 +1,45 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_68 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = current_addr.ca_address_sk)) otherCondition=(( not (ca_city = bought_city))) build RFs:RF5 c_current_addr_sk->[ca_address_sk]
+------------PhysicalProject
+--------------PhysicalOlapScan[customer_address] apply RFs: RF5
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((dn.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF4 ss_customer_sk->[c_customer_sk]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer] apply RFs: RF4
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF3 ss_addr_sk->[ca_address_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[customer_address] apply RFs: RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[ss_hdemo_sk]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF1 s_store_sk->[ss_store_sk]
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((date_dim.d_dom <= 2) and (date_dim.d_dom >= 1) and d_year IN (1998, 1999, 2000))
+------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter(s_city IN ('Five Points', 'Pleasant Hill'))
+--------------------------------------------PhysicalOlapScan[store]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(((household_demographics.hd_dep_count = 8) OR (household_demographics.hd_vehicle_count = -1)))
+----------------------------------------PhysicalOlapScan[household_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query69.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query69.out
new file mode 100644
index 0000000000..ed02c0b02f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query69.out
@@ -0,0 +1,58 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_69 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((c.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=() build RFs:RF7 c_customer_sk->[ss_customer_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF6 RF7
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+--------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((c.c_customer_sk = catalog_sales.cs_ship_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[cs_ship_customer_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cs_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = c.c_current_cdemo_sk)) otherCondition=() build RFs:RF3 c_current_cdemo_sk->[cd_demo_sk]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF3
+----------------------------PhysicalDistribute
+------------------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((c.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF2 c_customer_sk->[ws_bill_customer_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1 RF2
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_moy <= 3) and (date_dim.d_moy >= 1) and (date_dim.d_year = 2000))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((c.c_current_addr_sk = ca.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[c_current_addr_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[customer] apply RFs: RF0
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter(ca_state IN ('MI', 'TX', 'VA'))
+------------------------------------------PhysicalOlapScan[customer_address]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query7.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query7.out
new file mode 100644
index 0000000000..d7b746ed2d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query7.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_7 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF2 p_promo_sk->[ss_promo_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_demographics.cd_education_status = 'College') and (customer_demographics.cd_gender = 'F') and (customer_demographics.cd_marital_status = 'W'))
+------------------------------------PhysicalOlapScan[customer_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_year = 2001))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((promotion.p_channel_email = 'N') OR (promotion.p_channel_event = 'N')))
+----------------------------PhysicalOlapScan[promotion]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query70.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query70.out
new file mode 100644
index 0000000000..ce544354bf
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query70.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_70 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF4 s_store_sk->[ss_store_sk]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF3 RF4
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((d1.d_month_seq <= 1224) and (d1.d_month_seq >= 1213))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((store.s_state = tmp1.s_state)) otherCondition=() build RFs:RF2 s_state->[s_state]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store] apply RFs: RF2
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((ranking <= 5))
+------------------------------------------PhysicalWindow
+--------------------------------------------PhysicalPartitionTopN
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalPartitionTopN
+--------------------------------------------------PhysicalProject
+----------------------------------------------------hashAgg[GLOBAL]
+------------------------------------------------------PhysicalDistribute
+--------------------------------------------------------hashAgg[LOCAL]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=()
+--------------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------------filter((date_dim.d_month_seq <= 1224) and (date_dim.d_month_seq >= 1213))
+----------------------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------------PhysicalProject
+------------------------------------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query71.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query71.out
new file mode 100644
index 0000000000..a689ad41e1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query71.out
@@ -0,0 +1,52 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_71 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((tmp.time_sk = time_dim.t_time_sk)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((tmp.sold_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 i_item_sk->[ws_item_sk,cs_item_sk,ss_item_sk]
+--------------------------PhysicalUnion
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF3
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+----------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF1
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+----------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((date_dim.d_moy = 12) and (date_dim.d_year = 1998))
+----------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((item.i_manager_id = 1))
+--------------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter(t_meal_time IN ('breakfast', 'dinner'))
+--------------------------PhysicalOlapScan[time_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query72.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query72.out
new file mode 100644
index 0000000000..934bcaa69f
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query72.out
@@ -0,0 +1,66 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_72 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((warehouse.w_warehouse_sk = inventory.inv_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = inventory.inv_item_sk) and (inventory.inv_date_sk = d2.d_date_sk)) otherCondition=((inventory.inv_quantity_on_hand < catalog_sales.cs_quantity)) build RFs:RF8 d_date_sk->[inv_date_sk];RF9 cs_item_sk->[inv_item_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalOlapScan[inventory] apply RFs: RF8 RF9
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_week_seq = d2.d_week_seq)) otherCondition=()
+----------------------------PhysicalDistribute
+------------------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((catalog_returns.cr_item_sk = catalog_sales.cs_item_sk) and (catalog_returns.cr_order_number = catalog_sales.cs_order_number)) otherCondition=() build RFs:RF5 cs_item_sk->[cr_item_sk];RF6 cs_order_number->[cr_order_number]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF5 RF6
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=()
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=()
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_date_sk = d3.d_date_sk)) otherCondition=((d3.d_date > cast((cast(d_date as BIGINT) + 5) as DATEV2)))
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF2 cd_demo_sk->[cs_bill_cdemo_sk]
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = d1.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+--------------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF0 hd_demo_sk->[cs_bill_hdemo_sk]
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1 RF2
+----------------------------------------------------------PhysicalDistribute
+------------------------------------------------------------PhysicalProject
+--------------------------------------------------------------filter((household_demographics.hd_buy_potential = '501-1000'))
+----------------------------------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------------------------------------PhysicalDistribute
+----------------------------------------------------------PhysicalProject
+------------------------------------------------------------filter((d1.d_year = 2002))
+--------------------------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF7
+----------------------------------------------------PhysicalDistribute
+------------------------------------------------------PhysicalProject
+--------------------------------------------------------filter((customer_demographics.cd_marital_status = 'W'))
+----------------------------------------------------------PhysicalOlapScan[customer_demographics]
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[item]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[promotion]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query73.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query73.out
new file mode 100644
index 0000000000..8ab062bf77
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query73.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_73 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((dj.ss_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 ss_customer_sk->[c_customer_sk]
+------------PhysicalProject
+--------------PhysicalOlapScan[customer] apply RFs: RF3
+------------PhysicalDistribute
+--------------filter((dj.cnt <= 5) and (dj.cnt >= 1))
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_dom <= 2) and (date_dim.d_dom >= 1) and d_year IN (2000, 2001, 2002))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((household_demographics.hd_vehicle_count > 0) and (if((hd_vehicle_count > 0), (cast(hd_dep_count as DOUBLE) / cast(hd_vehicle_count as DOUBLE)), NULL) > 1) and hd_buy_potential IN ('501-1000', 'Unknown'))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(s_county IN ('Barrow County', 'Daviess County', 'Fairfield County', 'Walker County'))
+--------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query74.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query74.out
new file mode 100644
index 0000000000..42cd64da95
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query74.out
@@ -0,0 +1,64 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_74 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalUnion
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = store_sales.ss_customer_sk)) otherCondition=()
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1999, 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+------PhysicalProject
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer.c_customer_sk = web_sales.ws_bill_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ws_bill_customer_sk]
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_sold_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(d_year IN (1999, 2000))
+----------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[customer]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_firstyear.customer_id)) otherCondition=((if((year_total > 0), (year_total / year_total), NULL) > if((year_total > 0), (year_total / year_total), NULL)))
+--------------hashJoin[INNER_JOIN] hashCondition=((t_s_firstyear.customer_id = t_w_secyear.customer_id)) otherCondition=()
+----------------hashJoin[INNER_JOIN] hashCondition=((t_s_secyear.customer_id = t_s_firstyear.customer_id)) otherCondition=()
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_s_firstyear.sale_type = 's') and (t_s_firstyear.year = 1999) and (t_s_firstyear.year_total > 0))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((t_s_secyear.sale_type = 's') and (t_s_secyear.year = 2000))
+------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((t_w_secyear.sale_type = 'w') and (t_w_secyear.year = 2000))
+----------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------PhysicalProject
+------------------filter((t_w_firstyear.sale_type = 'w') and (t_w_firstyear.year = 1999) and (t_w_firstyear.year_total > 0))
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query75.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query75.out
new file mode 100644
index 0000000000..6bf1c9b168
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query75.out
@@ -0,0 +1,81 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_75 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----hashAgg[GLOBAL]
+------PhysicalDistribute
+--------hashAgg[LOCAL]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalUnion
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=() build RFs:RF2 cs_order_number->[cr_order_number];RF3 cs_item_sk->[cr_item_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF2 RF3
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = catalog_sales.cs_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = catalog_sales.cs_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[cs_item_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0 RF1
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (1998, 1999))
+----------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF6 ss_ticket_number->[sr_ticket_number];RF7 ss_item_sk->[sr_item_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_returns] apply RFs: RF6 RF7
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = store_sales.ss_sold_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = store_sales.ss_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[ss_item_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF4 RF5
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (1998, 1999))
+----------------------------------PhysicalOlapScan[date_dim]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF10 ws_order_number->[wr_order_number];RF11 ws_item_sk->[wr_item_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_returns] apply RFs: RF10 RF11
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF9 d_date_sk->[ws_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF8 i_item_sk->[ws_item_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((item.i_category = 'Home'))
+--------------------------------------PhysicalOlapScan[item]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(d_year IN (1998, 1999))
+----------------------------------PhysicalOlapScan[date_dim]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((curr_yr.i_brand_id = prev_yr.i_brand_id) and (curr_yr.i_category_id = prev_yr.i_category_id) and (curr_yr.i_class_id = prev_yr.i_class_id) and (curr_yr.i_manufact_id = prev_yr.i_manufact_id)) otherCondition=(((cast(cast(sales_cnt as DECIMALV3(17, 2)) as DECIMALV3(23, 8)) / cast(sales_cnt as DECIMALV3(17, 2))) < 0.900000))
+--------------PhysicalDistribute
+----------------filter((curr_yr.d_year = 1999))
+------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+--------------PhysicalDistribute
+----------------filter((prev_yr.d_year = 1998))
+------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query76.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query76.out
new file mode 100644
index 0000000000..5567aaabc6
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query76.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_76 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalUnion
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=()
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------filter(ss_hdemo_sk IS NULL)
+------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF3 d_date_sk->[ws_sold_date_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ws_item_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(ws_bill_addr_sk IS NULL)
+------------------------------PhysicalOlapScan[web_sales] apply RFs: RF2 RF3
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF4 i_item_sk->[cs_item_sk]
+--------------------------PhysicalProject
+----------------------------filter(cs_warehouse_sk IS NULL)
+------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query77.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query77.out
new file mode 100644
index 0000000000..abe938dcd8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query77.out
@@ -0,0 +1,111 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_77 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ss.s_store_sk = sr.s_store_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_store_sk = store.s_store_sk)) otherCondition=()
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[sr_returned_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[store]
+--------------------PhysicalProject
+----------------------NestedLoopJoin[CROSS_JOIN]
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF5 d_date_sk->[cs_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF5
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+------------------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[cr_returned_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------PhysicalProject
+----------------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ws.wp_web_page_sk = wr.wp_web_page_sk)) otherCondition=()
+------------------------PhysicalProject
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF9 wp_web_page_sk->[ws_web_page_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF8 d_date_sk->[ws_sold_date_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF8 RF9
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+----------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_page]
+------------------------PhysicalProject
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF7 wp_web_page_sk->[wr_web_page_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[wr_returned_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF6 RF7
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((date_dim.d_date <= '1998-09-04') and (date_dim.d_date >= '1998-08-05'))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_page]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query78.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query78.out
new file mode 100644
index 0000000000..730493d316
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query78.out
@@ -0,0 +1,57 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_78 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------filter(((coalesce(ws_qty, 0) > 0) OR (coalesce(cs_qty, 0) > 0)))
+------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((cs.cs_customer_sk = ss.ss_customer_sk) and (cs.cs_item_sk = ss.ss_item_sk) and (cs.cs_sold_year = ss.ss_sold_year)) otherCondition=()
+--------------PhysicalProject
+----------------hashJoin[LEFT_OUTER_JOIN] hashCondition=((ws.ws_customer_sk = ss.ss_customer_sk) and (ws.ws_item_sk = ss.ss_item_sk) and (ws.ws_sold_year = ss.ss_sold_year)) otherCondition=()
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((store_returns.sr_ticket_number = store_sales.ss_ticket_number) and (store_sales.ss_item_sk = store_returns.sr_item_sk)) otherCondition=()
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_year = 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_returns]
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((web_returns.wr_order_number = web_sales.ws_order_number) and (web_sales.ws_item_sk = web_returns.wr_item_sk)) otherCondition=()
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_year = 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_returns]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[LEFT_ANTI_JOIN] hashCondition=((catalog_returns.cr_order_number = catalog_sales.cs_order_number) and (catalog_sales.cs_item_sk = catalog_returns.cr_item_sk)) otherCondition=()
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_year = 2000))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_returns]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query79.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query79.out
new file mode 100644
index 0000000000..2487900aac
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query79.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_79 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((ms.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((date_dim.d_dow = 1) and d_year IN (1998, 1999, 2000))
+--------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((household_demographics.hd_dep_count = 5) OR (household_demographics.hd_vehicle_count > 4)))
+----------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((store.s_number_employees <= 295) and (store.s_number_employees >= 200))
+--------------------------------PhysicalOlapScan[store]
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query8.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query8.out
new file mode 100644
index 0000000000..192541e875
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query8.out
@@ -0,0 +1,46 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_8 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((expr_substring(s_zip, 1, 2) = expr_substring(ca_zip, 1, 2))) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_qoy = 2) and (date_dim.d_year = 1998))
+--------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalIntersect
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(substring(ca_zip, 1, 5) IN ('10298', '10374', '10425', '11340', '11489', '11618', '11652', '11686', '11855', '11912', '12197', '12318', '12320', '12350', '13086', '13123', '13261', '13338', '13376', '13378', '13443', '13844', '13869', '13918', '14073', '14155', '14196', '14242', '14312', '14440', '14530', '14851', '15371', '15475', '15543', '15734', '15751', '15782', '15794', '16005', '16226', '16364', '16515', '16704', '16791', '16891', '17167', '17193', '17291', '17672', '17819', '17879', '17895', '18218', '18360', '18367', '18410', '18421', '18434', '18569', '18700', '18767', '18829', '18884', '19326', '19444', '19489', '19753', '19833', '19988', '20244', '20317', '20534', '20601', '20712', '21060', '21094', '21204', '21231', '21343', '21727', '21800', '21814', '22728', '22815', '22911', '23065', '23952', '24227', '24255', '24286', '24594', '24660', '24891', '24987', '25115', '25178', '25214', '25264', '25333', '25494', '25717', '25973', '26217', '26689', '27052', '27116', '27156', '27287', '27369', '27385', '27413', '27642', '27700', '28055', '28239', '28571', '28577', '28810', '29086', '29392', '29450', '29752', '29818', '30106', '30415', '30621', '31013', '31016', '31655', '31830', '32489', '32669', '32754', '32919', '32958', '32961', '33113', '33122', '33159', '33467', '33562', '33773', '33869', '34306', '34473', '34594', '34948', '34972', '35076', '35390', '35834', '35863', '35926', '36201', '36335', '36430', '36479', '37119', '37788', '37914', '38353', '38607', '38919', '39214', '39459', '39500', '39503', '40146', '40936', '40979', '41162', '41232', '41255', '41331', '41351', '41352', '41419', '41807', '41836', '41967', '42361', '43432', '43639', '43830', '43933', '44529', '45266', '45484', '45533', '45645', '45676', '45859', '46081', '46131', '46507', '47289', '47369', '47529', '47602', '47770', '48017', '48162', '48333', '48530', '48567', '49101', '49130', '49140', '49211', '49230', '49254', '49472', '50412', '50632', '50636', '50679', '50788', '51089', '51184', '51195', '51634', '51717', '51766', '51782', '51793', '51933', '52094', '52301', '52389', '52868', '53163', '53535', '53565', '54010', '54207', '54364', '54558', '54585', '55233', '55349', '56224', '56355', '56436', '56455', '56600', '56877', '57025', '57553', '57631', '57649', '57839', '58032', '58058', '58062', '58117', '58218', '58412', '58454', '58581', '59004', '59080', '59130', '59226', '59345', '59386', '59494', '59852', '60083', '60298', '60560', '60624', '60736', '61527', '61794', '61860', '61997', '62361', '62585', '62878', '63073', '63180', '63193', '63294', '63792', '63991', '64592', '65148', '65177', '65501', '66057', '66943', '67881', '67975', '67998', '68101', '68293', '68341', '68605', '68730', '68770', '68843', '68852', '68908', '69280', '69952', '69998', '70041', '70070', '70073', '70450', '71144', '71256', '71286', '71836', '71948', '71954', '71997', '72592', '72991', '73021', '73108', '73134', '73146', '73219', '73873', '74686', '75660', '75675', '75742', '75752', '77454', '77817', '78093', '78366', '79077', '79658', '80332', '80846', '81003', '81070', '81084', '81335', '81504', '81755', '81963', '82080', '82602', '82620', '83041', '83086', '83583', '83647', '83833', '83910', '83986', '84247', '84680', '84844', '84919', '85066', '85761', '86057', '86379', '86709', '88086', '88137', '88217', '89193', '89338', '90209', '90229', '90669', '91110', '91894', '92292', '92380', '92645', '92696', '93498', '94791', '94835', '94898', '95042', '95430', '95464', '95694', '96435', '96560', '97173', '97462', '98069', '98072', '98338', '98533', '98569', '98584', '98862', '99060', '99132'))
+------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((cnt > 10))
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF0 c_current_addr_sk->[ca_address_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[customer_address] apply RFs: RF0
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((customer.c_preferred_cust_flag = 'Y'))
+----------------------------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query80.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query80.out
new file mode 100644
index 0000000000..d9c8ae19bc
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query80.out
@@ -0,0 +1,116 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_80 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalRepeat
+------------------PhysicalUnion
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((store_sales.ss_item_sk = store_returns.sr_item_sk) and (store_sales.ss_ticket_number = store_returns.sr_ticket_number)) otherCondition=() build RFs:RF4 ss_item_sk->[sr_item_sk];RF5 ss_ticket_number->[sr_ticket_number]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_returns] apply RFs: RF4 RF5
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF2 p_promo_sk->[ss_promo_sk]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------------------------PhysicalProject
+--------------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((item.i_current_price > 50.00))
+--------------------------------------------------PhysicalOlapScan[item]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((promotion.p_channel_tv = 'N'))
+----------------------------------------------PhysicalOlapScan[promotion]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_catalog_page_sk = catalog_page.cp_catalog_page_sk)) otherCondition=() build RFs:RF11 cp_catalog_page_sk->[cs_catalog_page_sk]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) and (catalog_sales.cs_order_number = catalog_returns.cr_order_number)) otherCondition=() build RFs:RF9 cs_item_sk->[cr_item_sk];RF10 cs_order_number->[cr_order_number]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF9 RF10
+--------------------------------------PhysicalDistribute
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF8 p_promo_sk->[cs_promo_sk]
+------------------------------------------PhysicalProject
+--------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[cs_item_sk]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[cs_sold_date_sk]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF6 RF7 RF8 RF11
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+--------------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------------------------PhysicalDistribute
+------------------------------------------------PhysicalProject
+--------------------------------------------------filter((item.i_current_price > 50.00))
+----------------------------------------------------PhysicalOlapScan[item]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((promotion.p_channel_tv = 'N'))
+------------------------------------------------PhysicalOlapScan[promotion]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[catalog_page]
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[RIGHT_OUTER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF16 ws_item_sk->[wr_item_sk];RF17 ws_order_number->[wr_order_number]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF16 RF17
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF15 web_site_sk->[ws_web_site_sk]
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_promo_sk = promotion.p_promo_sk)) otherCondition=() build RFs:RF14 p_promo_sk->[ws_promo_sk]
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF13 i_item_sk->[ws_item_sk]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF12 d_date_sk->[ws_sold_date_sk]
+------------------------------------------------PhysicalProject
+--------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF12 RF13 RF14 RF15
+------------------------------------------------PhysicalDistribute
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter((date_dim.d_date <= '1998-09-27') and (date_dim.d_date >= '1998-08-28'))
+------------------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter((item.i_current_price > 50.00))
+--------------------------------------------------PhysicalOlapScan[item]
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter((promotion.p_channel_tv = 'N'))
+----------------------------------------------PhysicalOlapScan[promotion]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query81.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query81.out
new file mode 100644
index 0000000000..1ce35ce1e8
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query81.out
@@ -0,0 +1,48 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_81 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returning_addr_sk = customer_address.ca_address_sk)) otherCondition=()
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cr_returned_date_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF0
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((date_dim.d_year = 2002))
+----------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_address]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_state = ctr2.ctr_state)) otherCondition=((cast(ctr_total_return as DOUBLE) > cast((avg(cast(ctr_total_return as DECIMALV3(38, 4))) * 1.2) as DOUBLE)))
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((ctr1.ctr_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[ctr_customer_sk]
+------------------PhysicalDistribute
+--------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+------------------PhysicalDistribute
+--------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF2 ca_address_sk->[c_current_addr_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[customer] apply RFs: RF2
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((customer_address.ca_state = 'CA'))
+----------------------------PhysicalOlapScan[customer_address]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query82.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query82.out
new file mode 100644
index 0000000000..1e05dc2e4c
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query82.out
@@ -0,0 +1,30 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_82 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF2 i_item_sk->[ss_item_sk]
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF2
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = inventory.inv_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[inv_date_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((inventory.inv_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[inv_item_sk]
+----------------------------PhysicalProject
+------------------------------filter((inventory.inv_quantity_on_hand <= 500) and (inventory.inv_quantity_on_hand >= 100))
+--------------------------------PhysicalOlapScan[inventory] apply RFs: RF0 RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((item.i_current_price <= 47.00) and (item.i_current_price >= 17.00) and i_manufact_id IN (138, 169, 339, 639))
+----------------------------------PhysicalOlapScan[item]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((date_dim.d_date <= '1999-09-07') and (date_dim.d_date >= '1999-07-09'))
+------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query83.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query83.out
new file mode 100644
index 0000000000..0ab5a380ee
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query83.out
@@ -0,0 +1,90 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_83 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------hashJoin[INNER_JOIN] hashCondition=((sr_items.item_id = cr_items.item_id)) otherCondition=() build RFs:RF13 item_id->[i_item_id]
+--------------PhysicalProject
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF12 cr_item_sk->[i_item_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[item] apply RFs: RF12 RF13
+--------------------------PhysicalDistribute
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF11 d_date_sk->[cr_returned_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF11
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF10 d_date->[d_date]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF10
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF9 d_week_seq->[d_week_seq]
+------------------------------------------PhysicalProject
+--------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF9
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+------------------------------------------------PhysicalOlapScan[date_dim]
+--------------hashJoin[INNER_JOIN] hashCondition=((sr_items.item_id = wr_items.item_id)) otherCondition=() build RFs:RF8 item_id->[i_item_id]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF7 i_item_sk->[sr_item_sk]
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF6 d_date_sk->[sr_returned_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_returns] apply RFs: RF6 RF7
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF5 d_date->[d_date]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF5
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF4 d_week_seq->[d_week_seq]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF4
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[item] apply RFs: RF8
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF3 wr_item_sk->[i_item_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[item] apply RFs: RF3
+----------------------------PhysicalDistribute
+------------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[wr_returned_date_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_returns] apply RFs: RF2
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_date = date_dim.d_date)) otherCondition=() build RFs:RF1 d_date->[d_date]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF1
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------hashJoin[LEFT_SEMI_JOIN] hashCondition=((date_dim.d_week_seq = date_dim.d_week_seq)) otherCondition=() build RFs:RF0 d_week_seq->[d_week_seq]
+--------------------------------------------PhysicalProject
+----------------------------------------------PhysicalOlapScan[date_dim] apply RFs: RF0
+--------------------------------------------PhysicalDistribute
+----------------------------------------------PhysicalProject
+------------------------------------------------filter(d_date IN ('2001-06-06', '2001-09-02', '2001-11-11'))
+--------------------------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query84.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query84.out
new file mode 100644
index 0000000000..a7be299091
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query84.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_84 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_cdemo_sk = customer_demographics.cd_demo_sk)) otherCondition=() build RFs:RF4 cd_demo_sk->[sr_cdemo_sk]
+------------PhysicalProject
+--------------PhysicalOlapScan[store_returns] apply RFs: RF4
+------------PhysicalDistribute
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk)) otherCondition=() build RFs:RF3 c_current_cdemo_sk->[cd_demo_sk]
+------------------PhysicalProject
+--------------------PhysicalOlapScan[customer_demographics] apply RFs: RF3
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((household_demographics.hd_demo_sk = customer.c_current_hdemo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[c_current_hdemo_sk]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((customer.c_current_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF1 ca_address_sk->[c_current_addr_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[customer] apply RFs: RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_address.ca_city = 'Oakwood'))
+------------------------------------PhysicalOlapScan[customer_address]
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((income_band.ib_income_band_sk = household_demographics.hd_income_band_sk)) otherCondition=() build RFs:RF0 ib_income_band_sk->[hd_income_band_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[household_demographics] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((cast(ib_upper_bound as BIGINT) <= 55806) and (income_band.ib_lower_bound >= 5806))
+----------------------------------PhysicalOlapScan[income_band]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query85.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query85.out
new file mode 100644
index 0000000000..00b8df1a1b
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query85.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_85 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((reason.r_reason_sk = web_returns.wr_reason_sk)) otherCondition=()
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=()
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((cd1.cd_education_status = cd2.cd_education_status) and (cd1.cd_marital_status = cd2.cd_marital_status) and (cd2.cd_demo_sk = web_returns.wr_returning_cdemo_sk)) otherCondition=() build RFs:RF5 cd_marital_status->[cd_marital_status];RF6 cd_education_status->[cd_education_status];RF7 wr_returning_cdemo_sk->[cd_demo_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF5 RF6 RF7
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((cd1.cd_demo_sk = web_returns.wr_refunded_cdemo_sk)) otherCondition=((((((cd1.cd_marital_status = 'M') AND (cd1.cd_education_status = '4 yr Degree')) AND ((web_sales.ws_sales_price >= 100.00) AND (web_sales.ws_sales_price <= 150.00))) OR (((cd1.cd_marital_status = 'S') AND (cd1.cd_education_status = 'Secondary')) AND ((web_sales.ws_sales_price >= 50.00) AND (web_sales.ws_sales_price <= 100.00)))) OR (((cd1.cd_marital_status = 'W') AND (cd1.cd_education_status = 'Advanced Degree')) AND ((web_sales.ws_sales_price >= 150.00) AND (web_sales.ws_sales_price <= 200.00))))) build RFs:RF4 wr_refunded_cdemo_sk->[cd_demo_sk]
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter(((((cd1.cd_marital_status = 'M') AND (cd1.cd_education_status = '4 yr Degree')) OR ((cd1.cd_marital_status = 'S') AND (cd1.cd_education_status = 'Secondary'))) OR ((cd1.cd_marital_status = 'W') AND (cd1.cd_education_status = 'Advanced Degree'))))
+--------------------------------------------PhysicalOlapScan[customer_demographics] apply RFs: RF4
+--------------------------------------PhysicalDistribute
+----------------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = web_returns.wr_refunded_addr_sk)) otherCondition=((((ca_state IN ('DE', 'FL', 'TX') AND ((web_sales.ws_net_profit >= 100.00) AND (web_sales.ws_net_profit <= 200.00))) OR (ca_state IN ('ID', 'IN', 'ND') AND ((web_sales.ws_net_profit >= 150.00) AND (web_sales.ws_net_profit <= 300.00)))) OR (ca_state IN ('IL', 'MT', 'OH') AND ((web_sales.ws_net_profit >= 50.00) AND (web_sales.ws_net_profit <= 250.00))))) build RFs:RF3 ca_address_sk->[wr_refunded_addr_sk]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_item_sk = web_returns.wr_item_sk) and (web_sales.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF1 ws_item_sk->[wr_item_sk];RF2 ws_order_number->[wr_order_number]
+------------------------------------------------PhysicalProject
+--------------------------------------------------PhysicalOlapScan[web_returns] apply RFs: RF1 RF2 RF3
+------------------------------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------------------PhysicalProject
+----------------------------------------------------filter(((((web_sales.ws_net_profit >= 100.00) AND (web_sales.ws_net_profit <= 200.00)) OR ((web_sales.ws_net_profit >= 150.00) AND (web_sales.ws_net_profit <= 300.00))) OR ((web_sales.ws_net_profit >= 50.00) AND (web_sales.ws_net_profit <= 250.00))) and ((((web_sales.ws_sales_price >= 100.00) AND (web_sales.ws_sales_price <= 150.00)) OR ((web_sales.ws_sales_price >= 50.00) AND (web_sales.ws_sales_price <= 100.00))) OR ((web_sales.ws_sales_price >= 150.00) AND (web_sales.ws_sales_price <= 200.00))))
+------------------------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------------------------------PhysicalDistribute
+----------------------------------------------------PhysicalProject
+------------------------------------------------------filter((date_dim.d_year = 2000))
+--------------------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------------------PhysicalDistribute
+--------------------------------------------PhysicalProject
+----------------------------------------------filter(((ca_state IN ('DE', 'FL', 'TX') OR ca_state IN ('ID', 'IN', 'ND')) OR ca_state IN ('IL', 'MT', 'OH')) and (customer_address.ca_country = 'United States'))
+------------------------------------------------PhysicalOlapScan[customer_address]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_page]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[reason]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query86.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query86.out
new file mode 100644
index 0000000000..7867bb396e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query86.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_86 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------PhysicalWindow
+--------------PhysicalQuickSort[LOCAL_SORT]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalRepeat
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=()
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------hashJoin[INNER_JOIN] hashCondition=((d1.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ws_sold_date_sk]
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0
+--------------------------------------PhysicalDistribute
+----------------------------------------PhysicalProject
+------------------------------------------filter((d1.d_month_seq <= 1235) and (d1.d_month_seq >= 1224))
+--------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query87.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query87.out
new file mode 100644
index 0000000000..b30f16e13a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query87.out
@@ -0,0 +1,60 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_87 --
+PhysicalResultSink
+--hashAgg[GLOBAL]
+----PhysicalDistribute
+------hashAgg[LOCAL]
+--------PhysicalProject
+----------PhysicalExcept
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_customer_sk = customer.c_customer_sk)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[cs_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF2 RF3
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_bill_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF5 c_customer_sk->[ws_bill_customer_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF4 d_date_sk->[ws_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_sales] apply RFs: RF4 RF5
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1195) and (date_dim.d_month_seq >= 1184))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[customer]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query88.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query88.out
new file mode 100644
index 0000000000..71b7c40ab2
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query88.out
@@ -0,0 +1,195 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_88 --
+PhysicalResultSink
+--PhysicalProject
+----NestedLoopJoin[CROSS_JOIN]
+------NestedLoopJoin[CROSS_JOIN]
+--------NestedLoopJoin[CROSS_JOIN]
+----------NestedLoopJoin[CROSS_JOIN]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------NestedLoopJoin[CROSS_JOIN]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF23 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF22 hd_demo_sk->[ss_hdemo_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF21 t_time_sk->[ss_sold_time_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF21 RF22 RF23
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((time_dim.t_hour = 8) and (time_dim.t_minute >= 30))
+----------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((store.s_store_name = 'ese'))
+----------------------------------PhysicalOlapScan[store]
+------------------PhysicalDistribute
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF20 s_store_sk->[ss_store_sk]
+------------------------------PhysicalProject
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF19 hd_demo_sk->[ss_hdemo_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF18 t_time_sk->[ss_sold_time_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF18 RF19 RF20
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((time_dim.t_hour = 9) and (time_dim.t_minute < 30))
+------------------------------------------PhysicalOlapScan[time_dim]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------------------PhysicalOlapScan[household_demographics]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((store.s_store_name = 'ese'))
+------------------------------------PhysicalOlapScan[store]
+----------------PhysicalDistribute
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF17 s_store_sk->[ss_store_sk]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF16 hd_demo_sk->[ss_hdemo_sk]
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF15 t_time_sk->[ss_sold_time_sk]
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF15 RF16 RF17
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((time_dim.t_hour = 9) and (time_dim.t_minute >= 30))
+----------------------------------------PhysicalOlapScan[time_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------------PhysicalOlapScan[household_demographics]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((store.s_store_name = 'ese'))
+----------------------------------PhysicalOlapScan[store]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF14 s_store_sk->[ss_store_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF13 hd_demo_sk->[ss_hdemo_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF12 t_time_sk->[ss_sold_time_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[store_sales] apply RFs: RF12 RF13 RF14
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((time_dim.t_hour = 10) and (time_dim.t_minute < 30))
+--------------------------------------PhysicalOlapScan[time_dim]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((store.s_store_name = 'ese'))
+--------------------------------PhysicalOlapScan[store]
+------------PhysicalDistribute
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF11 s_store_sk->[ss_store_sk]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF10 hd_demo_sk->[ss_hdemo_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF9 t_time_sk->[ss_sold_time_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF9 RF10 RF11
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((time_dim.t_hour = 10) and (time_dim.t_minute >= 30))
+------------------------------------PhysicalOlapScan[time_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------------PhysicalOlapScan[household_demographics]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((store.s_store_name = 'ese'))
+------------------------------PhysicalOlapScan[store]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF8 s_store_sk->[ss_store_sk]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF7 hd_demo_sk->[ss_hdemo_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF6 t_time_sk->[ss_sold_time_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF6 RF7 RF8
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((time_dim.t_hour = 11) and (time_dim.t_minute < 30))
+----------------------------------PhysicalOlapScan[time_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+--------------------------------PhysicalOlapScan[household_demographics]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((store.s_store_name = 'ese'))
+----------------------------PhysicalOlapScan[store]
+--------PhysicalDistribute
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF5 s_store_sk->[ss_store_sk]
+--------------------PhysicalProject
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF4 hd_demo_sk->[ss_hdemo_sk]
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF3 t_time_sk->[ss_sold_time_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF3 RF4 RF5
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((time_dim.t_hour = 11) and (time_dim.t_minute >= 30))
+--------------------------------PhysicalOlapScan[time_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+------------------------------PhysicalOlapScan[household_demographics]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((store.s_store_name = 'ese'))
+--------------------------PhysicalOlapScan[store]
+------PhysicalDistribute
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+----------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF0 t_time_sk->[ss_sold_time_sk]
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------filter((time_dim.t_hour = 12) and (time_dim.t_minute < 30))
+------------------------------PhysicalOlapScan[time_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter(((((household_demographics.hd_dep_count = -1) AND (household_demographics.hd_vehicle_count <= 1)) OR ((household_demographics.hd_dep_count = 4) AND (household_demographics.hd_vehicle_count <= 6))) OR ((household_demographics.hd_dep_count = 3) AND (household_demographics.hd_vehicle_count <= 5))))
+----------------------------PhysicalOlapScan[household_demographics]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------filter((store.s_store_name = 'ese'))
+------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query89.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query89.out
new file mode 100644
index 0000000000..d84b39a38a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query89.out
@@ -0,0 +1,36 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_89 --
+PhysicalResultSink
+--PhysicalProject
+----PhysicalTopN[MERGE_SORT]
+------PhysicalDistribute
+--------PhysicalTopN[LOCAL_SORT]
+----------PhysicalProject
+------------filter((if(( not (avg_monthly_sales = 0.0000)), (abs((cast(sum_sales as DOUBLE) - cast(avg_monthly_sales as DOUBLE))) / cast(avg_monthly_sales as DOUBLE)), NULL) > 0.1))
+--------------PhysicalWindow
+----------------PhysicalQuickSort[LOCAL_SORT]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=()
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ss_item_sk]
+----------------------------------------PhysicalProject
+------------------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+----------------------------------------PhysicalDistribute
+------------------------------------------PhysicalProject
+--------------------------------------------filter(((i_category IN ('Electronics', 'Jewelry', 'Shoes') AND i_class IN ('athletic', 'portable', 'semi-precious')) OR (i_category IN ('Men', 'Music', 'Women') AND i_class IN ('accessories', 'maternity', 'rock'))))
+----------------------------------------------PhysicalOlapScan[item]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_year = 1999))
+------------------------------------------PhysicalOlapScan[date_dim]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query9.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query9.out
new file mode 100644
index 0000000000..5a9ea20b70
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query9.out
@@ -0,0 +1,144 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_9 --
+PhysicalResultSink
+--PhysicalProject
+----NestedLoopJoin[CROSS_JOIN]
+------NestedLoopJoin[CROSS_JOIN]
+--------NestedLoopJoin[CROSS_JOIN]
+----------NestedLoopJoin[CROSS_JOIN]
+------------NestedLoopJoin[CROSS_JOIN]
+--------------NestedLoopJoin[CROSS_JOIN]
+----------------NestedLoopJoin[CROSS_JOIN]
+------------------NestedLoopJoin[CROSS_JOIN]
+--------------------NestedLoopJoin[CROSS_JOIN]
+----------------------NestedLoopJoin[CROSS_JOIN]
+------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------NestedLoopJoin[CROSS_JOIN]
+----------------------------NestedLoopJoin[CROSS_JOIN]
+------------------------------NestedLoopJoin[CROSS_JOIN]
+--------------------------------PhysicalProject
+----------------------------------NestedLoopJoin[CROSS_JOIN]
+------------------------------------PhysicalAssertNumRows
+--------------------------------------hashAgg[GLOBAL]
+----------------------------------------PhysicalDistribute
+------------------------------------------hashAgg[LOCAL]
+--------------------------------------------PhysicalProject
+----------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+------------------------------------------------PhysicalOlapScan[store_sales]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((reason.r_reason_sk = 1))
+------------------------------------------PhysicalOlapScan[reason]
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalAssertNumRows
+------------------------------------hashAgg[GLOBAL]
+--------------------------------------PhysicalDistribute
+----------------------------------------hashAgg[LOCAL]
+------------------------------------------PhysicalProject
+--------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+----------------------------------------------PhysicalOlapScan[store_sales]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalAssertNumRows
+----------------------------------hashAgg[GLOBAL]
+------------------------------------PhysicalDistribute
+--------------------------------------hashAgg[LOCAL]
+----------------------------------------PhysicalProject
+------------------------------------------filter((store_sales.ss_quantity <= 20) and (store_sales.ss_quantity >= 1))
+--------------------------------------------PhysicalOlapScan[store_sales]
+----------------------------PhysicalDistribute
+------------------------------PhysicalAssertNumRows
+--------------------------------hashAgg[GLOBAL]
+----------------------------------PhysicalDistribute
+------------------------------------hashAgg[LOCAL]
+--------------------------------------PhysicalProject
+----------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+------------------------------------------PhysicalOlapScan[store_sales]
+--------------------------PhysicalDistribute
+----------------------------PhysicalAssertNumRows
+------------------------------hashAgg[GLOBAL]
+--------------------------------PhysicalDistribute
+----------------------------------hashAgg[LOCAL]
+------------------------------------PhysicalProject
+--------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+----------------------------------------PhysicalOlapScan[store_sales]
+------------------------PhysicalDistribute
+--------------------------PhysicalAssertNumRows
+----------------------------hashAgg[GLOBAL]
+------------------------------PhysicalDistribute
+--------------------------------hashAgg[LOCAL]
+----------------------------------PhysicalProject
+------------------------------------filter((store_sales.ss_quantity <= 40) and (store_sales.ss_quantity >= 21))
+--------------------------------------PhysicalOlapScan[store_sales]
+----------------------PhysicalDistribute
+------------------------PhysicalAssertNumRows
+--------------------------hashAgg[GLOBAL]
+----------------------------PhysicalDistribute
+------------------------------hashAgg[LOCAL]
+--------------------------------PhysicalProject
+----------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+------------------------------------PhysicalOlapScan[store_sales]
+--------------------PhysicalDistribute
+----------------------PhysicalAssertNumRows
+------------------------hashAgg[GLOBAL]
+--------------------------PhysicalDistribute
+----------------------------hashAgg[LOCAL]
+------------------------------PhysicalProject
+--------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+----------------------------------PhysicalOlapScan[store_sales]
+------------------PhysicalDistribute
+--------------------PhysicalAssertNumRows
+----------------------hashAgg[GLOBAL]
+------------------------PhysicalDistribute
+--------------------------hashAgg[LOCAL]
+----------------------------PhysicalProject
+------------------------------filter((store_sales.ss_quantity <= 60) and (store_sales.ss_quantity >= 41))
+--------------------------------PhysicalOlapScan[store_sales]
+----------------PhysicalDistribute
+------------------PhysicalAssertNumRows
+--------------------hashAgg[GLOBAL]
+----------------------PhysicalDistribute
+------------------------hashAgg[LOCAL]
+--------------------------PhysicalProject
+----------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+------------------------------PhysicalOlapScan[store_sales]
+--------------PhysicalDistribute
+----------------PhysicalAssertNumRows
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+----------------------------PhysicalOlapScan[store_sales]
+------------PhysicalDistribute
+--------------PhysicalAssertNumRows
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------filter((store_sales.ss_quantity <= 80) and (store_sales.ss_quantity >= 61))
+--------------------------PhysicalOlapScan[store_sales]
+----------PhysicalDistribute
+------------PhysicalAssertNumRows
+--------------hashAgg[GLOBAL]
+----------------PhysicalDistribute
+------------------hashAgg[LOCAL]
+--------------------PhysicalProject
+----------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+------------------------PhysicalOlapScan[store_sales]
+--------PhysicalDistribute
+----------PhysicalAssertNumRows
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+----------------------PhysicalOlapScan[store_sales]
+------PhysicalDistribute
+--------PhysicalAssertNumRows
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------filter((store_sales.ss_quantity <= 100) and (store_sales.ss_quantity >= 81))
+--------------------PhysicalOlapScan[store_sales]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query90.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query90.out
new file mode 100644
index 0000000000..869ed41d6d
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query90.out
@@ -0,0 +1,55 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_90 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------PhysicalProject
+--------NestedLoopJoin[CROSS_JOIN]
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF5 hd_demo_sk->[ws_ship_hdemo_sk]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF4 t_time_sk->[ws_sold_time_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF3 wp_web_page_sk->[ws_web_page_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[web_sales] apply RFs: RF3 RF4 RF5
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((web_page.wp_char_count <= 5200) and (web_page.wp_char_count >= 5000))
+----------------------------------PhysicalOlapScan[web_page]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((time_dim.t_hour <= 11) and (time_dim.t_hour >= 10))
+--------------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((household_demographics.hd_dep_count = 2))
+--------------------------PhysicalOlapScan[household_demographics]
+----------PhysicalDistribute
+------------hashAgg[GLOBAL]
+--------------PhysicalDistribute
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_ship_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF2 hd_demo_sk->[ws_ship_hdemo_sk]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF1 t_time_sk->[ws_sold_time_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((web_sales.ws_web_page_sk = web_page.wp_web_page_sk)) otherCondition=() build RFs:RF0 wp_web_page_sk->[ws_web_page_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((web_page.wp_char_count <= 5200) and (web_page.wp_char_count >= 5000))
+------------------------------------PhysicalOlapScan[web_page]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((time_dim.t_hour <= 17) and (time_dim.t_hour >= 16))
+----------------------------------PhysicalOlapScan[time_dim]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((household_demographics.hd_dep_count = 2))
+----------------------------PhysicalOlapScan[household_demographics]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query91.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query91.out
new file mode 100644
index 0000000000..093e912db1
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query91.out
@@ -0,0 +1,47 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_91 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------hashAgg[GLOBAL]
+------------PhysicalDistribute
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((customer_address.ca_address_sk = customer.c_current_addr_sk)) otherCondition=() build RFs:RF5 c_current_addr_sk->[ca_address_sk]
+--------------------PhysicalProject
+----------------------filter((customer_address.ca_gmt_offset = -6.00))
+------------------------PhysicalOlapScan[customer_address] apply RFs: RF5
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_call_center_sk = call_center.cc_call_center_sk)) otherCondition=()
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returning_customer_sk = customer.c_customer_sk)) otherCondition=() build RFs:RF3 c_customer_sk->[cr_returning_customer_sk]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_returns.cr_returned_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[cr_returned_date_sk]
+------------------------------------PhysicalProject
+--------------------------------------PhysicalOlapScan[catalog_returns] apply RFs: RF2 RF3
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((date_dim.d_moy = 11) and (date_dim.d_year = 2001))
+------------------------------------------PhysicalOlapScan[date_dim]
+------------------------------PhysicalDistribute
+--------------------------------hashJoin[INNER_JOIN] hashCondition=((household_demographics.hd_demo_sk = customer.c_current_hdemo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[c_current_hdemo_sk]
+----------------------------------hashJoin[INNER_JOIN] hashCondition=((customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk)) otherCondition=() build RFs:RF0 cd_demo_sk->[c_current_cdemo_sk]
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------PhysicalOlapScan[customer] apply RFs: RF0 RF1
+------------------------------------PhysicalDistribute
+--------------------------------------PhysicalProject
+----------------------------------------filter((((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = 'Unknown')) OR ((customer_demographics.cd_marital_status = 'W') AND (customer_demographics.cd_education_status = 'Advanced Degree'))))
+------------------------------------------PhysicalOlapScan[customer_demographics]
+----------------------------------PhysicalDistribute
+------------------------------------PhysicalProject
+--------------------------------------filter((hd_buy_potential like '1001-5000%'))
+----------------------------------------PhysicalOlapScan[household_demographics]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[call_center]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query92.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query92.out
new file mode 100644
index 0000000000..cb095c4426
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query92.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_92 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------filter((cast(ws_ext_discount_amt as DECIMALV3(38, 5)) > (1.3 * avg(cast(ws_ext_discount_amt as DECIMALV3(9, 4))) OVER(PARTITION BY i_item_sk))))
+----------------PhysicalWindow
+------------------PhysicalQuickSort[LOCAL_SORT]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((date_dim.d_date_sk = web_sales.ws_sold_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_sold_date_sk]
+--------------------------PhysicalProject
+----------------------------hashJoin[INNER_JOIN] hashCondition=((item.i_item_sk = web_sales.ws_item_sk)) otherCondition=() build RFs:RF0 i_item_sk->[ws_item_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((item.i_manufact_id = 320))
+------------------------------------PhysicalOlapScan[item]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_date <= '2002-05-27') and (date_dim.d_date >= '2002-02-26'))
+--------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query93.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query93.out
new file mode 100644
index 0000000000..a94e70c914
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query93.out
@@ -0,0 +1,21 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_93 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_item_sk = store_sales.ss_item_sk) and (store_returns.sr_ticket_number = store_sales.ss_ticket_number)) otherCondition=() build RFs:RF1 sr_item_sk->[ss_item_sk];RF2 sr_ticket_number->[ss_ticket_number]
+------------------PhysicalProject
+--------------------PhysicalOlapScan[store_sales] apply RFs: RF1 RF2
+------------------hashJoin[INNER_JOIN] hashCondition=((store_returns.sr_reason_sk = reason.r_reason_sk)) otherCondition=() build RFs:RF0 r_reason_sk->[sr_reason_sk]
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[store_returns] apply RFs: RF0
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((reason.r_reason_desc = 'duplicate purchase'))
+--------------------------PhysicalOlapScan[reason]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query94.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query94.out
new file mode 100644
index 0000000000..4c4f311c28
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query94.out
@@ -0,0 +1,38 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_94 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[DISTINCT_GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[DISTINCT_LOCAL]
+------------hashAgg[GLOBAL]
+--------------hashAgg[LOCAL]
+----------------PhysicalProject
+------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = ws2.ws_order_number)) otherCondition=(( not (ws_warehouse_sk = ws_warehouse_sk))) build RFs:RF4 ws_order_number->[ws_order_number]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[web_sales] apply RFs: RF4
+--------------------hashJoin[RIGHT_ANTI_JOIN] hashCondition=((ws1.ws_order_number = wr1.wr_order_number)) otherCondition=() build RFs:RF3 ws_order_number->[wr_order_number]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[web_returns] apply RFs: RF3
+----------------------PhysicalDistribute
+------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF2 web_site_sk->[ws_web_site_sk]
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ws_ship_date_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF0 ca_address_sk->[ws_ship_addr_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_sales] apply RFs: RF0 RF1 RF2
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((customer_address.ca_state = 'OK'))
+------------------------------------PhysicalOlapScan[customer_address]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_date <= '2000-04-01') and (date_dim.d_date >= '2000-02-01'))
+----------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((web_site.web_company_name = 'pri'))
+--------------------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query95.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query95.out
new file mode 100644
index 0000000000..b176171f1a
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query95.out
@@ -0,0 +1,53 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_95 --
+PhysicalCteAnchor ( cteId=CTEId#0 )
+--PhysicalCteProducer ( cteId=CTEId#0 )
+----PhysicalProject
+------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_order_number = ws2.ws_order_number)) otherCondition=(( not (ws_warehouse_sk = ws_warehouse_sk)))
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[web_sales]
+--------PhysicalDistribute
+----------PhysicalProject
+------------PhysicalOlapScan[web_sales]
+--PhysicalResultSink
+----PhysicalTopN[MERGE_SORT]
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[DISTINCT_GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[DISTINCT_LOCAL]
+--------------hashAgg[GLOBAL]
+----------------hashAgg[LOCAL]
+------------------PhysicalProject
+--------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = ws_wh.ws_order_number)) otherCondition=()
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------hashJoin[RIGHT_SEMI_JOIN] hashCondition=((ws1.ws_order_number = web_returns.wr_order_number)) otherCondition=() build RFs:RF5 ws_order_number->[wr_order_number]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((web_returns.wr_order_number = ws_wh.ws_order_number)) otherCondition=() build RFs:RF4 wr_order_number->[ws_order_number]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalCteConsumer ( cteId=CTEId#0 )
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[web_returns] apply RFs: RF5
+------------------------PhysicalDistribute
+--------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_web_site_sk = web_site.web_site_sk)) otherCondition=() build RFs:RF3 web_site_sk->[ws_web_site_sk]
+----------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF2 d_date_sk->[ws_ship_date_sk]
+------------------------------hashJoin[INNER_JOIN] hashCondition=((ws1.ws_ship_addr_sk = customer_address.ca_address_sk)) otherCondition=() build RFs:RF1 ca_address_sk->[ws_ship_addr_sk]
+--------------------------------PhysicalProject
+----------------------------------PhysicalOlapScan[web_sales] apply RFs: RF1 RF2 RF3
+--------------------------------PhysicalDistribute
+----------------------------------PhysicalProject
+------------------------------------filter((customer_address.ca_state = 'NC'))
+--------------------------------------PhysicalOlapScan[customer_address]
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_date <= '1999-04-02') and (date_dim.d_date >= '1999-02-01'))
+------------------------------------PhysicalOlapScan[date_dim]
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((web_site.web_company_name = 'pri'))
+----------------------------------PhysicalOlapScan[web_site]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query96.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query96.out
new file mode 100644
index 0000000000..daf0b67a0e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query96.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_96 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalTopN[LOCAL_SORT]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_store_sk = store.s_store_sk)) otherCondition=() build RFs:RF2 s_store_sk->[ss_store_sk]
+----------------PhysicalProject
+------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)) otherCondition=() build RFs:RF1 hd_demo_sk->[ss_hdemo_sk]
+--------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_time_sk = time_dim.t_time_sk)) otherCondition=() build RFs:RF0 t_time_sk->[ss_sold_time_sk]
+----------------------PhysicalProject
+------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------filter((time_dim.t_hour = 8) and (time_dim.t_minute >= 30))
+----------------------------PhysicalOlapScan[time_dim]
+--------------------PhysicalDistribute
+----------------------PhysicalProject
+------------------------filter((household_demographics.hd_dep_count = 3))
+--------------------------PhysicalOlapScan[household_demographics]
+----------------PhysicalDistribute
+------------------PhysicalProject
+--------------------filter((store.s_store_name = 'ese'))
+----------------------PhysicalOlapScan[store]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query97.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query97.out
new file mode 100644
index 0000000000..7b8832c172
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query97.out
@@ -0,0 +1,35 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_97 --
+PhysicalResultSink
+--PhysicalLimit[GLOBAL]
+----PhysicalLimit[LOCAL]
+------hashAgg[GLOBAL]
+--------PhysicalDistribute
+----------hashAgg[LOCAL]
+------------PhysicalProject
+--------------hashJoin[FULL_OUTER_JOIN] hashCondition=((ssci.customer_sk = csci.customer_sk) and (ssci.item_sk = csci.item_sk)) otherCondition=()
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[store_sales] apply RFs: RF1
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1225) and (date_dim.d_month_seq >= 1214))
+----------------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------hashAgg[GLOBAL]
+--------------------PhysicalDistribute
+----------------------hashAgg[LOCAL]
+------------------------PhysicalProject
+--------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_sold_date_sk]
+----------------------------PhysicalProject
+------------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+----------------------------PhysicalDistribute
+------------------------------PhysicalProject
+--------------------------------filter((date_dim.d_month_seq <= 1225) and (date_dim.d_month_seq >= 1214))
+----------------------------------PhysicalOlapScan[date_dim]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query98.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query98.out
new file mode 100644
index 0000000000..d75c1d9409
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query98.out
@@ -0,0 +1,28 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_98 --
+PhysicalResultSink
+--PhysicalQuickSort[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalQuickSort[LOCAL_SORT]
+--------PhysicalProject
+----------PhysicalWindow
+------------PhysicalQuickSort[LOCAL_SORT]
+--------------PhysicalDistribute
+----------------hashAgg[GLOBAL]
+------------------PhysicalDistribute
+--------------------hashAgg[LOCAL]
+----------------------PhysicalProject
+------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_item_sk = item.i_item_sk)) otherCondition=() build RFs:RF1 i_item_sk->[ss_item_sk]
+--------------------------PhysicalDistribute
+----------------------------hashJoin[INNER_JOIN] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[ss_sold_date_sk]
+------------------------------PhysicalProject
+--------------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1
+------------------------------PhysicalDistribute
+--------------------------------PhysicalProject
+----------------------------------filter((date_dim.d_date <= '2002-06-19') and (date_dim.d_date >= '2002-05-20'))
+------------------------------------PhysicalOlapScan[date_dim]
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter(i_category IN ('Music', 'Shoes', 'Sports'))
+--------------------------------PhysicalOlapScan[item]
+
diff --git a/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query99.out b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query99.out
new file mode 100644
index 0000000000..27b0035b6e
--- /dev/null
+++ b/regression-test/data/nereids_tpcds_shape_sf100_p0/rf_prune/query99.out
@@ -0,0 +1,31 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !ds_shape_99 --
+PhysicalResultSink
+--PhysicalTopN[MERGE_SORT]
+----PhysicalDistribute
+------PhysicalTopN[LOCAL_SORT]
+--------hashAgg[GLOBAL]
+----------PhysicalDistribute
+------------hashAgg[LOCAL]
+--------------PhysicalProject
+----------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_warehouse_sk = warehouse.w_warehouse_sk)) otherCondition=()
+------------------PhysicalProject
+--------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_mode_sk = ship_mode.sm_ship_mode_sk)) otherCondition=()
+----------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_call_center_sk = call_center.cc_call_center_sk)) otherCondition=()
+------------------------hashJoin[INNER_JOIN] hashCondition=((catalog_sales.cs_ship_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF0 d_date_sk->[cs_ship_date_sk]
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[catalog_sales] apply RFs: RF0
+--------------------------PhysicalDistribute
+----------------------------PhysicalProject
+------------------------------filter((date_dim.d_month_seq <= 1235) and (date_dim.d_month_seq >= 1224))
+--------------------------------PhysicalOlapScan[date_dim]
+------------------------PhysicalDistribute
+--------------------------PhysicalProject
+----------------------------PhysicalOlapScan[call_center]
+----------------------PhysicalDistribute
+------------------------PhysicalProject
+--------------------------PhysicalOlapScan[ship_mode]
+------------------PhysicalDistribute
+--------------------PhysicalProject
+----------------------PhysicalOlapScan[warehouse]
+
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/load.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/load.groovy
index c0b1a736eb..9f42d1e7ea 100644
--- a/regression-test/suites/nereids_tpcds_shape_sf100_p0/load.groovy
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/load.groovy
@@ -2536,1573 +2536,1573 @@ alter table store_sales modify column ss_wholesale_cost set stats ('row_count'='
 """
 
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='Y', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='Y', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2003-01-01', 'max_value'='2003-12-31', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2003-01-01', 'max_value'='2003-12-31', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1999-01-01', 'max_value'='1999-12-31', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1999-01-01', 'max_value'='1999-12-31', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='35793', 'ndv'='35630', 'num_nulls'='0', 'min_value'='1900-01-02', 'max_value'='1997-12-31', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='35793', 'ndv'='35630', 'num_nulls'='0', 'min_value'='1900-01-02', 'max_value'='1997-12-31', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2002-01-01', 'max_value'='2002-12-31', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2002-01-01', 'max_value'='2002-12-31', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='35065', 'ndv'='35118', 'num_nulls'='0', 'min_value'='2004-01-01', 'max_value'='2100-01-01', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='35065', 'ndv'='35118', 'num_nulls'='0', 'min_value'='2004-01-01', 'max_value'='2100-01-01', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2001-01-01', 'max_value'='2001-12-31', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2001-01-01', 'max_value'='2001-12-31', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1998-01-01', 'max_value'='1998-12-31', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1998-01-01', 'max_value'='1998-12-31', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='366', 'ndv'='366', 'num_nulls'='0', 'min_value'='2000-01-01', 'max_value'='2000-12-31', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='366', 'ndv'='366', 'num_nulls'='0', 'min_value'='2000-01-01', 'max_value'='2000-12-31', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='35793', 'ndv'='35428', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAAFCAA', 'max_value'='AAAAAAAAPPPPECAA', 'data_size'='572688') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='35793', 'ndv'='35428', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAAFCAA', 'max_value'='AAAAAAAAPPPPECAA', 'data_size'='572688') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='368', 'num_nulls'='0', 'min_value'='AAAAAAAAAAGGFCAA', 'max_value'='AAAAAAAAPPFGFCAA', 'data_size'='5840') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='368', 'num_nulls'='0', 'min_value'='AAAAAAAAAAGGFCAA', 'max_value'='AAAAAAAAPPFGFCAA', 'data_size'='5840') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAHGFCAA', 'max_value'='AAAAAAAAPPHGFCAA', 'data_size'='5840') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAHGFCAA', 'max_value'='AAAAAAAAPPHGFCAA', 'data_size'='5840') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='AAAAAAAAAANGFCAA', 'max_value'='AAAAAAAAPPNGFCAA', 'data_size'='5840') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='AAAAAAAAAANGFCAA', 'max_value'='AAAAAAAAPPNGFCAA', 'data_size'='5840') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='AAAAAAAAAAKGFCAA', 'max_value'='AAAAAAAAPPKGFCAA', 'data_size'='5840') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='AAAAAAAAAAKGFCAA', 'max_value'='AAAAAAAAPPKGFCAA', 'data_size'='5840') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='35065', 'ndv'='35542', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAHFCAA', 'max_value'='AAAAAAAAPPPOFCAA', 'data_size'='561040') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='35065', 'ndv'='35542', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAHFCAA', 'max_value'='AAAAAAAAPPPOFCAA', 'data_size'='561040') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAMGFCAA', 'max_value'='AAAAAAAAPPLGFCAA', 'data_size'='5840') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAMGFCAA', 'max_value'='AAAAAAAAPPLGFCAA', 'data_size'='5840') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='366', 'ndv'='362', 'num_nulls'='0', 'min_value'='AAAAAAAAAAJGFCAA', 'max_value'='AAAAAAAAPPIGFCAA', 'data_size'='5856') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='366', 'ndv'='362', 'num_nulls'='0', 'min_value'='AAAAAAAAAAJGFCAA', 'max_value'='AAAAAAAAPPIGFCAA', 'data_size'='5856') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='2920') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='2920') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='2920') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='2920') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='2920') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='2920') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='366', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='2928') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='366', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='2928') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='35065', 'ndv'='35067', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='280520') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='35065', 'ndv'='35067', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='280520') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='2920') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='2920') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='35793', 'ndv'='36266', 'num_nulls'='0', 'min_value'='2415022', 'max_value'='2450814', 'data_size'='286344') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='35793', 'ndv'='36266', 'num_nulls'='0', 'min_value'='2415022', 'max_value'='2450814', 'data_size'='286344') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2453005', 'data_size'='2920') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2453005', 'data_size'='2920') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2614') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2614') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='250466') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='250466') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2608') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2608') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='255663') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='255663') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2607') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2607') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2609') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2609') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='35793', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='35793', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='35065', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='35065', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='366', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='366', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452245', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452245', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451514', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451514', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='35793', 'ndv'='1181', 'num_nulls'='0', 'min_value'='2415021', 'max_value'='2450784', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='35793', 'ndv'='1181', 'num_nulls'='0', 'min_value'='2415021', 'max_value'='2450784', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451880', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451880', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2452975', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2452975', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452610', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452610', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='35065', 'ndv'='1161', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='35065', 'ndv'='1161', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451149', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451149', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452275', 'max_value'='2452943', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452275', 'max_value'='2452943', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451910', 'max_value'='2452578', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451910', 'max_value'='2452578', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='35793', 'ndv'='1186', 'num_nulls'='0', 'min_value'='2415020', 'max_value'='2451117', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='35793', 'ndv'='1186', 'num_nulls'='0', 'min_value'='2415020', 'max_value'='2451117', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452640', 'max_value'='2453308', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452640', 'max_value'='2453308', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451179', 'max_value'='2451847', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451179', 'max_value'='2451847', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='35065', 'ndv'='1144', 'num_nulls'='0', 'min_value'='2453005', 'max_value'='2488372', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='35065', 'ndv'='1144', 'num_nulls'='0', 'min_value'='2453005', 'max_value'='2488372', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451544', 'max_value'='2452214', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451544', 'max_value'='2452214', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450814', 'max_value'='2451482', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450814', 'max_value'='2451482', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1188', 'max_value'='1199', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1188', 'max_value'='1199', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='35793', 'ndv'='1176', 'num_nulls'='0', 'min_value'='0', 'max_value'='1175', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='35793', 'ndv'='1176', 'num_nulls'='0', 'min_value'='0', 'max_value'='1175', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1176', 'max_value'='1187', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1176', 'max_value'='1187', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1236', 'max_value'='1247', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1236', 'max_value'='1247', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='35065', 'ndv'='1147', 'num_nulls'='0', 'min_value'='1248', 'max_value'='2400', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='35065', 'ndv'='1147', 'num_nulls'='0', 'min_value'='1248', 'max_value'='2400', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1212', 'max_value'='1223', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1212', 'max_value'='1223', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1200', 'max_value'='1211', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1200', 'max_value'='1211', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1224', 'max_value'='1235', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1224', 'max_value'='1235', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='35793', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='35793', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='35065', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='35065', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='35793', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='35793', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='35065', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='35065', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2001Q1', 'max_value'='2001Q4', 'data_size'='2190') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2001Q1', 'max_value'='2001Q4', 'data_size'='2190') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='35793', 'ndv'='393', 'num_nulls'='0', 'min_value'='1900Q1', 'max_value'='1997Q4', 'data_size'='214758') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='35793', 'ndv'='393', 'num_nulls'='0', 'min_value'='1900Q1', 'max_value'='1997Q4', 'data_size'='214758') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2002Q1', 'max_value'='2002Q4', 'data_size'='2190') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2002Q1', 'max_value'='2002Q4', 'data_size'='2190') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='2000Q1', 'max_value'='2000Q4', 'data_size'='2196') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='2000Q1', 'max_value'='2000Q4', 'data_size'='2196') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='2004Q1', 'max_value'='2100Q1', 'data_size'='210390') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='2004Q1', 'max_value'='2100Q1', 'data_size'='210390') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2003Q1', 'max_value'='2003Q4', 'data_size'='2190') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2003Q1', 'max_value'='2003Q4', 'data_size'='2190') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1998Q1', 'max_value'='1998Q4', 'data_size'='2190') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1998Q1', 'max_value'='1998Q4', 'data_size'='2190') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1999Q1', 'max_value'='1999Q4', 'data_size'='2190') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1999Q1', 'max_value'='1999Q4', 'data_size'='2190') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='35793', 'ndv'='35806', 'num_nulls'='0', 'min_value'='2414930', 'max_value'='2450722', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='35793', 'ndv'='35806', 'num_nulls'='0', 'min_value'='2414930', 'max_value'='2450722', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451088', 'max_value'='2451452', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451088', 'max_value'='2451452', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451819', 'max_value'='2452183', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451819', 'max_value'='2452183', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='361', 'num_nulls'='0', 'min_value'='2450723', 'max_value'='2451087', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='361', 'num_nulls'='0', 'min_value'='2450723', 'max_value'='2451087', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452184', 'max_value'='2452548', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452184', 'max_value'='2452548', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2452549', 'max_value'='2452913', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2452549', 'max_value'='2452913', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='35065', 'ndv'='34991', 'num_nulls'='0', 'min_value'='2452914', 'max_value'='2487978', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='35065', 'ndv'='34991', 'num_nulls'='0', 'min_value'='2452914', 'max_value'='2487978', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='366', 'ndv'='365', 'num_nulls'='0', 'min_value'='2451453', 'max_value'='2451818', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='366', 'ndv'='365', 'num_nulls'='0', 'min_value'='2451453', 'max_value'='2451818', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='35793', 'ndv'='35878', 'num_nulls'='0', 'min_value'='2414657', 'max_value'='2450449', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='35793', 'ndv'='35878', 'num_nulls'='0', 'min_value'='2414657', 'max_value'='2450449', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='366', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='366', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2450450', 'max_value'='2450814', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2450450', 'max_value'='2450814', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='35065', 'ndv'='35076', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2487705', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='35065', 'ndv'='35076', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2487705', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);"""
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);"""
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_current_day set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_current_month set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_current_quarter set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_current_week set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='Y', 'max_value'='Y', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='Y', 'max_value'='Y', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='35793', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_current_year set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_current_year set stats ('row_count'='35065', 'ndv'='1', 'num_nulls'='0', 'min_value'='N', 'max_value'='N', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2003-01-01', 'max_value'='2003-12-31', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2003-01-01', 'max_value'='2003-12-31', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1999-01-01', 'max_value'='1999-12-31', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1999-01-01', 'max_value'='1999-12-31', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='35793', 'ndv'='35630', 'num_nulls'='0', 'min_value'='1900-01-02', 'max_value'='1997-12-31', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='35793', 'ndv'='35630', 'num_nulls'='0', 'min_value'='1900-01-02', 'max_value'='1997-12-31', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2002-01-01', 'max_value'='2002-12-31', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2002-01-01', 'max_value'='2002-12-31', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='35065', 'ndv'='35118', 'num_nulls'='0', 'min_value'='2004-01-01', 'max_value'='2100-01-01', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='35065', 'ndv'='35118', 'num_nulls'='0', 'min_value'='2004-01-01', 'max_value'='2100-01-01', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2001-01-01', 'max_value'='2001-12-31', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2001-01-01', 'max_value'='2001-12-31', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1998-01-01', 'max_value'='1998-12-31', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='1998-01-01', 'max_value'='1998-12-31', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_date set stats ('row_count'='366', 'ndv'='366', 'num_nulls'='0', 'min_value'='2000-01-01', 'max_value'='2000-12-31', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_date set stats ('row_count'='366', 'ndv'='366', 'num_nulls'='0', 'min_value'='2000-01-01', 'max_value'='2000-12-31', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='35793', 'ndv'='35428', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAAFCAA', 'max_value'='AAAAAAAAPPPPECAA', 'data_size'='572688') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='35793', 'ndv'='35428', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAAFCAA', 'max_value'='AAAAAAAAPPPPECAA', 'data_size'='572688') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='368', 'num_nulls'='0', 'min_value'='AAAAAAAAAAGGFCAA', 'max_value'='AAAAAAAAPPFGFCAA', 'data_size'='5840') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='368', 'num_nulls'='0', 'min_value'='AAAAAAAAAAGGFCAA', 'max_value'='AAAAAAAAPPFGFCAA', 'data_size'='5840') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAHGFCAA', 'max_value'='AAAAAAAAPPHGFCAA', 'data_size'='5840') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAHGFCAA', 'max_value'='AAAAAAAAPPHGFCAA', 'data_size'='5840') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='AAAAAAAAAANGFCAA', 'max_value'='AAAAAAAAPPNGFCAA', 'data_size'='5840') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='AAAAAAAAAANGFCAA', 'max_value'='AAAAAAAAPPNGFCAA', 'data_size'='5840') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='AAAAAAAAAAKGFCAA', 'max_value'='AAAAAAAAPPKGFCAA', 'data_size'='5840') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='AAAAAAAAAAKGFCAA', 'max_value'='AAAAAAAAPPKGFCAA', 'data_size'='5840') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='35065', 'ndv'='35542', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAHFCAA', 'max_value'='AAAAAAAAPPPOFCAA', 'data_size'='561040') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='35065', 'ndv'='35542', 'num_nulls'='0', 'min_value'='AAAAAAAAAAAHFCAA', 'max_value'='AAAAAAAAPPPOFCAA', 'data_size'='561040') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAMGFCAA', 'max_value'='AAAAAAAAPPLGFCAA', 'data_size'='5840') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='AAAAAAAAAAMGFCAA', 'max_value'='AAAAAAAAPPLGFCAA', 'data_size'='5840') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_date_id set stats ('row_count'='366', 'ndv'='362', 'num_nulls'='0', 'min_value'='AAAAAAAAAAJGFCAA', 'max_value'='AAAAAAAAPPIGFCAA', 'data_size'='5856') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_date_id set stats ('row_count'='366', 'ndv'='362', 'num_nulls'='0', 'min_value'='AAAAAAAAAAJGFCAA', 'max_value'='AAAAAAAAPPIGFCAA', 'data_size'='5856') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='2920') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='2920') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='2920') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='366', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='2920') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='2920') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='2920') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='366', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='2928') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='366', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='2928') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='35065', 'ndv'='35067', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='280520') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='35065', 'ndv'='35067', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='280520') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='2920') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='2920') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='35793', 'ndv'='36266', 'num_nulls'='0', 'min_value'='2415022', 'max_value'='2450814', 'data_size'='286344') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='35793', 'ndv'='36266', 'num_nulls'='0', 'min_value'='2415022', 'max_value'='2450814', 'data_size'='286344') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2453005', 'data_size'='2920') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_date_sk set stats ('row_count'='365', 'ndv'='365', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2453005', 'data_size'='2920') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2614') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2614') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='250466') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='250466') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2608') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2608') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='255663') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='255663') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2607') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2607') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2606') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2609') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_day_name set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='Friday', 'max_value'='Wednesday', 'data_size'='2609') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='35793', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='35793', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='35065', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='35065', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='366', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='366', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_dom set stats ('row_count'='365', 'ndv'='31', 'num_nulls'='0', 'min_value'='1', 'max_value'='31', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='35793', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='365', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='366', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_dow set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_dow set stats ('row_count'='35065', 'ndv'='7', 'num_nulls'='0', 'min_value'='0', 'max_value'='6', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452245', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452245', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451514', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451514', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='35793', 'ndv'='1181', 'num_nulls'='0', 'min_value'='2415021', 'max_value'='2450784', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='35793', 'ndv'='1181', 'num_nulls'='0', 'min_value'='2415021', 'max_value'='2450784', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451880', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451880', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2452975', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2452975', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452610', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452610', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='35065', 'ndv'='1161', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='35065', 'ndv'='1161', 'num_nulls'='0', 'min_value'='2453006', 'max_value'='2488070', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451149', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_first_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451149', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_following_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_fy_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_fy_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_fy_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_holiday set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452275', 'max_value'='2452943', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452275', 'max_value'='2452943', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451910', 'max_value'='2452578', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451910', 'max_value'='2452578', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='35793', 'ndv'='1186', 'num_nulls'='0', 'min_value'='2415020', 'max_value'='2451117', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='35793', 'ndv'='1186', 'num_nulls'='0', 'min_value'='2415020', 'max_value'='2451117', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452640', 'max_value'='2453308', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2452640', 'max_value'='2453308', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451179', 'max_value'='2451847', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451179', 'max_value'='2451847', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='35065', 'ndv'='1144', 'num_nulls'='0', 'min_value'='2453005', 'max_value'='2488372', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='35065', 'ndv'='1144', 'num_nulls'='0', 'min_value'='2453005', 'max_value'='2488372', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451544', 'max_value'='2452214', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='2451544', 'max_value'='2452214', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450814', 'max_value'='2451482', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_last_dom set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='2450814', 'max_value'='2451482', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1188', 'max_value'='1199', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1188', 'max_value'='1199', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='35793', 'ndv'='1176', 'num_nulls'='0', 'min_value'='0', 'max_value'='1175', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='35793', 'ndv'='1176', 'num_nulls'='0', 'min_value'='0', 'max_value'='1175', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1176', 'max_value'='1187', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1176', 'max_value'='1187', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1236', 'max_value'='1247', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1236', 'max_value'='1247', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='35065', 'ndv'='1147', 'num_nulls'='0', 'min_value'='1248', 'max_value'='2400', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='35065', 'ndv'='1147', 'num_nulls'='0', 'min_value'='1248', 'max_value'='2400', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1212', 'max_value'='1223', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1212', 'max_value'='1223', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1200', 'max_value'='1211', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1200', 'max_value'='1211', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1224', 'max_value'='1235', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_month_seq set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1224', 'max_value'='1235', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='35793', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='35793', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='35065', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='35065', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='366', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_moy set stats ('row_count'='365', 'ndv'='12', 'num_nulls'='0', 'min_value'='1', 'max_value'='12', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='35793', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='35793', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_qoy set stats ('row_count'='35065', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_qoy set stats ('row_count'='35065', 'ndv'='4', 'num_nulls'='0', 'min_value'='1', 'max_value'='4', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2001Q1', 'max_value'='2001Q4', 'data_size'='2190') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2001Q1', 'max_value'='2001Q4', 'data_size'='2190') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='35793', 'ndv'='393', 'num_nulls'='0', 'min_value'='1900Q1', 'max_value'='1997Q4', 'data_size'='214758') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='35793', 'ndv'='393', 'num_nulls'='0', 'min_value'='1900Q1', 'max_value'='1997Q4', 'data_size'='214758') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2002Q1', 'max_value'='2002Q4', 'data_size'='2190') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2002Q1', 'max_value'='2002Q4', 'data_size'='2190') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='2000Q1', 'max_value'='2000Q4', 'data_size'='2196') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='366', 'ndv'='4', 'num_nulls'='0', 'min_value'='2000Q1', 'max_value'='2000Q4', 'data_size'='2196') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='2004Q1', 'max_value'='2100Q1', 'data_size'='210390') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='2004Q1', 'max_value'='2100Q1', 'data_size'='210390') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2003Q1', 'max_value'='2003Q4', 'data_size'='2190') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='2003Q1', 'max_value'='2003Q4', 'data_size'='2190') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1998Q1', 'max_value'='1998Q4', 'data_size'='2190') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1998Q1', 'max_value'='1998Q4', 'data_size'='2190') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1999Q1', 'max_value'='1999Q4', 'data_size'='2190') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_name set stats ('row_count'='365', 'ndv'='4', 'num_nulls'='0', 'min_value'='1999Q1', 'max_value'='1999Q4', 'data_size'='2190') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='35793', 'ndv'='394', 'num_nulls'='0', 'min_value'='1', 'max_value'='393', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='405', 'max_value'='409', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='366', 'ndv'='5', 'num_nulls'='0', 'min_value'='401', 'max_value'='405', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='397', 'max_value'='401', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='409', 'max_value'='413', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='393', 'max_value'='397', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='365', 'ndv'='5', 'num_nulls'='0', 'min_value'='413', 'max_value'='417', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_quarter_seq set stats ('row_count'='35065', 'ndv'='387', 'num_nulls'='0', 'min_value'='417', 'max_value'='801', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='35793', 'ndv'='35806', 'num_nulls'='0', 'min_value'='2414930', 'max_value'='2450722', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='35793', 'ndv'='35806', 'num_nulls'='0', 'min_value'='2414930', 'max_value'='2450722', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451088', 'max_value'='2451452', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451088', 'max_value'='2451452', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451819', 'max_value'='2452183', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2451819', 'max_value'='2452183', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='361', 'num_nulls'='0', 'min_value'='2450723', 'max_value'='2451087', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='361', 'num_nulls'='0', 'min_value'='2450723', 'max_value'='2451087', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452184', 'max_value'='2452548', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452184', 'max_value'='2452548', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2452549', 'max_value'='2452913', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='365', 'ndv'='362', 'num_nulls'='0', 'min_value'='2452549', 'max_value'='2452913', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='35065', 'ndv'='34991', 'num_nulls'='0', 'min_value'='2452914', 'max_value'='2487978', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='35065', 'ndv'='34991', 'num_nulls'='0', 'min_value'='2452914', 'max_value'='2487978', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_lq set stats ('row_count'='366', 'ndv'='365', 'num_nulls'='0', 'min_value'='2451453', 'max_value'='2451818', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_lq set stats ('row_count'='366', 'ndv'='365', 'num_nulls'='0', 'min_value'='2451453', 'max_value'='2451818', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2452276', 'max_value'='2452640', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='35793', 'ndv'='35878', 'num_nulls'='0', 'min_value'='2414657', 'max_value'='2450449', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='35793', 'ndv'='35878', 'num_nulls'='0', 'min_value'='2414657', 'max_value'='2450449', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='366', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='366', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451180', 'max_value'='2451544', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2451545', 'max_value'='2451910', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2450450', 'max_value'='2450814', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='364', 'num_nulls'='0', 'min_value'='2450450', 'max_value'='2450814', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='35065', 'ndv'='35076', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2487705', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='35065', 'ndv'='35076', 'num_nulls'='0', 'min_value'='2452641', 'max_value'='2487705', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='363', 'num_nulls'='0', 'min_value'='2450815', 'max_value'='2451179', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_same_day_ly set stats ('row_count'='365', 'ndv'='367', 'num_nulls'='0', 'min_value'='2451911', 'max_value'='2452275', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5270', 'max_value'='5322', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5114', 'max_value'='5166', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5166', 'max_value'='5218', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5375', 'max_value'='5427', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='365', 'ndv'='53', 'num_nulls'='0', 'min_value'='5323', 'max_value'='5375', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='35065', 'ndv'='5008', 'num_nulls'='0', 'min_value'='5427', 'max_value'='10436', 'data_size'='140260') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='35793', 'ndv'='5136', 'num_nulls'='0', 'min_value'='1', 'max_value'='5114', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_week_seq set stats ('row_count'='366', 'ndv'='53', 'num_nulls'='0', 'min_value'='5218', 'max_value'='5270', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='366', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='366') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='35793', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35793') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='35065', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='35065') partition (pfuture);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_weekend set stats ('row_count'='365', 'ndv'='2', 'num_nulls'='0', 'min_value'='N', 'max_value'='Y', 'data_size'='365') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1999', 'max_value'='1999', 'data_size'='1460') partition (p1999);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='35793', 'ndv'='98', 'num_nulls'='0', 'min_value'='1900', 'max_value'='1997', 'data_size'='143172') partition (ppast);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='1998', 'max_value'='1998', 'data_size'='1460') partition (p1998);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2001', 'max_value'='2001', 'data_size'='1460') partition (p2001);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2002', 'max_value'='2002', 'data_size'='1460') partition (p2002);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='366', 'ndv'='1', 'num_nulls'='0', 'min_value'='2000', 'max_value'='2000', 'data_size'='1464') partition (p2000);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='365', 'ndv'='1', 'num_nulls'='0', 'min_value'='2003', 'max_value'='2003', 'data_size'='1460') partition (p2003);
+// """
 
-sql """
-alter table date_dim modify column d_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);
-"""
+// sql """
+// alter table date_dim modify column d_year set stats ('row_count'='35065', 'ndv'='97', 'num_nulls'='0', 'min_value'='2004', 'max_value'='2100', 'data_size'='140260') partition (pfuture);
+// """
 
 
 
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.groovy
new file mode 100644
index 0000000000..0e1e2bd942
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query1.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query1") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+    qt_ds_shape_1 '''
+    explain shape plan
+with customer_total_return as
+(select sr_customer_sk as ctr_customer_sk
+,sr_store_sk as ctr_store_sk
+,sum(SR_FEE) as ctr_total_return
+from store_returns
+,date_dim
+where sr_returned_date_sk = d_date_sk
+and d_year =2000
+group by sr_customer_sk
+,sr_store_sk)
+ select  c_customer_id
+from customer_total_return ctr1
+,store
+,customer
+where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+from customer_total_return ctr2
+where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
+and s_store_sk = ctr1.ctr_store_sk
+and s_state = 'SD'
+and ctr1.ctr_customer_sk = c_customer_sk
+order by c_customer_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.groovy
new file mode 100644
index 0000000000..65620ac556
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query10.groovy
@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query10") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_10 '''
+    explain shape plan
+
+
+
+
+select  
+  cd_gender,
+  cd_marital_status,
+  cd_education_status,
+  count(*) cnt1,
+  cd_purchase_estimate,
+  count(*) cnt2,
+  cd_credit_rating,
+  count(*) cnt3,
+  cd_dep_count,
+  count(*) cnt4,
+  cd_dep_employed_count,
+  count(*) cnt5,
+  cd_dep_college_count,
+  count(*) cnt6
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  ca_county in ('Storey County','Marquette County','Warren County','Cochran County','Kandiyohi County') and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2001 and
+                d_moy between 1 and 1+3) and
+   (exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_moy between 1 ANd 1+3) or 
+    exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_moy between 1 and 1+3))
+ group by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ order by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.groovy
new file mode 100644
index 0000000000..0250982737
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query11.groovy
@@ -0,0 +1,121 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query11") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_11 '''
+    explain shape plan
+
+
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag 
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year 
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag 
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+         )
+  select  
+                  t_s_secyear.customer_id
+                 ,t_s_secyear.customer_first_name
+                 ,t_s_secyear.customer_last_name
+                 ,t_s_secyear.customer_birth_country
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+         and t_s_firstyear.customer_id = t_w_secyear.customer_id
+         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+         and t_s_firstyear.sale_type = 's'
+         and t_w_firstyear.sale_type = 'w'
+         and t_s_secyear.sale_type = 's'
+         and t_w_secyear.sale_type = 'w'
+         and t_s_firstyear.dyear = 2001
+         and t_s_secyear.dyear = 2001+1
+         and t_w_firstyear.dyear = 2001
+         and t_w_secyear.dyear = 2001+1
+         and t_s_firstyear.year_total > 0
+         and t_w_firstyear.year_total > 0
+         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end
+             > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
+ order by t_s_secyear.customer_id
+         ,t_s_secyear.customer_first_name
+         ,t_s_secyear.customer_last_name
+         ,t_s_secyear.customer_birth_country
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.groovy
new file mode 100644
index 0000000000..c34f2376c4
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query12.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query12") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_12 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+      ,i_item_desc 
+      ,i_category 
+      ,i_class 
+      ,i_current_price
+      ,sum(ws_ext_sales_price) as itemrevenue 
+      ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
+          (partition by i_class) as revenueratio
+from	
+	web_sales
+    	,item 
+    	,date_dim
+where 
+	ws_item_sk = i_item_sk 
+  	and i_category in ('Books', 'Sports', 'Men')
+  	and ws_sold_date_sk = d_date_sk
+	and d_date between cast('1998-04-06' as date) 
+				and (cast('1998-04-06' as date) + interval 30 day)
+group by 
+	i_item_id
+        ,i_item_desc 
+        ,i_category
+        ,i_class
+        ,i_current_price
+order by 
+	i_category
+        ,i_class
+        ,i_item_id
+        ,i_item_desc
+        ,revenueratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.groovy
new file mode 100644
index 0000000000..e14fd18898
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query13.groovy
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query13") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_13 '''
+    explain shape plan
+
+
+select avg(ss_quantity)
+       ,avg(ss_ext_sales_price)
+       ,avg(ss_ext_wholesale_cost)
+       ,sum(ss_ext_wholesale_cost)
+ from store_sales
+     ,store
+     ,customer_demographics
+     ,household_demographics
+     ,customer_address
+     ,date_dim
+ where s_store_sk = ss_store_sk
+ and  ss_sold_date_sk = d_date_sk and d_year = 2001
+ and((ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'D'
+  and cd_education_status = 'Unknown'
+  and ss_sales_price between 100.00 and 150.00
+  and hd_dep_count = 3   
+     )or
+     (ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'S'
+  and cd_education_status = 'College'
+  and ss_sales_price between 50.00 and 100.00   
+  and hd_dep_count = 1
+     ) or 
+     (ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'M'
+  and cd_education_status = '4 yr Degree'
+  and ss_sales_price between 150.00 and 200.00 
+  and hd_dep_count = 1  
+     ))
+ and((ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('SD', 'KS', 'MI')
+  and ss_net_profit between 100 and 200  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('MO', 'ND', 'CO')
+  and ss_net_profit between 150 and 300  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('NH', 'OH', 'TX')
+  and ss_net_profit between 50 and 250  
+     ))
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.groovy
new file mode 100644
index 0000000000..8719f4f324
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query14.groovy
@@ -0,0 +1,142 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query14") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_14 '''
+    explain shape plan
+
+
+with  cross_items as
+ (select i_item_sk ss_item_sk
+ from item,
+ (select iss.i_brand_id brand_id
+     ,iss.i_class_id class_id
+     ,iss.i_category_id category_id
+ from store_sales
+     ,item iss
+     ,date_dim d1
+ where ss_item_sk = iss.i_item_sk
+   and ss_sold_date_sk = d1.d_date_sk
+   and d1.d_year between 2000 AND 2000 + 2
+ intersect 
+ select ics.i_brand_id
+     ,ics.i_class_id
+     ,ics.i_category_id
+ from catalog_sales
+     ,item ics
+     ,date_dim d2
+ where cs_item_sk = ics.i_item_sk
+   and cs_sold_date_sk = d2.d_date_sk
+   and d2.d_year between 2000 AND 2000 + 2
+ intersect
+ select iws.i_brand_id
+     ,iws.i_class_id
+     ,iws.i_category_id
+ from web_sales
+     ,item iws
+     ,date_dim d3
+ where ws_item_sk = iws.i_item_sk
+   and ws_sold_date_sk = d3.d_date_sk
+   and d3.d_year between 2000 AND 2000 + 2)
+ t where i_brand_id = brand_id
+      and i_class_id = class_id
+      and i_category_id = category_id
+),
+ avg_sales as
+ (select avg(quantity*list_price) average_sales
+  from (select ss_quantity quantity
+             ,ss_list_price list_price
+       from store_sales
+           ,date_dim
+       where ss_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2
+       union all 
+       select cs_quantity quantity 
+             ,cs_list_price list_price
+       from catalog_sales
+           ,date_dim
+       where cs_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2 
+       union all
+       select ws_quantity quantity
+             ,ws_list_price list_price
+       from web_sales
+           ,date_dim
+       where ws_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2) x)
+  select  channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
+ from(
+       select 'store' channel, i_brand_id,i_class_id
+             ,i_category_id,sum(ss_quantity*ss_list_price) sales
+             , count(*) number_sales
+       from store_sales
+           ,item
+           ,date_dim
+       where ss_item_sk in (select ss_item_sk from cross_items)
+         and ss_item_sk = i_item_sk
+         and ss_sold_date_sk = d_date_sk
+         and d_year = 2000+2 
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
+       union all
+       select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
+       from catalog_sales
+           ,item
+           ,date_dim
+       where cs_item_sk in (select ss_item_sk from cross_items)
+         and cs_item_sk = i_item_sk
+         and cs_sold_date_sk = d_date_sk
+         and d_year = 2000+2 
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
+       union all
+       select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
+       from web_sales
+           ,item
+           ,date_dim
+       where ws_item_sk in (select ss_item_sk from cross_items)
+         and ws_item_sk = i_item_sk
+         and ws_sold_date_sk = d_date_sk
+         and d_year = 2000+2
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
+ ) y
+ group by rollup (channel, i_brand_id,i_class_id,i_category_id)
+ order by channel,i_brand_id,i_class_id,i_category_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.groovy
new file mode 100644
index 0000000000..4ff03f461d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query15.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query15") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_15 '''
+    explain shape plan
+
+
+
+select  ca_zip
+       ,sum(cs_sales_price)
+ from catalog_sales
+     ,customer
+     ,customer_address
+     ,date_dim
+ where cs_bill_customer_sk = c_customer_sk
+ 	and c_current_addr_sk = ca_address_sk 
+ 	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
+                                   '85392', '85460', '80348', '81792')
+ 	      or ca_state in ('CA','WA','GA')
+ 	      or cs_sales_price > 500)
+ 	and cs_sold_date_sk = d_date_sk
+ 	and d_qoy = 1 and d_year = 2001
+ group by ca_zip
+ order by ca_zip
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.groovy
new file mode 100644
index 0000000000..1daee4c033
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query16.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query16") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_16 '''
+    explain shape plan
+
+
+
+
+select  
+   count(distinct cs_order_number) as "order count"
+  ,sum(cs_ext_ship_cost) as "total shipping cost"
+  ,sum(cs_net_profit) as "total net profit"
+from
+   catalog_sales cs1
+  ,date_dim
+  ,customer_address
+  ,call_center
+where
+    d_date between '2002-4-01' and 
+           (cast('2002-4-01' as date) + interval 60 day)
+and cs1.cs_ship_date_sk = d_date_sk
+and cs1.cs_ship_addr_sk = ca_address_sk
+and ca_state = 'WV'
+and cs1.cs_call_center_sk = cc_call_center_sk
+and cc_county in ('Ziebach County','Luce County','Richland County','Daviess County',
+                  'Barrow County'
+)
+and exists (select *
+            from catalog_sales cs2
+            where cs1.cs_order_number = cs2.cs_order_number
+              and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
+and not exists(select *
+               from catalog_returns cr1
+               where cs1.cs_order_number = cr1.cr_order_number)
+order by count(distinct cs_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.groovy
new file mode 100644
index 0000000000..0d5f654130
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query17.groovy
@@ -0,0 +1,85 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query17") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_17 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,s_state
+       ,count(ss_quantity) as store_sales_quantitycount
+       ,avg(ss_quantity) as store_sales_quantityave
+       ,stddev_samp(ss_quantity) as store_sales_quantitystdev
+       ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
+       ,count(sr_return_quantity) as store_returns_quantitycount
+       ,avg(sr_return_quantity) as store_returns_quantityave
+       ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
+       ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
+       ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
+       ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
+       ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
+ from store_sales
+     ,store_returns
+     ,catalog_sales
+     ,date_dim d1
+     ,date_dim d2
+     ,date_dim d3
+     ,store
+     ,item
+ where d1.d_quarter_name = '2001Q1'
+   and d1.d_date_sk = ss_sold_date_sk
+   and i_item_sk = ss_item_sk
+   and s_store_sk = ss_store_sk
+   and ss_customer_sk = sr_customer_sk
+   and ss_item_sk = sr_item_sk
+   and ss_ticket_number = sr_ticket_number
+   and sr_returned_date_sk = d2.d_date_sk
+   and d2.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
+   and sr_customer_sk = cs_bill_customer_sk
+   and sr_item_sk = cs_item_sk
+   and cs_sold_date_sk = d3.d_date_sk
+   and d3.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
+ group by i_item_id
+         ,i_item_desc
+         ,s_state
+ order by i_item_id
+         ,i_item_desc
+         ,s_state
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.groovy
new file mode 100644
index 0000000000..6c8e4410d7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query18.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query18") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_18 '''
+    explain shape plan
+
+
+
+
+select  i_item_id,
+        ca_country,
+        ca_state, 
+        ca_county,
+        avg( cast(cs_quantity as decimal(12,2))) agg1,
+        avg( cast(cs_list_price as decimal(12,2))) agg2,
+        avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
+        avg( cast(cs_sales_price as decimal(12,2))) agg4,
+        avg( cast(cs_net_profit as decimal(12,2))) agg5,
+        avg( cast(c_birth_year as decimal(12,2))) agg6,
+        avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
+ from catalog_sales, customer_demographics cd1, 
+      customer_demographics cd2, customer, customer_address, date_dim, item
+ where cs_sold_date_sk = d_date_sk and
+       cs_item_sk = i_item_sk and
+       cs_bill_cdemo_sk = cd1.cd_demo_sk and
+       cs_bill_customer_sk = c_customer_sk and
+       cd1.cd_gender = 'F' and 
+       cd1.cd_education_status = 'Advanced Degree' and
+       c_current_cdemo_sk = cd2.cd_demo_sk and
+       c_current_addr_sk = ca_address_sk and
+       c_birth_month in (10,7,8,4,1,2) and
+       d_year = 1998 and
+       ca_state in ('WA','GA','NC'
+                   ,'ME','WY','OK','IN')
+ group by rollup (i_item_id, ca_country, ca_state, ca_county)
+ order by ca_country,
+        ca_state, 
+        ca_county,
+	i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.groovy
new file mode 100644
index 0000000000..9b2262f5b9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query19.groovy
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query19") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_19 '''
+    explain shape plan
+
+
+
+
+select  i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
+ 	sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item,customer,customer_address,store
+ where d_date_sk = ss_sold_date_sk
+   and ss_item_sk = i_item_sk
+   and i_manager_id=2
+   and d_moy=12
+   and d_year=1999
+   and ss_customer_sk = c_customer_sk 
+   and c_current_addr_sk = ca_address_sk
+   and substr(ca_zip,1,5) <> substr(s_zip,1,5) 
+   and ss_store_sk = s_store_sk 
+ group by i_brand
+      ,i_brand_id
+      ,i_manufact_id
+      ,i_manufact
+ order by ext_price desc
+         ,i_brand
+         ,i_brand_id
+         ,i_manufact_id
+         ,i_manufact
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.groovy
new file mode 100644
index 0000000000..531f68d94e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query2.groovy
@@ -0,0 +1,101 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query2") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+
+    qt_ds_shape_2 '''
+    explain shape plan
+
+
+
+
+with wscs as
+ (select sold_date_sk
+        ,sales_price
+  from (select ws_sold_date_sk sold_date_sk
+              ,ws_ext_sales_price sales_price
+        from web_sales 
+        union all
+        select cs_sold_date_sk sold_date_sk
+              ,cs_ext_sales_price sales_price
+        from catalog_sales) t),
+ wswscs as 
+ (select d_week_seq,
+        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
+ from wscs
+     ,date_dim
+ where d_date_sk = sold_date_sk
+ group by d_week_seq)
+ select d_week_seq1
+       ,round(sun_sales1/sun_sales2,2)
+       ,round(mon_sales1/mon_sales2,2)
+       ,round(tue_sales1/tue_sales2,2)
+       ,round(wed_sales1/wed_sales2,2)
+       ,round(thu_sales1/thu_sales2,2)
+       ,round(fri_sales1/fri_sales2,2)
+       ,round(sat_sales1/sat_sales2,2)
+ from
+ (select wswscs.d_week_seq d_week_seq1
+        ,sun_sales sun_sales1
+        ,mon_sales mon_sales1
+        ,tue_sales tue_sales1
+        ,wed_sales wed_sales1
+        ,thu_sales thu_sales1
+        ,fri_sales fri_sales1
+        ,sat_sales sat_sales1
+  from wswscs,date_dim 
+  where date_dim.d_week_seq = wswscs.d_week_seq and
+        d_year = 1998) y,
+ (select wswscs.d_week_seq d_week_seq2
+        ,sun_sales sun_sales2
+        ,mon_sales mon_sales2
+        ,tue_sales tue_sales2
+        ,wed_sales wed_sales2
+        ,thu_sales thu_sales2
+        ,fri_sales fri_sales2
+        ,sat_sales sat_sales2
+  from wswscs
+      ,date_dim 
+  where date_dim.d_week_seq = wswscs.d_week_seq and
+        d_year = 1998+1) z
+ where d_week_seq1=d_week_seq2-53
+ order by d_week_seq1;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.groovy
new file mode 100644
index 0000000000..989c07db0f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query20.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query20") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_20 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc 
+       ,i_category 
+       ,i_class 
+       ,i_current_price
+       ,sum(cs_ext_sales_price) as itemrevenue 
+       ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
+           (partition by i_class) as revenueratio
+ from	catalog_sales
+     ,item 
+     ,date_dim
+ where cs_item_sk = i_item_sk 
+   and i_category in ('Shoes', 'Books', 'Women')
+   and cs_sold_date_sk = d_date_sk
+ and d_date between cast('2002-01-26' as date) 
+ 				and (cast('2002-01-26' as date) + interval 30 day)
+ group by i_item_id
+         ,i_item_desc 
+         ,i_category
+         ,i_class
+         ,i_current_price
+ order by i_category
+         ,i_class
+         ,i_item_id
+         ,i_item_desc
+         ,revenueratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.groovy
new file mode 100644
index 0000000000..a7d7efc1d5
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query21.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query21") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_21 '''
+    explain shape plan
+
+
+
+
+select  *
+ from(select w_warehouse_name
+            ,i_item_id
+            ,sum(case when (cast(d_date as date) < cast ('2002-02-27' as date))
+	                then inv_quantity_on_hand 
+                      else 0 end) as inv_before
+            ,sum(case when (cast(d_date as date) >= cast ('2002-02-27' as date))
+                      then inv_quantity_on_hand 
+                      else 0 end) as inv_after
+   from inventory
+       ,warehouse
+       ,item
+       ,date_dim
+   where i_current_price between 0.99 and 1.49
+     and i_item_sk          = inv_item_sk
+     and inv_warehouse_sk   = w_warehouse_sk
+     and inv_date_sk    = d_date_sk
+     and d_date between (cast ('2002-02-27' as date) - interval 30 day)
+                    and (cast ('2002-02-27' as date) + interval 30 day)
+   group by w_warehouse_name, i_item_id) x
+ where (case when inv_before > 0 
+             then inv_after / inv_before 
+             else null
+             end) between 2.0/3.0 and 3.0/2.0
+ order by w_warehouse_name
+         ,i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.groovy
new file mode 100644
index 0000000000..81bdc718fa
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query22.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query22") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_22 '''
+    explain shape plan
+
+
+
+
+select  i_product_name
+             ,i_brand
+             ,i_class
+             ,i_category
+             ,avg(inv_quantity_on_hand) qoh
+       from inventory
+           ,date_dim
+           ,item
+       where inv_date_sk=d_date_sk
+              and inv_item_sk=i_item_sk
+              and d_month_seq between 1188 and 1188 + 11
+       group by rollup(i_product_name
+                       ,i_brand
+                       ,i_class
+                       ,i_category)
+order by qoh, i_product_name, i_brand, i_class, i_category
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.groovy
new file mode 100644
index 0000000000..b3af9ffc77
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query23.groovy
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query23") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_23 '''
+    explain shape plan
+
+
+
+with frequent_ss_items as 
+ (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
+  from store_sales
+      ,date_dim 
+      ,item
+  where ss_sold_date_sk = d_date_sk
+    and ss_item_sk = i_item_sk 
+    and d_year in (2000,2000+1,2000+2,2000+3)
+  group by substr(i_item_desc,1,30),i_item_sk,d_date
+  having count(*) >4),
+ max_store_sales as
+ (select max(csales) tpcds_cmax 
+  from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
+        from store_sales
+            ,customer
+            ,date_dim 
+        where ss_customer_sk = c_customer_sk
+         and ss_sold_date_sk = d_date_sk
+         and d_year in (2000,2000+1,2000+2,2000+3) 
+        group by c_customer_sk) t),
+ best_ss_customer as
+ (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
+  from store_sales
+      ,customer
+  where ss_customer_sk = c_customer_sk
+  group by c_customer_sk
+  having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
+  *
+from
+ max_store_sales))
+  select  sum(sales)
+ from (select cs_quantity*cs_list_price sales
+       from catalog_sales
+           ,date_dim 
+       where d_year = 2000 
+         and d_moy = 5 
+         and cs_sold_date_sk = d_date_sk 
+         and cs_item_sk in (select item_sk from frequent_ss_items)
+         and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
+      union all
+      select ws_quantity*ws_list_price sales
+       from web_sales 
+           ,date_dim 
+       where d_year = 2000 
+         and d_moy = 5 
+         and ws_sold_date_sk = d_date_sk 
+         and ws_item_sk in (select item_sk from frequent_ss_items)
+         and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)) t2 
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.groovy
new file mode 100644
index 0000000000..eb2119f8f4
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query24.groovy
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query24") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_24 '''
+          explain shape plan
+
+
+
+ with ssales as
+ (select c_last_name
+       ,c_first_name
+       ,s_store_name
+       ,ca_state
+       ,s_state
+       ,i_color
+       ,i_current_price
+       ,i_manager_id
+       ,i_units
+       ,i_size
+       ,sum(ss_net_profit) netpaid
+ from store_sales
+     ,store_returns
+     ,store
+     ,item
+     ,customer
+     ,customer_address
+ where ss_ticket_number = sr_ticket_number
+   and ss_item_sk = sr_item_sk
+   and ss_customer_sk = c_customer_sk
+   and ss_item_sk = i_item_sk
+   and ss_store_sk = s_store_sk
+   and c_current_addr_sk = ca_address_sk
+   and c_birth_country <> upper(ca_country)
+   and s_zip = ca_zip
+ and s_market_id=8
+ group by c_last_name
+         ,c_first_name
+         ,s_store_name
+         ,ca_state
+         ,s_state
+         ,i_color
+         ,i_current_price
+         ,i_manager_id
+         ,i_units
+         ,i_size)
+ select c_last_name
+       ,c_first_name
+       ,s_store_name
+       ,sum(netpaid) paid
+ from ssales
+ where i_color = 'beige'
+ group by c_last_name
+         ,c_first_name
+         ,s_store_name
+ having sum(netpaid) > (select 0.05*avg(netpaid)
+                                  from ssales)
+ order by c_last_name
+         ,c_first_name
+         ,s_store_name
+ ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.groovy
new file mode 100644
index 0000000000..350226d896
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query25.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query25") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_25 '''
+    explain shape plan
+
+
+
+select  
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ ,sum(ss_net_profit) as store_sales_profit
+ ,sum(sr_net_loss) as store_returns_loss
+ ,sum(cs_net_profit) as catalog_sales_profit
+ from
+ store_sales
+ ,store_returns
+ ,catalog_sales
+ ,date_dim d1
+ ,date_dim d2
+ ,date_dim d3
+ ,store
+ ,item
+ where
+ d1.d_moy = 4
+ and d1.d_year = 2000
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk = ss_item_sk
+ and s_store_sk = ss_store_sk
+ and ss_customer_sk = sr_customer_sk
+ and ss_item_sk = sr_item_sk
+ and ss_ticket_number = sr_ticket_number
+ and sr_returned_date_sk = d2.d_date_sk
+ and d2.d_moy               between 4 and  10
+ and d2.d_year              = 2000
+ and sr_customer_sk = cs_bill_customer_sk
+ and sr_item_sk = cs_item_sk
+ and cs_sold_date_sk = d3.d_date_sk
+ and d3.d_moy               between 4 and  10 
+ and d3.d_year              = 2000
+ group by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ order by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.groovy
new file mode 100644
index 0000000000..bb5a94bc83
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query26.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query26") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_26 '''
+    explain shape plan
+
+
+
+
+select  i_item_id, 
+        avg(cs_quantity) agg1,
+        avg(cs_list_price) agg2,
+        avg(cs_coupon_amt) agg3,
+        avg(cs_sales_price) agg4 
+ from catalog_sales, customer_demographics, date_dim, item, promotion
+ where cs_sold_date_sk = d_date_sk and
+       cs_item_sk = i_item_sk and
+       cs_bill_cdemo_sk = cd_demo_sk and
+       cs_promo_sk = p_promo_sk and
+       cd_gender = 'M' and 
+       cd_marital_status = 'S' and
+       cd_education_status = 'Unknown' and
+       (p_channel_email = 'N' or p_channel_event = 'N') and
+       d_year = 2001 
+ group by i_item_id
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.groovy
new file mode 100644
index 0000000000..c95e645ac6
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query27.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query27") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_27 '''
+    explain shape plan
+
+
+
+select  i_item_id,
+        s_state, grouping(s_state) g_state,
+        avg(ss_quantity) agg1,
+        avg(ss_list_price) agg2,
+        avg(ss_coupon_amt) agg3,
+        avg(ss_sales_price) agg4
+ from store_sales, customer_demographics, date_dim, store, item
+ where ss_sold_date_sk = d_date_sk and
+       ss_item_sk = i_item_sk and
+       ss_store_sk = s_store_sk and
+       ss_cdemo_sk = cd_demo_sk and
+       cd_gender = 'F' and
+       cd_marital_status = 'D' and
+       cd_education_status = 'Secondary' and
+       d_year = 1999 and
+       s_state in ('MO','AL', 'MI', 'TN', 'LA', 'SC')
+ group by rollup (i_item_id, s_state)
+ order by i_item_id
+         ,s_state
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.groovy
new file mode 100644
index 0000000000..ecede28c79
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query28.groovy
@@ -0,0 +1,93 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query28") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_28 '''
+    explain shape plan
+
+
+
+
+select  *
+from (select avg(ss_list_price) B1_LP
+            ,count(ss_list_price) B1_CNT
+            ,count(distinct ss_list_price) B1_CNTD
+      from store_sales
+      where ss_quantity between 0 and 5
+        and (ss_list_price between 131 and 131+10 
+             or ss_coupon_amt between 16798 and 16798+1000
+             or ss_wholesale_cost between 25 and 25+20)) B1,
+     (select avg(ss_list_price) B2_LP
+            ,count(ss_list_price) B2_CNT
+            ,count(distinct ss_list_price) B2_CNTD
+      from store_sales
+      where ss_quantity between 6 and 10
+        and (ss_list_price between 145 and 145+10
+          or ss_coupon_amt between 14792 and 14792+1000
+          or ss_wholesale_cost between 46 and 46+20)) B2,
+     (select avg(ss_list_price) B3_LP
+            ,count(ss_list_price) B3_CNT
+            ,count(distinct ss_list_price) B3_CNTD
+      from store_sales
+      where ss_quantity between 11 and 15
+        and (ss_list_price between 150 and 150+10
+          or ss_coupon_amt between 6600 and 6600+1000
+          or ss_wholesale_cost between 9 and 9+20)) B3,
+     (select avg(ss_list_price) B4_LP
+            ,count(ss_list_price) B4_CNT
+            ,count(distinct ss_list_price) B4_CNTD
+      from store_sales
+      where ss_quantity between 16 and 20
+        and (ss_list_price between 91 and 91+10
+          or ss_coupon_amt between 13493 and 13493+1000
+          or ss_wholesale_cost between 36 and 36+20)) B4,
+     (select avg(ss_list_price) B5_LP
+            ,count(ss_list_price) B5_CNT
+            ,count(distinct ss_list_price) B5_CNTD
+      from store_sales
+      where ss_quantity between 21 and 25
+        and (ss_list_price between 0 and 0+10
+          or ss_coupon_amt between 7629 and 7629+1000
+          or ss_wholesale_cost between 6 and 6+20)) B5,
+     (select avg(ss_list_price) B6_LP
+            ,count(ss_list_price) B6_CNT
+            ,count(distinct ss_list_price) B6_CNTD
+      from store_sales
+      where ss_quantity between 26 and 30
+        and (ss_list_price between 89 and 89+10
+          or ss_coupon_amt between 15257 and 15257+1000
+          or ss_wholesale_cost between 31 and 31+20)) B6
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.groovy
new file mode 100644
index 0000000000..32f92522ae
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query29.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query29") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_29 '''
+    explain shape plan
+
+
+
+
+select   
+     i_item_id
+    ,i_item_desc
+    ,s_store_id
+    ,s_store_name
+    ,avg(ss_quantity)        as store_sales_quantity
+    ,avg(sr_return_quantity) as store_returns_quantity
+    ,avg(cs_quantity)        as catalog_sales_quantity
+ from
+    store_sales
+   ,store_returns
+   ,catalog_sales
+   ,date_dim             d1
+   ,date_dim             d2
+   ,date_dim             d3
+   ,store
+   ,item
+ where
+     d1.d_moy               = 4 
+ and d1.d_year              = 1999
+ and d1.d_date_sk           = ss_sold_date_sk
+ and i_item_sk              = ss_item_sk
+ and s_store_sk             = ss_store_sk
+ and ss_customer_sk         = sr_customer_sk
+ and ss_item_sk             = sr_item_sk
+ and ss_ticket_number       = sr_ticket_number
+ and sr_returned_date_sk    = d2.d_date_sk
+ and d2.d_moy               between 4 and  4 + 3 
+ and d2.d_year              = 1999
+ and sr_customer_sk         = cs_bill_customer_sk
+ and sr_item_sk             = cs_item_sk
+ and cs_sold_date_sk        = d3.d_date_sk     
+ and d3.d_year              in (1999,1999+1,1999+2)
+ group by
+    i_item_id
+   ,i_item_desc
+   ,s_store_id
+   ,s_store_name
+ order by
+    i_item_id 
+   ,i_item_desc
+   ,s_store_id
+   ,s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.groovy
new file mode 100644
index 0000000000..606ae457a4
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query3.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query3") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+
+    qt_ds_shape_3 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year 
+       ,item.i_brand_id brand_id 
+       ,item.i_brand brand
+       ,sum(ss_sales_price) sum_agg
+ from  date_dim dt 
+      ,store_sales
+      ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+   and store_sales.ss_item_sk = item.i_item_sk
+   and item.i_manufact_id = 816
+   and dt.d_moy=11
+ group by dt.d_year
+      ,item.i_brand
+      ,item.i_brand_id
+ order by dt.d_year
+         ,sum_agg desc
+         ,brand_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.groovy
new file mode 100644
index 0000000000..3d1c5bc00a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query30.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query30") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_30 '''
+    explain shape plan
+
+
+
+
+with customer_total_return as
+ (select wr_returning_customer_sk as ctr_customer_sk
+        ,ca_state as ctr_state, 
+ 	sum(wr_return_amt) as ctr_total_return
+ from web_returns
+     ,date_dim
+     ,customer_address
+ where wr_returned_date_sk = d_date_sk 
+   and d_year =2002
+   and wr_returning_addr_sk = ca_address_sk 
+ group by wr_returning_customer_sk
+         ,ca_state)
+  select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+       ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+       ,c_last_review_date_sk,ctr_total_return
+ from customer_total_return ctr1
+     ,customer_address
+     ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ 			  from customer_total_return ctr2 
+                  	  where ctr1.ctr_state = ctr2.ctr_state)
+       and ca_address_sk = c_current_addr_sk
+       and ca_state = 'IN'
+       and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+                  ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+                  ,c_last_review_date_sk,ctr_total_return
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.groovy
new file mode 100644
index 0000000000..64d646f725
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query31.groovy
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query31") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_31 '''
+    explain shape plan
+
+
+
+
+with ss as
+ (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
+ from store_sales,date_dim,customer_address
+ where ss_sold_date_sk = d_date_sk
+  and ss_addr_sk=ca_address_sk
+ group by ca_county,d_qoy, d_year),
+ ws as
+ (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
+ from web_sales,date_dim,customer_address
+ where ws_sold_date_sk = d_date_sk
+  and ws_bill_addr_sk=ca_address_sk
+ group by ca_county,d_qoy, d_year)
+ select 
+        ss1.ca_county
+       ,ss1.d_year
+       ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
+       ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
+       ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
+       ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
+ from
+        ss ss1
+       ,ss ss2
+       ,ss ss3
+       ,ws ws1
+       ,ws ws2
+       ,ws ws3
+ where
+    ss1.d_qoy = 1
+    and ss1.d_year = 2000
+    and ss1.ca_county = ss2.ca_county
+    and ss2.d_qoy = 2
+    and ss2.d_year = 2000
+ and ss2.ca_county = ss3.ca_county
+    and ss3.d_qoy = 3
+    and ss3.d_year = 2000
+    and ss1.ca_county = ws1.ca_county
+    and ws1.d_qoy = 1
+    and ws1.d_year = 2000
+    and ws1.ca_county = ws2.ca_county
+    and ws2.d_qoy = 2
+    and ws2.d_year = 2000
+    and ws1.ca_county = ws3.ca_county
+    and ws3.d_qoy = 3
+    and ws3.d_year =2000
+    and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end 
+       > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
+    and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
+       > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
+ order by web_q1_q2_increase;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.groovy
new file mode 100644
index 0000000000..4e59ee5672
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query32.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query32") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_32 '''
+    explain shape plan
+
+
+
+
+select  sum(cs_ext_discount_amt)  as "excess discount amount" 
+from 
+   catalog_sales 
+   ,item 
+   ,date_dim
+where
+i_manufact_id = 29
+and i_item_sk = cs_item_sk 
+and d_date between '1999-01-07' and 
+        (cast('1999-01-07' as date) + interval 90 day)
+and d_date_sk = cs_sold_date_sk 
+and cs_ext_discount_amt  
+     > ( 
+         select 
+            1.3 * avg(cs_ext_discount_amt) 
+         from 
+            catalog_sales 
+           ,date_dim
+         where 
+              cs_item_sk = i_item_sk 
+          and d_date between '1999-01-07' and
+                             (cast('1999-01-07' as date) + interval 90 day)
+          and d_date_sk = cs_sold_date_sk 
+      ) 
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.groovy
new file mode 100644
index 0000000000..205e03b446
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query33.groovy
@@ -0,0 +1,115 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query33") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_33 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select
+          i_manufact_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -5 
+ group by i_manufact_id),
+ cs as (
+ select
+          i_manufact_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id               in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -5 
+ group by i_manufact_id),
+ ws as (
+ select
+          i_manufact_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id               in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -5
+ group by i_manufact_id)
+  select  i_manufact_id ,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_manufact_id
+ order by total_sales
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.groovy
new file mode 100644
index 0000000000..900e8838ec
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query34.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query34") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_34 '''
+    explain shape plan
+
+
+
+
+select c_last_name
+       ,c_first_name
+       ,c_salutation
+       ,c_preferred_cust_flag
+       ,ss_ticket_number
+       ,cnt from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,count(*) cnt
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28)
+    and (household_demographics.hd_buy_potential = '1001-5000' or
+         household_demographics.hd_buy_potential = '0-500')
+    and household_demographics.hd_vehicle_count > 0
+    and (case when household_demographics.hd_vehicle_count > 0 
+	then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count 
+	else null 
+	end)  > 1.2
+    and date_dim.d_year in (1998,1998+1,1998+2)
+    and store.s_county in ('Ziebach County','Daviess County','Walker County','Richland County',
+                           'Barrow County','Franklin Parish','Williamson County','Luce County')
+    group by ss_ticket_number,ss_customer_sk) dn,customer
+    where ss_customer_sk = c_customer_sk
+      and cnt between 15 and 20
+    order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.groovy
new file mode 100644
index 0000000000..45fe68795b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query35.groovy
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query35") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_35 '''
+    explain shape plan
+
+
+
+
+select   
+  ca_state,
+  cd_gender,
+  cd_marital_status,
+  cd_dep_count,
+  count(*) cnt1,
+  max(cd_dep_count),
+  sum(cd_dep_count),
+  max(cd_dep_count),
+  cd_dep_employed_count,
+  count(*) cnt2,
+  max(cd_dep_employed_count),
+  sum(cd_dep_employed_count),
+  max(cd_dep_employed_count),
+  cd_dep_college_count,
+  count(*) cnt3,
+  max(cd_dep_college_count),
+  sum(cd_dep_college_count),
+  max(cd_dep_college_count)
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2001 and
+                d_qoy < 4) and
+   (exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_qoy < 4) or 
+    exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_qoy < 4))
+ group by ca_state,
+          cd_gender,
+          cd_marital_status,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ order by ca_state,
+          cd_gender,
+          cd_marital_status,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.groovy
new file mode 100644
index 0000000000..a8811ca322
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query36.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query36") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_36 '''
+    explain shape plan
+
+
+
+
+select  
+    sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
+   ,i_category
+   ,i_class
+   ,grouping(i_category)+grouping(i_class) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(i_category)+grouping(i_class),
+ 	case when grouping(i_class) = 0 then i_category end 
+ 	order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent
+ from
+    store_sales
+   ,date_dim       d1
+   ,item
+   ,store
+ where
+    d1.d_year = 2002 
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk  = ss_item_sk 
+ and s_store_sk  = ss_store_sk
+ and s_state in ('SD','TN','GA','SC',
+                 'MO','AL','MI','OH')
+ group by rollup(i_category,i_class)
+ order by
+   lochierarchy desc
+  ,case when lochierarchy = 0 then i_category end
+  ,rank_within_parent
+  limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.groovy
new file mode 100644
index 0000000000..dea9c6611a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query37.groovy
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query37") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_37 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,i_current_price
+ from item, inventory, date_dim, catalog_sales
+ where i_current_price between 45 and 45 + 30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('1999-02-21' as date) and (cast('1999-02-21' as date) +  interval 60 day)
+ and i_manufact_id in (856,707,1000,747)
+ and inv_quantity_on_hand between 100 and 500
+ and cs_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.groovy
new file mode 100644
index 0000000000..f6eee2e0dd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query38.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query38") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_38 '''
+    explain shape plan
+
+
+
+
+select  count(*) from (
+    select distinct c_last_name, c_first_name, d_date
+    from store_sales, date_dim, customer
+          where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+      and store_sales.ss_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+  intersect
+    select distinct c_last_name, c_first_name, d_date
+    from catalog_sales, date_dim, customer
+          where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
+      and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+  intersect
+    select distinct c_last_name, c_first_name, d_date
+    from web_sales, date_dim, customer
+          where web_sales.ws_sold_date_sk = date_dim.d_date_sk
+      and web_sales.ws_bill_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+) hot_cust
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.groovy
new file mode 100644
index 0000000000..21ffd76819
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query39.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query39") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_39 '''
+    explain shape plan
+
+
+
+
+with inv as
+(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
+       ,stdev,mean, case mean when 0 then null else stdev/mean end cov
+ from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
+            ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
+      from inventory
+          ,item
+          ,warehouse
+          ,date_dim
+      where inv_item_sk = i_item_sk
+        and inv_warehouse_sk = w_warehouse_sk
+        and inv_date_sk = d_date_sk
+        and d_year =1998
+      group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
+ where case mean when 0 then 0 else stdev/mean end > 1)
+select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
+        ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
+from inv inv1,inv inv2
+where inv1.i_item_sk = inv2.i_item_sk
+  and inv1.w_warehouse_sk =  inv2.w_warehouse_sk
+  and inv1.d_moy=1
+  and inv2.d_moy=1+1
+order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
+        ,inv2.d_moy,inv2.mean, inv2.cov
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.groovy
new file mode 100644
index 0000000000..0e37c7479c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query4.groovy
@@ -0,0 +1,154 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query4") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_4 '''
+    explain shape plan
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
+       ,'c' sale_type
+ from customer
+     ,catalog_sales
+     ,date_dim
+ where c_customer_sk = cs_bill_customer_sk
+   and cs_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+         )
+  select  
+                  t_s_secyear.customer_id
+                 ,t_s_secyear.customer_first_name
+                 ,t_s_secyear.customer_last_name
+                 ,t_s_secyear.customer_birth_country
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_c_firstyear
+     ,year_total t_c_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_c_secyear.customer_id
+   and t_s_firstyear.customer_id = t_c_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_w_secyear.customer_id
+   and t_s_firstyear.sale_type = 's'
+   and t_c_firstyear.sale_type = 'c'
+   and t_w_firstyear.sale_type = 'w'
+   and t_s_secyear.sale_type = 's'
+   and t_c_secyear.sale_type = 'c'
+   and t_w_secyear.sale_type = 'w'
+   and t_s_firstyear.dyear =  1999
+   and t_s_secyear.dyear = 1999+1
+   and t_c_firstyear.dyear =  1999
+   and t_c_secyear.dyear =  1999+1
+   and t_w_firstyear.dyear = 1999
+   and t_w_secyear.dyear = 1999+1
+   and t_s_firstyear.year_total > 0
+   and t_c_firstyear.year_total > 0
+   and t_w_firstyear.year_total > 0
+   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
+           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
+   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
+           > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
+ order by t_s_secyear.customer_id
+         ,t_s_secyear.customer_first_name
+         ,t_s_secyear.customer_last_name
+         ,t_s_secyear.customer_birth_country
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.groovy
new file mode 100644
index 0000000000..acab07c422
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query40.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query40") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_40 '''
+    explain shape plan
+
+
+
+select  
+   w_state
+  ,i_item_id
+  ,sum(case when (cast(d_date as date) < cast ('2001-04-02' as date)) 
+ 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before
+  ,sum(case when (cast(d_date as date) >= cast ('2001-04-02' as date)) 
+ 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after
+ from
+   catalog_sales left outer join catalog_returns on
+       (cs_order_number = cr_order_number 
+        and cs_item_sk = cr_item_sk)
+  ,warehouse 
+  ,item
+  ,date_dim
+ where
+     i_current_price between 0.99 and 1.49
+ and i_item_sk          = cs_item_sk
+ and cs_warehouse_sk    = w_warehouse_sk 
+ and cs_sold_date_sk    = d_date_sk
+ and d_date between (cast ('2001-04-02' as date) - interval 30 day)
+                and (cast ('2001-04-02' as date) + interval 30 day) 
+ group by
+    w_state,i_item_id
+ order by w_state,i_item_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.groovy
new file mode 100644
index 0000000000..888c67135f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query41.groovy
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query41") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_41 '''
+    explain shape plan
+
+
+
+
+select  distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 748 and 748+40 
+   and (select count(*) as item_cnt
+        from item
+        where (i_manufact = i1.i_manufact and
+        ((i_category = 'Women' and 
+        (i_color = 'gainsboro' or i_color = 'aquamarine') and 
+        (i_units = 'Ounce' or i_units = 'Dozen') and
+        (i_size = 'medium' or i_size = 'economy')
+        ) or
+        (i_category = 'Women' and
+        (i_color = 'chiffon' or i_color = 'violet') and
+        (i_units = 'Ton' or i_units = 'Pound') and
+        (i_size = 'extra large' or i_size = 'small')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'chartreuse' or i_color = 'blue') and
+        (i_units = 'Each' or i_units = 'Oz') and
+        (i_size = 'N/A' or i_size = 'large')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'tan' or i_color = 'dodger') and
+        (i_units = 'Bunch' or i_units = 'Tsp') and
+        (i_size = 'medium' or i_size = 'economy')
+        ))) or
+       (i_manufact = i1.i_manufact and
+        ((i_category = 'Women' and 
+        (i_color = 'blanched' or i_color = 'tomato') and 
+        (i_units = 'Tbl' or i_units = 'Case') and
+        (i_size = 'medium' or i_size = 'economy')
+        ) or
+        (i_category = 'Women' and
+        (i_color = 'almond' or i_color = 'lime') and
+        (i_units = 'Box' or i_units = 'Dram') and
+        (i_size = 'extra large' or i_size = 'small')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'peru' or i_color = 'saddle') and
+        (i_units = 'Pallet' or i_units = 'Gram') and
+        (i_size = 'N/A' or i_size = 'large')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'indian' or i_color = 'spring') and
+        (i_units = 'Unknown' or i_units = 'Carton') and
+        (i_size = 'medium' or i_size = 'economy')
+        )))) > 0
+ order by i_product_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.groovy
new file mode 100644
index 0000000000..991f697d71
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query42.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query42") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_42 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year
+ 	,item.i_category_id
+ 	,item.i_category
+ 	,sum(ss_ext_sales_price)
+ from 	date_dim dt
+ 	,store_sales
+ 	,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+ 	and store_sales.ss_item_sk = item.i_item_sk
+ 	and item.i_manager_id = 1  	
+ 	and dt.d_moy=11
+ 	and dt.d_year=2002
+ group by 	dt.d_year
+ 		,item.i_category_id
+ 		,item.i_category
+ order by       sum(ss_ext_sales_price) desc,dt.d_year
+ 		,item.i_category_id
+ 		,item.i_category
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.groovy
new file mode 100644
index 0000000000..f5c58e3e37
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query43.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query43") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_43 '''
+    explain shape plan
+
+
+
+
+select  s_store_name, s_store_id,
+        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from date_dim, store_sales, store
+ where d_date_sk = ss_sold_date_sk and
+       s_store_sk = ss_store_sk and
+       s_gmt_offset = -5 and
+       d_year = 2000 
+ group by s_store_name, s_store_id
+ order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.groovy
new file mode 100644
index 0000000000..f814fa09fe
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query44.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query44") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_44 '''
+    explain shape plan
+
+
+
+
+select  asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
+from(select *
+     from (select item_sk,rank() over (order by rank_col asc) rnk
+           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col 
+                 from store_sales ss1
+                 where ss_store_sk = 146
+                 group by ss_item_sk
+                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
+                                                  from store_sales
+                                                  where ss_store_sk = 146
+                                                    and ss_addr_sk is null
+                                                  group by ss_store_sk))V1)V11
+     where rnk  < 11) asceding,
+    (select *
+     from (select item_sk,rank() over (order by rank_col desc) rnk
+           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
+                 from store_sales ss1
+                 where ss_store_sk = 146
+                 group by ss_item_sk
+                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
+                                                  from store_sales
+                                                  where ss_store_sk = 146
+                                                    and ss_addr_sk is null
+                                                  group by ss_store_sk))V2)V21
+     where rnk  < 11) descending,
+item i1,
+item i2
+where asceding.rnk = descending.rnk 
+  and i1.i_item_sk=asceding.item_sk
+  and i2.i_item_sk=descending.item_sk
+order by asceding.rnk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.groovy
new file mode 100644
index 0000000000..d6130d3924
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query45.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query45") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_45 '''
+    explain shape plan
+
+
+
+
+select  ca_zip, ca_city, sum(ws_sales_price)
+ from web_sales, customer, customer_address, date_dim, item
+ where ws_bill_customer_sk = c_customer_sk
+ 	and c_current_addr_sk = ca_address_sk 
+ 	and ws_item_sk = i_item_sk 
+ 	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792')
+ 	      or 
+ 	      i_item_id in (select i_item_id
+                             from item
+                             where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
+                             )
+ 	    )
+ 	and ws_sold_date_sk = d_date_sk
+ 	and d_qoy = 2 and d_year = 2000
+ group by ca_zip, ca_city
+ order by ca_zip, ca_city
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.groovy
new file mode 100644
index 0000000000..31e080e488
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query46.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query46") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_46 '''
+    explain shape plan
+
+
+
+
+select  c_last_name
+       ,c_first_name
+       ,ca_city
+       ,bought_city
+       ,ss_ticket_number
+       ,amt,profit 
+ from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,ca_city bought_city
+          ,sum(ss_coupon_amt) amt
+          ,sum(ss_net_profit) profit
+    from store_sales,date_dim,store,household_demographics,customer_address 
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and store_sales.ss_addr_sk = customer_address.ca_address_sk
+    and (household_demographics.hd_dep_count = 6 or
+         household_demographics.hd_vehicle_count= 0)
+    and date_dim.d_dow in (6,0)
+    and date_dim.d_year in (1999,1999+1,1999+2) 
+    and store.s_city in ('Five Points','Centerville','Oak Grove','Fairview','Liberty') 
+    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr
+    where ss_customer_sk = c_customer_sk
+      and customer.c_current_addr_sk = current_addr.ca_address_sk
+      and current_addr.ca_city <> bought_city
+  order by c_last_name
+          ,c_first_name
+          ,ca_city
+          ,bought_city
+          ,ss_ticket_number
+  limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.groovy
new file mode 100644
index 0000000000..8b0b8d68cb
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query47.groovy
@@ -0,0 +1,89 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query47") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_47 '''
+    explain shape plan
+
+
+with v1 as(
+ select i_category, i_brand,
+        s_store_name, s_company_name,
+        d_year, d_moy,
+        sum(ss_sales_price) sum_sales,
+        avg(sum(ss_sales_price)) over
+          (partition by i_category, i_brand,
+                     s_store_name, s_company_name, d_year)
+          avg_monthly_sales,
+        rank() over
+          (partition by i_category, i_brand,
+                     s_store_name, s_company_name
+           order by d_year, d_moy) rn
+ from item, store_sales, date_dim, store
+ where ss_item_sk = i_item_sk and
+       ss_sold_date_sk = d_date_sk and
+       ss_store_sk = s_store_sk and
+       (
+         d_year = 2001 or
+         ( d_year = 2001-1 and d_moy =12) or
+         ( d_year = 2001+1 and d_moy =1)
+       )
+ group by i_category, i_brand,
+          s_store_name, s_company_name,
+          d_year, d_moy),
+ v2 as(
+ select v1.s_store_name
+        ,v1.d_year
+        ,v1.avg_monthly_sales
+        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
+ from v1, v1 v1_lag, v1 v1_lead
+ where v1.i_category = v1_lag.i_category and
+       v1.i_category = v1_lead.i_category and
+       v1.i_brand = v1_lag.i_brand and
+       v1.i_brand = v1_lead.i_brand and
+       v1.s_store_name = v1_lag.s_store_name and
+       v1.s_store_name = v1_lead.s_store_name and
+       v1.s_company_name = v1_lag.s_company_name and
+       v1.s_company_name = v1_lead.s_company_name and
+       v1.rn = v1_lag.rn + 1 and
+       v1.rn = v1_lead.rn - 1)
+  select  *
+ from v2
+ where  d_year = 2001 and    
+        avg_monthly_sales > 0 and
+        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+ order by sum_sales - avg_monthly_sales, nsum
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.groovy
new file mode 100644
index 0000000000..f5537fe681
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query48.groovy
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query48") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_48 '''
+    explain shape plan
+
+
+
+
+select sum (ss_quantity)
+ from store_sales, store, customer_demographics, customer_address, date_dim
+ where s_store_sk = ss_store_sk
+ and  ss_sold_date_sk = d_date_sk and d_year = 1999
+ and  
+ (
+  (
+   cd_demo_sk = ss_cdemo_sk
+   and 
+   cd_marital_status = 'U'
+   and 
+   cd_education_status = 'Primary'
+   and 
+   ss_sales_price between 100.00 and 150.00  
+   )
+ or
+  (
+  cd_demo_sk = ss_cdemo_sk
+   and 
+   cd_marital_status = 'W'
+   and 
+   cd_education_status = 'College'
+   and 
+   ss_sales_price between 50.00 and 100.00   
+  )
+ or 
+ (
+  cd_demo_sk = ss_cdemo_sk
+  and 
+   cd_marital_status = 'D'
+   and 
+   cd_education_status = '2 yr Degree'
+   and 
+   ss_sales_price between 150.00 and 200.00  
+ )
+ )
+ and
+ (
+  (
+  ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('MD', 'MN', 'IA')
+  and ss_net_profit between 0 and 2000  
+  )
+ or
+  (ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('VA', 'IL', 'TX')
+  and ss_net_profit between 150 and 3000 
+  )
+ or
+  (ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('MI', 'WI', 'IN')
+  and ss_net_profit between 50 and 25000 
+  )
+ )
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.groovy
new file mode 100644
index 0000000000..c0042cb8d8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query49.groovy
@@ -0,0 +1,169 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query49") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_49 '''
+    explain shape plan
+
+
+
+
+select  channel, item, return_ratio, return_rank, currency_rank from
+ (select
+ 'web' as channel
+ ,web.item
+ ,web.return_ratio
+ ,web.return_rank
+ ,web.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select ws.ws_item_sk as item
+ 		,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		 web_sales ws left outer join web_returns wr 
+ 			on (ws.ws_order_number = wr.wr_order_number and 
+ 			ws.ws_item_sk = wr.wr_item_sk)
+                 ,date_dim
+ 		where 
+ 			wr.wr_return_amt > 10000 
+ 			and ws.ws_net_profit > 1
+                         and ws.ws_net_paid > 0
+                         and ws.ws_quantity > 0
+                         and ws_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+ 		group by ws.ws_item_sk
+ 	) in_web
+ ) web
+ where 
+ (
+ web.return_rank <= 10
+ or
+ web.currency_rank <= 10
+ )
+ union
+ select 
+ 'catalog' as channel
+ ,catalog.item
+ ,catalog.return_ratio
+ ,catalog.return_rank
+ ,catalog.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select 
+ 		cs.cs_item_sk as item
+ 		,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		catalog_sales cs left outer join catalog_returns cr
+ 			on (cs.cs_order_number = cr.cr_order_number and 
+ 			cs.cs_item_sk = cr.cr_item_sk)
+                ,date_dim
+ 		where 
+ 			cr.cr_return_amount > 10000 
+ 			and cs.cs_net_profit > 1
+                         and cs.cs_net_paid > 0
+                         and cs.cs_quantity > 0
+                         and cs_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+                 group by cs.cs_item_sk
+ 	) in_cat
+ ) catalog
+ where 
+ (
+ catalog.return_rank <= 10
+ or
+ catalog.currency_rank <=10
+ )
+ union
+ select 
+ 'store' as channel
+ ,store.item
+ ,store.return_ratio
+ ,store.return_rank
+ ,store.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select sts.ss_item_sk as item
+ 		,(cast(sum(coalesce(sr.sr_return_quantity,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		store_sales sts left outer join store_returns sr
+ 			on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk)
+                ,date_dim
+ 		where 
+ 			sr.sr_return_amt > 10000 
+ 			and sts.ss_net_profit > 1
+                         and sts.ss_net_paid > 0 
+                         and sts.ss_quantity > 0
+                         and ss_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+ 		group by sts.ss_item_sk
+ 	) in_store
+ ) store
+ where  (
+ store.return_rank <= 10
+ or 
+ store.currency_rank <= 10
+ )
+ )
+  t order by 1,4,5,2
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.groovy
new file mode 100644
index 0000000000..85b533ae51
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query5.groovy
@@ -0,0 +1,168 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query5") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_5 '''
+    explain shape plan
+
+
+
+
+with ssr as
+ (select s_store_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  ss_store_sk as store_sk,
+            ss_sold_date_sk  as date_sk,
+            ss_ext_sales_price as sales_price,
+            ss_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from store_sales
+    union all
+    select sr_store_sk as store_sk,
+           sr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           sr_return_amt as return_amt,
+           sr_net_loss as net_loss
+    from store_returns
+   ) salesreturns,
+     date_dim,
+     store
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date) 
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and store_sk = s_store_sk
+ group by s_store_id)
+ ,
+ csr as
+ (select cp_catalog_page_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  cs_catalog_page_sk as page_sk,
+            cs_sold_date_sk  as date_sk,
+            cs_ext_sales_price as sales_price,
+            cs_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from catalog_sales
+    union all
+    select cr_catalog_page_sk as page_sk,
+           cr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           cr_return_amount as return_amt,
+           cr_net_loss as net_loss
+    from catalog_returns
+   ) salesreturns,
+     date_dim,
+     catalog_page
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date)
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and page_sk = cp_catalog_page_sk
+ group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select web_site_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  ws_web_site_sk as wsr_web_site_sk,
+            ws_sold_date_sk  as date_sk,
+            ws_ext_sales_price as sales_price,
+            ws_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from web_sales
+    union all
+    select ws_web_site_sk as wsr_web_site_sk,
+           wr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           wr_return_amt as return_amt,
+           wr_net_loss as net_loss
+    from web_returns left outer join web_sales on
+         ( wr_item_sk = ws_item_sk
+           and wr_order_number = ws_order_number)
+   ) salesreturns,
+     date_dim,
+     web_site
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date)
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and wsr_web_site_sk = web_site_sk
+ group by web_site_id)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , concat('store', s_store_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from   ssr
+ union all
+ select 'catalog channel' as channel
+        , concat('catalog_page', cp_catalog_page_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from  csr
+ union all
+ select 'web channel' as channel
+        , concat('web_site', web_site_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from   wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.groovy
new file mode 100644
index 0000000000..f2e6b2b43c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query50.groovy
@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query50") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_50 '''
+    explain shape plan
+
+
+
+
+select  
+   s_store_name
+  ,s_company_id
+  ,s_street_number
+  ,s_street_name
+  ,s_street_type
+  ,s_suite_number
+  ,s_city
+  ,s_county
+  ,s_state
+  ,s_zip
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and 
+                 (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and 
+                 (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
+                 (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   store_sales
+  ,store_returns
+  ,store
+  ,date_dim d1
+  ,date_dim d2
+where
+    d2.d_year = 2001
+and d2.d_moy  = 8
+and ss_ticket_number = sr_ticket_number
+and ss_item_sk = sr_item_sk
+and ss_sold_date_sk   = d1.d_date_sk
+and sr_returned_date_sk   = d2.d_date_sk
+and ss_customer_sk = sr_customer_sk
+and ss_store_sk = s_store_sk
+group by
+   s_store_name
+  ,s_company_id
+  ,s_street_number
+  ,s_street_name
+  ,s_street_type
+  ,s_suite_number
+  ,s_city
+  ,s_county
+  ,s_state
+  ,s_zip
+order by s_store_name
+        ,s_company_id
+        ,s_street_number
+        ,s_street_name
+        ,s_street_type
+        ,s_suite_number
+        ,s_city
+        ,s_county
+        ,s_state
+        ,s_zip
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.groovy
new file mode 100644
index 0000000000..89de95ce8f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query51.groovy
@@ -0,0 +1,85 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query51") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_51 '''
+    explain shape plan
+
+
+
+
+WITH web_v1 as (
+select
+  ws_item_sk item_sk, d_date,
+  sum(sum(ws_sales_price))
+      over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from web_sales
+    ,date_dim
+where ws_sold_date_sk=d_date_sk
+  and d_month_seq between 1216 and 1216+11
+  and ws_item_sk is not NULL
+group by ws_item_sk, d_date),
+store_v1 as (
+select
+  ss_item_sk item_sk, d_date,
+  sum(sum(ss_sales_price))
+      over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from store_sales
+    ,date_dim
+where ss_sold_date_sk=d_date_sk
+  and d_month_seq between 1216 and 1216+11
+  and ss_item_sk is not NULL
+group by ss_item_sk, d_date)
+ select  *
+from (select item_sk
+     ,d_date
+     ,web_sales
+     ,store_sales
+     ,max(web_sales)
+         over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
+     ,max(store_sales)
+         over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
+     from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
+                 ,case when web.d_date is not null then web.d_date else store.d_date end d_date
+                 ,web.cume_sales web_sales
+                 ,store.cume_sales store_sales
+           from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
+                                                          and web.d_date = store.d_date)
+          )x )y
+where web_cumulative > store_cumulative
+order by item_sk
+        ,d_date
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.groovy
new file mode 100644
index 0000000000..7663fa50ee
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query52.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query52") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_52 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year
+ 	,item.i_brand_id brand_id
+ 	,item.i_brand brand
+ 	,sum(ss_ext_sales_price) ext_price
+ from date_dim dt
+     ,store_sales
+     ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+    and store_sales.ss_item_sk = item.i_item_sk
+    and item.i_manager_id = 1
+    and dt.d_moy=12
+    and dt.d_year=2002
+ group by dt.d_year
+ 	,item.i_brand
+ 	,item.i_brand_id
+ order by dt.d_year
+ 	,ext_price desc
+ 	,brand_id
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.groovy
new file mode 100644
index 0000000000..ec8b6b6463
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query53.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query53") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_53 '''
+    explain shape plan
+
+
+
+
+select  * from 
+(select i_manufact_id,
+sum(ss_sales_price) sum_sales,
+avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales
+from item, store_sales, date_dim, store
+where ss_item_sk = i_item_sk and
+ss_sold_date_sk = d_date_sk and
+ss_store_sk = s_store_sk and
+d_month_seq in (1200,1200+1,1200+2,1200+3,1200+4,1200+5,1200+6,1200+7,1200+8,1200+9,1200+10,1200+11) and
+((i_category in ('Books','Children','Electronics') and
+i_class in ('personal','portable','reference','self-help') and
+i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
+		'exportiunivamalg #9','scholaramalgamalg #9'))
+or(i_category in ('Women','Music','Men') and
+i_class in ('accessories','classical','fragrances','pants') and
+i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
+		'importoamalg #1')))
+group by i_manufact_id, d_qoy ) tmp1
+where case when avg_quarterly_sales > 0 
+	then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales 
+	else null end > 0.1
+order by avg_quarterly_sales,
+	 sum_sales,
+	 i_manufact_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.groovy
new file mode 100644
index 0000000000..7e1bc91904
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query54.groovy
@@ -0,0 +1,96 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query54") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_54 '''
+    explain shape plan
+
+
+
+
+with my_customers as (
+ select distinct c_customer_sk
+        , c_current_addr_sk
+ from   
+        ( select cs_sold_date_sk sold_date_sk,
+                 cs_bill_customer_sk customer_sk,
+                 cs_item_sk item_sk
+          from   catalog_sales
+          union all
+          select ws_sold_date_sk sold_date_sk,
+                 ws_bill_customer_sk customer_sk,
+                 ws_item_sk item_sk
+          from   web_sales
+         ) cs_or_ws_sales,
+         item,
+         date_dim,
+         customer
+ where   sold_date_sk = d_date_sk
+         and item_sk = i_item_sk
+         and i_category = 'Women'
+         and i_class = 'maternity'
+         and c_customer_sk = cs_or_ws_sales.customer_sk
+         and d_moy = 5
+         and d_year = 1998
+ )
+ , my_revenue as (
+ select c_customer_sk,
+        sum(ss_ext_sales_price) as revenue
+ from   my_customers,
+        store_sales,
+        customer_address,
+        store,
+        date_dim
+ where  c_current_addr_sk = ca_address_sk
+        and ca_county = s_county
+        and ca_state = s_state
+        and ss_sold_date_sk = d_date_sk
+        and c_customer_sk = ss_customer_sk
+        and d_month_seq between (select distinct d_month_seq+1
+                                 from   date_dim where d_year = 1998 and d_moy = 5)
+                           and  (select distinct d_month_seq+3
+                                 from   date_dim where d_year = 1998 and d_moy = 5)
+ group by c_customer_sk
+ )
+ , segments as
+ (select cast((revenue/50) as int) as segment
+  from   my_revenue
+ )
+  select  segment, count(*) as num_customers, segment*50 as segment_base
+ from segments
+ group by segment
+ order by segment, num_customers
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.groovy
new file mode 100644
index 0000000000..a5f2996615
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query55.groovy
@@ -0,0 +1,54 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query55") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_55 '''
+    explain shape plan
+
+
+
+
+select  i_brand_id brand_id, i_brand brand,
+ 	sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item
+ where d_date_sk = ss_sold_date_sk
+ 	and ss_item_sk = i_item_sk
+ 	and i_manager_id=100
+ 	and d_moy=12
+ 	and d_year=2000
+ group by i_brand, i_brand_id
+ order by ext_price desc, i_brand_id
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.groovy
new file mode 100644
index 0000000000..c1f13f6b57
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query56.groovy
@@ -0,0 +1,109 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query56") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_56 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where i_item_id in (select
+     i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -6 
+ group by i_item_id),
+ cs as (
+ select i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -6 
+ group by i_item_id),
+ ws as (
+ select i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -6
+ group by i_item_id)
+  select  i_item_id ,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_item_id
+ order by total_sales,
+          i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.groovy
new file mode 100644
index 0000000000..93b8a90653
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query57.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query57") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_57 '''
+    explain shape plan
+
+
+
+with v1 as(
+ select i_category, i_brand,
+        cc_name,
+        d_year, d_moy,
+        sum(cs_sales_price) sum_sales,
+        avg(sum(cs_sales_price)) over
+          (partition by i_category, i_brand,
+                     cc_name, d_year)
+          avg_monthly_sales,
+        rank() over
+          (partition by i_category, i_brand,
+                     cc_name
+           order by d_year, d_moy) rn
+ from item, catalog_sales, date_dim, call_center
+ where cs_item_sk = i_item_sk and
+       cs_sold_date_sk = d_date_sk and
+       cc_call_center_sk= cs_call_center_sk and
+       (
+         d_year = 1999 or
+         ( d_year = 1999-1 and d_moy =12) or
+         ( d_year = 1999+1 and d_moy =1)
+       )
+ group by i_category, i_brand,
+          cc_name , d_year, d_moy),
+ v2 as(
+ select v1.i_brand
+        ,v1.d_year
+        ,v1.avg_monthly_sales
+        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
+ from v1, v1 v1_lag, v1 v1_lead
+ where v1.i_category = v1_lag.i_category and
+       v1.i_category = v1_lead.i_category and
+       v1.i_brand = v1_lag.i_brand and
+       v1.i_brand = v1_lead.i_brand and
+       v1. cc_name = v1_lag. cc_name and
+       v1. cc_name = v1_lead. cc_name and
+       v1.rn = v1_lag.rn + 1 and
+       v1.rn = v1_lead.rn - 1)
+  select  *
+ from v2
+ where  d_year = 1999 and
+        avg_monthly_sales > 0 and
+        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+ order by sum_sales - avg_monthly_sales, nsum
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.groovy
new file mode 100644
index 0000000000..accdbad595
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query58.groovy
@@ -0,0 +1,105 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query58") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_58 '''
+    explain shape plan
+
+
+
+
+with ss_items as
+ (select i_item_id item_id
+        ,sum(ss_ext_sales_price) ss_item_rev 
+ from store_sales
+     ,item
+     ,date_dim
+ where ss_item_sk = i_item_sk
+   and d_date in (select d_date
+                  from date_dim
+                  where d_week_seq = (select d_week_seq 
+                                      from date_dim
+                                      where d_date = '2001-03-24'))
+   and ss_sold_date_sk   = d_date_sk
+ group by i_item_id),
+ cs_items as
+ (select i_item_id item_id
+        ,sum(cs_ext_sales_price) cs_item_rev
+  from catalog_sales
+      ,item
+      ,date_dim
+ where cs_item_sk = i_item_sk
+  and  d_date in (select d_date
+                  from date_dim
+                  where d_week_seq = (select d_week_seq 
+                                      from date_dim
+                                      where d_date = '2001-03-24'))
+  and  cs_sold_date_sk = d_date_sk
+ group by i_item_id),
+ ws_items as
+ (select i_item_id item_id
+        ,sum(ws_ext_sales_price) ws_item_rev
+  from web_sales
+      ,item
+      ,date_dim
+ where ws_item_sk = i_item_sk
+  and  d_date in (select d_date
+                  from date_dim
+                  where d_week_seq =(select d_week_seq 
+                                     from date_dim
+                                     where d_date = '2001-03-24'))
+  and ws_sold_date_sk   = d_date_sk
+ group by i_item_id)
+  select  ss_items.item_id
+       ,ss_item_rev
+       ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev
+       ,cs_item_rev
+       ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev
+       ,ws_item_rev
+       ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev
+       ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
+ from ss_items,cs_items,ws_items
+ where ss_items.item_id=cs_items.item_id
+   and ss_items.item_id=ws_items.item_id 
+   and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
+   and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
+   and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
+   and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
+   and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
+   and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
+ order by item_id
+         ,ss_item_rev
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.groovy
new file mode 100644
index 0000000000..979969e5d4
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query59.groovy
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query59") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_59 '''
+    explain shape plan
+
+
+
+with wss as 
+ (select d_week_seq,
+        ss_store_sk,
+        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from store_sales,date_dim
+ where d_date_sk = ss_sold_date_sk
+ group by d_week_seq,ss_store_sk
+ )
+  select  s_store_name1,s_store_id1,d_week_seq1
+       ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
+       ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
+       ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
+ from
+ (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
+        ,s_store_id s_store_id1,sun_sales sun_sales1
+        ,mon_sales mon_sales1,tue_sales tue_sales1
+        ,wed_sales wed_sales1,thu_sales thu_sales1
+        ,fri_sales fri_sales1,sat_sales sat_sales1
+  from wss,store,date_dim d
+  where d.d_week_seq = wss.d_week_seq and
+        ss_store_sk = s_store_sk and 
+        d_month_seq between 1196 and 1196 + 11) y,
+ (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
+        ,s_store_id s_store_id2,sun_sales sun_sales2
+        ,mon_sales mon_sales2,tue_sales tue_sales2
+        ,wed_sales wed_sales2,thu_sales thu_sales2
+        ,fri_sales fri_sales2,sat_sales sat_sales2
+  from wss,store,date_dim d
+  where d.d_week_seq = wss.d_week_seq and
+        ss_store_sk = s_store_sk and 
+        d_month_seq between 1196+ 12 and 1196 + 23) x
+ where s_store_id1=s_store_id2
+   and d_week_seq1=d_week_seq2-52
+ order by s_store_name1,s_store_id1,d_week_seq1
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.groovy
new file mode 100644
index 0000000000..f1509e5258
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query6.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query6") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    // TODO: uncomment following line to get better shape 
+    // sql 'set max_join_number_bushy_tree=6'
+
+    qt_ds_shape_6 '''
+    explain shape plan
+
+
+
+
+select  a.ca_state state, count(*) cnt
+ from customer_address a
+     ,customer c
+     ,store_sales s
+     ,date_dim d
+     ,item i
+ where       a.ca_address_sk = c.c_current_addr_sk
+ 	and c.c_customer_sk = s.ss_customer_sk
+ 	and s.ss_sold_date_sk = d.d_date_sk
+ 	and s.ss_item_sk = i.i_item_sk
+ 	and d.d_month_seq = 
+ 	     (select distinct (d_month_seq)
+ 	      from date_dim
+               where d_year = 2002
+ 	        and d_moy = 3 )
+ 	and i.i_current_price > 1.2 * 
+             (select avg(j.i_current_price) 
+ 	     from item j 
+ 	     where j.i_category = i.i_category)
+ group by a.ca_state
+ having count(*) >= 10
+ order by cnt, a.ca_state 
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.groovy
new file mode 100644
index 0000000000..b151f057ba
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query60.groovy
@@ -0,0 +1,118 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query60") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_60 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select
+          i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -7 
+ group by i_item_id),
+ cs as (
+ select
+          i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -7 
+ group by i_item_id),
+ ws as (
+ select
+          i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -7
+ group by i_item_id)
+  select   
+  i_item_id
+,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_item_id
+ order by i_item_id
+      ,total_sales
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.groovy
new file mode 100644
index 0000000000..6cd464656d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query61.groovy
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query61") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_61 '''
+    explain shape plan
+
+
+
+
+select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
+from
+  (select sum(ss_ext_sales_price) promotions
+   from  store_sales
+        ,store
+        ,promotion
+        ,date_dim
+        ,customer
+        ,customer_address 
+        ,item
+   where ss_sold_date_sk = d_date_sk
+   and   ss_store_sk = s_store_sk
+   and   ss_promo_sk = p_promo_sk
+   and   ss_customer_sk= c_customer_sk
+   and   ca_address_sk = c_current_addr_sk
+   and   ss_item_sk = i_item_sk 
+   and   ca_gmt_offset = -7
+   and   i_category = 'Jewelry'
+   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
+   and   s_gmt_offset = -7
+   and   d_year = 1999
+   and   d_moy  = 11) promotional_sales,
+  (select sum(ss_ext_sales_price) total
+   from  store_sales
+        ,store
+        ,date_dim
+        ,customer
+        ,customer_address
+        ,item
+   where ss_sold_date_sk = d_date_sk
+   and   ss_store_sk = s_store_sk
+   and   ss_customer_sk= c_customer_sk
+   and   ca_address_sk = c_current_addr_sk
+   and   ss_item_sk = i_item_sk
+   and   ca_gmt_offset = -7
+   and   i_category = 'Jewelry'
+   and   s_gmt_offset = -7
+   and   d_year = 1999
+   and   d_moy  = 11) all_sales
+order by promotions, total
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.groovy
new file mode 100644
index 0000000000..1344bc7997
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query62.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query62") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_62 '''
+    explain shape plan
+
+
+
+
+select  
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,web_name
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and 
+                 (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and 
+                 (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
+                 (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   web_sales
+  ,warehouse
+  ,ship_mode
+  ,web_site
+  ,date_dim
+where
+    d_month_seq between 1194 and 1194 + 11
+and ws_ship_date_sk   = d_date_sk
+and ws_warehouse_sk   = w_warehouse_sk
+and ws_ship_mode_sk   = sm_ship_mode_sk
+and ws_web_site_sk    = web_site_sk
+group by
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,web_name
+order by substr(w_warehouse_name,1,20)
+        ,sm_type
+       ,web_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.groovy
new file mode 100644
index 0000000000..f0e32f0ae8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query63.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query63") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_63 '''
+    explain shape plan
+
+
+
+
+select  * 
+from (select i_manager_id
+             ,sum(ss_sales_price) sum_sales
+             ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
+      from item
+          ,store_sales
+          ,date_dim
+          ,store
+      where ss_item_sk = i_item_sk
+        and ss_sold_date_sk = d_date_sk
+        and ss_store_sk = s_store_sk
+        and d_month_seq in (1181,1181+1,1181+2,1181+3,1181+4,1181+5,1181+6,1181+7,1181+8,1181+9,1181+10,1181+11)
+        and ((    i_category in ('Books','Children','Electronics')
+              and i_class in ('personal','portable','reference','self-help')
+              and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
+		                  'exportiunivamalg #9','scholaramalgamalg #9'))
+           or(    i_category in ('Women','Music','Men')
+              and i_class in ('accessories','classical','fragrances','pants')
+              and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
+		                 'importoamalg #1')))
+group by i_manager_id, d_moy) tmp1
+where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+order by i_manager_id
+        ,avg_monthly_sales
+        ,sum_sales
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.groovy
new file mode 100644
index 0000000000..89bcd5d85a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query64.groovy
@@ -0,0 +1,159 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query64") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    def ds64 = '''
+ with cs_ui as
+  (select cs_item_sk
+         ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
+   from catalog_sales
+       ,catalog_returns
+   where cs_item_sk = cr_item_sk
+     and cs_order_number = cr_order_number
+   group by cs_item_sk
+   having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
+ cross_sales as
+  (select i_product_name product_name
+      ,i_item_sk item_sk
+      ,s_store_name store_name
+      ,s_zip store_zip
+      ,ad1.ca_street_number b_street_number
+      ,ad1.ca_street_name b_street_name
+      ,ad1.ca_city b_city
+      ,ad1.ca_zip b_zip
+      ,ad2.ca_street_number c_street_number
+      ,ad2.ca_street_name c_street_name
+      ,ad2.ca_city c_city
+      ,ad2.ca_zip c_zip
+      ,d1.d_year as syear
+      ,d2.d_year as fsyear
+      ,d3.d_year s2year
+      ,count(*) cnt
+      ,sum(ss_wholesale_cost) s1
+      ,sum(ss_list_price) s2
+      ,sum(ss_coupon_amt) s3
+   FROM   store_sales
+         ,store_returns
+         ,cs_ui
+         ,date_dim d1
+         ,date_dim d2
+         ,date_dim d3
+         ,store
+         ,customer
+         ,customer_demographics cd1
+         ,customer_demographics cd2
+         ,promotion
+         ,household_demographics hd1
+         ,household_demographics hd2
+         ,customer_address ad1
+         ,customer_address ad2
+         ,income_band ib1
+         ,income_band ib2
+         ,item
+   WHERE  ss_store_sk = s_store_sk AND
+          ss_sold_date_sk = d1.d_date_sk AND
+          ss_customer_sk = c_customer_sk AND
+          ss_cdemo_sk= cd1.cd_demo_sk AND
+          ss_hdemo_sk = hd1.hd_demo_sk AND
+          ss_addr_sk = ad1.ca_address_sk and
+          ss_item_sk = i_item_sk and
+          ss_item_sk = sr_item_sk and
+          ss_ticket_number = sr_ticket_number and
+          ss_item_sk = cs_ui.cs_item_sk and
+          c_current_cdemo_sk = cd2.cd_demo_sk AND
+          c_current_hdemo_sk = hd2.hd_demo_sk AND
+          c_current_addr_sk = ad2.ca_address_sk and
+          c_first_sales_date_sk = d2.d_date_sk and
+          c_first_shipto_date_sk = d3.d_date_sk and
+          ss_promo_sk = p_promo_sk and
+          hd1.hd_income_band_sk = ib1.ib_income_band_sk and
+          hd2.hd_income_band_sk = ib2.ib_income_band_sk and
+          cd1.cd_marital_status <> cd2.cd_marital_status and
+          i_color in ('blanched','medium','brown','chocolate','burlywood','drab') and
+          i_current_price between 23 and 23 + 10 and
+          i_current_price between 23 + 1 and 23 + 15
+ group by i_product_name
+        ,i_item_sk
+        ,s_store_name
+        ,s_zip
+        ,ad1.ca_street_number
+        ,ad1.ca_street_name
+        ,ad1.ca_city
+        ,ad1.ca_zip
+        ,ad2.ca_street_number
+        ,ad2.ca_street_name
+        ,ad2.ca_city
+        ,ad2.ca_zip
+        ,d1.d_year
+        ,d2.d_year
+        ,d3.d_year
+ )
+ select cs1.product_name
+      ,cs1.store_name
+      ,cs1.store_zip
+      ,cs1.b_street_number
+      ,cs1.b_street_name
+      ,cs1.b_city
+      ,cs1.b_zip
+      ,cs1.c_street_number
+      ,cs1.c_street_name
+      ,cs1.c_city
+      ,cs1.c_zip
+      ,cs1.syear
+      ,cs1.cnt
+      ,cs1.s1 as s11
+      ,cs1.s2 as s21
+      ,cs1.s3 as s31
+      ,cs2.s1 as s12
+      ,cs2.s2 as s22
+      ,cs2.s3 as s32
+      ,cs2.syear
+      ,cs2.cnt
+ from cross_sales cs1,cross_sales cs2
+ where cs1.item_sk=cs2.item_sk and
+      cs1.syear = 2001 and
+      cs2.syear = 2001 + 1 and
+      cs2.cnt <= cs1.cnt and
+      cs1.store_name = cs2.store_name and
+      cs1.store_zip = cs2.store_zip
+ order by cs1.product_name
+        ,cs1.store_name
+        ,cs2.cnt
+        ,cs1.s1
+        ,cs2.s1;
+
+    '''
+
+   qt_ds_shape_64 'explain shape plan ' + ds64
+
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.groovy
new file mode 100644
index 0000000000..40a604f7f3
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query65.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query65") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_65 '''
+    explain shape plan
+
+
+
+
+select 
+	s_store_name,
+	i_item_desc,
+	sc.revenue,
+	i_current_price,
+	i_wholesale_cost,
+	i_brand
+ from store, item,
+     (select ss_store_sk, avg(revenue) as ave
+ 	from
+ 	    (select  ss_store_sk, ss_item_sk, 
+ 		     sum(ss_sales_price) as revenue
+ 		from store_sales, date_dim
+ 		where ss_sold_date_sk = d_date_sk and d_month_seq between 1221 and 1221+11
+ 		group by ss_store_sk, ss_item_sk) sa
+ 	group by ss_store_sk) sb,
+     (select  ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue
+ 	from store_sales, date_dim
+ 	where ss_sold_date_sk = d_date_sk and d_month_seq between 1221 and 1221+11
+ 	group by ss_store_sk, ss_item_sk) sc
+ where sb.ss_store_sk = sc.ss_store_sk and 
+       sc.revenue <= 0.1 * sb.ave and
+       s_store_sk = sc.ss_store_sk and
+       i_item_sk = sc.ss_item_sk
+ order by s_store_name, i_item_desc
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.groovy
new file mode 100644
index 0000000000..450cb99401
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query66.groovy
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query66") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_66 '''
+    explain shape plan
+
+
+
+
+select   
+         w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+        ,ship_carriers
+        ,year
+ 	,sum(jan_sales) as jan_sales
+ 	,sum(feb_sales) as feb_sales
+ 	,sum(mar_sales) as mar_sales
+ 	,sum(apr_sales) as apr_sales
+ 	,sum(may_sales) as may_sales
+ 	,sum(jun_sales) as jun_sales
+ 	,sum(jul_sales) as jul_sales
+ 	,sum(aug_sales) as aug_sales
+ 	,sum(sep_sales) as sep_sales
+ 	,sum(oct_sales) as oct_sales
+ 	,sum(nov_sales) as nov_sales
+ 	,sum(dec_sales) as dec_sales
+ 	,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
+ 	,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
+ 	,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
+ 	,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
+ 	,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
+ 	,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
+ 	,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
+ 	,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
+ 	,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
+ 	,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
+ 	,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
+ 	,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
+ 	,sum(jan_net) as jan_net
+ 	,sum(feb_net) as feb_net
+ 	,sum(mar_net) as mar_net
+ 	,sum(apr_net) as apr_net
+ 	,sum(may_net) as may_net
+ 	,sum(jun_net) as jun_net
+ 	,sum(jul_net) as jul_net
+ 	,sum(aug_net) as aug_net
+ 	,sum(sep_net) as sep_net
+ 	,sum(oct_net) as oct_net
+ 	,sum(nov_net) as nov_net
+ 	,sum(dec_net) as dec_net
+ from (
+     select 
+ 	w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,concat(concat('GREAT EASTERN ', ','), ' LATVIAN') as ship_carriers
+       ,d_year as year
+ 	,sum(case when d_moy = 1 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jan_sales
+ 	,sum(case when d_moy = 2 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as feb_sales
+ 	,sum(case when d_moy = 3 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as mar_sales
+ 	,sum(case when d_moy = 4 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as apr_sales
+ 	,sum(case when d_moy = 5 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as may_sales
+ 	,sum(case when d_moy = 6 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jun_sales
+ 	,sum(case when d_moy = 7 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jul_sales
+ 	,sum(case when d_moy = 8 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as aug_sales
+ 	,sum(case when d_moy = 9 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as sep_sales
+ 	,sum(case when d_moy = 10 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as oct_sales
+ 	,sum(case when d_moy = 11
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as nov_sales
+ 	,sum(case when d_moy = 12
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as dec_sales
+ 	,sum(case when d_moy = 1 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jan_net
+ 	,sum(case when d_moy = 2
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as feb_net
+ 	,sum(case when d_moy = 3 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as mar_net
+ 	,sum(case when d_moy = 4 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as apr_net
+ 	,sum(case when d_moy = 5 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as may_net
+ 	,sum(case when d_moy = 6 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jun_net
+ 	,sum(case when d_moy = 7 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jul_net
+ 	,sum(case when d_moy = 8 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as aug_net
+ 	,sum(case when d_moy = 9 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as sep_net
+ 	,sum(case when d_moy = 10 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as oct_net
+ 	,sum(case when d_moy = 11
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as nov_net
+ 	,sum(case when d_moy = 12
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as dec_net
+     from
+          web_sales
+         ,warehouse
+         ,date_dim
+         ,time_dim
+ 	  ,ship_mode
+     where
+            ws_warehouse_sk =  w_warehouse_sk
+        and ws_sold_date_sk = d_date_sk
+        and ws_sold_time_sk = t_time_sk
+ 	and ws_ship_mode_sk = sm_ship_mode_sk
+        and d_year = 1998
+ 	and t_time between 48821 and 48821+28800 
+ 	and sm_carrier in ('GREAT EASTERN','LATVIAN')
+     group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+       ,d_year
+ union all
+     select 
+ 	w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,concat(concat('GREAT EASTERN ', ','), ' LATVIAN') as ship_carriers
+       ,d_year as year
+ 	,sum(case when d_moy = 1 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jan_sales
+ 	,sum(case when d_moy = 2 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as feb_sales
+ 	,sum(case when d_moy = 3 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as mar_sales
+ 	,sum(case when d_moy = 4 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as apr_sales
+ 	,sum(case when d_moy = 5 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as may_sales
+ 	,sum(case when d_moy = 6 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jun_sales
+ 	,sum(case when d_moy = 7 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jul_sales
+ 	,sum(case when d_moy = 8 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as aug_sales
+ 	,sum(case when d_moy = 9 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as sep_sales
+ 	,sum(case when d_moy = 10 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as oct_sales
+ 	,sum(case when d_moy = 11
+ 		then cs_ext_list_price* cs_quantity else 0 end) as nov_sales
+ 	,sum(case when d_moy = 12
+ 		then cs_ext_list_price* cs_quantity else 0 end) as dec_sales
+ 	,sum(case when d_moy = 1 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net
+ 	,sum(case when d_moy = 2 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net
+ 	,sum(case when d_moy = 3 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net
+ 	,sum(case when d_moy = 4 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net
+ 	,sum(case when d_moy = 5 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net
+ 	,sum(case when d_moy = 6 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net
+ 	,sum(case when d_moy = 7 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net
+ 	,sum(case when d_moy = 8 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net
+ 	,sum(case when d_moy = 9 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net
+ 	,sum(case when d_moy = 10 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net
+ 	,sum(case when d_moy = 11
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net
+ 	,sum(case when d_moy = 12
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net
+     from
+          catalog_sales
+         ,warehouse
+         ,date_dim
+         ,time_dim
+ 	 ,ship_mode
+     where
+            cs_warehouse_sk =  w_warehouse_sk
+        and cs_sold_date_sk = d_date_sk
+        and cs_sold_time_sk = t_time_sk
+ 	and cs_ship_mode_sk = sm_ship_mode_sk
+        and d_year = 1998
+ 	and t_time between 48821 AND 48821+28800 
+ 	and sm_carrier in ('GREAT EASTERN','LATVIAN')
+     group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+       ,d_year
+ ) x
+ group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,ship_carriers
+       ,year
+ order by w_warehouse_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.groovy
new file mode 100644
index 0000000000..dd0df5a21a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query67.groovy
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query67") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_67 '''
+    explain shape plan
+
+
+
+
+select  *
+from (select i_category
+            ,i_class
+            ,i_brand
+            ,i_product_name
+            ,d_year
+            ,d_qoy
+            ,d_moy
+            ,s_store_id
+            ,sumsales
+            ,rank() over (partition by i_category order by sumsales desc) rk
+      from (select i_category
+                  ,i_class
+                  ,i_brand
+                  ,i_product_name
+                  ,d_year
+                  ,d_qoy
+                  ,d_moy
+                  ,s_store_id
+                  ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales
+            from store_sales
+                ,date_dim
+                ,store
+                ,item
+       where  ss_sold_date_sk=d_date_sk
+          and ss_item_sk=i_item_sk
+          and ss_store_sk = s_store_sk
+          and d_month_seq between 1206 and 1206+11
+       group by  rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2
+where rk <= 100
+order by i_category
+        ,i_class
+        ,i_brand
+        ,i_product_name
+        ,d_year
+        ,d_qoy
+        ,d_moy
+        ,s_store_id
+        ,sumsales
+        ,rk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.groovy
new file mode 100644
index 0000000000..510a146a49
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query68.groovy
@@ -0,0 +1,82 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query68") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_68 '''
+    explain shape plan
+
+
+
+
+select  c_last_name
+       ,c_first_name
+       ,ca_city
+       ,bought_city
+       ,ss_ticket_number
+       ,extended_price
+       ,extended_tax
+       ,list_price
+ from (select ss_ticket_number
+             ,ss_customer_sk
+             ,ca_city bought_city
+             ,sum(ss_ext_sales_price) extended_price 
+             ,sum(ss_ext_list_price) list_price
+             ,sum(ss_ext_tax) extended_tax 
+       from store_sales
+           ,date_dim
+           ,store
+           ,household_demographics
+           ,customer_address 
+       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+         and store_sales.ss_store_sk = store.s_store_sk  
+        and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+        and store_sales.ss_addr_sk = customer_address.ca_address_sk
+        and date_dim.d_dom between 1 and 2 
+        and (household_demographics.hd_dep_count = 8 or
+             household_demographics.hd_vehicle_count= -1)
+        and date_dim.d_year in (1998,1998+1,1998+2)
+        and store.s_city in ('Pleasant Hill','Five Points')
+       group by ss_ticket_number
+               ,ss_customer_sk
+               ,ss_addr_sk,ca_city) dn
+      ,customer
+      ,customer_address current_addr
+ where ss_customer_sk = c_customer_sk
+   and customer.c_current_addr_sk = current_addr.ca_address_sk
+   and current_addr.ca_city <> bought_city
+ order by c_last_name
+         ,ss_ticket_number
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.groovy
new file mode 100644
index 0000000000..df16047027
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query69.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query69") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_69 '''
+    explain shape plan
+
+
+
+
+select  
+  cd_gender,
+  cd_marital_status,
+  cd_education_status,
+  count(*) cnt1,
+  cd_purchase_estimate,
+  count(*) cnt2,
+  cd_credit_rating,
+  count(*) cnt3
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  ca_state in ('TX','VA','MI') and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2000 and
+                d_moy between 1 and 1+2) and
+   (not exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2000 and
+                  d_moy between 1 and 1+2) and
+    not exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2000 and
+                  d_moy between 1 and 1+2))
+ group by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating
+ order by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.groovy
new file mode 100644
index 0000000000..d6b3b3337b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query7.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query7") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_7 '''
+    explain shape plan
+
+
+
+
+select  i_item_id, 
+        avg(ss_quantity) agg1,
+        avg(ss_list_price) agg2,
+        avg(ss_coupon_amt) agg3,
+        avg(ss_sales_price) agg4 
+ from store_sales, customer_demographics, date_dim, item, promotion
+ where ss_sold_date_sk = d_date_sk and
+       ss_item_sk = i_item_sk and
+       ss_cdemo_sk = cd_demo_sk and
+       ss_promo_sk = p_promo_sk and
+       cd_gender = 'F' and 
+       cd_marital_status = 'W' and
+       cd_education_status = 'College' and
+       (p_channel_email = 'N' or p_channel_event = 'N') and
+       d_year = 2001 
+ group by i_item_id
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.groovy
new file mode 100644
index 0000000000..c6ae958f56
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query70.groovy
@@ -0,0 +1,78 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query70") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_70 '''
+    explain shape plan
+
+
+
+
+select  
+    sum(ss_net_profit) as total_sum
+   ,s_state
+   ,s_county
+   ,grouping(s_state)+grouping(s_county) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(s_state)+grouping(s_county),
+ 	case when grouping(s_county) = 0 then s_state end 
+ 	order by sum(ss_net_profit) desc) as rank_within_parent
+ from
+    store_sales
+   ,date_dim       d1
+   ,store
+ where
+    d1.d_month_seq between 1213 and 1213+11
+ and d1.d_date_sk = ss_sold_date_sk
+ and s_store_sk  = ss_store_sk
+ and s_state in
+             ( select s_state
+               from  (select s_state as s_state,
+ 			    rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
+                      from   store_sales, store, date_dim
+                      where  d_month_seq between 1213 and 1213+11
+ 			    and d_date_sk = ss_sold_date_sk
+ 			    and s_store_sk  = ss_store_sk
+                      group by s_state
+                     ) tmp1 
+               where ranking <= 5
+             )
+ group by rollup(s_state,s_county)
+ order by
+   lochierarchy desc
+  ,case when lochierarchy = 0 then s_state end
+  ,rank_within_parent
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.groovy
new file mode 100644
index 0000000000..edab120d09
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query71.groovy
@@ -0,0 +1,80 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query71") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_71 '''
+    explain shape plan
+
+
+
+
+select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
+ 	sum(ext_price) ext_price
+ from item, (select ws_ext_sales_price as ext_price, 
+                        ws_sold_date_sk as sold_date_sk,
+                        ws_item_sk as sold_item_sk,
+                        ws_sold_time_sk as time_sk  
+                 from web_sales,date_dim
+                 where d_date_sk = ws_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 union all
+                 select cs_ext_sales_price as ext_price,
+                        cs_sold_date_sk as sold_date_sk,
+                        cs_item_sk as sold_item_sk,
+                        cs_sold_time_sk as time_sk
+                 from catalog_sales,date_dim
+                 where d_date_sk = cs_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 union all
+                 select ss_ext_sales_price as ext_price,
+                        ss_sold_date_sk as sold_date_sk,
+                        ss_item_sk as sold_item_sk,
+                        ss_sold_time_sk as time_sk
+                 from store_sales,date_dim
+                 where d_date_sk = ss_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 ) tmp,time_dim
+ where
+   sold_item_sk = i_item_sk
+   and i_manager_id=1
+   and time_sk = t_time_sk
+   and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
+ group by i_brand, i_brand_id,t_hour,t_minute
+ order by ext_price desc, i_brand_id
+ ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.groovy
new file mode 100644
index 0000000000..82956805de
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query72.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query72") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_72 '''
+    explain shape plan
+
+
+
+
+select  i_item_desc
+      ,w_warehouse_name
+      ,d1.d_week_seq
+      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
+      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
+      ,count(*) total_cnt
+from catalog_sales
+join inventory on (cs_item_sk = inv_item_sk)
+join warehouse on (w_warehouse_sk=inv_warehouse_sk)
+join item on (i_item_sk = cs_item_sk)
+join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
+join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
+join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
+join date_dim d2 on (inv_date_sk = d2.d_date_sk)
+join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
+left outer join promotion on (cs_promo_sk=p_promo_sk)
+left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
+where d1.d_week_seq = d2.d_week_seq
+  and inv_quantity_on_hand < cs_quantity 
+  and d3.d_date > d1.d_date + 5
+  and hd_buy_potential = '501-1000'
+  and d1.d_year = 2002
+  and cd_marital_status = 'W'
+group by i_item_desc,w_warehouse_name,d1.d_week_seq
+order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.groovy
new file mode 100644
index 0000000000..4ac9bdb8af
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query73.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query73") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_73 '''
+    explain shape plan
+
+
+
+
+select c_last_name
+       ,c_first_name
+       ,c_salutation
+       ,c_preferred_cust_flag 
+       ,ss_ticket_number
+       ,cnt from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,count(*) cnt
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and date_dim.d_dom between 1 and 2 
+    and (household_demographics.hd_buy_potential = '501-1000' or
+         household_demographics.hd_buy_potential = 'Unknown')
+    and household_demographics.hd_vehicle_count > 0
+    and case when household_demographics.hd_vehicle_count > 0 then 
+             household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
+    and date_dim.d_year in (2000,2000+1,2000+2)
+    and store.s_county in ('Fairfield County','Walker County','Daviess County','Barrow County')
+    group by ss_ticket_number,ss_customer_sk) dj,customer
+    where ss_customer_sk = c_customer_sk
+      and cnt between 1 and 5
+    order by cnt desc, c_last_name asc;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.groovy
new file mode 100644
index 0000000000..b5e0388a97
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query74.groovy
@@ -0,0 +1,100 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query74") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_74 '''
+    explain shape plan
+
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,d_year as year
+       ,stddev_samp(ss_net_paid) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+   and d_year in (1999,1999+1)
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,d_year
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,d_year as year
+       ,stddev_samp(ws_net_paid) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+   and d_year in (1999,1999+1)
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,d_year
+         )
+  select 
+        t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+         and t_s_firstyear.customer_id = t_w_secyear.customer_id
+         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+         and t_s_firstyear.sale_type = 's'
+         and t_w_firstyear.sale_type = 'w'
+         and t_s_secyear.sale_type = 's'
+         and t_w_secyear.sale_type = 'w'
+         and t_s_firstyear.year = 1999
+         and t_s_secyear.year = 1999+1
+         and t_w_firstyear.year = 1999
+         and t_w_secyear.year = 1999+1
+         and t_s_firstyear.year_total > 0
+         and t_w_firstyear.year_total > 0
+         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
+           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
+ order by 2,1,3
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.groovy
new file mode 100644
index 0000000000..e53f90b8e7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query75.groovy
@@ -0,0 +1,110 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query75") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_75 '''
+    explain shape plan
+
+
+
+
+WITH all_sales AS (
+ SELECT d_year
+       ,i_brand_id
+       ,i_class_id
+       ,i_category_id
+       ,i_manufact_id
+       ,SUM(sales_cnt) AS sales_cnt
+       ,SUM(sales_amt) AS sales_amt
+ FROM (SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt
+             ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
+       FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk
+                          JOIN date_dim ON d_date_sk=cs_sold_date_sk
+                          LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number 
+                                                    AND cs_item_sk=cr_item_sk)
+       WHERE i_category='Home'
+       UNION
+       SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt
+             ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt
+       FROM store_sales JOIN item ON i_item_sk=ss_item_sk
+                        JOIN date_dim ON d_date_sk=ss_sold_date_sk
+                        LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number 
+                                                AND ss_item_sk=sr_item_sk)
+       WHERE i_category='Home'
+       UNION
+       SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt
+             ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt
+       FROM web_sales JOIN item ON i_item_sk=ws_item_sk
+                      JOIN date_dim ON d_date_sk=ws_sold_date_sk
+                      LEFT JOIN web_returns ON (ws_order_number=wr_order_number 
+                                            AND ws_item_sk=wr_item_sk)
+       WHERE i_category='Home') sales_detail
+ GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
+ SELECT  prev_yr.d_year AS prev_year
+                          ,curr_yr.d_year AS year
+                          ,curr_yr.i_brand_id
+                          ,curr_yr.i_class_id
+                          ,curr_yr.i_category_id
+                          ,curr_yr.i_manufact_id
+                          ,prev_yr.sales_cnt AS prev_yr_cnt
+                          ,curr_yr.sales_cnt AS curr_yr_cnt
+                          ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff
+                          ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
+ FROM all_sales curr_yr, all_sales prev_yr
+ WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
+   AND curr_yr.i_class_id=prev_yr.i_class_id
+   AND curr_yr.i_category_id=prev_yr.i_category_id
+   AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
+   AND curr_yr.d_year=1999
+   AND prev_yr.d_year=1999-1
+   AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9
+ ORDER BY sales_cnt_diff,sales_amt_diff
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.groovy
new file mode 100644
index 0000000000..6d17c8b8f3
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query76.groovy
@@ -0,0 +1,64 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query76") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_76 '''
+    explain shape plan
+
+
+
+
+select  channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
+        SELECT 'store' as channel, 'ss_hdemo_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
+         FROM store_sales, item, date_dim
+         WHERE ss_hdemo_sk IS NULL
+           AND ss_sold_date_sk=d_date_sk
+           AND ss_item_sk=i_item_sk
+        UNION ALL
+        SELECT 'web' as channel, 'ws_bill_addr_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price
+         FROM web_sales, item, date_dim
+         WHERE ws_bill_addr_sk IS NULL
+           AND ws_sold_date_sk=d_date_sk
+           AND ws_item_sk=i_item_sk
+        UNION ALL
+        SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price
+         FROM catalog_sales, item, date_dim
+         WHERE cs_warehouse_sk IS NULL
+           AND cs_sold_date_sk=d_date_sk
+           AND cs_item_sk=i_item_sk) foo
+GROUP BY channel, col_name, d_year, d_qoy, i_category
+ORDER BY channel, col_name, d_year, d_qoy, i_category
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.groovy
new file mode 100644
index 0000000000..edca02ef57
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query77.groovy
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query77") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_77 '''
+    explain shape plan
+
+
+
+
+with ss as
+ (select s_store_sk,
+         sum(ss_ext_sales_price) as sales,
+         sum(ss_net_profit) as profit
+ from store_sales,
+      date_dim,
+      store
+ where ss_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date) 
+                  and (cast('1998-08-05' as date) +  interval 30 day) 
+       and ss_store_sk = s_store_sk
+ group by s_store_sk)
+ ,
+ sr as
+ (select s_store_sk,
+         sum(sr_return_amt) as returns,
+         sum(sr_net_loss) as profit_loss
+ from store_returns,
+      date_dim,
+      store
+ where sr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and sr_store_sk = s_store_sk
+ group by s_store_sk), 
+ cs as
+ (select cs_call_center_sk,
+        sum(cs_ext_sales_price) as sales,
+        sum(cs_net_profit) as profit
+ from catalog_sales,
+      date_dim
+ where cs_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+ group by cs_call_center_sk 
+ ), 
+ cr as
+ (select cr_call_center_sk,
+         sum(cr_return_amount) as returns,
+         sum(cr_net_loss) as profit_loss
+ from catalog_returns,
+      date_dim
+ where cr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+ group by cr_call_center_sk
+ ), 
+ ws as
+ ( select wp_web_page_sk,
+        sum(ws_ext_sales_price) as sales,
+        sum(ws_net_profit) as profit
+ from web_sales,
+      date_dim,
+      web_page
+ where ws_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and ws_web_page_sk = wp_web_page_sk
+ group by wp_web_page_sk), 
+ wr as
+ (select wp_web_page_sk,
+        sum(wr_return_amt) as returns,
+        sum(wr_net_loss) as profit_loss
+ from web_returns,
+      date_dim,
+      web_page
+ where wr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and wr_web_page_sk = wp_web_page_sk
+ group by wp_web_page_sk)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , ss.s_store_sk as id
+        , sales
+        , coalesce(returns, 0) as returns
+        , (profit - coalesce(profit_loss,0)) as profit
+ from   ss left join sr
+        on  ss.s_store_sk = sr.s_store_sk
+ union all
+ select 'catalog channel' as channel
+        , cs_call_center_sk as id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from  cs
+       , cr
+ union all
+ select 'web channel' as channel
+        , ws.wp_web_page_sk as id
+        , sales
+        , coalesce(returns, 0) returns
+        , (profit - coalesce(profit_loss,0)) as profit
+ from   ws left join wr
+        on  ws.wp_web_page_sk = wr.wp_web_page_sk
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.groovy
new file mode 100644
index 0000000000..a3b3ec0cee
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query78.groovy
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query78") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_78 '''
+    explain shape plan
+
+
+
+
+with ws as
+  (select d_year AS ws_sold_year, ws_item_sk,
+    ws_bill_customer_sk ws_customer_sk,
+    sum(ws_quantity) ws_qty,
+    sum(ws_wholesale_cost) ws_wc,
+    sum(ws_sales_price) ws_sp
+   from web_sales
+   left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk
+   join date_dim on ws_sold_date_sk = d_date_sk
+   where wr_order_number is null
+   group by d_year, ws_item_sk, ws_bill_customer_sk
+   ),
+cs as
+  (select d_year AS cs_sold_year, cs_item_sk,
+    cs_bill_customer_sk cs_customer_sk,
+    sum(cs_quantity) cs_qty,
+    sum(cs_wholesale_cost) cs_wc,
+    sum(cs_sales_price) cs_sp
+   from catalog_sales
+   left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk
+   join date_dim on cs_sold_date_sk = d_date_sk
+   where cr_order_number is null
+   group by d_year, cs_item_sk, cs_bill_customer_sk
+   ),
+ss as
+  (select d_year AS ss_sold_year, ss_item_sk,
+    ss_customer_sk,
+    sum(ss_quantity) ss_qty,
+    sum(ss_wholesale_cost) ss_wc,
+    sum(ss_sales_price) ss_sp
+   from store_sales
+   left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk
+   join date_dim on ss_sold_date_sk = d_date_sk
+   where sr_ticket_number is null
+   group by d_year, ss_item_sk, ss_customer_sk
+   )
+ select 
+ss_item_sk,
+round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio,
+ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price,
+coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,
+coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,
+coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price
+from ss
+left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk)
+left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=ss_item_sk and cs_customer_sk=ss_customer_sk)
+where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2000
+order by 
+  ss_item_sk,
+  ss_qty desc, ss_wc desc, ss_sp desc,
+  other_chan_qty,
+  other_chan_wholesale_cost,
+  other_chan_sales_price,
+  ratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.groovy
new file mode 100644
index 0000000000..0dcbff1382
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query79.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query79") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_79 '''
+    explain shape plan
+
+
+
+
+select 
+  c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
+  from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,store.s_city
+          ,sum(ss_coupon_amt) amt
+          ,sum(ss_net_profit) profit
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and (household_demographics.hd_dep_count = 5 or household_demographics.hd_vehicle_count > 4)
+    and date_dim.d_dow = 1
+    and date_dim.d_year in (1998,1998+1,1998+2) 
+    and store.s_number_employees between 200 and 295
+    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,store.s_city) ms,customer
+    where ss_customer_sk = c_customer_sk
+ order by c_last_name,c_first_name,substr(s_city,1,30), profit
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.groovy
new file mode 100644
index 0000000000..0c61c8c5ba
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query8.groovy
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query8") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_8 '''
+    explain shape plan
+
+
+
+
+select  s_store_name
+      ,sum(ss_net_profit)
+ from store_sales
+     ,date_dim
+     ,store,
+     (select ca_zip
+     from (
+      SELECT substr(ca_zip,1,5) ca_zip
+      FROM customer_address
+      WHERE substr(ca_zip,1,5) IN (
+                          '47602','16704','35863','28577','83910','36201',
+                          '58412','48162','28055','41419','80332',
+                          '38607','77817','24891','16226','18410',
+                          '21231','59345','13918','51089','20317',
+                          '17167','54585','67881','78366','47770',
+                          '18360','51717','73108','14440','21800',
+                          '89338','45859','65501','34948','25973',
+                          '73219','25333','17291','10374','18829',
+                          '60736','82620','41351','52094','19326',
+                          '25214','54207','40936','21814','79077',
+                          '25178','75742','77454','30621','89193',
+                          '27369','41232','48567','83041','71948',
+                          '37119','68341','14073','16891','62878',
+                          '49130','19833','24286','27700','40979',
+                          '50412','81504','94835','84844','71954',
+                          '39503','57649','18434','24987','12350',
+                          '86379','27413','44529','98569','16515',
+                          '27287','24255','21094','16005','56436',
+                          '91110','68293','56455','54558','10298',
+                          '83647','32754','27052','51766','19444',
+                          '13869','45645','94791','57631','20712',
+                          '37788','41807','46507','21727','71836',
+                          '81070','50632','88086','63991','20244',
+                          '31655','51782','29818','63792','68605',
+                          '94898','36430','57025','20601','82080',
+                          '33869','22728','35834','29086','92645',
+                          '98584','98072','11652','78093','57553',
+                          '43830','71144','53565','18700','90209',
+                          '71256','38353','54364','28571','96560',
+                          '57839','56355','50679','45266','84680',
+                          '34306','34972','48530','30106','15371',
+                          '92380','84247','92292','68852','13338',
+                          '34594','82602','70073','98069','85066',
+                          '47289','11686','98862','26217','47529',
+                          '63294','51793','35926','24227','14196',
+                          '24594','32489','99060','49472','43432',
+                          '49211','14312','88137','47369','56877',
+                          '20534','81755','15794','12318','21060',
+                          '73134','41255','63073','81003','73873',
+                          '66057','51184','51195','45676','92696',
+                          '70450','90669','98338','25264','38919',
+                          '59226','58581','60298','17895','19489',
+                          '52301','80846','95464','68770','51634',
+                          '19988','18367','18421','11618','67975',
+                          '25494','41352','95430','15734','62585',
+                          '97173','33773','10425','75675','53535',
+                          '17879','41967','12197','67998','79658',
+                          '59130','72592','14851','43933','68101',
+                          '50636','25717','71286','24660','58058',
+                          '72991','95042','15543','33122','69280',
+                          '11912','59386','27642','65177','17672',
+                          '33467','64592','36335','54010','18767',
+                          '63193','42361','49254','33113','33159',
+                          '36479','59080','11855','81963','31016',
+                          '49140','29392','41836','32958','53163',
+                          '13844','73146','23952','65148','93498',
+                          '14530','46131','58454','13376','13378',
+                          '83986','12320','17193','59852','46081',
+                          '98533','52389','13086','68843','31013',
+                          '13261','60560','13443','45533','83583',
+                          '11489','58218','19753','22911','25115',
+                          '86709','27156','32669','13123','51933',
+                          '39214','41331','66943','14155','69998',
+                          '49101','70070','35076','14242','73021',
+                          '59494','15782','29752','37914','74686',
+                          '83086','34473','15751','81084','49230',
+                          '91894','60624','17819','28810','63180',
+                          '56224','39459','55233','75752','43639',
+                          '55349','86057','62361','50788','31830',
+                          '58062','18218','85761','60083','45484',
+                          '21204','90229','70041','41162','35390',
+                          '16364','39500','68908','26689','52868',
+                          '81335','40146','11340','61527','61794',
+                          '71997','30415','59004','29450','58117',
+                          '69952','33562','83833','27385','61860',
+                          '96435','48333','23065','32961','84919',
+                          '61997','99132','22815','56600','68730',
+                          '48017','95694','32919','88217','27116',
+                          '28239','58032','18884','16791','21343',
+                          '97462','18569','75660','15475')
+     intersect
+      select ca_zip
+      from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt
+            FROM customer_address, customer
+            WHERE ca_address_sk = c_current_addr_sk and
+                  c_preferred_cust_flag='Y'
+            group by ca_zip
+            having count(*) > 10)A1)A2) V1
+ where ss_store_sk = s_store_sk
+  and ss_sold_date_sk = d_date_sk
+  and d_qoy = 2 and d_year = 1998
+  and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))
+ group by s_store_name
+ order by s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.groovy
new file mode 100644
index 0000000000..fe0aef24d7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query80.groovy
@@ -0,0 +1,136 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query80") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_80 '''
+    explain shape plan
+
+
+
+
+with ssr as
+ (select  s_store_id as store_id,
+          sum(ss_ext_sales_price) as sales,
+          sum(coalesce(sr_return_amt, 0)) as returns,
+          sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit
+  from store_sales left outer join store_returns on
+         (ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number),
+     date_dim,
+     store,
+     item,
+     promotion
+ where ss_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date) 
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+       and ss_store_sk = s_store_sk
+       and ss_item_sk = i_item_sk
+       and i_current_price > 50
+       and ss_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+ group by s_store_id)
+ ,
+ csr as
+ (select  cp_catalog_page_id as catalog_page_id,
+          sum(cs_ext_sales_price) as sales,
+          sum(coalesce(cr_return_amount, 0)) as returns,
+          sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit
+  from catalog_sales left outer join catalog_returns on
+         (cs_item_sk = cr_item_sk and cs_order_number = cr_order_number),
+     date_dim,
+     catalog_page,
+     item,
+     promotion
+ where cs_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date)
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+        and cs_catalog_page_sk = cp_catalog_page_sk
+       and cs_item_sk = i_item_sk
+       and i_current_price > 50
+       and cs_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select  web_site_id,
+          sum(ws_ext_sales_price) as sales,
+          sum(coalesce(wr_return_amt, 0)) as returns,
+          sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit
+  from web_sales left outer join web_returns on
+         (ws_item_sk = wr_item_sk and ws_order_number = wr_order_number),
+     date_dim,
+     web_site,
+     item,
+     promotion
+ where ws_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date)
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+        and ws_web_site_sk = web_site_sk
+       and ws_item_sk = i_item_sk
+       and i_current_price > 50
+       and ws_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+group by web_site_id)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , concat('store', store_id) as id
+        , sales
+        , returns
+        , profit
+ from   ssr
+ union all
+ select 'catalog channel' as channel
+        , concat('catalog_page', catalog_page_id) as id
+        , sales
+        , returns
+        , profit
+ from  csr
+ union all
+ select 'web channel' as channel
+        , concat('web_site', web_site_id) as id
+        , sales
+        , returns
+        , profit
+ from   wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.groovy
new file mode 100644
index 0000000000..9a062a3caf
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query81.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query81") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_81 '''
+    explain shape plan
+
+
+
+
+with customer_total_return as
+ (select cr_returning_customer_sk as ctr_customer_sk
+        ,ca_state as ctr_state, 
+ 	sum(cr_return_amt_inc_tax) as ctr_total_return
+ from catalog_returns
+     ,date_dim
+     ,customer_address
+ where cr_returned_date_sk = d_date_sk 
+   and d_year =2002
+   and cr_returning_addr_sk = ca_address_sk 
+ group by cr_returning_customer_sk
+         ,ca_state )
+  select  c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+                   ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+                  ,ca_location_type,ctr_total_return
+ from customer_total_return ctr1
+     ,customer_address
+     ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ 			  from customer_total_return ctr2 
+                  	  where ctr1.ctr_state = ctr2.ctr_state)
+       and ca_address_sk = c_current_addr_sk
+       and ca_state = 'CA'
+       and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+                   ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+                  ,ca_location_type,ctr_total_return
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.groovy
new file mode 100644
index 0000000000..77d8d5da9b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query82.groovy
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query82") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_82 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,i_current_price
+ from item, inventory, date_dim, store_sales
+ where i_current_price between 17 and 17+30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('1999-07-09' as date) and (cast('1999-07-09' as date) +  interval 60 day)
+ and i_manufact_id in (639,169,138,339)
+ and inv_quantity_on_hand between 100 and 500
+ and ss_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.groovy
new file mode 100644
index 0000000000..9a378a0edd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query83.groovy
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query83") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_83 '''
+    explain shape plan
+
+
+
+
+with sr_items as
+ (select i_item_id item_id,
+        sum(sr_return_quantity) sr_item_qty
+ from store_returns,
+      item,
+      date_dim
+ where sr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+	  where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   sr_returned_date_sk   = d_date_sk
+ group by i_item_id),
+ cr_items as
+ (select i_item_id item_id,
+        sum(cr_return_quantity) cr_item_qty
+ from catalog_returns,
+      item,
+      date_dim
+ where cr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+	  where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   cr_returned_date_sk   = d_date_sk
+ group by i_item_id),
+ wr_items as
+ (select i_item_id item_id,
+        sum(wr_return_quantity) wr_item_qty
+ from web_returns,
+      item,
+      date_dim
+ where wr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+		where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   wr_returned_date_sk   = d_date_sk
+ group by i_item_id)
+  select  sr_items.item_id
+       ,sr_item_qty
+       ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev
+       ,cr_item_qty
+       ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev
+       ,wr_item_qty
+       ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev
+       ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average
+ from sr_items
+     ,cr_items
+     ,wr_items
+ where sr_items.item_id=cr_items.item_id
+   and sr_items.item_id=wr_items.item_id 
+ order by sr_items.item_id
+         ,sr_item_qty
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.groovy
new file mode 100644
index 0000000000..0b1fc72336
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query84.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query84") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_84 '''
+    explain shape plan
+
+
+
+
+select  c_customer_id as customer_id
+       , concat(concat(coalesce(c_last_name,''), ','), coalesce(c_first_name,'')) as customername
+ from customer
+     ,customer_address
+     ,customer_demographics
+     ,household_demographics
+     ,income_band
+     ,store_returns
+ where ca_city	        =  'Oakwood'
+   and c_current_addr_sk = ca_address_sk
+   and ib_lower_bound   >=  5806
+   and ib_upper_bound   <=  5806 + 50000
+   and ib_income_band_sk = hd_income_band_sk
+   and cd_demo_sk = c_current_cdemo_sk
+   and hd_demo_sk = c_current_hdemo_sk
+   and sr_cdemo_sk = cd_demo_sk
+ order by c_customer_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.groovy
new file mode 100644
index 0000000000..c39e14fbc5
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query85.groovy
@@ -0,0 +1,124 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query85") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_85 '''
+    explain shape plan
+
+
+
+
+select  substr(r_reason_desc,1,20)
+       ,avg(ws_quantity)
+       ,avg(wr_refunded_cash)
+       ,avg(wr_fee)
+ from web_sales, web_returns, web_page, customer_demographics cd1,
+      customer_demographics cd2, customer_address, date_dim, reason 
+ where ws_web_page_sk = wp_web_page_sk
+   and ws_item_sk = wr_item_sk
+   and ws_order_number = wr_order_number
+   and ws_sold_date_sk = d_date_sk and d_year = 2000
+   and cd1.cd_demo_sk = wr_refunded_cdemo_sk 
+   and cd2.cd_demo_sk = wr_returning_cdemo_sk
+   and ca_address_sk = wr_refunded_addr_sk
+   and r_reason_sk = wr_reason_sk
+   and
+   (
+    (
+     cd1.cd_marital_status = 'M'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = '4 yr Degree'
+     and 
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 100.00 and 150.00
+    )
+   or
+    (
+     cd1.cd_marital_status = 'S'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = 'Secondary' 
+     and
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 50.00 and 100.00
+    )
+   or
+    (
+     cd1.cd_marital_status = 'W'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = 'Advanced Degree'
+     and
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 150.00 and 200.00
+    )
+   )
+   and
+   (
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('FL', 'TX', 'DE')
+     and ws_net_profit between 100 and 200  
+    )
+    or
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('IN', 'ND', 'ID')
+     and ws_net_profit between 150 and 300  
+    )
+    or
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('MT', 'IL', 'OH')
+     and ws_net_profit between 50 and 250  
+    )
+   )
+group by r_reason_desc
+order by substr(r_reason_desc,1,20)
+        ,avg(ws_quantity)
+        ,avg(wr_refunded_cash)
+        ,avg(wr_fee)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.groovy
new file mode 100644
index 0000000000..6eebbf705e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query86.groovy
@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query86") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_86 '''
+    explain shape plan
+
+
+
+
+select   
+    sum(ws_net_paid) as total_sum
+   ,i_category
+   ,i_class
+   ,grouping(i_category)+grouping(i_class) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(i_category)+grouping(i_class),
+ 	case when grouping(i_class) = 0 then i_category end 
+ 	order by sum(ws_net_paid) desc) as rank_within_parent
+ from
+    web_sales
+   ,date_dim       d1
+   ,item
+ where
+    d1.d_month_seq between 1224 and 1224+11
+ and d1.d_date_sk = ws_sold_date_sk
+ and i_item_sk  = ws_item_sk
+ group by rollup(i_category,i_class)
+ order by
+   lochierarchy desc,
+   case when lochierarchy = 0 then i_category end,
+   rank_within_parent
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.groovy
new file mode 100644
index 0000000000..af24851e69
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query87.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query87") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_87 '''
+    explain shape plan
+
+
+
+
+select count(*) 
+from ((select distinct c_last_name, c_first_name, d_date
+       from store_sales, date_dim, customer
+       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+         and store_sales.ss_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+       except
+      (select distinct c_last_name, c_first_name, d_date
+       from catalog_sales, date_dim, customer
+       where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
+         and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+       except
+      (select distinct c_last_name, c_first_name, d_date
+       from web_sales, date_dim, customer
+       where web_sales.ws_sold_date_sk = date_dim.d_date_sk
+         and web_sales.ws_bill_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+) cool_cust
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.groovy
new file mode 100644
index 0000000000..f06be94103
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query88.groovy
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query88") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_88 '''
+    explain shape plan
+
+
+
+
+select  *
+from
+ (select count(*) h8_30_to_9
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk   
+     and ss_hdemo_sk = household_demographics.hd_demo_sk 
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 8
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) 
+     and store.s_store_name = 'ese') s1,
+ (select count(*) h9_to_9_30 
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk 
+     and time_dim.t_hour = 9 
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s2,
+ (select count(*) h9_30_to_10 
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 9
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s3,
+ (select count(*) h10_to_10_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 10 
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s4,
+ (select count(*) h10_30_to_11
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 10 
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s5,
+ (select count(*) h11_to_11_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk 
+     and time_dim.t_hour = 11
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s6,
+ (select count(*) h11_30_to_12
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 11
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s7,
+ (select count(*) h12_to_12_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 12
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s8
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.groovy
new file mode 100644
index 0000000000..44765b6292
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query89.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query89") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_89 '''
+    explain shape plan
+
+
+
+
+select  *
+from(
+select i_category, i_class, i_brand,
+       s_store_name, s_company_name,
+       d_moy,
+       sum(ss_sales_price) sum_sales,
+       avg(sum(ss_sales_price)) over
+         (partition by i_category, i_brand, s_store_name, s_company_name)
+         avg_monthly_sales
+from item, store_sales, date_dim, store
+where ss_item_sk = i_item_sk and
+      ss_sold_date_sk = d_date_sk and
+      ss_store_sk = s_store_sk and
+      d_year in (1999) and
+        ((i_category in ('Jewelry','Shoes','Electronics') and
+          i_class in ('semi-precious','athletic','portable')
+         )
+      or (i_category in ('Men','Music','Women') and
+          i_class in ('accessories','rock','maternity') 
+        ))
+group by i_category, i_class, i_brand,
+         s_store_name, s_company_name, d_moy) tmp1
+where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1
+order by sum_sales - avg_monthly_sales, s_store_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.groovy
new file mode 100644
index 0000000000..edaf47049a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query9.groovy
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query9") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_9 '''
+    explain shape plan
+
+
+
+
+select case when (select count(*) 
+                  from store_sales 
+                  where ss_quantity between 1 and 20) > 2972190
+            then (select avg(ss_ext_sales_price) 
+                  from store_sales 
+                  where ss_quantity between 1 and 20) 
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 1 and 20) end bucket1 ,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 21 and 40) > 4505785
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 21 and 40) 
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 21 and 40) end bucket2,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 41 and 60) > 1575726
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 41 and 60)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 41 and 60) end bucket3,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 61 and 80) > 3188917
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 61 and 80)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 61 and 80) end bucket4,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 81 and 100) > 3525216
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 81 and 100)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 81 and 100) end bucket5
+from reason
+where r_reason_sk = 1
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.groovy
new file mode 100644
index 0000000000..17422019b6
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query90.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query90") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_90 '''
+    explain shape plan
+
+
+
+
+select  cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
+ from ( select count(*) amc
+       from web_sales, household_demographics , time_dim, web_page
+       where ws_sold_time_sk = time_dim.t_time_sk
+         and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+         and ws_web_page_sk = web_page.wp_web_page_sk
+         and time_dim.t_hour between 10 and 10+1
+         and household_demographics.hd_dep_count = 2
+         and web_page.wp_char_count between 5000 and 5200) at,
+      ( select count(*) pmc
+       from web_sales, household_demographics , time_dim, web_page
+       where ws_sold_time_sk = time_dim.t_time_sk
+         and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+         and ws_web_page_sk = web_page.wp_web_page_sk
+         and time_dim.t_hour between 16 and 16+1
+         and household_demographics.hd_dep_count = 2
+         and web_page.wp_char_count between 5000 and 5200) pt
+ order by am_pm_ratio
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.groovy
new file mode 100644
index 0000000000..7113a199e3
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query91.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query91") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_91 '''
+    explain shape plan
+
+
+
+
+select  
+        cc_call_center_id Call_Center,
+        cc_name Call_Center_Name,
+        cc_manager Manager,
+        sum(cr_net_loss) Returns_Loss
+from
+        call_center,
+        catalog_returns,
+        date_dim,
+        customer,
+        customer_address,
+        customer_demographics,
+        household_demographics
+where
+        cr_call_center_sk       = cc_call_center_sk
+and     cr_returned_date_sk     = d_date_sk
+and     cr_returning_customer_sk= c_customer_sk
+and     cd_demo_sk              = c_current_cdemo_sk
+and     hd_demo_sk              = c_current_hdemo_sk
+and     ca_address_sk           = c_current_addr_sk
+and     d_year                  = 2001 
+and     d_moy                   = 11
+and     ( (cd_marital_status       = 'M' and cd_education_status     = 'Unknown')
+        or(cd_marital_status       = 'W' and cd_education_status     = 'Advanced Degree'))
+and     hd_buy_potential like '1001-5000%'
+and     ca_gmt_offset           = -6
+group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
+order by sum(cr_net_loss) desc;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.groovy
new file mode 100644
index 0000000000..aabe7ee893
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query92.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query92") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_92 '''
+    explain shape plan
+
+
+
+
+select  
+   sum(ws_ext_discount_amt)  as "Excess Discount Amount" 
+from 
+    web_sales 
+   ,item 
+   ,date_dim
+where
+i_manufact_id = 320
+and i_item_sk = ws_item_sk 
+and d_date between '2002-02-26' and 
+        (cast('2002-02-26' as date) + interval 90 day)
+and d_date_sk = ws_sold_date_sk 
+and ws_ext_discount_amt  
+     > ( 
+         SELECT 
+            1.3 * avg(ws_ext_discount_amt) 
+         FROM 
+            web_sales 
+           ,date_dim
+         WHERE 
+              ws_item_sk = i_item_sk 
+          and d_date between '2002-02-26' and
+                             (cast('2002-02-26' as date) + interval 90 day)
+          and d_date_sk = ws_sold_date_sk 
+      ) 
+order by sum(ws_ext_discount_amt)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.groovy
new file mode 100644
index 0000000000..62206835f3
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query93.groovy
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query93") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_93 '''
+    explain shape plan
+
+
+
+
+select  ss_customer_sk
+            ,sum(act_sales) sumsales
+      from (select ss_item_sk
+                  ,ss_ticket_number
+                  ,ss_customer_sk
+                  ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
+                                                            else (ss_quantity*ss_sales_price) end act_sales
+            from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
+                                                               and sr_ticket_number = ss_ticket_number)
+                ,reason
+            where sr_reason_sk = r_reason_sk
+              and r_reason_desc = 'duplicate purchase') t
+      group by ss_customer_sk
+      order by sumsales, ss_customer_sk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.groovy
new file mode 100644
index 0000000000..6232b096df
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query94.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query94") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_94 '''
+    explain shape plan
+
+
+
+
+select  
+   count(distinct ws_order_number) as "order count"
+  ,sum(ws_ext_ship_cost) as "total shipping cost"
+  ,sum(ws_net_profit) as "total net profit"
+from
+   web_sales ws1
+  ,date_dim
+  ,customer_address
+  ,web_site
+where
+    d_date between '2000-2-01' and 
+           (cast('2000-2-01' as date) + interval 60 day)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'OK'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and exists (select *
+            from web_sales ws2
+            where ws1.ws_order_number = ws2.ws_order_number
+              and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+and not exists(select *
+               from web_returns wr1
+               where ws1.ws_order_number = wr1.wr_order_number)
+order by count(distinct ws_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.groovy
new file mode 100644
index 0000000000..f3178bf078
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query95.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query95") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_95 '''
+    explain shape plan
+
+
+with ws_wh as
+(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
+ from web_sales ws1,web_sales ws2
+ where ws1.ws_order_number = ws2.ws_order_number
+   and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+ select  
+   count(distinct ws_order_number) as "order count"
+  ,sum(ws_ext_ship_cost) as "total shipping cost"
+  ,sum(ws_net_profit) as "total net profit"
+from
+   web_sales ws1
+  ,date_dim
+  ,customer_address
+  ,web_site
+where
+    d_date between '1999-2-01' and 
+           (cast('1999-2-01' as date) + interval 60 day)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'NC'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and ws1.ws_order_number in (select ws_order_number
+                            from ws_wh)
+and ws1.ws_order_number in (select wr_order_number
+                            from web_returns,ws_wh
+                            where wr_order_number = ws_wh.ws_order_number)
+order by count(distinct ws_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.groovy
new file mode 100644
index 0000000000..47fc1f899c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query96.groovy
@@ -0,0 +1,56 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query96") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_96 '''
+    explain shape plan
+
+
+
+
+select  count(*) 
+from store_sales
+    ,household_demographics 
+    ,time_dim, store
+where ss_sold_time_sk = time_dim.t_time_sk   
+    and ss_hdemo_sk = household_demographics.hd_demo_sk 
+    and ss_store_sk = s_store_sk
+    and time_dim.t_hour = 8
+    and time_dim.t_minute >= 30
+    and household_demographics.hd_dep_count = 3
+    and store.s_store_name = 'ese'
+order by count(*)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.groovy
new file mode 100644
index 0000000000..1da5b88685
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query97.groovy
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query97") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_97 '''
+    explain shape plan
+
+
+
+
+with ssci as (
+select ss_customer_sk customer_sk
+      ,ss_item_sk item_sk
+from store_sales,date_dim
+where ss_sold_date_sk = d_date_sk
+  and d_month_seq between 1214 and 1214 + 11
+group by ss_customer_sk
+        ,ss_item_sk),
+csci as(
+ select cs_bill_customer_sk customer_sk
+      ,cs_item_sk item_sk
+from catalog_sales,date_dim
+where cs_sold_date_sk = d_date_sk
+  and d_month_seq between 1214 and 1214 + 11
+group by cs_bill_customer_sk
+        ,cs_item_sk)
+ select  sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only
+      ,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only
+      ,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog
+from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk
+                               and ssci.item_sk = csci.item_sk)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.groovy
new file mode 100644
index 0000000000..888386ddf0
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query98.groovy
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query98") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_98 '''
+    explain shape plan
+
+
+
+
+select i_item_id
+      ,i_item_desc 
+      ,i_category 
+      ,i_class 
+      ,i_current_price
+      ,sum(ss_ext_sales_price) as itemrevenue 
+      ,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over
+          (partition by i_class) as revenueratio
+from	
+	store_sales
+    	,item 
+    	,date_dim
+where 
+	ss_item_sk = i_item_sk 
+  	and i_category in ('Sports', 'Music', 'Shoes')
+  	and ss_sold_date_sk = d_date_sk
+	and d_date between cast('2002-05-20' as date) 
+				and (cast('2002-05-20' as date) + interval 30 day)
+group by 
+	i_item_id
+        ,i_item_desc 
+        ,i_category
+        ,i_class
+        ,i_current_price
+order by 
+	i_category
+        ,i_class
+        ,i_item_id
+        ,i_item_desc
+        ,revenueratio;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.groovy
new file mode 100644
index 0000000000..7d6452656b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/noStatsRfPrune/query99.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query99") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_99 '''
+    explain shape plan
+
+
+
+
+select  
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,cc_name
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and 
+                 (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and 
+                 (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
+                 (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   catalog_sales
+  ,warehouse
+  ,ship_mode
+  ,call_center
+  ,date_dim
+where
+    d_month_seq between 1224 and 1224 + 11
+and cs_ship_date_sk   = d_date_sk
+and cs_warehouse_sk   = w_warehouse_sk
+and cs_ship_mode_sk   = sm_ship_mode_sk
+and cs_call_center_sk = cc_call_center_sk
+group by
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,cc_name
+order by substr(w_warehouse_name,1,20)
+        ,sm_type
+        ,cc_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.groovy
new file mode 100644
index 0000000000..26554a39f8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query1.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query1") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+    qt_ds_shape_1 '''
+    explain shape plan
+with customer_total_return as
+(select sr_customer_sk as ctr_customer_sk
+,sr_store_sk as ctr_store_sk
+,sum(SR_FEE) as ctr_total_return
+from store_returns
+,date_dim
+where sr_returned_date_sk = d_date_sk
+and d_year =2000
+group by sr_customer_sk
+,sr_store_sk)
+ select  c_customer_id
+from customer_total_return ctr1
+,store
+,customer
+where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+from customer_total_return ctr2
+where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
+and s_store_sk = ctr1.ctr_store_sk
+and s_state = 'SD'
+and ctr1.ctr_customer_sk = c_customer_sk
+order by c_customer_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.groovy
new file mode 100644
index 0000000000..53d0148b50
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query10.groovy
@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query10") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_10 '''
+    explain shape plan
+
+
+
+
+select  
+  cd_gender,
+  cd_marital_status,
+  cd_education_status,
+  count(*) cnt1,
+  cd_purchase_estimate,
+  count(*) cnt2,
+  cd_credit_rating,
+  count(*) cnt3,
+  cd_dep_count,
+  count(*) cnt4,
+  cd_dep_employed_count,
+  count(*) cnt5,
+  cd_dep_college_count,
+  count(*) cnt6
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  ca_county in ('Storey County','Marquette County','Warren County','Cochran County','Kandiyohi County') and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2001 and
+                d_moy between 1 and 1+3) and
+   (exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_moy between 1 ANd 1+3) or 
+    exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_moy between 1 and 1+3))
+ group by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ order by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.groovy
new file mode 100644
index 0000000000..846c94982d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query11.groovy
@@ -0,0 +1,121 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query11") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_11 '''
+    explain shape plan
+
+
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag 
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year 
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag 
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+         )
+  select  
+                  t_s_secyear.customer_id
+                 ,t_s_secyear.customer_first_name
+                 ,t_s_secyear.customer_last_name
+                 ,t_s_secyear.customer_birth_country
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+         and t_s_firstyear.customer_id = t_w_secyear.customer_id
+         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+         and t_s_firstyear.sale_type = 's'
+         and t_w_firstyear.sale_type = 'w'
+         and t_s_secyear.sale_type = 's'
+         and t_w_secyear.sale_type = 'w'
+         and t_s_firstyear.dyear = 2001
+         and t_s_secyear.dyear = 2001+1
+         and t_w_firstyear.dyear = 2001
+         and t_w_secyear.dyear = 2001+1
+         and t_s_firstyear.year_total > 0
+         and t_w_firstyear.year_total > 0
+         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end
+             > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
+ order by t_s_secyear.customer_id
+         ,t_s_secyear.customer_first_name
+         ,t_s_secyear.customer_last_name
+         ,t_s_secyear.customer_birth_country
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.groovy
new file mode 100644
index 0000000000..a93431498f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query12.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query12") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_12 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+      ,i_item_desc 
+      ,i_category 
+      ,i_class 
+      ,i_current_price
+      ,sum(ws_ext_sales_price) as itemrevenue 
+      ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
+          (partition by i_class) as revenueratio
+from	
+	web_sales
+    	,item 
+    	,date_dim
+where 
+	ws_item_sk = i_item_sk 
+  	and i_category in ('Books', 'Sports', 'Men')
+  	and ws_sold_date_sk = d_date_sk
+	and d_date between cast('1998-04-06' as date) 
+				and (cast('1998-04-06' as date) + interval 30 day)
+group by 
+	i_item_id
+        ,i_item_desc 
+        ,i_category
+        ,i_class
+        ,i_current_price
+order by 
+	i_category
+        ,i_class
+        ,i_item_id
+        ,i_item_desc
+        ,revenueratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.groovy
new file mode 100644
index 0000000000..509b40264e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query13.groovy
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query13") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_13 '''
+    explain shape plan
+
+
+select avg(ss_quantity)
+       ,avg(ss_ext_sales_price)
+       ,avg(ss_ext_wholesale_cost)
+       ,sum(ss_ext_wholesale_cost)
+ from store_sales
+     ,store
+     ,customer_demographics
+     ,household_demographics
+     ,customer_address
+     ,date_dim
+ where s_store_sk = ss_store_sk
+ and  ss_sold_date_sk = d_date_sk and d_year = 2001
+ and((ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'D'
+  and cd_education_status = 'Unknown'
+  and ss_sales_price between 100.00 and 150.00
+  and hd_dep_count = 3   
+     )or
+     (ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'S'
+  and cd_education_status = 'College'
+  and ss_sales_price between 50.00 and 100.00   
+  and hd_dep_count = 1
+     ) or 
+     (ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'M'
+  and cd_education_status = '4 yr Degree'
+  and ss_sales_price between 150.00 and 200.00 
+  and hd_dep_count = 1  
+     ))
+ and((ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('SD', 'KS', 'MI')
+  and ss_net_profit between 100 and 200  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('MO', 'ND', 'CO')
+  and ss_net_profit between 150 and 300  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('NH', 'OH', 'TX')
+  and ss_net_profit between 50 and 250  
+     ))
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.groovy
new file mode 100644
index 0000000000..97a628d2d1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query14.groovy
@@ -0,0 +1,142 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query14") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_14 '''
+    explain shape plan
+
+
+with  cross_items as
+ (select i_item_sk ss_item_sk
+ from item,
+ (select iss.i_brand_id brand_id
+     ,iss.i_class_id class_id
+     ,iss.i_category_id category_id
+ from store_sales
+     ,item iss
+     ,date_dim d1
+ where ss_item_sk = iss.i_item_sk
+   and ss_sold_date_sk = d1.d_date_sk
+   and d1.d_year between 2000 AND 2000 + 2
+ intersect 
+ select ics.i_brand_id
+     ,ics.i_class_id
+     ,ics.i_category_id
+ from catalog_sales
+     ,item ics
+     ,date_dim d2
+ where cs_item_sk = ics.i_item_sk
+   and cs_sold_date_sk = d2.d_date_sk
+   and d2.d_year between 2000 AND 2000 + 2
+ intersect
+ select iws.i_brand_id
+     ,iws.i_class_id
+     ,iws.i_category_id
+ from web_sales
+     ,item iws
+     ,date_dim d3
+ where ws_item_sk = iws.i_item_sk
+   and ws_sold_date_sk = d3.d_date_sk
+   and d3.d_year between 2000 AND 2000 + 2)
+ t where i_brand_id = brand_id
+      and i_class_id = class_id
+      and i_category_id = category_id
+),
+ avg_sales as
+ (select avg(quantity*list_price) average_sales
+  from (select ss_quantity quantity
+             ,ss_list_price list_price
+       from store_sales
+           ,date_dim
+       where ss_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2
+       union all 
+       select cs_quantity quantity 
+             ,cs_list_price list_price
+       from catalog_sales
+           ,date_dim
+       where cs_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2 
+       union all
+       select ws_quantity quantity
+             ,ws_list_price list_price
+       from web_sales
+           ,date_dim
+       where ws_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2) x)
+  select  channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
+ from(
+       select 'store' channel, i_brand_id,i_class_id
+             ,i_category_id,sum(ss_quantity*ss_list_price) sales
+             , count(*) number_sales
+       from store_sales
+           ,item
+           ,date_dim
+       where ss_item_sk in (select ss_item_sk from cross_items)
+         and ss_item_sk = i_item_sk
+         and ss_sold_date_sk = d_date_sk
+         and d_year = 2000+2 
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
+       union all
+       select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
+       from catalog_sales
+           ,item
+           ,date_dim
+       where cs_item_sk in (select ss_item_sk from cross_items)
+         and cs_item_sk = i_item_sk
+         and cs_sold_date_sk = d_date_sk
+         and d_year = 2000+2 
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
+       union all
+       select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
+       from web_sales
+           ,item
+           ,date_dim
+       where ws_item_sk in (select ss_item_sk from cross_items)
+         and ws_item_sk = i_item_sk
+         and ws_sold_date_sk = d_date_sk
+         and d_year = 2000+2
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
+ ) y
+ group by rollup (channel, i_brand_id,i_class_id,i_category_id)
+ order by channel,i_brand_id,i_class_id,i_category_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.groovy
new file mode 100644
index 0000000000..6298af6624
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query15.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query15") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_15 '''
+    explain shape plan
+
+
+
+select  ca_zip
+       ,sum(cs_sales_price)
+ from catalog_sales
+     ,customer
+     ,customer_address
+     ,date_dim
+ where cs_bill_customer_sk = c_customer_sk
+ 	and c_current_addr_sk = ca_address_sk 
+ 	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
+                                   '85392', '85460', '80348', '81792')
+ 	      or ca_state in ('CA','WA','GA')
+ 	      or cs_sales_price > 500)
+ 	and cs_sold_date_sk = d_date_sk
+ 	and d_qoy = 1 and d_year = 2001
+ group by ca_zip
+ order by ca_zip
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.groovy
new file mode 100644
index 0000000000..bafff2194d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query16.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query16") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_16 '''
+    explain shape plan
+
+
+
+
+select  
+   count(distinct cs_order_number) as "order count"
+  ,sum(cs_ext_ship_cost) as "total shipping cost"
+  ,sum(cs_net_profit) as "total net profit"
+from
+   catalog_sales cs1
+  ,date_dim
+  ,customer_address
+  ,call_center
+where
+    d_date between '2002-4-01' and 
+           (cast('2002-4-01' as date) + interval 60 day)
+and cs1.cs_ship_date_sk = d_date_sk
+and cs1.cs_ship_addr_sk = ca_address_sk
+and ca_state = 'WV'
+and cs1.cs_call_center_sk = cc_call_center_sk
+and cc_county in ('Ziebach County','Luce County','Richland County','Daviess County',
+                  'Barrow County'
+)
+and exists (select *
+            from catalog_sales cs2
+            where cs1.cs_order_number = cs2.cs_order_number
+              and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
+and not exists(select *
+               from catalog_returns cr1
+               where cs1.cs_order_number = cr1.cr_order_number)
+order by count(distinct cs_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.groovy
new file mode 100644
index 0000000000..dce42b8bfe
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query17.groovy
@@ -0,0 +1,85 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query17") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_17 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,s_state
+       ,count(ss_quantity) as store_sales_quantitycount
+       ,avg(ss_quantity) as store_sales_quantityave
+       ,stddev_samp(ss_quantity) as store_sales_quantitystdev
+       ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
+       ,count(sr_return_quantity) as store_returns_quantitycount
+       ,avg(sr_return_quantity) as store_returns_quantityave
+       ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
+       ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
+       ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
+       ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
+       ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
+ from store_sales
+     ,store_returns
+     ,catalog_sales
+     ,date_dim d1
+     ,date_dim d2
+     ,date_dim d3
+     ,store
+     ,item
+ where d1.d_quarter_name = '2001Q1'
+   and d1.d_date_sk = ss_sold_date_sk
+   and i_item_sk = ss_item_sk
+   and s_store_sk = ss_store_sk
+   and ss_customer_sk = sr_customer_sk
+   and ss_item_sk = sr_item_sk
+   and ss_ticket_number = sr_ticket_number
+   and sr_returned_date_sk = d2.d_date_sk
+   and d2.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
+   and sr_customer_sk = cs_bill_customer_sk
+   and sr_item_sk = cs_item_sk
+   and cs_sold_date_sk = d3.d_date_sk
+   and d3.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
+ group by i_item_id
+         ,i_item_desc
+         ,s_state
+ order by i_item_id
+         ,i_item_desc
+         ,s_state
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.groovy
new file mode 100644
index 0000000000..7de1ba01a1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query18.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query18") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_18 '''
+    explain shape plan
+
+
+
+
+select  i_item_id,
+        ca_country,
+        ca_state, 
+        ca_county,
+        avg( cast(cs_quantity as decimal(12,2))) agg1,
+        avg( cast(cs_list_price as decimal(12,2))) agg2,
+        avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
+        avg( cast(cs_sales_price as decimal(12,2))) agg4,
+        avg( cast(cs_net_profit as decimal(12,2))) agg5,
+        avg( cast(c_birth_year as decimal(12,2))) agg6,
+        avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
+ from catalog_sales, customer_demographics cd1, 
+      customer_demographics cd2, customer, customer_address, date_dim, item
+ where cs_sold_date_sk = d_date_sk and
+       cs_item_sk = i_item_sk and
+       cs_bill_cdemo_sk = cd1.cd_demo_sk and
+       cs_bill_customer_sk = c_customer_sk and
+       cd1.cd_gender = 'F' and 
+       cd1.cd_education_status = 'Advanced Degree' and
+       c_current_cdemo_sk = cd2.cd_demo_sk and
+       c_current_addr_sk = ca_address_sk and
+       c_birth_month in (10,7,8,4,1,2) and
+       d_year = 1998 and
+       ca_state in ('WA','GA','NC'
+                   ,'ME','WY','OK','IN')
+ group by rollup (i_item_id, ca_country, ca_state, ca_county)
+ order by ca_country,
+        ca_state, 
+        ca_county,
+	i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.groovy
new file mode 100644
index 0000000000..266206bdd7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query19.groovy
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query19") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_19 '''
+    explain shape plan
+
+
+
+
+select  i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
+ 	sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item,customer,customer_address,store
+ where d_date_sk = ss_sold_date_sk
+   and ss_item_sk = i_item_sk
+   and i_manager_id=2
+   and d_moy=12
+   and d_year=1999
+   and ss_customer_sk = c_customer_sk 
+   and c_current_addr_sk = ca_address_sk
+   and substr(ca_zip,1,5) <> substr(s_zip,1,5) 
+   and ss_store_sk = s_store_sk 
+ group by i_brand
+      ,i_brand_id
+      ,i_manufact_id
+      ,i_manufact
+ order by ext_price desc
+         ,i_brand
+         ,i_brand_id
+         ,i_manufact_id
+         ,i_manufact
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.groovy
new file mode 100644
index 0000000000..85f4d45552
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query2.groovy
@@ -0,0 +1,101 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query2") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+
+    qt_ds_shape_2 '''
+    explain shape plan
+
+
+
+
+with wscs as
+ (select sold_date_sk
+        ,sales_price
+  from (select ws_sold_date_sk sold_date_sk
+              ,ws_ext_sales_price sales_price
+        from web_sales 
+        union all
+        select cs_sold_date_sk sold_date_sk
+              ,cs_ext_sales_price sales_price
+        from catalog_sales) t),
+ wswscs as 
+ (select d_week_seq,
+        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
+ from wscs
+     ,date_dim
+ where d_date_sk = sold_date_sk
+ group by d_week_seq)
+ select d_week_seq1
+       ,round(sun_sales1/sun_sales2,2)
+       ,round(mon_sales1/mon_sales2,2)
+       ,round(tue_sales1/tue_sales2,2)
+       ,round(wed_sales1/wed_sales2,2)
+       ,round(thu_sales1/thu_sales2,2)
+       ,round(fri_sales1/fri_sales2,2)
+       ,round(sat_sales1/sat_sales2,2)
+ from
+ (select wswscs.d_week_seq d_week_seq1
+        ,sun_sales sun_sales1
+        ,mon_sales mon_sales1
+        ,tue_sales tue_sales1
+        ,wed_sales wed_sales1
+        ,thu_sales thu_sales1
+        ,fri_sales fri_sales1
+        ,sat_sales sat_sales1
+  from wswscs,date_dim 
+  where date_dim.d_week_seq = wswscs.d_week_seq and
+        d_year = 1998) y,
+ (select wswscs.d_week_seq d_week_seq2
+        ,sun_sales sun_sales2
+        ,mon_sales mon_sales2
+        ,tue_sales tue_sales2
+        ,wed_sales wed_sales2
+        ,thu_sales thu_sales2
+        ,fri_sales fri_sales2
+        ,sat_sales sat_sales2
+  from wswscs
+      ,date_dim 
+  where date_dim.d_week_seq = wswscs.d_week_seq and
+        d_year = 1998+1) z
+ where d_week_seq1=d_week_seq2-53
+ order by d_week_seq1;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.groovy
new file mode 100644
index 0000000000..639ced355d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query20.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query20") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_20 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc 
+       ,i_category 
+       ,i_class 
+       ,i_current_price
+       ,sum(cs_ext_sales_price) as itemrevenue 
+       ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
+           (partition by i_class) as revenueratio
+ from	catalog_sales
+     ,item 
+     ,date_dim
+ where cs_item_sk = i_item_sk 
+   and i_category in ('Shoes', 'Books', 'Women')
+   and cs_sold_date_sk = d_date_sk
+ and d_date between cast('2002-01-26' as date) 
+ 				and (cast('2002-01-26' as date) + interval 30 day)
+ group by i_item_id
+         ,i_item_desc 
+         ,i_category
+         ,i_class
+         ,i_current_price
+ order by i_category
+         ,i_class
+         ,i_item_id
+         ,i_item_desc
+         ,revenueratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.groovy
new file mode 100644
index 0000000000..2cec3502f8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query21.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query21") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_21 '''
+    explain shape plan
+
+
+
+
+select  *
+ from(select w_warehouse_name
+            ,i_item_id
+            ,sum(case when (cast(d_date as date) < cast ('2002-02-27' as date))
+	                then inv_quantity_on_hand 
+                      else 0 end) as inv_before
+            ,sum(case when (cast(d_date as date) >= cast ('2002-02-27' as date))
+                      then inv_quantity_on_hand 
+                      else 0 end) as inv_after
+   from inventory
+       ,warehouse
+       ,item
+       ,date_dim
+   where i_current_price between 0.99 and 1.49
+     and i_item_sk          = inv_item_sk
+     and inv_warehouse_sk   = w_warehouse_sk
+     and inv_date_sk    = d_date_sk
+     and d_date between (cast ('2002-02-27' as date) - interval 30 day)
+                    and (cast ('2002-02-27' as date) + interval 30 day)
+   group by w_warehouse_name, i_item_id) x
+ where (case when inv_before > 0 
+             then inv_after / inv_before 
+             else null
+             end) between 2.0/3.0 and 3.0/2.0
+ order by w_warehouse_name
+         ,i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.groovy
new file mode 100644
index 0000000000..f741e48935
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query22.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query22") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_22 '''
+    explain shape plan
+
+
+
+
+select  i_product_name
+             ,i_brand
+             ,i_class
+             ,i_category
+             ,avg(inv_quantity_on_hand) qoh
+       from inventory
+           ,date_dim
+           ,item
+       where inv_date_sk=d_date_sk
+              and inv_item_sk=i_item_sk
+              and d_month_seq between 1188 and 1188 + 11
+       group by rollup(i_product_name
+                       ,i_brand
+                       ,i_class
+                       ,i_category)
+order by qoh, i_product_name, i_brand, i_class, i_category
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query23.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query23.groovy
new file mode 100644
index 0000000000..1c65c846ff
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query23.groovy
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query23") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_23 '''
+    explain shape plan
+
+
+
+with frequent_ss_items as 
+ (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
+  from store_sales
+      ,date_dim 
+      ,item
+  where ss_sold_date_sk = d_date_sk
+    and ss_item_sk = i_item_sk 
+    and d_year in (2000,2000+1,2000+2,2000+3)
+  group by substr(i_item_desc,1,30),i_item_sk,d_date
+  having count(*) >4),
+ max_store_sales as
+ (select max(csales) tpcds_cmax 
+  from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
+        from store_sales
+            ,customer
+            ,date_dim 
+        where ss_customer_sk = c_customer_sk
+         and ss_sold_date_sk = d_date_sk
+         and d_year in (2000,2000+1,2000+2,2000+3) 
+        group by c_customer_sk) t),
+ best_ss_customer as
+ (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
+  from store_sales
+      ,customer
+  where ss_customer_sk = c_customer_sk
+  group by c_customer_sk
+  having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
+  *
+from
+ max_store_sales))
+  select  sum(sales)
+ from (select cs_quantity*cs_list_price sales
+       from catalog_sales
+           ,date_dim 
+       where d_year = 2000 
+         and d_moy = 5 
+         and cs_sold_date_sk = d_date_sk 
+         and cs_item_sk in (select item_sk from frequent_ss_items)
+         and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
+      union all
+      select ws_quantity*ws_list_price sales
+       from web_sales 
+           ,date_dim 
+       where d_year = 2000 
+         and d_moy = 5 
+         and ws_sold_date_sk = d_date_sk 
+         and ws_item_sk in (select item_sk from frequent_ss_items)
+         and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)) t2 
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query24.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query24.groovy
new file mode 100644
index 0000000000..adab9c674c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query24.groovy
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query24") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_24 '''
+          explain shape plan
+
+
+
+ with ssales as
+ (select c_last_name
+       ,c_first_name
+       ,s_store_name
+       ,ca_state
+       ,s_state
+       ,i_color
+       ,i_current_price
+       ,i_manager_id
+       ,i_units
+       ,i_size
+       ,sum(ss_net_profit) netpaid
+ from store_sales
+     ,store_returns
+     ,store
+     ,item
+     ,customer
+     ,customer_address
+ where ss_ticket_number = sr_ticket_number
+   and ss_item_sk = sr_item_sk
+   and ss_customer_sk = c_customer_sk
+   and ss_item_sk = i_item_sk
+   and ss_store_sk = s_store_sk
+   and c_current_addr_sk = ca_address_sk
+   and c_birth_country <> upper(ca_country)
+   and s_zip = ca_zip
+ and s_market_id=8
+ group by c_last_name
+         ,c_first_name
+         ,s_store_name
+         ,ca_state
+         ,s_state
+         ,i_color
+         ,i_current_price
+         ,i_manager_id
+         ,i_units
+         ,i_size)
+ select c_last_name
+       ,c_first_name
+       ,s_store_name
+       ,sum(netpaid) paid
+ from ssales
+ where i_color = 'beige'
+ group by c_last_name
+         ,c_first_name
+         ,s_store_name
+ having sum(netpaid) > (select 0.05*avg(netpaid)
+                                  from ssales)
+ order by c_last_name
+         ,c_first_name
+         ,s_store_name
+ ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query25.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query25.groovy
new file mode 100644
index 0000000000..bbc28a7d80
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query25.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query25") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_25 '''
+    explain shape plan
+
+
+
+select  
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ ,sum(ss_net_profit) as store_sales_profit
+ ,sum(sr_net_loss) as store_returns_loss
+ ,sum(cs_net_profit) as catalog_sales_profit
+ from
+ store_sales
+ ,store_returns
+ ,catalog_sales
+ ,date_dim d1
+ ,date_dim d2
+ ,date_dim d3
+ ,store
+ ,item
+ where
+ d1.d_moy = 4
+ and d1.d_year = 2000
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk = ss_item_sk
+ and s_store_sk = ss_store_sk
+ and ss_customer_sk = sr_customer_sk
+ and ss_item_sk = sr_item_sk
+ and ss_ticket_number = sr_ticket_number
+ and sr_returned_date_sk = d2.d_date_sk
+ and d2.d_moy               between 4 and  10
+ and d2.d_year              = 2000
+ and sr_customer_sk = cs_bill_customer_sk
+ and sr_item_sk = cs_item_sk
+ and cs_sold_date_sk = d3.d_date_sk
+ and d3.d_moy               between 4 and  10 
+ and d3.d_year              = 2000
+ group by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ order by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query26.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query26.groovy
new file mode 100644
index 0000000000..4bb5d14694
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query26.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query26") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_26 '''
+    explain shape plan
+
+
+
+
+select  i_item_id, 
+        avg(cs_quantity) agg1,
+        avg(cs_list_price) agg2,
+        avg(cs_coupon_amt) agg3,
+        avg(cs_sales_price) agg4 
+ from catalog_sales, customer_demographics, date_dim, item, promotion
+ where cs_sold_date_sk = d_date_sk and
+       cs_item_sk = i_item_sk and
+       cs_bill_cdemo_sk = cd_demo_sk and
+       cs_promo_sk = p_promo_sk and
+       cd_gender = 'M' and 
+       cd_marital_status = 'S' and
+       cd_education_status = 'Unknown' and
+       (p_channel_email = 'N' or p_channel_event = 'N') and
+       d_year = 2001 
+ group by i_item_id
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query27.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query27.groovy
new file mode 100644
index 0000000000..05c6e51538
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query27.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query27") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_27 '''
+    explain shape plan
+
+
+
+select  i_item_id,
+        s_state, grouping(s_state) g_state,
+        avg(ss_quantity) agg1,
+        avg(ss_list_price) agg2,
+        avg(ss_coupon_amt) agg3,
+        avg(ss_sales_price) agg4
+ from store_sales, customer_demographics, date_dim, store, item
+ where ss_sold_date_sk = d_date_sk and
+       ss_item_sk = i_item_sk and
+       ss_store_sk = s_store_sk and
+       ss_cdemo_sk = cd_demo_sk and
+       cd_gender = 'F' and
+       cd_marital_status = 'D' and
+       cd_education_status = 'Secondary' and
+       d_year = 1999 and
+       s_state in ('MO','AL', 'MI', 'TN', 'LA', 'SC')
+ group by rollup (i_item_id, s_state)
+ order by i_item_id
+         ,s_state
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query28.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query28.groovy
new file mode 100644
index 0000000000..8719c1ddb2
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query28.groovy
@@ -0,0 +1,93 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query28") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_28 '''
+    explain shape plan
+
+
+
+
+select  *
+from (select avg(ss_list_price) B1_LP
+            ,count(ss_list_price) B1_CNT
+            ,count(distinct ss_list_price) B1_CNTD
+      from store_sales
+      where ss_quantity between 0 and 5
+        and (ss_list_price between 131 and 131+10 
+             or ss_coupon_amt between 16798 and 16798+1000
+             or ss_wholesale_cost between 25 and 25+20)) B1,
+     (select avg(ss_list_price) B2_LP
+            ,count(ss_list_price) B2_CNT
+            ,count(distinct ss_list_price) B2_CNTD
+      from store_sales
+      where ss_quantity between 6 and 10
+        and (ss_list_price between 145 and 145+10
+          or ss_coupon_amt between 14792 and 14792+1000
+          or ss_wholesale_cost between 46 and 46+20)) B2,
+     (select avg(ss_list_price) B3_LP
+            ,count(ss_list_price) B3_CNT
+            ,count(distinct ss_list_price) B3_CNTD
+      from store_sales
+      where ss_quantity between 11 and 15
+        and (ss_list_price between 150 and 150+10
+          or ss_coupon_amt between 6600 and 6600+1000
+          or ss_wholesale_cost between 9 and 9+20)) B3,
+     (select avg(ss_list_price) B4_LP
+            ,count(ss_list_price) B4_CNT
+            ,count(distinct ss_list_price) B4_CNTD
+      from store_sales
+      where ss_quantity between 16 and 20
+        and (ss_list_price between 91 and 91+10
+          or ss_coupon_amt between 13493 and 13493+1000
+          or ss_wholesale_cost between 36 and 36+20)) B4,
+     (select avg(ss_list_price) B5_LP
+            ,count(ss_list_price) B5_CNT
+            ,count(distinct ss_list_price) B5_CNTD
+      from store_sales
+      where ss_quantity between 21 and 25
+        and (ss_list_price between 0 and 0+10
+          or ss_coupon_amt between 7629 and 7629+1000
+          or ss_wholesale_cost between 6 and 6+20)) B5,
+     (select avg(ss_list_price) B6_LP
+            ,count(ss_list_price) B6_CNT
+            ,count(distinct ss_list_price) B6_CNTD
+      from store_sales
+      where ss_quantity between 26 and 30
+        and (ss_list_price between 89 and 89+10
+          or ss_coupon_amt between 15257 and 15257+1000
+          or ss_wholesale_cost between 31 and 31+20)) B6
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query29.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query29.groovy
new file mode 100644
index 0000000000..1971fbd33a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query29.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query29") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_29 '''
+    explain shape plan
+
+
+
+
+select   
+     i_item_id
+    ,i_item_desc
+    ,s_store_id
+    ,s_store_name
+    ,avg(ss_quantity)        as store_sales_quantity
+    ,avg(sr_return_quantity) as store_returns_quantity
+    ,avg(cs_quantity)        as catalog_sales_quantity
+ from
+    store_sales
+   ,store_returns
+   ,catalog_sales
+   ,date_dim             d1
+   ,date_dim             d2
+   ,date_dim             d3
+   ,store
+   ,item
+ where
+     d1.d_moy               = 4 
+ and d1.d_year              = 1999
+ and d1.d_date_sk           = ss_sold_date_sk
+ and i_item_sk              = ss_item_sk
+ and s_store_sk             = ss_store_sk
+ and ss_customer_sk         = sr_customer_sk
+ and ss_item_sk             = sr_item_sk
+ and ss_ticket_number       = sr_ticket_number
+ and sr_returned_date_sk    = d2.d_date_sk
+ and d2.d_moy               between 4 and  4 + 3 
+ and d2.d_year              = 1999
+ and sr_customer_sk         = cs_bill_customer_sk
+ and sr_item_sk             = cs_item_sk
+ and cs_sold_date_sk        = d3.d_date_sk     
+ and d3.d_year              in (1999,1999+1,1999+2)
+ group by
+    i_item_id
+   ,i_item_desc
+   ,s_store_id
+   ,s_store_name
+ order by
+    i_item_id 
+   ,i_item_desc
+   ,s_store_id
+   ,s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query3.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query3.groovy
new file mode 100644
index 0000000000..ac128a2e82
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query3.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query3") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+
+    qt_ds_shape_3 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year 
+       ,item.i_brand_id brand_id 
+       ,item.i_brand brand
+       ,sum(ss_sales_price) sum_agg
+ from  date_dim dt 
+      ,store_sales
+      ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+   and store_sales.ss_item_sk = item.i_item_sk
+   and item.i_manufact_id = 816
+   and dt.d_moy=11
+ group by dt.d_year
+      ,item.i_brand
+      ,item.i_brand_id
+ order by dt.d_year
+         ,sum_agg desc
+         ,brand_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query30.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query30.groovy
new file mode 100644
index 0000000000..3b890af7cd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query30.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query30") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_30 '''
+    explain shape plan
+
+
+
+
+with customer_total_return as
+ (select wr_returning_customer_sk as ctr_customer_sk
+        ,ca_state as ctr_state, 
+ 	sum(wr_return_amt) as ctr_total_return
+ from web_returns
+     ,date_dim
+     ,customer_address
+ where wr_returned_date_sk = d_date_sk 
+   and d_year =2002
+   and wr_returning_addr_sk = ca_address_sk 
+ group by wr_returning_customer_sk
+         ,ca_state)
+  select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+       ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+       ,c_last_review_date_sk,ctr_total_return
+ from customer_total_return ctr1
+     ,customer_address
+     ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ 			  from customer_total_return ctr2 
+                  	  where ctr1.ctr_state = ctr2.ctr_state)
+       and ca_address_sk = c_current_addr_sk
+       and ca_state = 'IN'
+       and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+                  ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+                  ,c_last_review_date_sk,ctr_total_return
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query31.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query31.groovy
new file mode 100644
index 0000000000..c69d01e9c7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query31.groovy
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query31") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_31 '''
+    explain shape plan
+
+
+
+
+with ss as
+ (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
+ from store_sales,date_dim,customer_address
+ where ss_sold_date_sk = d_date_sk
+  and ss_addr_sk=ca_address_sk
+ group by ca_county,d_qoy, d_year),
+ ws as
+ (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
+ from web_sales,date_dim,customer_address
+ where ws_sold_date_sk = d_date_sk
+  and ws_bill_addr_sk=ca_address_sk
+ group by ca_county,d_qoy, d_year)
+ select 
+        ss1.ca_county
+       ,ss1.d_year
+       ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
+       ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
+       ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
+       ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
+ from
+        ss ss1
+       ,ss ss2
+       ,ss ss3
+       ,ws ws1
+       ,ws ws2
+       ,ws ws3
+ where
+    ss1.d_qoy = 1
+    and ss1.d_year = 2000
+    and ss1.ca_county = ss2.ca_county
+    and ss2.d_qoy = 2
+    and ss2.d_year = 2000
+ and ss2.ca_county = ss3.ca_county
+    and ss3.d_qoy = 3
+    and ss3.d_year = 2000
+    and ss1.ca_county = ws1.ca_county
+    and ws1.d_qoy = 1
+    and ws1.d_year = 2000
+    and ws1.ca_county = ws2.ca_county
+    and ws2.d_qoy = 2
+    and ws2.d_year = 2000
+    and ws1.ca_county = ws3.ca_county
+    and ws3.d_qoy = 3
+    and ws3.d_year =2000
+    and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end 
+       > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
+    and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
+       > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
+ order by web_q1_q2_increase;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query32.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query32.groovy
new file mode 100644
index 0000000000..3227e2ccb9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query32.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query32") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_32 '''
+    explain shape plan
+
+
+
+
+select  sum(cs_ext_discount_amt)  as "excess discount amount" 
+from 
+   catalog_sales 
+   ,item 
+   ,date_dim
+where
+i_manufact_id = 29
+and i_item_sk = cs_item_sk 
+and d_date between '1999-01-07' and 
+        (cast('1999-01-07' as date) + interval 90 day)
+and d_date_sk = cs_sold_date_sk 
+and cs_ext_discount_amt  
+     > ( 
+         select 
+            1.3 * avg(cs_ext_discount_amt) 
+         from 
+            catalog_sales 
+           ,date_dim
+         where 
+              cs_item_sk = i_item_sk 
+          and d_date between '1999-01-07' and
+                             (cast('1999-01-07' as date) + interval 90 day)
+          and d_date_sk = cs_sold_date_sk 
+      ) 
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query33.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query33.groovy
new file mode 100644
index 0000000000..6bf2033571
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query33.groovy
@@ -0,0 +1,115 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query33") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_33 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select
+          i_manufact_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -5 
+ group by i_manufact_id),
+ cs as (
+ select
+          i_manufact_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id               in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -5 
+ group by i_manufact_id),
+ ws as (
+ select
+          i_manufact_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id               in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -5
+ group by i_manufact_id)
+  select  i_manufact_id ,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_manufact_id
+ order by total_sales
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query34.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query34.groovy
new file mode 100644
index 0000000000..65eaa27b7e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query34.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query34") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_34 '''
+    explain shape plan
+
+
+
+
+select c_last_name
+       ,c_first_name
+       ,c_salutation
+       ,c_preferred_cust_flag
+       ,ss_ticket_number
+       ,cnt from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,count(*) cnt
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28)
+    and (household_demographics.hd_buy_potential = '1001-5000' or
+         household_demographics.hd_buy_potential = '0-500')
+    and household_demographics.hd_vehicle_count > 0
+    and (case when household_demographics.hd_vehicle_count > 0 
+	then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count 
+	else null 
+	end)  > 1.2
+    and date_dim.d_year in (1998,1998+1,1998+2)
+    and store.s_county in ('Ziebach County','Daviess County','Walker County','Richland County',
+                           'Barrow County','Franklin Parish','Williamson County','Luce County')
+    group by ss_ticket_number,ss_customer_sk) dn,customer
+    where ss_customer_sk = c_customer_sk
+      and cnt between 15 and 20
+    order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query35.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query35.groovy
new file mode 100644
index 0000000000..7b68391541
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query35.groovy
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query35") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_35 '''
+    explain shape plan
+
+
+
+
+select   
+  ca_state,
+  cd_gender,
+  cd_marital_status,
+  cd_dep_count,
+  count(*) cnt1,
+  max(cd_dep_count),
+  sum(cd_dep_count),
+  max(cd_dep_count),
+  cd_dep_employed_count,
+  count(*) cnt2,
+  max(cd_dep_employed_count),
+  sum(cd_dep_employed_count),
+  max(cd_dep_employed_count),
+  cd_dep_college_count,
+  count(*) cnt3,
+  max(cd_dep_college_count),
+  sum(cd_dep_college_count),
+  max(cd_dep_college_count)
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2001 and
+                d_qoy < 4) and
+   (exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_qoy < 4) or 
+    exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_qoy < 4))
+ group by ca_state,
+          cd_gender,
+          cd_marital_status,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ order by ca_state,
+          cd_gender,
+          cd_marital_status,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query36.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query36.groovy
new file mode 100644
index 0000000000..9f0ea88631
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query36.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query36") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_36 '''
+    explain shape plan
+
+
+
+
+select  
+    sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
+   ,i_category
+   ,i_class
+   ,grouping(i_category)+grouping(i_class) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(i_category)+grouping(i_class),
+ 	case when grouping(i_class) = 0 then i_category end 
+ 	order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent
+ from
+    store_sales
+   ,date_dim       d1
+   ,item
+   ,store
+ where
+    d1.d_year = 2002 
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk  = ss_item_sk 
+ and s_store_sk  = ss_store_sk
+ and s_state in ('SD','TN','GA','SC',
+                 'MO','AL','MI','OH')
+ group by rollup(i_category,i_class)
+ order by
+   lochierarchy desc
+  ,case when lochierarchy = 0 then i_category end
+  ,rank_within_parent
+  limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query37.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query37.groovy
new file mode 100644
index 0000000000..cd8a9207dd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query37.groovy
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query37") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_37 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,i_current_price
+ from item, inventory, date_dim, catalog_sales
+ where i_current_price between 45 and 45 + 30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('1999-02-21' as date) and (cast('1999-02-21' as date) +  interval 60 day)
+ and i_manufact_id in (856,707,1000,747)
+ and inv_quantity_on_hand between 100 and 500
+ and cs_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query38.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query38.groovy
new file mode 100644
index 0000000000..2abfd09519
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query38.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query38") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_38 '''
+    explain shape plan
+
+
+
+
+select  count(*) from (
+    select distinct c_last_name, c_first_name, d_date
+    from store_sales, date_dim, customer
+          where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+      and store_sales.ss_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+  intersect
+    select distinct c_last_name, c_first_name, d_date
+    from catalog_sales, date_dim, customer
+          where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
+      and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+  intersect
+    select distinct c_last_name, c_first_name, d_date
+    from web_sales, date_dim, customer
+          where web_sales.ws_sold_date_sk = date_dim.d_date_sk
+      and web_sales.ws_bill_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+) hot_cust
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query39.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query39.groovy
new file mode 100644
index 0000000000..024651a30c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query39.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query39") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_39 '''
+    explain shape plan
+
+
+
+
+with inv as
+(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
+       ,stdev,mean, case mean when 0 then null else stdev/mean end cov
+ from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
+            ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
+      from inventory
+          ,item
+          ,warehouse
+          ,date_dim
+      where inv_item_sk = i_item_sk
+        and inv_warehouse_sk = w_warehouse_sk
+        and inv_date_sk = d_date_sk
+        and d_year =1998
+      group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
+ where case mean when 0 then 0 else stdev/mean end > 1)
+select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
+        ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
+from inv inv1,inv inv2
+where inv1.i_item_sk = inv2.i_item_sk
+  and inv1.w_warehouse_sk =  inv2.w_warehouse_sk
+  and inv1.d_moy=1
+  and inv2.d_moy=1+1
+order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
+        ,inv2.d_moy,inv2.mean, inv2.cov
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query4.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query4.groovy
new file mode 100644
index 0000000000..ab34d48243
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query4.groovy
@@ -0,0 +1,154 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query4") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_4 '''
+    explain shape plan
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
+       ,'c' sale_type
+ from customer
+     ,catalog_sales
+     ,date_dim
+ where c_customer_sk = cs_bill_customer_sk
+   and cs_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+         )
+  select  
+                  t_s_secyear.customer_id
+                 ,t_s_secyear.customer_first_name
+                 ,t_s_secyear.customer_last_name
+                 ,t_s_secyear.customer_birth_country
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_c_firstyear
+     ,year_total t_c_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_c_secyear.customer_id
+   and t_s_firstyear.customer_id = t_c_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_w_secyear.customer_id
+   and t_s_firstyear.sale_type = 's'
+   and t_c_firstyear.sale_type = 'c'
+   and t_w_firstyear.sale_type = 'w'
+   and t_s_secyear.sale_type = 's'
+   and t_c_secyear.sale_type = 'c'
+   and t_w_secyear.sale_type = 'w'
+   and t_s_firstyear.dyear =  1999
+   and t_s_secyear.dyear = 1999+1
+   and t_c_firstyear.dyear =  1999
+   and t_c_secyear.dyear =  1999+1
+   and t_w_firstyear.dyear = 1999
+   and t_w_secyear.dyear = 1999+1
+   and t_s_firstyear.year_total > 0
+   and t_c_firstyear.year_total > 0
+   and t_w_firstyear.year_total > 0
+   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
+           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
+   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
+           > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
+ order by t_s_secyear.customer_id
+         ,t_s_secyear.customer_first_name
+         ,t_s_secyear.customer_last_name
+         ,t_s_secyear.customer_birth_country
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query40.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query40.groovy
new file mode 100644
index 0000000000..5efdc2f4f5
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query40.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query40") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_40 '''
+    explain shape plan
+
+
+
+select  
+   w_state
+  ,i_item_id
+  ,sum(case when (cast(d_date as date) < cast ('2001-04-02' as date)) 
+ 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before
+  ,sum(case when (cast(d_date as date) >= cast ('2001-04-02' as date)) 
+ 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after
+ from
+   catalog_sales left outer join catalog_returns on
+       (cs_order_number = cr_order_number 
+        and cs_item_sk = cr_item_sk)
+  ,warehouse 
+  ,item
+  ,date_dim
+ where
+     i_current_price between 0.99 and 1.49
+ and i_item_sk          = cs_item_sk
+ and cs_warehouse_sk    = w_warehouse_sk 
+ and cs_sold_date_sk    = d_date_sk
+ and d_date between (cast ('2001-04-02' as date) - interval 30 day)
+                and (cast ('2001-04-02' as date) + interval 30 day) 
+ group by
+    w_state,i_item_id
+ order by w_state,i_item_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query41.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query41.groovy
new file mode 100644
index 0000000000..552219d573
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query41.groovy
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query41") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_41 '''
+    explain shape plan
+
+
+
+
+select  distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 748 and 748+40 
+   and (select count(*) as item_cnt
+        from item
+        where (i_manufact = i1.i_manufact and
+        ((i_category = 'Women' and 
+        (i_color = 'gainsboro' or i_color = 'aquamarine') and 
+        (i_units = 'Ounce' or i_units = 'Dozen') and
+        (i_size = 'medium' or i_size = 'economy')
+        ) or
+        (i_category = 'Women' and
+        (i_color = 'chiffon' or i_color = 'violet') and
+        (i_units = 'Ton' or i_units = 'Pound') and
+        (i_size = 'extra large' or i_size = 'small')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'chartreuse' or i_color = 'blue') and
+        (i_units = 'Each' or i_units = 'Oz') and
+        (i_size = 'N/A' or i_size = 'large')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'tan' or i_color = 'dodger') and
+        (i_units = 'Bunch' or i_units = 'Tsp') and
+        (i_size = 'medium' or i_size = 'economy')
+        ))) or
+       (i_manufact = i1.i_manufact and
+        ((i_category = 'Women' and 
+        (i_color = 'blanched' or i_color = 'tomato') and 
+        (i_units = 'Tbl' or i_units = 'Case') and
+        (i_size = 'medium' or i_size = 'economy')
+        ) or
+        (i_category = 'Women' and
+        (i_color = 'almond' or i_color = 'lime') and
+        (i_units = 'Box' or i_units = 'Dram') and
+        (i_size = 'extra large' or i_size = 'small')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'peru' or i_color = 'saddle') and
+        (i_units = 'Pallet' or i_units = 'Gram') and
+        (i_size = 'N/A' or i_size = 'large')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'indian' or i_color = 'spring') and
+        (i_units = 'Unknown' or i_units = 'Carton') and
+        (i_size = 'medium' or i_size = 'economy')
+        )))) > 0
+ order by i_product_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query42.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query42.groovy
new file mode 100644
index 0000000000..81a317b15e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query42.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query42") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_42 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year
+ 	,item.i_category_id
+ 	,item.i_category
+ 	,sum(ss_ext_sales_price)
+ from 	date_dim dt
+ 	,store_sales
+ 	,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+ 	and store_sales.ss_item_sk = item.i_item_sk
+ 	and item.i_manager_id = 1  	
+ 	and dt.d_moy=11
+ 	and dt.d_year=2002
+ group by 	dt.d_year
+ 		,item.i_category_id
+ 		,item.i_category
+ order by       sum(ss_ext_sales_price) desc,dt.d_year
+ 		,item.i_category_id
+ 		,item.i_category
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query43.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query43.groovy
new file mode 100644
index 0000000000..79909c1619
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query43.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query43") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_43 '''
+    explain shape plan
+
+
+
+
+select  s_store_name, s_store_id,
+        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from date_dim, store_sales, store
+ where d_date_sk = ss_sold_date_sk and
+       s_store_sk = ss_store_sk and
+       s_gmt_offset = -5 and
+       d_year = 2000 
+ group by s_store_name, s_store_id
+ order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query44.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query44.groovy
new file mode 100644
index 0000000000..4b0f61a501
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query44.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query44") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_44 '''
+    explain shape plan
+
+
+
+
+select  asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
+from(select *
+     from (select item_sk,rank() over (order by rank_col asc) rnk
+           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col 
+                 from store_sales ss1
+                 where ss_store_sk = 146
+                 group by ss_item_sk
+                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
+                                                  from store_sales
+                                                  where ss_store_sk = 146
+                                                    and ss_addr_sk is null
+                                                  group by ss_store_sk))V1)V11
+     where rnk  < 11) asceding,
+    (select *
+     from (select item_sk,rank() over (order by rank_col desc) rnk
+           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
+                 from store_sales ss1
+                 where ss_store_sk = 146
+                 group by ss_item_sk
+                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
+                                                  from store_sales
+                                                  where ss_store_sk = 146
+                                                    and ss_addr_sk is null
+                                                  group by ss_store_sk))V2)V21
+     where rnk  < 11) descending,
+item i1,
+item i2
+where asceding.rnk = descending.rnk 
+  and i1.i_item_sk=asceding.item_sk
+  and i2.i_item_sk=descending.item_sk
+order by asceding.rnk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query45.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query45.groovy
new file mode 100644
index 0000000000..5b79a3c120
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query45.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query45") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_45 '''
+    explain shape plan
+
+
+
+
+select  ca_zip, ca_city, sum(ws_sales_price)
+ from web_sales, customer, customer_address, date_dim, item
+ where ws_bill_customer_sk = c_customer_sk
+ 	and c_current_addr_sk = ca_address_sk 
+ 	and ws_item_sk = i_item_sk 
+ 	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792')
+ 	      or 
+ 	      i_item_id in (select i_item_id
+                             from item
+                             where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
+                             )
+ 	    )
+ 	and ws_sold_date_sk = d_date_sk
+ 	and d_qoy = 2 and d_year = 2000
+ group by ca_zip, ca_city
+ order by ca_zip, ca_city
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query46.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query46.groovy
new file mode 100644
index 0000000000..6b99ca9440
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query46.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query46") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_46 '''
+    explain shape plan
+
+
+
+
+select  c_last_name
+       ,c_first_name
+       ,ca_city
+       ,bought_city
+       ,ss_ticket_number
+       ,amt,profit 
+ from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,ca_city bought_city
+          ,sum(ss_coupon_amt) amt
+          ,sum(ss_net_profit) profit
+    from store_sales,date_dim,store,household_demographics,customer_address 
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and store_sales.ss_addr_sk = customer_address.ca_address_sk
+    and (household_demographics.hd_dep_count = 6 or
+         household_demographics.hd_vehicle_count= 0)
+    and date_dim.d_dow in (6,0)
+    and date_dim.d_year in (1999,1999+1,1999+2) 
+    and store.s_city in ('Five Points','Centerville','Oak Grove','Fairview','Liberty') 
+    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr
+    where ss_customer_sk = c_customer_sk
+      and customer.c_current_addr_sk = current_addr.ca_address_sk
+      and current_addr.ca_city <> bought_city
+  order by c_last_name
+          ,c_first_name
+          ,ca_city
+          ,bought_city
+          ,ss_ticket_number
+  limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query47.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query47.groovy
new file mode 100644
index 0000000000..553728ba5a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query47.groovy
@@ -0,0 +1,89 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query47") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_47 '''
+    explain shape plan
+
+
+with v1 as(
+ select i_category, i_brand,
+        s_store_name, s_company_name,
+        d_year, d_moy,
+        sum(ss_sales_price) sum_sales,
+        avg(sum(ss_sales_price)) over
+          (partition by i_category, i_brand,
+                     s_store_name, s_company_name, d_year)
+          avg_monthly_sales,
+        rank() over
+          (partition by i_category, i_brand,
+                     s_store_name, s_company_name
+           order by d_year, d_moy) rn
+ from item, store_sales, date_dim, store
+ where ss_item_sk = i_item_sk and
+       ss_sold_date_sk = d_date_sk and
+       ss_store_sk = s_store_sk and
+       (
+         d_year = 2001 or
+         ( d_year = 2001-1 and d_moy =12) or
+         ( d_year = 2001+1 and d_moy =1)
+       )
+ group by i_category, i_brand,
+          s_store_name, s_company_name,
+          d_year, d_moy),
+ v2 as(
+ select v1.s_store_name
+        ,v1.d_year
+        ,v1.avg_monthly_sales
+        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
+ from v1, v1 v1_lag, v1 v1_lead
+ where v1.i_category = v1_lag.i_category and
+       v1.i_category = v1_lead.i_category and
+       v1.i_brand = v1_lag.i_brand and
+       v1.i_brand = v1_lead.i_brand and
+       v1.s_store_name = v1_lag.s_store_name and
+       v1.s_store_name = v1_lead.s_store_name and
+       v1.s_company_name = v1_lag.s_company_name and
+       v1.s_company_name = v1_lead.s_company_name and
+       v1.rn = v1_lag.rn + 1 and
+       v1.rn = v1_lead.rn - 1)
+  select  *
+ from v2
+ where  d_year = 2001 and    
+        avg_monthly_sales > 0 and
+        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+ order by sum_sales - avg_monthly_sales, nsum
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query48.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query48.groovy
new file mode 100644
index 0000000000..c93541ec6f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query48.groovy
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query48") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_48 '''
+    explain shape plan
+
+
+
+
+select sum (ss_quantity)
+ from store_sales, store, customer_demographics, customer_address, date_dim
+ where s_store_sk = ss_store_sk
+ and  ss_sold_date_sk = d_date_sk and d_year = 1999
+ and  
+ (
+  (
+   cd_demo_sk = ss_cdemo_sk
+   and 
+   cd_marital_status = 'U'
+   and 
+   cd_education_status = 'Primary'
+   and 
+   ss_sales_price between 100.00 and 150.00  
+   )
+ or
+  (
+  cd_demo_sk = ss_cdemo_sk
+   and 
+   cd_marital_status = 'W'
+   and 
+   cd_education_status = 'College'
+   and 
+   ss_sales_price between 50.00 and 100.00   
+  )
+ or 
+ (
+  cd_demo_sk = ss_cdemo_sk
+  and 
+   cd_marital_status = 'D'
+   and 
+   cd_education_status = '2 yr Degree'
+   and 
+   ss_sales_price between 150.00 and 200.00  
+ )
+ )
+ and
+ (
+  (
+  ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('MD', 'MN', 'IA')
+  and ss_net_profit between 0 and 2000  
+  )
+ or
+  (ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('VA', 'IL', 'TX')
+  and ss_net_profit between 150 and 3000 
+  )
+ or
+  (ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('MI', 'WI', 'IN')
+  and ss_net_profit between 50 and 25000 
+  )
+ )
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query49.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query49.groovy
new file mode 100644
index 0000000000..cf95e2be47
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query49.groovy
@@ -0,0 +1,169 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query49") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_49 '''
+    explain shape plan
+
+
+
+
+select  channel, item, return_ratio, return_rank, currency_rank from
+ (select
+ 'web' as channel
+ ,web.item
+ ,web.return_ratio
+ ,web.return_rank
+ ,web.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select ws.ws_item_sk as item
+ 		,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		 web_sales ws left outer join web_returns wr 
+ 			on (ws.ws_order_number = wr.wr_order_number and 
+ 			ws.ws_item_sk = wr.wr_item_sk)
+                 ,date_dim
+ 		where 
+ 			wr.wr_return_amt > 10000 
+ 			and ws.ws_net_profit > 1
+                         and ws.ws_net_paid > 0
+                         and ws.ws_quantity > 0
+                         and ws_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+ 		group by ws.ws_item_sk
+ 	) in_web
+ ) web
+ where 
+ (
+ web.return_rank <= 10
+ or
+ web.currency_rank <= 10
+ )
+ union
+ select 
+ 'catalog' as channel
+ ,catalog.item
+ ,catalog.return_ratio
+ ,catalog.return_rank
+ ,catalog.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select 
+ 		cs.cs_item_sk as item
+ 		,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		catalog_sales cs left outer join catalog_returns cr
+ 			on (cs.cs_order_number = cr.cr_order_number and 
+ 			cs.cs_item_sk = cr.cr_item_sk)
+                ,date_dim
+ 		where 
+ 			cr.cr_return_amount > 10000 
+ 			and cs.cs_net_profit > 1
+                         and cs.cs_net_paid > 0
+                         and cs.cs_quantity > 0
+                         and cs_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+                 group by cs.cs_item_sk
+ 	) in_cat
+ ) catalog
+ where 
+ (
+ catalog.return_rank <= 10
+ or
+ catalog.currency_rank <=10
+ )
+ union
+ select 
+ 'store' as channel
+ ,store.item
+ ,store.return_ratio
+ ,store.return_rank
+ ,store.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select sts.ss_item_sk as item
+ 		,(cast(sum(coalesce(sr.sr_return_quantity,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		store_sales sts left outer join store_returns sr
+ 			on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk)
+                ,date_dim
+ 		where 
+ 			sr.sr_return_amt > 10000 
+ 			and sts.ss_net_profit > 1
+                         and sts.ss_net_paid > 0 
+                         and sts.ss_quantity > 0
+                         and ss_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+ 		group by sts.ss_item_sk
+ 	) in_store
+ ) store
+ where  (
+ store.return_rank <= 10
+ or 
+ store.currency_rank <= 10
+ )
+ )
+  t order by 1,4,5,2
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query5.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query5.groovy
new file mode 100644
index 0000000000..6e4cf14c72
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query5.groovy
@@ -0,0 +1,168 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query5") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_5 '''
+    explain shape plan
+
+
+
+
+with ssr as
+ (select s_store_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  ss_store_sk as store_sk,
+            ss_sold_date_sk  as date_sk,
+            ss_ext_sales_price as sales_price,
+            ss_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from store_sales
+    union all
+    select sr_store_sk as store_sk,
+           sr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           sr_return_amt as return_amt,
+           sr_net_loss as net_loss
+    from store_returns
+   ) salesreturns,
+     date_dim,
+     store
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date) 
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and store_sk = s_store_sk
+ group by s_store_id)
+ ,
+ csr as
+ (select cp_catalog_page_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  cs_catalog_page_sk as page_sk,
+            cs_sold_date_sk  as date_sk,
+            cs_ext_sales_price as sales_price,
+            cs_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from catalog_sales
+    union all
+    select cr_catalog_page_sk as page_sk,
+           cr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           cr_return_amount as return_amt,
+           cr_net_loss as net_loss
+    from catalog_returns
+   ) salesreturns,
+     date_dim,
+     catalog_page
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date)
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and page_sk = cp_catalog_page_sk
+ group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select web_site_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  ws_web_site_sk as wsr_web_site_sk,
+            ws_sold_date_sk  as date_sk,
+            ws_ext_sales_price as sales_price,
+            ws_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from web_sales
+    union all
+    select ws_web_site_sk as wsr_web_site_sk,
+           wr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           wr_return_amt as return_amt,
+           wr_net_loss as net_loss
+    from web_returns left outer join web_sales on
+         ( wr_item_sk = ws_item_sk
+           and wr_order_number = ws_order_number)
+   ) salesreturns,
+     date_dim,
+     web_site
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date)
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and wsr_web_site_sk = web_site_sk
+ group by web_site_id)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , concat('store', s_store_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from   ssr
+ union all
+ select 'catalog channel' as channel
+        , concat('catalog_page', cp_catalog_page_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from  csr
+ union all
+ select 'web channel' as channel
+        , concat('web_site', web_site_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from   wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query50.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query50.groovy
new file mode 100644
index 0000000000..638fca1716
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query50.groovy
@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query50") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_50 '''
+    explain shape plan
+
+
+
+
+select  
+   s_store_name
+  ,s_company_id
+  ,s_street_number
+  ,s_street_name
+  ,s_street_type
+  ,s_suite_number
+  ,s_city
+  ,s_county
+  ,s_state
+  ,s_zip
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and 
+                 (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and 
+                 (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
+                 (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   store_sales
+  ,store_returns
+  ,store
+  ,date_dim d1
+  ,date_dim d2
+where
+    d2.d_year = 2001
+and d2.d_moy  = 8
+and ss_ticket_number = sr_ticket_number
+and ss_item_sk = sr_item_sk
+and ss_sold_date_sk   = d1.d_date_sk
+and sr_returned_date_sk   = d2.d_date_sk
+and ss_customer_sk = sr_customer_sk
+and ss_store_sk = s_store_sk
+group by
+   s_store_name
+  ,s_company_id
+  ,s_street_number
+  ,s_street_name
+  ,s_street_type
+  ,s_suite_number
+  ,s_city
+  ,s_county
+  ,s_state
+  ,s_zip
+order by s_store_name
+        ,s_company_id
+        ,s_street_number
+        ,s_street_name
+        ,s_street_type
+        ,s_suite_number
+        ,s_city
+        ,s_county
+        ,s_state
+        ,s_zip
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query51.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query51.groovy
new file mode 100644
index 0000000000..c769f23aab
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query51.groovy
@@ -0,0 +1,85 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query51") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_51 '''
+    explain shape plan
+
+
+
+
+WITH web_v1 as (
+select
+  ws_item_sk item_sk, d_date,
+  sum(sum(ws_sales_price))
+      over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from web_sales
+    ,date_dim
+where ws_sold_date_sk=d_date_sk
+  and d_month_seq between 1216 and 1216+11
+  and ws_item_sk is not NULL
+group by ws_item_sk, d_date),
+store_v1 as (
+select
+  ss_item_sk item_sk, d_date,
+  sum(sum(ss_sales_price))
+      over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from store_sales
+    ,date_dim
+where ss_sold_date_sk=d_date_sk
+  and d_month_seq between 1216 and 1216+11
+  and ss_item_sk is not NULL
+group by ss_item_sk, d_date)
+ select  *
+from (select item_sk
+     ,d_date
+     ,web_sales
+     ,store_sales
+     ,max(web_sales)
+         over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
+     ,max(store_sales)
+         over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
+     from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
+                 ,case when web.d_date is not null then web.d_date else store.d_date end d_date
+                 ,web.cume_sales web_sales
+                 ,store.cume_sales store_sales
+           from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
+                                                          and web.d_date = store.d_date)
+          )x )y
+where web_cumulative > store_cumulative
+order by item_sk
+        ,d_date
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query52.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query52.groovy
new file mode 100644
index 0000000000..e5d0953ed8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query52.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query52") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_52 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year
+ 	,item.i_brand_id brand_id
+ 	,item.i_brand brand
+ 	,sum(ss_ext_sales_price) ext_price
+ from date_dim dt
+     ,store_sales
+     ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+    and store_sales.ss_item_sk = item.i_item_sk
+    and item.i_manager_id = 1
+    and dt.d_moy=12
+    and dt.d_year=2002
+ group by dt.d_year
+ 	,item.i_brand
+ 	,item.i_brand_id
+ order by dt.d_year
+ 	,ext_price desc
+ 	,brand_id
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query53.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query53.groovy
new file mode 100644
index 0000000000..e686e69b21
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query53.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query53") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_53 '''
+    explain shape plan
+
+
+
+
+select  * from 
+(select i_manufact_id,
+sum(ss_sales_price) sum_sales,
+avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales
+from item, store_sales, date_dim, store
+where ss_item_sk = i_item_sk and
+ss_sold_date_sk = d_date_sk and
+ss_store_sk = s_store_sk and
+d_month_seq in (1200,1200+1,1200+2,1200+3,1200+4,1200+5,1200+6,1200+7,1200+8,1200+9,1200+10,1200+11) and
+((i_category in ('Books','Children','Electronics') and
+i_class in ('personal','portable','reference','self-help') and
+i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
+		'exportiunivamalg #9','scholaramalgamalg #9'))
+or(i_category in ('Women','Music','Men') and
+i_class in ('accessories','classical','fragrances','pants') and
+i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
+		'importoamalg #1')))
+group by i_manufact_id, d_qoy ) tmp1
+where case when avg_quarterly_sales > 0 
+	then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales 
+	else null end > 0.1
+order by avg_quarterly_sales,
+	 sum_sales,
+	 i_manufact_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query54.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query54.groovy
new file mode 100644
index 0000000000..572e701439
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query54.groovy
@@ -0,0 +1,96 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query54") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_54 '''
+    explain shape plan
+
+
+
+
+with my_customers as (
+ select distinct c_customer_sk
+        , c_current_addr_sk
+ from   
+        ( select cs_sold_date_sk sold_date_sk,
+                 cs_bill_customer_sk customer_sk,
+                 cs_item_sk item_sk
+          from   catalog_sales
+          union all
+          select ws_sold_date_sk sold_date_sk,
+                 ws_bill_customer_sk customer_sk,
+                 ws_item_sk item_sk
+          from   web_sales
+         ) cs_or_ws_sales,
+         item,
+         date_dim,
+         customer
+ where   sold_date_sk = d_date_sk
+         and item_sk = i_item_sk
+         and i_category = 'Women'
+         and i_class = 'maternity'
+         and c_customer_sk = cs_or_ws_sales.customer_sk
+         and d_moy = 5
+         and d_year = 1998
+ )
+ , my_revenue as (
+ select c_customer_sk,
+        sum(ss_ext_sales_price) as revenue
+ from   my_customers,
+        store_sales,
+        customer_address,
+        store,
+        date_dim
+ where  c_current_addr_sk = ca_address_sk
+        and ca_county = s_county
+        and ca_state = s_state
+        and ss_sold_date_sk = d_date_sk
+        and c_customer_sk = ss_customer_sk
+        and d_month_seq between (select distinct d_month_seq+1
+                                 from   date_dim where d_year = 1998 and d_moy = 5)
+                           and  (select distinct d_month_seq+3
+                                 from   date_dim where d_year = 1998 and d_moy = 5)
+ group by c_customer_sk
+ )
+ , segments as
+ (select cast((revenue/50) as int) as segment
+  from   my_revenue
+ )
+  select  segment, count(*) as num_customers, segment*50 as segment_base
+ from segments
+ group by segment
+ order by segment, num_customers
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query55.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query55.groovy
new file mode 100644
index 0000000000..c6a8a854ab
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query55.groovy
@@ -0,0 +1,54 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query55") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_55 '''
+    explain shape plan
+
+
+
+
+select  i_brand_id brand_id, i_brand brand,
+ 	sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item
+ where d_date_sk = ss_sold_date_sk
+ 	and ss_item_sk = i_item_sk
+ 	and i_manager_id=100
+ 	and d_moy=12
+ 	and d_year=2000
+ group by i_brand, i_brand_id
+ order by ext_price desc, i_brand_id
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query56.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query56.groovy
new file mode 100644
index 0000000000..3eaae3415e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query56.groovy
@@ -0,0 +1,109 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query56") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_56 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where i_item_id in (select
+     i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -6 
+ group by i_item_id),
+ cs as (
+ select i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -6 
+ group by i_item_id),
+ ws as (
+ select i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -6
+ group by i_item_id)
+  select  i_item_id ,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_item_id
+ order by total_sales,
+          i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query57.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query57.groovy
new file mode 100644
index 0000000000..ad49909882
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query57.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query57") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_57 '''
+    explain shape plan
+
+
+
+with v1 as(
+ select i_category, i_brand,
+        cc_name,
+        d_year, d_moy,
+        sum(cs_sales_price) sum_sales,
+        avg(sum(cs_sales_price)) over
+          (partition by i_category, i_brand,
+                     cc_name, d_year)
+          avg_monthly_sales,
+        rank() over
+          (partition by i_category, i_brand,
+                     cc_name
+           order by d_year, d_moy) rn
+ from item, catalog_sales, date_dim, call_center
+ where cs_item_sk = i_item_sk and
+       cs_sold_date_sk = d_date_sk and
+       cc_call_center_sk= cs_call_center_sk and
+       (
+         d_year = 1999 or
+         ( d_year = 1999-1 and d_moy =12) or
+         ( d_year = 1999+1 and d_moy =1)
+       )
+ group by i_category, i_brand,
+          cc_name , d_year, d_moy),
+ v2 as(
+ select v1.i_brand
+        ,v1.d_year
+        ,v1.avg_monthly_sales
+        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
+ from v1, v1 v1_lag, v1 v1_lead
+ where v1.i_category = v1_lag.i_category and
+       v1.i_category = v1_lead.i_category and
+       v1.i_brand = v1_lag.i_brand and
+       v1.i_brand = v1_lead.i_brand and
+       v1. cc_name = v1_lag. cc_name and
+       v1. cc_name = v1_lead. cc_name and
+       v1.rn = v1_lag.rn + 1 and
+       v1.rn = v1_lead.rn - 1)
+  select  *
+ from v2
+ where  d_year = 1999 and
+        avg_monthly_sales > 0 and
+        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+ order by sum_sales - avg_monthly_sales, nsum
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query58.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query58.groovy
new file mode 100644
index 0000000000..a6b104862c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query58.groovy
@@ -0,0 +1,105 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query58") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_58 '''
+    explain shape plan
+
+
+
+
+with ss_items as
+ (select i_item_id item_id
+        ,sum(ss_ext_sales_price) ss_item_rev 
+ from store_sales
+     ,item
+     ,date_dim
+ where ss_item_sk = i_item_sk
+   and d_date in (select d_date
+                  from date_dim
+                  where d_week_seq = (select d_week_seq 
+                                      from date_dim
+                                      where d_date = '2001-03-24'))
+   and ss_sold_date_sk   = d_date_sk
+ group by i_item_id),
+ cs_items as
+ (select i_item_id item_id
+        ,sum(cs_ext_sales_price) cs_item_rev
+  from catalog_sales
+      ,item
+      ,date_dim
+ where cs_item_sk = i_item_sk
+  and  d_date in (select d_date
+                  from date_dim
+                  where d_week_seq = (select d_week_seq 
+                                      from date_dim
+                                      where d_date = '2001-03-24'))
+  and  cs_sold_date_sk = d_date_sk
+ group by i_item_id),
+ ws_items as
+ (select i_item_id item_id
+        ,sum(ws_ext_sales_price) ws_item_rev
+  from web_sales
+      ,item
+      ,date_dim
+ where ws_item_sk = i_item_sk
+  and  d_date in (select d_date
+                  from date_dim
+                  where d_week_seq =(select d_week_seq 
+                                     from date_dim
+                                     where d_date = '2001-03-24'))
+  and ws_sold_date_sk   = d_date_sk
+ group by i_item_id)
+  select  ss_items.item_id
+       ,ss_item_rev
+       ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev
+       ,cs_item_rev
+       ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev
+       ,ws_item_rev
+       ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev
+       ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
+ from ss_items,cs_items,ws_items
+ where ss_items.item_id=cs_items.item_id
+   and ss_items.item_id=ws_items.item_id 
+   and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
+   and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
+   and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
+   and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
+   and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
+   and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
+ order by item_id
+         ,ss_item_rev
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query59.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query59.groovy
new file mode 100644
index 0000000000..50c41ed925
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query59.groovy
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query59") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_59 '''
+    explain shape plan
+
+
+
+with wss as 
+ (select d_week_seq,
+        ss_store_sk,
+        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from store_sales,date_dim
+ where d_date_sk = ss_sold_date_sk
+ group by d_week_seq,ss_store_sk
+ )
+  select  s_store_name1,s_store_id1,d_week_seq1
+       ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
+       ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
+       ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
+ from
+ (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
+        ,s_store_id s_store_id1,sun_sales sun_sales1
+        ,mon_sales mon_sales1,tue_sales tue_sales1
+        ,wed_sales wed_sales1,thu_sales thu_sales1
+        ,fri_sales fri_sales1,sat_sales sat_sales1
+  from wss,store,date_dim d
+  where d.d_week_seq = wss.d_week_seq and
+        ss_store_sk = s_store_sk and 
+        d_month_seq between 1196 and 1196 + 11) y,
+ (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
+        ,s_store_id s_store_id2,sun_sales sun_sales2
+        ,mon_sales mon_sales2,tue_sales tue_sales2
+        ,wed_sales wed_sales2,thu_sales thu_sales2
+        ,fri_sales fri_sales2,sat_sales sat_sales2
+  from wss,store,date_dim d
+  where d.d_week_seq = wss.d_week_seq and
+        ss_store_sk = s_store_sk and 
+        d_month_seq between 1196+ 12 and 1196 + 23) x
+ where s_store_id1=s_store_id2
+   and d_week_seq1=d_week_seq2-52
+ order by s_store_name1,s_store_id1,d_week_seq1
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query6.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query6.groovy
new file mode 100644
index 0000000000..088d3fb2ec
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query6.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query6") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    // TODO: uncomment following line to get better shape 
+    // sql 'set max_join_number_bushy_tree=6'
+
+    qt_ds_shape_6 '''
+    explain shape plan
+
+
+
+
+select  a.ca_state state, count(*) cnt
+ from customer_address a
+     ,customer c
+     ,store_sales s
+     ,date_dim d
+     ,item i
+ where       a.ca_address_sk = c.c_current_addr_sk
+ 	and c.c_customer_sk = s.ss_customer_sk
+ 	and s.ss_sold_date_sk = d.d_date_sk
+ 	and s.ss_item_sk = i.i_item_sk
+ 	and d.d_month_seq = 
+ 	     (select distinct (d_month_seq)
+ 	      from date_dim
+               where d_year = 2002
+ 	        and d_moy = 3 )
+ 	and i.i_current_price > 1.2 * 
+             (select avg(j.i_current_price) 
+ 	     from item j 
+ 	     where j.i_category = i.i_category)
+ group by a.ca_state
+ having count(*) >= 10
+ order by cnt, a.ca_state 
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query60.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query60.groovy
new file mode 100644
index 0000000000..18d95002cd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query60.groovy
@@ -0,0 +1,118 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query60") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_60 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select
+          i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -7 
+ group by i_item_id),
+ cs as (
+ select
+          i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -7 
+ group by i_item_id),
+ ws as (
+ select
+          i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -7
+ group by i_item_id)
+  select   
+  i_item_id
+,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_item_id
+ order by i_item_id
+      ,total_sales
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query61.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query61.groovy
new file mode 100644
index 0000000000..70c917d449
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query61.groovy
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query61") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_61 '''
+    explain shape plan
+
+
+
+
+select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
+from
+  (select sum(ss_ext_sales_price) promotions
+   from  store_sales
+        ,store
+        ,promotion
+        ,date_dim
+        ,customer
+        ,customer_address 
+        ,item
+   where ss_sold_date_sk = d_date_sk
+   and   ss_store_sk = s_store_sk
+   and   ss_promo_sk = p_promo_sk
+   and   ss_customer_sk= c_customer_sk
+   and   ca_address_sk = c_current_addr_sk
+   and   ss_item_sk = i_item_sk 
+   and   ca_gmt_offset = -7
+   and   i_category = 'Jewelry'
+   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
+   and   s_gmt_offset = -7
+   and   d_year = 1999
+   and   d_moy  = 11) promotional_sales,
+  (select sum(ss_ext_sales_price) total
+   from  store_sales
+        ,store
+        ,date_dim
+        ,customer
+        ,customer_address
+        ,item
+   where ss_sold_date_sk = d_date_sk
+   and   ss_store_sk = s_store_sk
+   and   ss_customer_sk= c_customer_sk
+   and   ca_address_sk = c_current_addr_sk
+   and   ss_item_sk = i_item_sk
+   and   ca_gmt_offset = -7
+   and   i_category = 'Jewelry'
+   and   s_gmt_offset = -7
+   and   d_year = 1999
+   and   d_moy  = 11) all_sales
+order by promotions, total
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query62.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query62.groovy
new file mode 100644
index 0000000000..0d9f5b6a4b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query62.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query62") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_62 '''
+    explain shape plan
+
+
+
+
+select  
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,web_name
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and 
+                 (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and 
+                 (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
+                 (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   web_sales
+  ,warehouse
+  ,ship_mode
+  ,web_site
+  ,date_dim
+where
+    d_month_seq between 1194 and 1194 + 11
+and ws_ship_date_sk   = d_date_sk
+and ws_warehouse_sk   = w_warehouse_sk
+and ws_ship_mode_sk   = sm_ship_mode_sk
+and ws_web_site_sk    = web_site_sk
+group by
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,web_name
+order by substr(w_warehouse_name,1,20)
+        ,sm_type
+       ,web_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query63.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query63.groovy
new file mode 100644
index 0000000000..9d6d3d7a7b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query63.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query63") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_63 '''
+    explain shape plan
+
+
+
+
+select  * 
+from (select i_manager_id
+             ,sum(ss_sales_price) sum_sales
+             ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
+      from item
+          ,store_sales
+          ,date_dim
+          ,store
+      where ss_item_sk = i_item_sk
+        and ss_sold_date_sk = d_date_sk
+        and ss_store_sk = s_store_sk
+        and d_month_seq in (1181,1181+1,1181+2,1181+3,1181+4,1181+5,1181+6,1181+7,1181+8,1181+9,1181+10,1181+11)
+        and ((    i_category in ('Books','Children','Electronics')
+              and i_class in ('personal','portable','reference','self-help')
+              and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
+		                  'exportiunivamalg #9','scholaramalgamalg #9'))
+           or(    i_category in ('Women','Music','Men')
+              and i_class in ('accessories','classical','fragrances','pants')
+              and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
+		                 'importoamalg #1')))
+group by i_manager_id, d_moy) tmp1
+where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+order by i_manager_id
+        ,avg_monthly_sales
+        ,sum_sales
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query64.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query64.groovy
new file mode 100644
index 0000000000..342b1a1ed2
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query64.groovy
@@ -0,0 +1,159 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query64") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    def ds64 = '''
+ with cs_ui as
+  (select cs_item_sk
+         ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
+   from catalog_sales
+       ,catalog_returns
+   where cs_item_sk = cr_item_sk
+     and cs_order_number = cr_order_number
+   group by cs_item_sk
+   having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
+ cross_sales as
+  (select i_product_name product_name
+      ,i_item_sk item_sk
+      ,s_store_name store_name
+      ,s_zip store_zip
+      ,ad1.ca_street_number b_street_number
+      ,ad1.ca_street_name b_street_name
+      ,ad1.ca_city b_city
+      ,ad1.ca_zip b_zip
+      ,ad2.ca_street_number c_street_number
+      ,ad2.ca_street_name c_street_name
+      ,ad2.ca_city c_city
+      ,ad2.ca_zip c_zip
+      ,d1.d_year as syear
+      ,d2.d_year as fsyear
+      ,d3.d_year s2year
+      ,count(*) cnt
+      ,sum(ss_wholesale_cost) s1
+      ,sum(ss_list_price) s2
+      ,sum(ss_coupon_amt) s3
+   FROM   store_sales
+         ,store_returns
+         ,cs_ui
+         ,date_dim d1
+         ,date_dim d2
+         ,date_dim d3
+         ,store
+         ,customer
+         ,customer_demographics cd1
+         ,customer_demographics cd2
+         ,promotion
+         ,household_demographics hd1
+         ,household_demographics hd2
+         ,customer_address ad1
+         ,customer_address ad2
+         ,income_band ib1
+         ,income_band ib2
+         ,item
+   WHERE  ss_store_sk = s_store_sk AND
+          ss_sold_date_sk = d1.d_date_sk AND
+          ss_customer_sk = c_customer_sk AND
+          ss_cdemo_sk= cd1.cd_demo_sk AND
+          ss_hdemo_sk = hd1.hd_demo_sk AND
+          ss_addr_sk = ad1.ca_address_sk and
+          ss_item_sk = i_item_sk and
+          ss_item_sk = sr_item_sk and
+          ss_ticket_number = sr_ticket_number and
+          ss_item_sk = cs_ui.cs_item_sk and
+          c_current_cdemo_sk = cd2.cd_demo_sk AND
+          c_current_hdemo_sk = hd2.hd_demo_sk AND
+          c_current_addr_sk = ad2.ca_address_sk and
+          c_first_sales_date_sk = d2.d_date_sk and
+          c_first_shipto_date_sk = d3.d_date_sk and
+          ss_promo_sk = p_promo_sk and
+          hd1.hd_income_band_sk = ib1.ib_income_band_sk and
+          hd2.hd_income_band_sk = ib2.ib_income_band_sk and
+          cd1.cd_marital_status <> cd2.cd_marital_status and
+          i_color in ('blanched','medium','brown','chocolate','burlywood','drab') and
+          i_current_price between 23 and 23 + 10 and
+          i_current_price between 23 + 1 and 23 + 15
+ group by i_product_name
+        ,i_item_sk
+        ,s_store_name
+        ,s_zip
+        ,ad1.ca_street_number
+        ,ad1.ca_street_name
+        ,ad1.ca_city
+        ,ad1.ca_zip
+        ,ad2.ca_street_number
+        ,ad2.ca_street_name
+        ,ad2.ca_city
+        ,ad2.ca_zip
+        ,d1.d_year
+        ,d2.d_year
+        ,d3.d_year
+ )
+ select cs1.product_name
+      ,cs1.store_name
+      ,cs1.store_zip
+      ,cs1.b_street_number
+      ,cs1.b_street_name
+      ,cs1.b_city
+      ,cs1.b_zip
+      ,cs1.c_street_number
+      ,cs1.c_street_name
+      ,cs1.c_city
+      ,cs1.c_zip
+      ,cs1.syear
+      ,cs1.cnt
+      ,cs1.s1 as s11
+      ,cs1.s2 as s21
+      ,cs1.s3 as s31
+      ,cs2.s1 as s12
+      ,cs2.s2 as s22
+      ,cs2.s3 as s32
+      ,cs2.syear
+      ,cs2.cnt
+ from cross_sales cs1,cross_sales cs2
+ where cs1.item_sk=cs2.item_sk and
+      cs1.syear = 2001 and
+      cs2.syear = 2001 + 1 and
+      cs2.cnt <= cs1.cnt and
+      cs1.store_name = cs2.store_name and
+      cs1.store_zip = cs2.store_zip
+ order by cs1.product_name
+        ,cs1.store_name
+        ,cs2.cnt
+        ,cs1.s1
+        ,cs2.s1;
+
+    '''
+
+   qt_ds_shape_64 'explain shape plan ' + ds64
+
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query65.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query65.groovy
new file mode 100644
index 0000000000..524325a739
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query65.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query65") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_65 '''
+    explain shape plan
+
+
+
+
+select 
+	s_store_name,
+	i_item_desc,
+	sc.revenue,
+	i_current_price,
+	i_wholesale_cost,
+	i_brand
+ from store, item,
+     (select ss_store_sk, avg(revenue) as ave
+ 	from
+ 	    (select  ss_store_sk, ss_item_sk, 
+ 		     sum(ss_sales_price) as revenue
+ 		from store_sales, date_dim
+ 		where ss_sold_date_sk = d_date_sk and d_month_seq between 1221 and 1221+11
+ 		group by ss_store_sk, ss_item_sk) sa
+ 	group by ss_store_sk) sb,
+     (select  ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue
+ 	from store_sales, date_dim
+ 	where ss_sold_date_sk = d_date_sk and d_month_seq between 1221 and 1221+11
+ 	group by ss_store_sk, ss_item_sk) sc
+ where sb.ss_store_sk = sc.ss_store_sk and 
+       sc.revenue <= 0.1 * sb.ave and
+       s_store_sk = sc.ss_store_sk and
+       i_item_sk = sc.ss_item_sk
+ order by s_store_name, i_item_desc
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query66.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query66.groovy
new file mode 100644
index 0000000000..7659b2ec1b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query66.groovy
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query66") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_66 '''
+    explain shape plan
+
+
+
+
+select   
+         w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+        ,ship_carriers
+        ,year
+ 	,sum(jan_sales) as jan_sales
+ 	,sum(feb_sales) as feb_sales
+ 	,sum(mar_sales) as mar_sales
+ 	,sum(apr_sales) as apr_sales
+ 	,sum(may_sales) as may_sales
+ 	,sum(jun_sales) as jun_sales
+ 	,sum(jul_sales) as jul_sales
+ 	,sum(aug_sales) as aug_sales
+ 	,sum(sep_sales) as sep_sales
+ 	,sum(oct_sales) as oct_sales
+ 	,sum(nov_sales) as nov_sales
+ 	,sum(dec_sales) as dec_sales
+ 	,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
+ 	,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
+ 	,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
+ 	,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
+ 	,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
+ 	,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
+ 	,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
+ 	,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
+ 	,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
+ 	,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
+ 	,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
+ 	,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
+ 	,sum(jan_net) as jan_net
+ 	,sum(feb_net) as feb_net
+ 	,sum(mar_net) as mar_net
+ 	,sum(apr_net) as apr_net
+ 	,sum(may_net) as may_net
+ 	,sum(jun_net) as jun_net
+ 	,sum(jul_net) as jul_net
+ 	,sum(aug_net) as aug_net
+ 	,sum(sep_net) as sep_net
+ 	,sum(oct_net) as oct_net
+ 	,sum(nov_net) as nov_net
+ 	,sum(dec_net) as dec_net
+ from (
+     select 
+ 	w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,concat(concat('GREAT EASTERN ', ','), ' LATVIAN') as ship_carriers
+       ,d_year as year
+ 	,sum(case when d_moy = 1 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jan_sales
+ 	,sum(case when d_moy = 2 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as feb_sales
+ 	,sum(case when d_moy = 3 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as mar_sales
+ 	,sum(case when d_moy = 4 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as apr_sales
+ 	,sum(case when d_moy = 5 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as may_sales
+ 	,sum(case when d_moy = 6 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jun_sales
+ 	,sum(case when d_moy = 7 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jul_sales
+ 	,sum(case when d_moy = 8 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as aug_sales
+ 	,sum(case when d_moy = 9 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as sep_sales
+ 	,sum(case when d_moy = 10 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as oct_sales
+ 	,sum(case when d_moy = 11
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as nov_sales
+ 	,sum(case when d_moy = 12
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as dec_sales
+ 	,sum(case when d_moy = 1 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jan_net
+ 	,sum(case when d_moy = 2
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as feb_net
+ 	,sum(case when d_moy = 3 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as mar_net
+ 	,sum(case when d_moy = 4 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as apr_net
+ 	,sum(case when d_moy = 5 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as may_net
+ 	,sum(case when d_moy = 6 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jun_net
+ 	,sum(case when d_moy = 7 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jul_net
+ 	,sum(case when d_moy = 8 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as aug_net
+ 	,sum(case when d_moy = 9 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as sep_net
+ 	,sum(case when d_moy = 10 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as oct_net
+ 	,sum(case when d_moy = 11
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as nov_net
+ 	,sum(case when d_moy = 12
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as dec_net
+     from
+          web_sales
+         ,warehouse
+         ,date_dim
+         ,time_dim
+ 	  ,ship_mode
+     where
+            ws_warehouse_sk =  w_warehouse_sk
+        and ws_sold_date_sk = d_date_sk
+        and ws_sold_time_sk = t_time_sk
+ 	and ws_ship_mode_sk = sm_ship_mode_sk
+        and d_year = 1998
+ 	and t_time between 48821 and 48821+28800 
+ 	and sm_carrier in ('GREAT EASTERN','LATVIAN')
+     group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+       ,d_year
+ union all
+     select 
+ 	w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,concat(concat('GREAT EASTERN ', ','), ' LATVIAN') as ship_carriers
+       ,d_year as year
+ 	,sum(case when d_moy = 1 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jan_sales
+ 	,sum(case when d_moy = 2 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as feb_sales
+ 	,sum(case when d_moy = 3 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as mar_sales
+ 	,sum(case when d_moy = 4 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as apr_sales
+ 	,sum(case when d_moy = 5 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as may_sales
+ 	,sum(case when d_moy = 6 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jun_sales
+ 	,sum(case when d_moy = 7 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jul_sales
+ 	,sum(case when d_moy = 8 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as aug_sales
+ 	,sum(case when d_moy = 9 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as sep_sales
+ 	,sum(case when d_moy = 10 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as oct_sales
+ 	,sum(case when d_moy = 11
+ 		then cs_ext_list_price* cs_quantity else 0 end) as nov_sales
+ 	,sum(case when d_moy = 12
+ 		then cs_ext_list_price* cs_quantity else 0 end) as dec_sales
+ 	,sum(case when d_moy = 1 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net
+ 	,sum(case when d_moy = 2 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net
+ 	,sum(case when d_moy = 3 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net
+ 	,sum(case when d_moy = 4 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net
+ 	,sum(case when d_moy = 5 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net
+ 	,sum(case when d_moy = 6 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net
+ 	,sum(case when d_moy = 7 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net
+ 	,sum(case when d_moy = 8 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net
+ 	,sum(case when d_moy = 9 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net
+ 	,sum(case when d_moy = 10 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net
+ 	,sum(case when d_moy = 11
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net
+ 	,sum(case when d_moy = 12
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net
+     from
+          catalog_sales
+         ,warehouse
+         ,date_dim
+         ,time_dim
+ 	 ,ship_mode
+     where
+            cs_warehouse_sk =  w_warehouse_sk
+        and cs_sold_date_sk = d_date_sk
+        and cs_sold_time_sk = t_time_sk
+ 	and cs_ship_mode_sk = sm_ship_mode_sk
+        and d_year = 1998
+ 	and t_time between 48821 AND 48821+28800 
+ 	and sm_carrier in ('GREAT EASTERN','LATVIAN')
+     group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+       ,d_year
+ ) x
+ group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,ship_carriers
+       ,year
+ order by w_warehouse_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query67.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query67.groovy
new file mode 100644
index 0000000000..7d55220c9d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query67.groovy
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query67") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_67 '''
+    explain shape plan
+
+
+
+
+select  *
+from (select i_category
+            ,i_class
+            ,i_brand
+            ,i_product_name
+            ,d_year
+            ,d_qoy
+            ,d_moy
+            ,s_store_id
+            ,sumsales
+            ,rank() over (partition by i_category order by sumsales desc) rk
+      from (select i_category
+                  ,i_class
+                  ,i_brand
+                  ,i_product_name
+                  ,d_year
+                  ,d_qoy
+                  ,d_moy
+                  ,s_store_id
+                  ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales
+            from store_sales
+                ,date_dim
+                ,store
+                ,item
+       where  ss_sold_date_sk=d_date_sk
+          and ss_item_sk=i_item_sk
+          and ss_store_sk = s_store_sk
+          and d_month_seq between 1206 and 1206+11
+       group by  rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2
+where rk <= 100
+order by i_category
+        ,i_class
+        ,i_brand
+        ,i_product_name
+        ,d_year
+        ,d_qoy
+        ,d_moy
+        ,s_store_id
+        ,sumsales
+        ,rk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query68.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query68.groovy
new file mode 100644
index 0000000000..24c974ebb8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query68.groovy
@@ -0,0 +1,82 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query68") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_68 '''
+    explain shape plan
+
+
+
+
+select  c_last_name
+       ,c_first_name
+       ,ca_city
+       ,bought_city
+       ,ss_ticket_number
+       ,extended_price
+       ,extended_tax
+       ,list_price
+ from (select ss_ticket_number
+             ,ss_customer_sk
+             ,ca_city bought_city
+             ,sum(ss_ext_sales_price) extended_price 
+             ,sum(ss_ext_list_price) list_price
+             ,sum(ss_ext_tax) extended_tax 
+       from store_sales
+           ,date_dim
+           ,store
+           ,household_demographics
+           ,customer_address 
+       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+         and store_sales.ss_store_sk = store.s_store_sk  
+        and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+        and store_sales.ss_addr_sk = customer_address.ca_address_sk
+        and date_dim.d_dom between 1 and 2 
+        and (household_demographics.hd_dep_count = 8 or
+             household_demographics.hd_vehicle_count= -1)
+        and date_dim.d_year in (1998,1998+1,1998+2)
+        and store.s_city in ('Pleasant Hill','Five Points')
+       group by ss_ticket_number
+               ,ss_customer_sk
+               ,ss_addr_sk,ca_city) dn
+      ,customer
+      ,customer_address current_addr
+ where ss_customer_sk = c_customer_sk
+   and customer.c_current_addr_sk = current_addr.ca_address_sk
+   and current_addr.ca_city <> bought_city
+ order by c_last_name
+         ,ss_ticket_number
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query69.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query69.groovy
new file mode 100644
index 0000000000..698aae70a0
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query69.groovy
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query69") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_69 '''
+    explain shape plan
+
+
+
+
+select  
+  cd_gender,
+  cd_marital_status,
+  cd_education_status,
+  count(*) cnt1,
+  cd_purchase_estimate,
+  count(*) cnt2,
+  cd_credit_rating,
+  count(*) cnt3
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  ca_state in ('TX','VA','MI') and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2000 and
+                d_moy between 1 and 1+2) and
+   (not exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2000 and
+                  d_moy between 1 and 1+2) and
+    not exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2000 and
+                  d_moy between 1 and 1+2))
+ group by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating
+ order by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query7.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query7.groovy
new file mode 100644
index 0000000000..ef8733e8da
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query7.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query7") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_7 '''
+    explain shape plan
+
+
+
+
+select  i_item_id, 
+        avg(ss_quantity) agg1,
+        avg(ss_list_price) agg2,
+        avg(ss_coupon_amt) agg3,
+        avg(ss_sales_price) agg4 
+ from store_sales, customer_demographics, date_dim, item, promotion
+ where ss_sold_date_sk = d_date_sk and
+       ss_item_sk = i_item_sk and
+       ss_cdemo_sk = cd_demo_sk and
+       ss_promo_sk = p_promo_sk and
+       cd_gender = 'F' and 
+       cd_marital_status = 'W' and
+       cd_education_status = 'College' and
+       (p_channel_email = 'N' or p_channel_event = 'N') and
+       d_year = 2001 
+ group by i_item_id
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query70.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query70.groovy
new file mode 100644
index 0000000000..62c69a3586
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query70.groovy
@@ -0,0 +1,78 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query70") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_70 '''
+    explain shape plan
+
+
+
+
+select  
+    sum(ss_net_profit) as total_sum
+   ,s_state
+   ,s_county
+   ,grouping(s_state)+grouping(s_county) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(s_state)+grouping(s_county),
+ 	case when grouping(s_county) = 0 then s_state end 
+ 	order by sum(ss_net_profit) desc) as rank_within_parent
+ from
+    store_sales
+   ,date_dim       d1
+   ,store
+ where
+    d1.d_month_seq between 1213 and 1213+11
+ and d1.d_date_sk = ss_sold_date_sk
+ and s_store_sk  = ss_store_sk
+ and s_state in
+             ( select s_state
+               from  (select s_state as s_state,
+ 			    rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
+                      from   store_sales, store, date_dim
+                      where  d_month_seq between 1213 and 1213+11
+ 			    and d_date_sk = ss_sold_date_sk
+ 			    and s_store_sk  = ss_store_sk
+                      group by s_state
+                     ) tmp1 
+               where ranking <= 5
+             )
+ group by rollup(s_state,s_county)
+ order by
+   lochierarchy desc
+  ,case when lochierarchy = 0 then s_state end
+  ,rank_within_parent
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query71.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query71.groovy
new file mode 100644
index 0000000000..a732004237
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query71.groovy
@@ -0,0 +1,80 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query71") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_71 '''
+    explain shape plan
+
+
+
+
+select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
+ 	sum(ext_price) ext_price
+ from item, (select ws_ext_sales_price as ext_price, 
+                        ws_sold_date_sk as sold_date_sk,
+                        ws_item_sk as sold_item_sk,
+                        ws_sold_time_sk as time_sk  
+                 from web_sales,date_dim
+                 where d_date_sk = ws_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 union all
+                 select cs_ext_sales_price as ext_price,
+                        cs_sold_date_sk as sold_date_sk,
+                        cs_item_sk as sold_item_sk,
+                        cs_sold_time_sk as time_sk
+                 from catalog_sales,date_dim
+                 where d_date_sk = cs_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 union all
+                 select ss_ext_sales_price as ext_price,
+                        ss_sold_date_sk as sold_date_sk,
+                        ss_item_sk as sold_item_sk,
+                        ss_sold_time_sk as time_sk
+                 from store_sales,date_dim
+                 where d_date_sk = ss_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 ) tmp,time_dim
+ where
+   sold_item_sk = i_item_sk
+   and i_manager_id=1
+   and time_sk = t_time_sk
+   and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
+ group by i_brand, i_brand_id,t_hour,t_minute
+ order by ext_price desc, i_brand_id
+ ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query72.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query72.groovy
new file mode 100644
index 0000000000..0be1a56791
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query72.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query72") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_72 '''
+    explain shape plan
+
+
+
+
+select  i_item_desc
+      ,w_warehouse_name
+      ,d1.d_week_seq
+      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
+      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
+      ,count(*) total_cnt
+from catalog_sales
+join inventory on (cs_item_sk = inv_item_sk)
+join warehouse on (w_warehouse_sk=inv_warehouse_sk)
+join item on (i_item_sk = cs_item_sk)
+join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
+join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
+join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
+join date_dim d2 on (inv_date_sk = d2.d_date_sk)
+join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
+left outer join promotion on (cs_promo_sk=p_promo_sk)
+left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
+where d1.d_week_seq = d2.d_week_seq
+  and inv_quantity_on_hand < cs_quantity 
+  and d3.d_date > d1.d_date + 5
+  and hd_buy_potential = '501-1000'
+  and d1.d_year = 2002
+  and cd_marital_status = 'W'
+group by i_item_desc,w_warehouse_name,d1.d_week_seq
+order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query73.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query73.groovy
new file mode 100644
index 0000000000..9dabb2aefa
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query73.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query73") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_73 '''
+    explain shape plan
+
+
+
+
+select c_last_name
+       ,c_first_name
+       ,c_salutation
+       ,c_preferred_cust_flag 
+       ,ss_ticket_number
+       ,cnt from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,count(*) cnt
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and date_dim.d_dom between 1 and 2 
+    and (household_demographics.hd_buy_potential = '501-1000' or
+         household_demographics.hd_buy_potential = 'Unknown')
+    and household_demographics.hd_vehicle_count > 0
+    and case when household_demographics.hd_vehicle_count > 0 then 
+             household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
+    and date_dim.d_year in (2000,2000+1,2000+2)
+    and store.s_county in ('Fairfield County','Walker County','Daviess County','Barrow County')
+    group by ss_ticket_number,ss_customer_sk) dj,customer
+    where ss_customer_sk = c_customer_sk
+      and cnt between 1 and 5
+    order by cnt desc, c_last_name asc;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query74.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query74.groovy
new file mode 100644
index 0000000000..ca97c586ee
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query74.groovy
@@ -0,0 +1,100 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query74") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_74 '''
+    explain shape plan
+
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,d_year as year
+       ,stddev_samp(ss_net_paid) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+   and d_year in (1999,1999+1)
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,d_year
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,d_year as year
+       ,stddev_samp(ws_net_paid) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+   and d_year in (1999,1999+1)
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,d_year
+         )
+  select 
+        t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+         and t_s_firstyear.customer_id = t_w_secyear.customer_id
+         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+         and t_s_firstyear.sale_type = 's'
+         and t_w_firstyear.sale_type = 'w'
+         and t_s_secyear.sale_type = 's'
+         and t_w_secyear.sale_type = 'w'
+         and t_s_firstyear.year = 1999
+         and t_s_secyear.year = 1999+1
+         and t_w_firstyear.year = 1999
+         and t_w_secyear.year = 1999+1
+         and t_s_firstyear.year_total > 0
+         and t_w_firstyear.year_total > 0
+         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
+           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
+ order by 2,1,3
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query75.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query75.groovy
new file mode 100644
index 0000000000..d01415b6d0
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query75.groovy
@@ -0,0 +1,110 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query75") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_75 '''
+    explain shape plan
+
+
+
+
+WITH all_sales AS (
+ SELECT d_year
+       ,i_brand_id
+       ,i_class_id
+       ,i_category_id
+       ,i_manufact_id
+       ,SUM(sales_cnt) AS sales_cnt
+       ,SUM(sales_amt) AS sales_amt
+ FROM (SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt
+             ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
+       FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk
+                          JOIN date_dim ON d_date_sk=cs_sold_date_sk
+                          LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number 
+                                                    AND cs_item_sk=cr_item_sk)
+       WHERE i_category='Home'
+       UNION
+       SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt
+             ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt
+       FROM store_sales JOIN item ON i_item_sk=ss_item_sk
+                        JOIN date_dim ON d_date_sk=ss_sold_date_sk
+                        LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number 
+                                                AND ss_item_sk=sr_item_sk)
+       WHERE i_category='Home'
+       UNION
+       SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt
+             ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt
+       FROM web_sales JOIN item ON i_item_sk=ws_item_sk
+                      JOIN date_dim ON d_date_sk=ws_sold_date_sk
+                      LEFT JOIN web_returns ON (ws_order_number=wr_order_number 
+                                            AND ws_item_sk=wr_item_sk)
+       WHERE i_category='Home') sales_detail
+ GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
+ SELECT  prev_yr.d_year AS prev_year
+                          ,curr_yr.d_year AS year
+                          ,curr_yr.i_brand_id
+                          ,curr_yr.i_class_id
+                          ,curr_yr.i_category_id
+                          ,curr_yr.i_manufact_id
+                          ,prev_yr.sales_cnt AS prev_yr_cnt
+                          ,curr_yr.sales_cnt AS curr_yr_cnt
+                          ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff
+                          ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
+ FROM all_sales curr_yr, all_sales prev_yr
+ WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
+   AND curr_yr.i_class_id=prev_yr.i_class_id
+   AND curr_yr.i_category_id=prev_yr.i_category_id
+   AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
+   AND curr_yr.d_year=1999
+   AND prev_yr.d_year=1999-1
+   AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9
+ ORDER BY sales_cnt_diff,sales_amt_diff
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query76.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query76.groovy
new file mode 100644
index 0000000000..421ffcef1f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query76.groovy
@@ -0,0 +1,64 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query76") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_76 '''
+    explain shape plan
+
+
+
+
+select  channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
+        SELECT 'store' as channel, 'ss_hdemo_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
+         FROM store_sales, item, date_dim
+         WHERE ss_hdemo_sk IS NULL
+           AND ss_sold_date_sk=d_date_sk
+           AND ss_item_sk=i_item_sk
+        UNION ALL
+        SELECT 'web' as channel, 'ws_bill_addr_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price
+         FROM web_sales, item, date_dim
+         WHERE ws_bill_addr_sk IS NULL
+           AND ws_sold_date_sk=d_date_sk
+           AND ws_item_sk=i_item_sk
+        UNION ALL
+        SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price
+         FROM catalog_sales, item, date_dim
+         WHERE cs_warehouse_sk IS NULL
+           AND cs_sold_date_sk=d_date_sk
+           AND cs_item_sk=i_item_sk) foo
+GROUP BY channel, col_name, d_year, d_qoy, i_category
+ORDER BY channel, col_name, d_year, d_qoy, i_category
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query77.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query77.groovy
new file mode 100644
index 0000000000..72a5f87468
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query77.groovy
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query77") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_77 '''
+    explain shape plan
+
+
+
+
+with ss as
+ (select s_store_sk,
+         sum(ss_ext_sales_price) as sales,
+         sum(ss_net_profit) as profit
+ from store_sales,
+      date_dim,
+      store
+ where ss_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date) 
+                  and (cast('1998-08-05' as date) +  interval 30 day) 
+       and ss_store_sk = s_store_sk
+ group by s_store_sk)
+ ,
+ sr as
+ (select s_store_sk,
+         sum(sr_return_amt) as returns,
+         sum(sr_net_loss) as profit_loss
+ from store_returns,
+      date_dim,
+      store
+ where sr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and sr_store_sk = s_store_sk
+ group by s_store_sk), 
+ cs as
+ (select cs_call_center_sk,
+        sum(cs_ext_sales_price) as sales,
+        sum(cs_net_profit) as profit
+ from catalog_sales,
+      date_dim
+ where cs_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+ group by cs_call_center_sk 
+ ), 
+ cr as
+ (select cr_call_center_sk,
+         sum(cr_return_amount) as returns,
+         sum(cr_net_loss) as profit_loss
+ from catalog_returns,
+      date_dim
+ where cr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+ group by cr_call_center_sk
+ ), 
+ ws as
+ ( select wp_web_page_sk,
+        sum(ws_ext_sales_price) as sales,
+        sum(ws_net_profit) as profit
+ from web_sales,
+      date_dim,
+      web_page
+ where ws_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and ws_web_page_sk = wp_web_page_sk
+ group by wp_web_page_sk), 
+ wr as
+ (select wp_web_page_sk,
+        sum(wr_return_amt) as returns,
+        sum(wr_net_loss) as profit_loss
+ from web_returns,
+      date_dim,
+      web_page
+ where wr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and wr_web_page_sk = wp_web_page_sk
+ group by wp_web_page_sk)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , ss.s_store_sk as id
+        , sales
+        , coalesce(returns, 0) as returns
+        , (profit - coalesce(profit_loss,0)) as profit
+ from   ss left join sr
+        on  ss.s_store_sk = sr.s_store_sk
+ union all
+ select 'catalog channel' as channel
+        , cs_call_center_sk as id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from  cs
+       , cr
+ union all
+ select 'web channel' as channel
+        , ws.wp_web_page_sk as id
+        , sales
+        , coalesce(returns, 0) returns
+        , (profit - coalesce(profit_loss,0)) as profit
+ from   ws left join wr
+        on  ws.wp_web_page_sk = wr.wp_web_page_sk
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query78.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query78.groovy
new file mode 100644
index 0000000000..23ec3579a8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query78.groovy
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query78") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_78 '''
+    explain shape plan
+
+
+
+
+with ws as
+  (select d_year AS ws_sold_year, ws_item_sk,
+    ws_bill_customer_sk ws_customer_sk,
+    sum(ws_quantity) ws_qty,
+    sum(ws_wholesale_cost) ws_wc,
+    sum(ws_sales_price) ws_sp
+   from web_sales
+   left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk
+   join date_dim on ws_sold_date_sk = d_date_sk
+   where wr_order_number is null
+   group by d_year, ws_item_sk, ws_bill_customer_sk
+   ),
+cs as
+  (select d_year AS cs_sold_year, cs_item_sk,
+    cs_bill_customer_sk cs_customer_sk,
+    sum(cs_quantity) cs_qty,
+    sum(cs_wholesale_cost) cs_wc,
+    sum(cs_sales_price) cs_sp
+   from catalog_sales
+   left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk
+   join date_dim on cs_sold_date_sk = d_date_sk
+   where cr_order_number is null
+   group by d_year, cs_item_sk, cs_bill_customer_sk
+   ),
+ss as
+  (select d_year AS ss_sold_year, ss_item_sk,
+    ss_customer_sk,
+    sum(ss_quantity) ss_qty,
+    sum(ss_wholesale_cost) ss_wc,
+    sum(ss_sales_price) ss_sp
+   from store_sales
+   left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk
+   join date_dim on ss_sold_date_sk = d_date_sk
+   where sr_ticket_number is null
+   group by d_year, ss_item_sk, ss_customer_sk
+   )
+ select 
+ss_item_sk,
+round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio,
+ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price,
+coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,
+coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,
+coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price
+from ss
+left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk)
+left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=ss_item_sk and cs_customer_sk=ss_customer_sk)
+where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2000
+order by 
+  ss_item_sk,
+  ss_qty desc, ss_wc desc, ss_sp desc,
+  other_chan_qty,
+  other_chan_wholesale_cost,
+  other_chan_sales_price,
+  ratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query79.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query79.groovy
new file mode 100644
index 0000000000..2cdd1a0084
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query79.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query79") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_79 '''
+    explain shape plan
+
+
+
+
+select 
+  c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
+  from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,store.s_city
+          ,sum(ss_coupon_amt) amt
+          ,sum(ss_net_profit) profit
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and (household_demographics.hd_dep_count = 5 or household_demographics.hd_vehicle_count > 4)
+    and date_dim.d_dow = 1
+    and date_dim.d_year in (1998,1998+1,1998+2) 
+    and store.s_number_employees between 200 and 295
+    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,store.s_city) ms,customer
+    where ss_customer_sk = c_customer_sk
+ order by c_last_name,c_first_name,substr(s_city,1,30), profit
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query8.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query8.groovy
new file mode 100644
index 0000000000..0370cac4fd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query8.groovy
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query8") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_8 '''
+    explain shape plan
+
+
+
+
+select  s_store_name
+      ,sum(ss_net_profit)
+ from store_sales
+     ,date_dim
+     ,store,
+     (select ca_zip
+     from (
+      SELECT substr(ca_zip,1,5) ca_zip
+      FROM customer_address
+      WHERE substr(ca_zip,1,5) IN (
+                          '47602','16704','35863','28577','83910','36201',
+                          '58412','48162','28055','41419','80332',
+                          '38607','77817','24891','16226','18410',
+                          '21231','59345','13918','51089','20317',
+                          '17167','54585','67881','78366','47770',
+                          '18360','51717','73108','14440','21800',
+                          '89338','45859','65501','34948','25973',
+                          '73219','25333','17291','10374','18829',
+                          '60736','82620','41351','52094','19326',
+                          '25214','54207','40936','21814','79077',
+                          '25178','75742','77454','30621','89193',
+                          '27369','41232','48567','83041','71948',
+                          '37119','68341','14073','16891','62878',
+                          '49130','19833','24286','27700','40979',
+                          '50412','81504','94835','84844','71954',
+                          '39503','57649','18434','24987','12350',
+                          '86379','27413','44529','98569','16515',
+                          '27287','24255','21094','16005','56436',
+                          '91110','68293','56455','54558','10298',
+                          '83647','32754','27052','51766','19444',
+                          '13869','45645','94791','57631','20712',
+                          '37788','41807','46507','21727','71836',
+                          '81070','50632','88086','63991','20244',
+                          '31655','51782','29818','63792','68605',
+                          '94898','36430','57025','20601','82080',
+                          '33869','22728','35834','29086','92645',
+                          '98584','98072','11652','78093','57553',
+                          '43830','71144','53565','18700','90209',
+                          '71256','38353','54364','28571','96560',
+                          '57839','56355','50679','45266','84680',
+                          '34306','34972','48530','30106','15371',
+                          '92380','84247','92292','68852','13338',
+                          '34594','82602','70073','98069','85066',
+                          '47289','11686','98862','26217','47529',
+                          '63294','51793','35926','24227','14196',
+                          '24594','32489','99060','49472','43432',
+                          '49211','14312','88137','47369','56877',
+                          '20534','81755','15794','12318','21060',
+                          '73134','41255','63073','81003','73873',
+                          '66057','51184','51195','45676','92696',
+                          '70450','90669','98338','25264','38919',
+                          '59226','58581','60298','17895','19489',
+                          '52301','80846','95464','68770','51634',
+                          '19988','18367','18421','11618','67975',
+                          '25494','41352','95430','15734','62585',
+                          '97173','33773','10425','75675','53535',
+                          '17879','41967','12197','67998','79658',
+                          '59130','72592','14851','43933','68101',
+                          '50636','25717','71286','24660','58058',
+                          '72991','95042','15543','33122','69280',
+                          '11912','59386','27642','65177','17672',
+                          '33467','64592','36335','54010','18767',
+                          '63193','42361','49254','33113','33159',
+                          '36479','59080','11855','81963','31016',
+                          '49140','29392','41836','32958','53163',
+                          '13844','73146','23952','65148','93498',
+                          '14530','46131','58454','13376','13378',
+                          '83986','12320','17193','59852','46081',
+                          '98533','52389','13086','68843','31013',
+                          '13261','60560','13443','45533','83583',
+                          '11489','58218','19753','22911','25115',
+                          '86709','27156','32669','13123','51933',
+                          '39214','41331','66943','14155','69998',
+                          '49101','70070','35076','14242','73021',
+                          '59494','15782','29752','37914','74686',
+                          '83086','34473','15751','81084','49230',
+                          '91894','60624','17819','28810','63180',
+                          '56224','39459','55233','75752','43639',
+                          '55349','86057','62361','50788','31830',
+                          '58062','18218','85761','60083','45484',
+                          '21204','90229','70041','41162','35390',
+                          '16364','39500','68908','26689','52868',
+                          '81335','40146','11340','61527','61794',
+                          '71997','30415','59004','29450','58117',
+                          '69952','33562','83833','27385','61860',
+                          '96435','48333','23065','32961','84919',
+                          '61997','99132','22815','56600','68730',
+                          '48017','95694','32919','88217','27116',
+                          '28239','58032','18884','16791','21343',
+                          '97462','18569','75660','15475')
+     intersect
+      select ca_zip
+      from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt
+            FROM customer_address, customer
+            WHERE ca_address_sk = c_current_addr_sk and
+                  c_preferred_cust_flag='Y'
+            group by ca_zip
+            having count(*) > 10)A1)A2) V1
+ where ss_store_sk = s_store_sk
+  and ss_sold_date_sk = d_date_sk
+  and d_qoy = 2 and d_year = 1998
+  and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))
+ group by s_store_name
+ order by s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query80.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query80.groovy
new file mode 100644
index 0000000000..8364c27392
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query80.groovy
@@ -0,0 +1,136 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query80") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_80 '''
+    explain shape plan
+
+
+
+
+with ssr as
+ (select  s_store_id as store_id,
+          sum(ss_ext_sales_price) as sales,
+          sum(coalesce(sr_return_amt, 0)) as returns,
+          sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit
+  from store_sales left outer join store_returns on
+         (ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number),
+     date_dim,
+     store,
+     item,
+     promotion
+ where ss_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date) 
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+       and ss_store_sk = s_store_sk
+       and ss_item_sk = i_item_sk
+       and i_current_price > 50
+       and ss_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+ group by s_store_id)
+ ,
+ csr as
+ (select  cp_catalog_page_id as catalog_page_id,
+          sum(cs_ext_sales_price) as sales,
+          sum(coalesce(cr_return_amount, 0)) as returns,
+          sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit
+  from catalog_sales left outer join catalog_returns on
+         (cs_item_sk = cr_item_sk and cs_order_number = cr_order_number),
+     date_dim,
+     catalog_page,
+     item,
+     promotion
+ where cs_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date)
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+        and cs_catalog_page_sk = cp_catalog_page_sk
+       and cs_item_sk = i_item_sk
+       and i_current_price > 50
+       and cs_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select  web_site_id,
+          sum(ws_ext_sales_price) as sales,
+          sum(coalesce(wr_return_amt, 0)) as returns,
+          sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit
+  from web_sales left outer join web_returns on
+         (ws_item_sk = wr_item_sk and ws_order_number = wr_order_number),
+     date_dim,
+     web_site,
+     item,
+     promotion
+ where ws_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date)
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+        and ws_web_site_sk = web_site_sk
+       and ws_item_sk = i_item_sk
+       and i_current_price > 50
+       and ws_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+group by web_site_id)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , concat('store', store_id) as id
+        , sales
+        , returns
+        , profit
+ from   ssr
+ union all
+ select 'catalog channel' as channel
+        , concat('catalog_page', catalog_page_id) as id
+        , sales
+        , returns
+        , profit
+ from  csr
+ union all
+ select 'web channel' as channel
+        , concat('web_site', web_site_id) as id
+        , sales
+        , returns
+        , profit
+ from   wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query81.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query81.groovy
new file mode 100644
index 0000000000..6852b31a6b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query81.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query81") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_81 '''
+    explain shape plan
+
+
+
+
+with customer_total_return as
+ (select cr_returning_customer_sk as ctr_customer_sk
+        ,ca_state as ctr_state, 
+ 	sum(cr_return_amt_inc_tax) as ctr_total_return
+ from catalog_returns
+     ,date_dim
+     ,customer_address
+ where cr_returned_date_sk = d_date_sk 
+   and d_year =2002
+   and cr_returning_addr_sk = ca_address_sk 
+ group by cr_returning_customer_sk
+         ,ca_state )
+  select  c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+                   ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+                  ,ca_location_type,ctr_total_return
+ from customer_total_return ctr1
+     ,customer_address
+     ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ 			  from customer_total_return ctr2 
+                  	  where ctr1.ctr_state = ctr2.ctr_state)
+       and ca_address_sk = c_current_addr_sk
+       and ca_state = 'CA'
+       and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+                   ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+                  ,ca_location_type,ctr_total_return
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query82.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query82.groovy
new file mode 100644
index 0000000000..9ead5359b8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query82.groovy
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query82") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_82 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,i_current_price
+ from item, inventory, date_dim, store_sales
+ where i_current_price between 17 and 17+30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('1999-07-09' as date) and (cast('1999-07-09' as date) +  interval 60 day)
+ and i_manufact_id in (639,169,138,339)
+ and inv_quantity_on_hand between 100 and 500
+ and ss_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query83.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query83.groovy
new file mode 100644
index 0000000000..9ccbacafe1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query83.groovy
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query83") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_83 '''
+    explain shape plan
+
+
+
+
+with sr_items as
+ (select i_item_id item_id,
+        sum(sr_return_quantity) sr_item_qty
+ from store_returns,
+      item,
+      date_dim
+ where sr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+	  where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   sr_returned_date_sk   = d_date_sk
+ group by i_item_id),
+ cr_items as
+ (select i_item_id item_id,
+        sum(cr_return_quantity) cr_item_qty
+ from catalog_returns,
+      item,
+      date_dim
+ where cr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+	  where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   cr_returned_date_sk   = d_date_sk
+ group by i_item_id),
+ wr_items as
+ (select i_item_id item_id,
+        sum(wr_return_quantity) wr_item_qty
+ from web_returns,
+      item,
+      date_dim
+ where wr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+		where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   wr_returned_date_sk   = d_date_sk
+ group by i_item_id)
+  select  sr_items.item_id
+       ,sr_item_qty
+       ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev
+       ,cr_item_qty
+       ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev
+       ,wr_item_qty
+       ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev
+       ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average
+ from sr_items
+     ,cr_items
+     ,wr_items
+ where sr_items.item_id=cr_items.item_id
+   and sr_items.item_id=wr_items.item_id 
+ order by sr_items.item_id
+         ,sr_item_qty
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query84.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query84.groovy
new file mode 100644
index 0000000000..10fa88d8c6
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query84.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query84") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_84 '''
+    explain shape plan
+
+
+
+
+select  c_customer_id as customer_id
+       , concat(concat(coalesce(c_last_name,''), ','), coalesce(c_first_name,'')) as customername
+ from customer
+     ,customer_address
+     ,customer_demographics
+     ,household_demographics
+     ,income_band
+     ,store_returns
+ where ca_city	        =  'Oakwood'
+   and c_current_addr_sk = ca_address_sk
+   and ib_lower_bound   >=  5806
+   and ib_upper_bound   <=  5806 + 50000
+   and ib_income_band_sk = hd_income_band_sk
+   and cd_demo_sk = c_current_cdemo_sk
+   and hd_demo_sk = c_current_hdemo_sk
+   and sr_cdemo_sk = cd_demo_sk
+ order by c_customer_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query85.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query85.groovy
new file mode 100644
index 0000000000..d65815456c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query85.groovy
@@ -0,0 +1,124 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query85") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_85 '''
+    explain shape plan
+
+
+
+
+select  substr(r_reason_desc,1,20)
+       ,avg(ws_quantity)
+       ,avg(wr_refunded_cash)
+       ,avg(wr_fee)
+ from web_sales, web_returns, web_page, customer_demographics cd1,
+      customer_demographics cd2, customer_address, date_dim, reason 
+ where ws_web_page_sk = wp_web_page_sk
+   and ws_item_sk = wr_item_sk
+   and ws_order_number = wr_order_number
+   and ws_sold_date_sk = d_date_sk and d_year = 2000
+   and cd1.cd_demo_sk = wr_refunded_cdemo_sk 
+   and cd2.cd_demo_sk = wr_returning_cdemo_sk
+   and ca_address_sk = wr_refunded_addr_sk
+   and r_reason_sk = wr_reason_sk
+   and
+   (
+    (
+     cd1.cd_marital_status = 'M'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = '4 yr Degree'
+     and 
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 100.00 and 150.00
+    )
+   or
+    (
+     cd1.cd_marital_status = 'S'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = 'Secondary' 
+     and
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 50.00 and 100.00
+    )
+   or
+    (
+     cd1.cd_marital_status = 'W'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = 'Advanced Degree'
+     and
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 150.00 and 200.00
+    )
+   )
+   and
+   (
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('FL', 'TX', 'DE')
+     and ws_net_profit between 100 and 200  
+    )
+    or
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('IN', 'ND', 'ID')
+     and ws_net_profit between 150 and 300  
+    )
+    or
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('MT', 'IL', 'OH')
+     and ws_net_profit between 50 and 250  
+    )
+   )
+group by r_reason_desc
+order by substr(r_reason_desc,1,20)
+        ,avg(ws_quantity)
+        ,avg(wr_refunded_cash)
+        ,avg(wr_fee)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query86.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query86.groovy
new file mode 100644
index 0000000000..eab2c3635f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query86.groovy
@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query86") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_86 '''
+    explain shape plan
+
+
+
+
+select   
+    sum(ws_net_paid) as total_sum
+   ,i_category
+   ,i_class
+   ,grouping(i_category)+grouping(i_class) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(i_category)+grouping(i_class),
+ 	case when grouping(i_class) = 0 then i_category end 
+ 	order by sum(ws_net_paid) desc) as rank_within_parent
+ from
+    web_sales
+   ,date_dim       d1
+   ,item
+ where
+    d1.d_month_seq between 1224 and 1224+11
+ and d1.d_date_sk = ws_sold_date_sk
+ and i_item_sk  = ws_item_sk
+ group by rollup(i_category,i_class)
+ order by
+   lochierarchy desc,
+   case when lochierarchy = 0 then i_category end,
+   rank_within_parent
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query87.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query87.groovy
new file mode 100644
index 0000000000..4331712f3a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query87.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query87") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_87 '''
+    explain shape plan
+
+
+
+
+select count(*) 
+from ((select distinct c_last_name, c_first_name, d_date
+       from store_sales, date_dim, customer
+       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+         and store_sales.ss_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+       except
+      (select distinct c_last_name, c_first_name, d_date
+       from catalog_sales, date_dim, customer
+       where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
+         and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+       except
+      (select distinct c_last_name, c_first_name, d_date
+       from web_sales, date_dim, customer
+       where web_sales.ws_sold_date_sk = date_dim.d_date_sk
+         and web_sales.ws_bill_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+) cool_cust
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query88.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query88.groovy
new file mode 100644
index 0000000000..a560ed77f1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query88.groovy
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query88") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_88 '''
+    explain shape plan
+
+
+
+
+select  *
+from
+ (select count(*) h8_30_to_9
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk   
+     and ss_hdemo_sk = household_demographics.hd_demo_sk 
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 8
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) 
+     and store.s_store_name = 'ese') s1,
+ (select count(*) h9_to_9_30 
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk 
+     and time_dim.t_hour = 9 
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s2,
+ (select count(*) h9_30_to_10 
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 9
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s3,
+ (select count(*) h10_to_10_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 10 
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s4,
+ (select count(*) h10_30_to_11
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 10 
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s5,
+ (select count(*) h11_to_11_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk 
+     and time_dim.t_hour = 11
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s6,
+ (select count(*) h11_30_to_12
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 11
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s7,
+ (select count(*) h12_to_12_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 12
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s8
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query89.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query89.groovy
new file mode 100644
index 0000000000..d07b1ecdb2
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query89.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query89") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_89 '''
+    explain shape plan
+
+
+
+
+select  *
+from(
+select i_category, i_class, i_brand,
+       s_store_name, s_company_name,
+       d_moy,
+       sum(ss_sales_price) sum_sales,
+       avg(sum(ss_sales_price)) over
+         (partition by i_category, i_brand, s_store_name, s_company_name)
+         avg_monthly_sales
+from item, store_sales, date_dim, store
+where ss_item_sk = i_item_sk and
+      ss_sold_date_sk = d_date_sk and
+      ss_store_sk = s_store_sk and
+      d_year in (1999) and
+        ((i_category in ('Jewelry','Shoes','Electronics') and
+          i_class in ('semi-precious','athletic','portable')
+         )
+      or (i_category in ('Men','Music','Women') and
+          i_class in ('accessories','rock','maternity') 
+        ))
+group by i_category, i_class, i_brand,
+         s_store_name, s_company_name, d_moy) tmp1
+where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1
+order by sum_sales - avg_monthly_sales, s_store_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query9.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query9.groovy
new file mode 100644
index 0000000000..1a6213df0e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query9.groovy
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query9") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_9 '''
+    explain shape plan
+
+
+
+
+select case when (select count(*) 
+                  from store_sales 
+                  where ss_quantity between 1 and 20) > 2972190
+            then (select avg(ss_ext_sales_price) 
+                  from store_sales 
+                  where ss_quantity between 1 and 20) 
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 1 and 20) end bucket1 ,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 21 and 40) > 4505785
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 21 and 40) 
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 21 and 40) end bucket2,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 41 and 60) > 1575726
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 41 and 60)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 41 and 60) end bucket3,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 61 and 80) > 3188917
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 61 and 80)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 61 and 80) end bucket4,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 81 and 100) > 3525216
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 81 and 100)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 81 and 100) end bucket5
+from reason
+where r_reason_sk = 1
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query90.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query90.groovy
new file mode 100644
index 0000000000..eaec05f3b0
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query90.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query90") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_90 '''
+    explain shape plan
+
+
+
+
+select  cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
+ from ( select count(*) amc
+       from web_sales, household_demographics , time_dim, web_page
+       where ws_sold_time_sk = time_dim.t_time_sk
+         and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+         and ws_web_page_sk = web_page.wp_web_page_sk
+         and time_dim.t_hour between 10 and 10+1
+         and household_demographics.hd_dep_count = 2
+         and web_page.wp_char_count between 5000 and 5200) at,
+      ( select count(*) pmc
+       from web_sales, household_demographics , time_dim, web_page
+       where ws_sold_time_sk = time_dim.t_time_sk
+         and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+         and ws_web_page_sk = web_page.wp_web_page_sk
+         and time_dim.t_hour between 16 and 16+1
+         and household_demographics.hd_dep_count = 2
+         and web_page.wp_char_count between 5000 and 5200) pt
+ order by am_pm_ratio
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query91.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query91.groovy
new file mode 100644
index 0000000000..7808aecb4b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query91.groovy
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query91") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_91 '''
+    explain shape plan
+
+
+
+
+select  
+        cc_call_center_id Call_Center,
+        cc_name Call_Center_Name,
+        cc_manager Manager,
+        sum(cr_net_loss) Returns_Loss
+from
+        call_center,
+        catalog_returns,
+        date_dim,
+        customer,
+        customer_address,
+        customer_demographics,
+        household_demographics
+where
+        cr_call_center_sk       = cc_call_center_sk
+and     cr_returned_date_sk     = d_date_sk
+and     cr_returning_customer_sk= c_customer_sk
+and     cd_demo_sk              = c_current_cdemo_sk
+and     hd_demo_sk              = c_current_hdemo_sk
+and     ca_address_sk           = c_current_addr_sk
+and     d_year                  = 2001 
+and     d_moy                   = 11
+and     ( (cd_marital_status       = 'M' and cd_education_status     = 'Unknown')
+        or(cd_marital_status       = 'W' and cd_education_status     = 'Advanced Degree'))
+and     hd_buy_potential like '1001-5000%'
+and     ca_gmt_offset           = -6
+group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
+order by sum(cr_net_loss) desc;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query92.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query92.groovy
new file mode 100644
index 0000000000..5d8a4eccb1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query92.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query92") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_92 '''
+    explain shape plan
+
+
+
+
+select  
+   sum(ws_ext_discount_amt)  as "Excess Discount Amount" 
+from 
+    web_sales 
+   ,item 
+   ,date_dim
+where
+i_manufact_id = 320
+and i_item_sk = ws_item_sk 
+and d_date between '2002-02-26' and 
+        (cast('2002-02-26' as date) + interval 90 day)
+and d_date_sk = ws_sold_date_sk 
+and ws_ext_discount_amt  
+     > ( 
+         SELECT 
+            1.3 * avg(ws_ext_discount_amt) 
+         FROM 
+            web_sales 
+           ,date_dim
+         WHERE 
+              ws_item_sk = i_item_sk 
+          and d_date between '2002-02-26' and
+                             (cast('2002-02-26' as date) + interval 90 day)
+          and d_date_sk = ws_sold_date_sk 
+      ) 
+order by sum(ws_ext_discount_amt)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query93.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query93.groovy
new file mode 100644
index 0000000000..1f102c46bd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query93.groovy
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query93") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_93 '''
+    explain shape plan
+
+
+
+
+select  ss_customer_sk
+            ,sum(act_sales) sumsales
+      from (select ss_item_sk
+                  ,ss_ticket_number
+                  ,ss_customer_sk
+                  ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
+                                                            else (ss_quantity*ss_sales_price) end act_sales
+            from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
+                                                               and sr_ticket_number = ss_ticket_number)
+                ,reason
+            where sr_reason_sk = r_reason_sk
+              and r_reason_desc = 'duplicate purchase') t
+      group by ss_customer_sk
+      order by sumsales, ss_customer_sk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query94.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query94.groovy
new file mode 100644
index 0000000000..927d225cb9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query94.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query94") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_94 '''
+    explain shape plan
+
+
+
+
+select  
+   count(distinct ws_order_number) as "order count"
+  ,sum(ws_ext_ship_cost) as "total shipping cost"
+  ,sum(ws_net_profit) as "total net profit"
+from
+   web_sales ws1
+  ,date_dim
+  ,customer_address
+  ,web_site
+where
+    d_date between '2000-2-01' and 
+           (cast('2000-2-01' as date) + interval 60 day)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'OK'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and exists (select *
+            from web_sales ws2
+            where ws1.ws_order_number = ws2.ws_order_number
+              and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+and not exists(select *
+               from web_returns wr1
+               where ws1.ws_order_number = wr1.wr_order_number)
+order by count(distinct ws_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query95.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query95.groovy
new file mode 100644
index 0000000000..00cb9d60e4
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query95.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query95") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_95 '''
+    explain shape plan
+
+
+with ws_wh as
+(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
+ from web_sales ws1,web_sales ws2
+ where ws1.ws_order_number = ws2.ws_order_number
+   and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+ select  
+   count(distinct ws_order_number) as "order count"
+  ,sum(ws_ext_ship_cost) as "total shipping cost"
+  ,sum(ws_net_profit) as "total net profit"
+from
+   web_sales ws1
+  ,date_dim
+  ,customer_address
+  ,web_site
+where
+    d_date between '1999-2-01' and 
+           (cast('1999-2-01' as date) + interval 60 day)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'NC'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and ws1.ws_order_number in (select ws_order_number
+                            from ws_wh)
+and ws1.ws_order_number in (select wr_order_number
+                            from web_returns,ws_wh
+                            where wr_order_number = ws_wh.ws_order_number)
+order by count(distinct ws_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query96.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query96.groovy
new file mode 100644
index 0000000000..23df0cd352
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query96.groovy
@@ -0,0 +1,56 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query96") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_96 '''
+    explain shape plan
+
+
+
+
+select  count(*) 
+from store_sales
+    ,household_demographics 
+    ,time_dim, store
+where ss_sold_time_sk = time_dim.t_time_sk   
+    and ss_hdemo_sk = household_demographics.hd_demo_sk 
+    and ss_store_sk = s_store_sk
+    and time_dim.t_hour = 8
+    and time_dim.t_minute >= 30
+    and household_demographics.hd_dep_count = 3
+    and store.s_store_name = 'ese'
+order by count(*)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query97.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query97.groovy
new file mode 100644
index 0000000000..0aca247d0d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query97.groovy
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query97") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_97 '''
+    explain shape plan
+
+
+
+
+with ssci as (
+select ss_customer_sk customer_sk
+      ,ss_item_sk item_sk
+from store_sales,date_dim
+where ss_sold_date_sk = d_date_sk
+  and d_month_seq between 1214 and 1214 + 11
+group by ss_customer_sk
+        ,ss_item_sk),
+csci as(
+ select cs_bill_customer_sk customer_sk
+      ,cs_item_sk item_sk
+from catalog_sales,date_dim
+where cs_sold_date_sk = d_date_sk
+  and d_month_seq between 1214 and 1214 + 11
+group by cs_bill_customer_sk
+        ,cs_item_sk)
+ select  sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only
+      ,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only
+      ,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog
+from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk
+                               and ssci.item_sk = csci.item_sk)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query98.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query98.groovy
new file mode 100644
index 0000000000..b80e74bc1d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query98.groovy
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query98") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_98 '''
+    explain shape plan
+
+
+
+
+select i_item_id
+      ,i_item_desc 
+      ,i_category 
+      ,i_class 
+      ,i_current_price
+      ,sum(ss_ext_sales_price) as itemrevenue 
+      ,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over
+          (partition by i_class) as revenueratio
+from	
+	store_sales
+    	,item 
+    	,date_dim
+where 
+	ss_item_sk = i_item_sk 
+  	and i_category in ('Sports', 'Music', 'Shoes')
+  	and ss_sold_date_sk = d_date_sk
+	and d_date between cast('2002-05-20' as date) 
+				and (cast('2002-05-20' as date) + interval 30 day)
+group by 
+	i_item_id
+        ,i_item_desc 
+        ,i_category
+        ,i_class
+        ,i_current_price
+order by 
+	i_category
+        ,i_class
+        ,i_item_id
+        ,i_item_desc
+        ,revenueratio;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query99.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query99.groovy
new file mode 100644
index 0000000000..5e745966f7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/no_stats_shape/query99.groovy
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query99") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=false'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=false'
+sql 'set enable_stats=false'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_99 '''
+    explain shape plan
+
+
+
+
+select  
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,cc_name
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and 
+                 (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and 
+                 (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
+                 (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   catalog_sales
+  ,warehouse
+  ,ship_mode
+  ,call_center
+  ,date_dim
+where
+    d_month_seq between 1224 and 1224 + 11
+and cs_ship_date_sk   = d_date_sk
+and cs_warehouse_sk   = w_warehouse_sk
+and cs_ship_mode_sk   = sm_ship_mode_sk
+and cs_call_center_sk = cc_call_center_sk
+group by
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,cc_name
+order by substr(w_warehouse_name,1,20)
+        ,sm_type
+        ,cc_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query1.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query1.groovy
new file mode 100644
index 0000000000..5c41d19e4d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query1.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query1") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+    qt_ds_shape_1 '''
+    explain shape plan
+with customer_total_return as
+(select sr_customer_sk as ctr_customer_sk
+,sr_store_sk as ctr_store_sk
+,sum(SR_FEE) as ctr_total_return
+from store_returns
+,date_dim
+where sr_returned_date_sk = d_date_sk
+and d_year =2000
+group by sr_customer_sk
+,sr_store_sk)
+ select  c_customer_id
+from customer_total_return ctr1
+,store
+,customer
+where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+from customer_total_return ctr2
+where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
+and s_store_sk = ctr1.ctr_store_sk
+and s_state = 'SD'
+and ctr1.ctr_customer_sk = c_customer_sk
+order by c_customer_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query10.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query10.groovy
new file mode 100644
index 0000000000..ed3e03af29
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query10.groovy
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query10") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_10 '''
+    explain shape plan
+
+
+
+
+select  
+  cd_gender,
+  cd_marital_status,
+  cd_education_status,
+  count(*) cnt1,
+  cd_purchase_estimate,
+  count(*) cnt2,
+  cd_credit_rating,
+  count(*) cnt3,
+  cd_dep_count,
+  count(*) cnt4,
+  cd_dep_employed_count,
+  count(*) cnt5,
+  cd_dep_college_count,
+  count(*) cnt6
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  ca_county in ('Storey County','Marquette County','Warren County','Cochran County','Kandiyohi County') and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2001 and
+                d_moy between 1 and 1+3) and
+   (exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_moy between 1 ANd 1+3) or 
+    exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_moy between 1 and 1+3))
+ group by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ order by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query11.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query11.groovy
new file mode 100644
index 0000000000..e5b171c5d9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query11.groovy
@@ -0,0 +1,120 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query11") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_11 '''
+    explain shape plan
+
+
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag 
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year 
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag 
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+         )
+  select  
+                  t_s_secyear.customer_id
+                 ,t_s_secyear.customer_first_name
+                 ,t_s_secyear.customer_last_name
+                 ,t_s_secyear.customer_birth_country
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+         and t_s_firstyear.customer_id = t_w_secyear.customer_id
+         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+         and t_s_firstyear.sale_type = 's'
+         and t_w_firstyear.sale_type = 'w'
+         and t_s_secyear.sale_type = 's'
+         and t_w_secyear.sale_type = 'w'
+         and t_s_firstyear.dyear = 2001
+         and t_s_secyear.dyear = 2001+1
+         and t_w_firstyear.dyear = 2001
+         and t_w_secyear.dyear = 2001+1
+         and t_s_firstyear.year_total > 0
+         and t_w_firstyear.year_total > 0
+         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end
+             > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
+ order by t_s_secyear.customer_id
+         ,t_s_secyear.customer_first_name
+         ,t_s_secyear.customer_last_name
+         ,t_s_secyear.customer_birth_country
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query12.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query12.groovy
new file mode 100644
index 0000000000..782fa34d0f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query12.groovy
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query12") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_12 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+      ,i_item_desc 
+      ,i_category 
+      ,i_class 
+      ,i_current_price
+      ,sum(ws_ext_sales_price) as itemrevenue 
+      ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
+          (partition by i_class) as revenueratio
+from	
+	web_sales
+    	,item 
+    	,date_dim
+where 
+	ws_item_sk = i_item_sk 
+  	and i_category in ('Books', 'Sports', 'Men')
+  	and ws_sold_date_sk = d_date_sk
+	and d_date between cast('1998-04-06' as date) 
+				and (cast('1998-04-06' as date) + interval 30 day)
+group by 
+	i_item_id
+        ,i_item_desc 
+        ,i_category
+        ,i_class
+        ,i_current_price
+order by 
+	i_category
+        ,i_class
+        ,i_item_id
+        ,i_item_desc
+        ,revenueratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query13.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query13.groovy
new file mode 100644
index 0000000000..d8fa04906e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query13.groovy
@@ -0,0 +1,89 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query13") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_13 '''
+    explain shape plan
+
+
+select avg(ss_quantity)
+       ,avg(ss_ext_sales_price)
+       ,avg(ss_ext_wholesale_cost)
+       ,sum(ss_ext_wholesale_cost)
+ from store_sales
+     ,store
+     ,customer_demographics
+     ,household_demographics
+     ,customer_address
+     ,date_dim
+ where s_store_sk = ss_store_sk
+ and  ss_sold_date_sk = d_date_sk and d_year = 2001
+ and((ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'D'
+  and cd_education_status = 'Unknown'
+  and ss_sales_price between 100.00 and 150.00
+  and hd_dep_count = 3   
+     )or
+     (ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'S'
+  and cd_education_status = 'College'
+  and ss_sales_price between 50.00 and 100.00   
+  and hd_dep_count = 1
+     ) or 
+     (ss_hdemo_sk=hd_demo_sk
+  and cd_demo_sk = ss_cdemo_sk
+  and cd_marital_status = 'M'
+  and cd_education_status = '4 yr Degree'
+  and ss_sales_price between 150.00 and 200.00 
+  and hd_dep_count = 1  
+     ))
+ and((ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('SD', 'KS', 'MI')
+  and ss_net_profit between 100 and 200  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('MO', 'ND', 'CO')
+  and ss_net_profit between 150 and 300  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('NH', 'OH', 'TX')
+  and ss_net_profit between 50 and 250  
+     ))
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query14.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query14.groovy
new file mode 100644
index 0000000000..b6894317a1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query14.groovy
@@ -0,0 +1,141 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query14") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_14 '''
+    explain shape plan
+
+
+with  cross_items as
+ (select i_item_sk ss_item_sk
+ from item,
+ (select iss.i_brand_id brand_id
+     ,iss.i_class_id class_id
+     ,iss.i_category_id category_id
+ from store_sales
+     ,item iss
+     ,date_dim d1
+ where ss_item_sk = iss.i_item_sk
+   and ss_sold_date_sk = d1.d_date_sk
+   and d1.d_year between 2000 AND 2000 + 2
+ intersect 
+ select ics.i_brand_id
+     ,ics.i_class_id
+     ,ics.i_category_id
+ from catalog_sales
+     ,item ics
+     ,date_dim d2
+ where cs_item_sk = ics.i_item_sk
+   and cs_sold_date_sk = d2.d_date_sk
+   and d2.d_year between 2000 AND 2000 + 2
+ intersect
+ select iws.i_brand_id
+     ,iws.i_class_id
+     ,iws.i_category_id
+ from web_sales
+     ,item iws
+     ,date_dim d3
+ where ws_item_sk = iws.i_item_sk
+   and ws_sold_date_sk = d3.d_date_sk
+   and d3.d_year between 2000 AND 2000 + 2)
+ t where i_brand_id = brand_id
+      and i_class_id = class_id
+      and i_category_id = category_id
+),
+ avg_sales as
+ (select avg(quantity*list_price) average_sales
+  from (select ss_quantity quantity
+             ,ss_list_price list_price
+       from store_sales
+           ,date_dim
+       where ss_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2
+       union all 
+       select cs_quantity quantity 
+             ,cs_list_price list_price
+       from catalog_sales
+           ,date_dim
+       where cs_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2 
+       union all
+       select ws_quantity quantity
+             ,ws_list_price list_price
+       from web_sales
+           ,date_dim
+       where ws_sold_date_sk = d_date_sk
+         and d_year between 2000 and 2000 + 2) x)
+  select  channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
+ from(
+       select 'store' channel, i_brand_id,i_class_id
+             ,i_category_id,sum(ss_quantity*ss_list_price) sales
+             , count(*) number_sales
+       from store_sales
+           ,item
+           ,date_dim
+       where ss_item_sk in (select ss_item_sk from cross_items)
+         and ss_item_sk = i_item_sk
+         and ss_sold_date_sk = d_date_sk
+         and d_year = 2000+2 
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
+       union all
+       select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
+       from catalog_sales
+           ,item
+           ,date_dim
+       where cs_item_sk in (select ss_item_sk from cross_items)
+         and cs_item_sk = i_item_sk
+         and cs_sold_date_sk = d_date_sk
+         and d_year = 2000+2 
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
+       union all
+       select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
+       from web_sales
+           ,item
+           ,date_dim
+       where ws_item_sk in (select ss_item_sk from cross_items)
+         and ws_item_sk = i_item_sk
+         and ws_sold_date_sk = d_date_sk
+         and d_year = 2000+2
+         and d_moy = 11
+       group by i_brand_id,i_class_id,i_category_id
+       having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
+ ) y
+ group by rollup (channel, i_brand_id,i_class_id,i_category_id)
+ order by channel,i_brand_id,i_class_id,i_category_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query15.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query15.groovy
new file mode 100644
index 0000000000..be88fd7ab2
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query15.groovy
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query15") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_15 '''
+    explain shape plan
+
+
+
+select  ca_zip
+       ,sum(cs_sales_price)
+ from catalog_sales
+     ,customer
+     ,customer_address
+     ,date_dim
+ where cs_bill_customer_sk = c_customer_sk
+ 	and c_current_addr_sk = ca_address_sk 
+ 	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
+                                   '85392', '85460', '80348', '81792')
+ 	      or ca_state in ('CA','WA','GA')
+ 	      or cs_sales_price > 500)
+ 	and cs_sold_date_sk = d_date_sk
+ 	and d_qoy = 1 and d_year = 2001
+ group by ca_zip
+ order by ca_zip
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query16.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query16.groovy
new file mode 100644
index 0000000000..371523ebf1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query16.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query16") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_16 '''
+    explain shape plan
+
+
+
+
+select  
+   count(distinct cs_order_number) as "order count"
+  ,sum(cs_ext_ship_cost) as "total shipping cost"
+  ,sum(cs_net_profit) as "total net profit"
+from
+   catalog_sales cs1
+  ,date_dim
+  ,customer_address
+  ,call_center
+where
+    d_date between '2002-4-01' and 
+           (cast('2002-4-01' as date) + interval 60 day)
+and cs1.cs_ship_date_sk = d_date_sk
+and cs1.cs_ship_addr_sk = ca_address_sk
+and ca_state = 'WV'
+and cs1.cs_call_center_sk = cc_call_center_sk
+and cc_county in ('Ziebach County','Luce County','Richland County','Daviess County',
+                  'Barrow County'
+)
+and exists (select *
+            from catalog_sales cs2
+            where cs1.cs_order_number = cs2.cs_order_number
+              and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
+and not exists(select *
+               from catalog_returns cr1
+               where cs1.cs_order_number = cr1.cr_order_number)
+order by count(distinct cs_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query17.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query17.groovy
new file mode 100644
index 0000000000..740c633a7f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query17.groovy
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query17") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_17 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,s_state
+       ,count(ss_quantity) as store_sales_quantitycount
+       ,avg(ss_quantity) as store_sales_quantityave
+       ,stddev_samp(ss_quantity) as store_sales_quantitystdev
+       ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
+       ,count(sr_return_quantity) as store_returns_quantitycount
+       ,avg(sr_return_quantity) as store_returns_quantityave
+       ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
+       ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
+       ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
+       ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
+       ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
+ from store_sales
+     ,store_returns
+     ,catalog_sales
+     ,date_dim d1
+     ,date_dim d2
+     ,date_dim d3
+     ,store
+     ,item
+ where d1.d_quarter_name = '2001Q1'
+   and d1.d_date_sk = ss_sold_date_sk
+   and i_item_sk = ss_item_sk
+   and s_store_sk = ss_store_sk
+   and ss_customer_sk = sr_customer_sk
+   and ss_item_sk = sr_item_sk
+   and ss_ticket_number = sr_ticket_number
+   and sr_returned_date_sk = d2.d_date_sk
+   and d2.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
+   and sr_customer_sk = cs_bill_customer_sk
+   and sr_item_sk = cs_item_sk
+   and cs_sold_date_sk = d3.d_date_sk
+   and d3.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
+ group by i_item_id
+         ,i_item_desc
+         ,s_state
+ order by i_item_id
+         ,i_item_desc
+         ,s_state
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query18.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query18.groovy
new file mode 100644
index 0000000000..efcd81bc34
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query18.groovy
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query18") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_18 '''
+    explain shape plan
+
+
+
+
+select  i_item_id,
+        ca_country,
+        ca_state, 
+        ca_county,
+        avg( cast(cs_quantity as decimal(12,2))) agg1,
+        avg( cast(cs_list_price as decimal(12,2))) agg2,
+        avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
+        avg( cast(cs_sales_price as decimal(12,2))) agg4,
+        avg( cast(cs_net_profit as decimal(12,2))) agg5,
+        avg( cast(c_birth_year as decimal(12,2))) agg6,
+        avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
+ from catalog_sales, customer_demographics cd1, 
+      customer_demographics cd2, customer, customer_address, date_dim, item
+ where cs_sold_date_sk = d_date_sk and
+       cs_item_sk = i_item_sk and
+       cs_bill_cdemo_sk = cd1.cd_demo_sk and
+       cs_bill_customer_sk = c_customer_sk and
+       cd1.cd_gender = 'F' and 
+       cd1.cd_education_status = 'Advanced Degree' and
+       c_current_cdemo_sk = cd2.cd_demo_sk and
+       c_current_addr_sk = ca_address_sk and
+       c_birth_month in (10,7,8,4,1,2) and
+       d_year = 1998 and
+       ca_state in ('WA','GA','NC'
+                   ,'ME','WY','OK','IN')
+ group by rollup (i_item_id, ca_country, ca_state, ca_county)
+ order by ca_country,
+        ca_state, 
+        ca_county,
+	i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query19.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query19.groovy
new file mode 100644
index 0000000000..97dba8b02c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query19.groovy
@@ -0,0 +1,64 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query19") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_19 '''
+    explain shape plan
+
+
+
+
+select  i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
+ 	sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item,customer,customer_address,store
+ where d_date_sk = ss_sold_date_sk
+   and ss_item_sk = i_item_sk
+   and i_manager_id=2
+   and d_moy=12
+   and d_year=1999
+   and ss_customer_sk = c_customer_sk 
+   and c_current_addr_sk = ca_address_sk
+   and substr(ca_zip,1,5) <> substr(s_zip,1,5) 
+   and ss_store_sk = s_store_sk 
+ group by i_brand
+      ,i_brand_id
+      ,i_manufact_id
+      ,i_manufact
+ order by ext_price desc
+         ,i_brand
+         ,i_brand_id
+         ,i_manufact_id
+         ,i_manufact
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query2.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query2.groovy
new file mode 100644
index 0000000000..d06a67f674
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query2.groovy
@@ -0,0 +1,100 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query2") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+
+    qt_ds_shape_2 '''
+    explain shape plan
+
+
+
+
+with wscs as
+ (select sold_date_sk
+        ,sales_price
+  from (select ws_sold_date_sk sold_date_sk
+              ,ws_ext_sales_price sales_price
+        from web_sales 
+        union all
+        select cs_sold_date_sk sold_date_sk
+              ,cs_ext_sales_price sales_price
+        from catalog_sales) t),
+ wswscs as 
+ (select d_week_seq,
+        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
+ from wscs
+     ,date_dim
+ where d_date_sk = sold_date_sk
+ group by d_week_seq)
+ select d_week_seq1
+       ,round(sun_sales1/sun_sales2,2)
+       ,round(mon_sales1/mon_sales2,2)
+       ,round(tue_sales1/tue_sales2,2)
+       ,round(wed_sales1/wed_sales2,2)
+       ,round(thu_sales1/thu_sales2,2)
+       ,round(fri_sales1/fri_sales2,2)
+       ,round(sat_sales1/sat_sales2,2)
+ from
+ (select wswscs.d_week_seq d_week_seq1
+        ,sun_sales sun_sales1
+        ,mon_sales mon_sales1
+        ,tue_sales tue_sales1
+        ,wed_sales wed_sales1
+        ,thu_sales thu_sales1
+        ,fri_sales fri_sales1
+        ,sat_sales sat_sales1
+  from wswscs,date_dim 
+  where date_dim.d_week_seq = wswscs.d_week_seq and
+        d_year = 1998) y,
+ (select wswscs.d_week_seq d_week_seq2
+        ,sun_sales sun_sales2
+        ,mon_sales mon_sales2
+        ,tue_sales tue_sales2
+        ,wed_sales wed_sales2
+        ,thu_sales thu_sales2
+        ,fri_sales fri_sales2
+        ,sat_sales sat_sales2
+  from wswscs
+      ,date_dim 
+  where date_dim.d_week_seq = wswscs.d_week_seq and
+        d_year = 1998+1) z
+ where d_week_seq1=d_week_seq2-53
+ order by d_week_seq1;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query20.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query20.groovy
new file mode 100644
index 0000000000..cfda0f1d08
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query20.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query20") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_20 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc 
+       ,i_category 
+       ,i_class 
+       ,i_current_price
+       ,sum(cs_ext_sales_price) as itemrevenue 
+       ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
+           (partition by i_class) as revenueratio
+ from	catalog_sales
+     ,item 
+     ,date_dim
+ where cs_item_sk = i_item_sk 
+   and i_category in ('Shoes', 'Books', 'Women')
+   and cs_sold_date_sk = d_date_sk
+ and d_date between cast('2002-01-26' as date) 
+ 				and (cast('2002-01-26' as date) + interval 30 day)
+ group by i_item_id
+         ,i_item_desc 
+         ,i_category
+         ,i_class
+         ,i_current_price
+ order by i_category
+         ,i_class
+         ,i_item_id
+         ,i_item_desc
+         ,revenueratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query21.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query21.groovy
new file mode 100644
index 0000000000..0aa8ecf9d6
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query21.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query21") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_21 '''
+    explain shape plan
+
+
+
+
+select  *
+ from(select w_warehouse_name
+            ,i_item_id
+            ,sum(case when (cast(d_date as date) < cast ('2002-02-27' as date))
+	                then inv_quantity_on_hand 
+                      else 0 end) as inv_before
+            ,sum(case when (cast(d_date as date) >= cast ('2002-02-27' as date))
+                      then inv_quantity_on_hand 
+                      else 0 end) as inv_after
+   from inventory
+       ,warehouse
+       ,item
+       ,date_dim
+   where i_current_price between 0.99 and 1.49
+     and i_item_sk          = inv_item_sk
+     and inv_warehouse_sk   = w_warehouse_sk
+     and inv_date_sk    = d_date_sk
+     and d_date between (cast ('2002-02-27' as date) - interval 30 day)
+                    and (cast ('2002-02-27' as date) + interval 30 day)
+   group by w_warehouse_name, i_item_id) x
+ where (case when inv_before > 0 
+             then inv_after / inv_before 
+             else null
+             end) between 2.0/3.0 and 3.0/2.0
+ order by w_warehouse_name
+         ,i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query22.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query22.groovy
new file mode 100644
index 0000000000..681d0fe3b8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query22.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query22") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_22 '''
+    explain shape plan
+
+
+
+
+select  i_product_name
+             ,i_brand
+             ,i_class
+             ,i_category
+             ,avg(inv_quantity_on_hand) qoh
+       from inventory
+           ,date_dim
+           ,item
+       where inv_date_sk=d_date_sk
+              and inv_item_sk=i_item_sk
+              and d_month_seq between 1188 and 1188 + 11
+       group by rollup(i_product_name
+                       ,i_brand
+                       ,i_class
+                       ,i_category)
+order by qoh, i_product_name, i_brand, i_class, i_category
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query23.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query23.groovy
new file mode 100644
index 0000000000..d92b0c855e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query23.groovy
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query23") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_23 '''
+    explain shape plan
+
+
+
+with frequent_ss_items as 
+ (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
+  from store_sales
+      ,date_dim 
+      ,item
+  where ss_sold_date_sk = d_date_sk
+    and ss_item_sk = i_item_sk 
+    and d_year in (2000,2000+1,2000+2,2000+3)
+  group by substr(i_item_desc,1,30),i_item_sk,d_date
+  having count(*) >4),
+ max_store_sales as
+ (select max(csales) tpcds_cmax 
+  from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
+        from store_sales
+            ,customer
+            ,date_dim 
+        where ss_customer_sk = c_customer_sk
+         and ss_sold_date_sk = d_date_sk
+         and d_year in (2000,2000+1,2000+2,2000+3) 
+        group by c_customer_sk) t),
+ best_ss_customer as
+ (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
+  from store_sales
+      ,customer
+  where ss_customer_sk = c_customer_sk
+  group by c_customer_sk
+  having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
+  *
+from
+ max_store_sales))
+  select  sum(sales)
+ from (select cs_quantity*cs_list_price sales
+       from catalog_sales
+           ,date_dim 
+       where d_year = 2000 
+         and d_moy = 5 
+         and cs_sold_date_sk = d_date_sk 
+         and cs_item_sk in (select item_sk from frequent_ss_items)
+         and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
+      union all
+      select ws_quantity*ws_list_price sales
+       from web_sales 
+           ,date_dim 
+       where d_year = 2000 
+         and d_moy = 5 
+         and ws_sold_date_sk = d_date_sk 
+         and ws_item_sk in (select item_sk from frequent_ss_items)
+         and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)) t2 
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query24.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query24.groovy
new file mode 100644
index 0000000000..78ed622b9f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query24.groovy
@@ -0,0 +1,93 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query24") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_24 '''
+          explain shape plan
+
+
+
+ with ssales as
+ (select c_last_name
+       ,c_first_name
+       ,s_store_name
+       ,ca_state
+       ,s_state
+       ,i_color
+       ,i_current_price
+       ,i_manager_id
+       ,i_units
+       ,i_size
+       ,sum(ss_net_profit) netpaid
+ from store_sales
+     ,store_returns
+     ,store
+     ,item
+     ,customer
+     ,customer_address
+ where ss_ticket_number = sr_ticket_number
+   and ss_item_sk = sr_item_sk
+   and ss_customer_sk = c_customer_sk
+   and ss_item_sk = i_item_sk
+   and ss_store_sk = s_store_sk
+   and c_current_addr_sk = ca_address_sk
+   and c_birth_country <> upper(ca_country)
+   and s_zip = ca_zip
+ and s_market_id=8
+ group by c_last_name
+         ,c_first_name
+         ,s_store_name
+         ,ca_state
+         ,s_state
+         ,i_color
+         ,i_current_price
+         ,i_manager_id
+         ,i_units
+         ,i_size)
+ select c_last_name
+       ,c_first_name
+       ,s_store_name
+       ,sum(netpaid) paid
+ from ssales
+ where i_color = 'beige'
+ group by c_last_name
+         ,c_first_name
+         ,s_store_name
+ having sum(netpaid) > (select 0.05*avg(netpaid)
+                                  from ssales)
+ order by c_last_name
+         ,c_first_name
+         ,s_store_name
+ ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query25.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query25.groovy
new file mode 100644
index 0000000000..9064dd98e5
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query25.groovy
@@ -0,0 +1,86 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query25") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_25 '''
+    explain shape plan
+
+
+
+select  
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ ,sum(ss_net_profit) as store_sales_profit
+ ,sum(sr_net_loss) as store_returns_loss
+ ,sum(cs_net_profit) as catalog_sales_profit
+ from
+ store_sales
+ ,store_returns
+ ,catalog_sales
+ ,date_dim d1
+ ,date_dim d2
+ ,date_dim d3
+ ,store
+ ,item
+ where
+ d1.d_moy = 4
+ and d1.d_year = 2000
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk = ss_item_sk
+ and s_store_sk = ss_store_sk
+ and ss_customer_sk = sr_customer_sk
+ and ss_item_sk = sr_item_sk
+ and ss_ticket_number = sr_ticket_number
+ and sr_returned_date_sk = d2.d_date_sk
+ and d2.d_moy               between 4 and  10
+ and d2.d_year              = 2000
+ and sr_customer_sk = cs_bill_customer_sk
+ and sr_item_sk = cs_item_sk
+ and cs_sold_date_sk = d3.d_date_sk
+ and d3.d_moy               between 4 and  10 
+ and d3.d_year              = 2000
+ group by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ order by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query26.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query26.groovy
new file mode 100644
index 0000000000..995a142d3c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query26.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query26") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_26 '''
+    explain shape plan
+
+
+
+
+select  i_item_id, 
+        avg(cs_quantity) agg1,
+        avg(cs_list_price) agg2,
+        avg(cs_coupon_amt) agg3,
+        avg(cs_sales_price) agg4 
+ from catalog_sales, customer_demographics, date_dim, item, promotion
+ where cs_sold_date_sk = d_date_sk and
+       cs_item_sk = i_item_sk and
+       cs_bill_cdemo_sk = cd_demo_sk and
+       cs_promo_sk = p_promo_sk and
+       cd_gender = 'M' and 
+       cd_marital_status = 'S' and
+       cd_education_status = 'Unknown' and
+       (p_channel_email = 'N' or p_channel_event = 'N') and
+       d_year = 2001 
+ group by i_item_id
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query27.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query27.groovy
new file mode 100644
index 0000000000..b75cd5f5b7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query27.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query27") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_27 '''
+    explain shape plan
+
+
+
+select  i_item_id,
+        s_state, grouping(s_state) g_state,
+        avg(ss_quantity) agg1,
+        avg(ss_list_price) agg2,
+        avg(ss_coupon_amt) agg3,
+        avg(ss_sales_price) agg4
+ from store_sales, customer_demographics, date_dim, store, item
+ where ss_sold_date_sk = d_date_sk and
+       ss_item_sk = i_item_sk and
+       ss_store_sk = s_store_sk and
+       ss_cdemo_sk = cd_demo_sk and
+       cd_gender = 'F' and
+       cd_marital_status = 'D' and
+       cd_education_status = 'Secondary' and
+       d_year = 1999 and
+       s_state in ('MO','AL', 'MI', 'TN', 'LA', 'SC')
+ group by rollup (i_item_id, s_state)
+ order by i_item_id
+         ,s_state
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query28.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query28.groovy
new file mode 100644
index 0000000000..7460bf80e9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query28.groovy
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query28") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_28 '''
+    explain shape plan
+
+
+
+
+select  *
+from (select avg(ss_list_price) B1_LP
+            ,count(ss_list_price) B1_CNT
+            ,count(distinct ss_list_price) B1_CNTD
+      from store_sales
+      where ss_quantity between 0 and 5
+        and (ss_list_price between 131 and 131+10 
+             or ss_coupon_amt between 16798 and 16798+1000
+             or ss_wholesale_cost between 25 and 25+20)) B1,
+     (select avg(ss_list_price) B2_LP
+            ,count(ss_list_price) B2_CNT
+            ,count(distinct ss_list_price) B2_CNTD
+      from store_sales
+      where ss_quantity between 6 and 10
+        and (ss_list_price between 145 and 145+10
+          or ss_coupon_amt between 14792 and 14792+1000
+          or ss_wholesale_cost between 46 and 46+20)) B2,
+     (select avg(ss_list_price) B3_LP
+            ,count(ss_list_price) B3_CNT
+            ,count(distinct ss_list_price) B3_CNTD
+      from store_sales
+      where ss_quantity between 11 and 15
+        and (ss_list_price between 150 and 150+10
+          or ss_coupon_amt between 6600 and 6600+1000
+          or ss_wholesale_cost between 9 and 9+20)) B3,
+     (select avg(ss_list_price) B4_LP
+            ,count(ss_list_price) B4_CNT
+            ,count(distinct ss_list_price) B4_CNTD
+      from store_sales
+      where ss_quantity between 16 and 20
+        and (ss_list_price between 91 and 91+10
+          or ss_coupon_amt between 13493 and 13493+1000
+          or ss_wholesale_cost between 36 and 36+20)) B4,
+     (select avg(ss_list_price) B5_LP
+            ,count(ss_list_price) B5_CNT
+            ,count(distinct ss_list_price) B5_CNTD
+      from store_sales
+      where ss_quantity between 21 and 25
+        and (ss_list_price between 0 and 0+10
+          or ss_coupon_amt between 7629 and 7629+1000
+          or ss_wholesale_cost between 6 and 6+20)) B5,
+     (select avg(ss_list_price) B6_LP
+            ,count(ss_list_price) B6_CNT
+            ,count(distinct ss_list_price) B6_CNTD
+      from store_sales
+      where ss_quantity between 26 and 30
+        and (ss_list_price between 89 and 89+10
+          or ss_coupon_amt between 15257 and 15257+1000
+          or ss_wholesale_cost between 31 and 31+20)) B6
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query29.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query29.groovy
new file mode 100644
index 0000000000..504f0e4b87
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query29.groovy
@@ -0,0 +1,86 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query29") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_29 '''
+    explain shape plan
+
+
+
+
+select   
+     i_item_id
+    ,i_item_desc
+    ,s_store_id
+    ,s_store_name
+    ,avg(ss_quantity)        as store_sales_quantity
+    ,avg(sr_return_quantity) as store_returns_quantity
+    ,avg(cs_quantity)        as catalog_sales_quantity
+ from
+    store_sales
+   ,store_returns
+   ,catalog_sales
+   ,date_dim             d1
+   ,date_dim             d2
+   ,date_dim             d3
+   ,store
+   ,item
+ where
+     d1.d_moy               = 4 
+ and d1.d_year              = 1999
+ and d1.d_date_sk           = ss_sold_date_sk
+ and i_item_sk              = ss_item_sk
+ and s_store_sk             = ss_store_sk
+ and ss_customer_sk         = sr_customer_sk
+ and ss_item_sk             = sr_item_sk
+ and ss_ticket_number       = sr_ticket_number
+ and sr_returned_date_sk    = d2.d_date_sk
+ and d2.d_moy               between 4 and  4 + 3 
+ and d2.d_year              = 1999
+ and sr_customer_sk         = cs_bill_customer_sk
+ and sr_item_sk             = cs_item_sk
+ and cs_sold_date_sk        = d3.d_date_sk     
+ and d3.d_year              in (1999,1999+1,1999+2)
+ group by
+    i_item_id
+   ,i_item_desc
+   ,s_store_id
+   ,s_store_name
+ order by
+    i_item_id 
+   ,i_item_desc
+   ,s_store_id
+   ,s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query3.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query3.groovy
new file mode 100644
index 0000000000..3577d7f5ef
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query3.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query3") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+
+    qt_ds_shape_3 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year 
+       ,item.i_brand_id brand_id 
+       ,item.i_brand brand
+       ,sum(ss_sales_price) sum_agg
+ from  date_dim dt 
+      ,store_sales
+      ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+   and store_sales.ss_item_sk = item.i_item_sk
+   and item.i_manufact_id = 816
+   and dt.d_moy=11
+ group by dt.d_year
+      ,item.i_brand
+      ,item.i_brand_id
+ order by dt.d_year
+         ,sum_agg desc
+         ,brand_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query30.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query30.groovy
new file mode 100644
index 0000000000..0369157e12
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query30.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query30") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_30 '''
+    explain shape plan
+
+
+
+
+with customer_total_return as
+ (select wr_returning_customer_sk as ctr_customer_sk
+        ,ca_state as ctr_state, 
+ 	sum(wr_return_amt) as ctr_total_return
+ from web_returns
+     ,date_dim
+     ,customer_address
+ where wr_returned_date_sk = d_date_sk 
+   and d_year =2002
+   and wr_returning_addr_sk = ca_address_sk 
+ group by wr_returning_customer_sk
+         ,ca_state)
+  select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+       ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+       ,c_last_review_date_sk,ctr_total_return
+ from customer_total_return ctr1
+     ,customer_address
+     ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ 			  from customer_total_return ctr2 
+                  	  where ctr1.ctr_state = ctr2.ctr_state)
+       and ca_address_sk = c_current_addr_sk
+       and ca_state = 'IN'
+       and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+                  ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+                  ,c_last_review_date_sk,ctr_total_return
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query31.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query31.groovy
new file mode 100644
index 0000000000..2587ad7a70
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query31.groovy
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query31") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_31 '''
+    explain shape plan
+
+
+
+
+with ss as
+ (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
+ from store_sales,date_dim,customer_address
+ where ss_sold_date_sk = d_date_sk
+  and ss_addr_sk=ca_address_sk
+ group by ca_county,d_qoy, d_year),
+ ws as
+ (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
+ from web_sales,date_dim,customer_address
+ where ws_sold_date_sk = d_date_sk
+  and ws_bill_addr_sk=ca_address_sk
+ group by ca_county,d_qoy, d_year)
+ select 
+        ss1.ca_county
+       ,ss1.d_year
+       ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
+       ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
+       ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
+       ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
+ from
+        ss ss1
+       ,ss ss2
+       ,ss ss3
+       ,ws ws1
+       ,ws ws2
+       ,ws ws3
+ where
+    ss1.d_qoy = 1
+    and ss1.d_year = 2000
+    and ss1.ca_county = ss2.ca_county
+    and ss2.d_qoy = 2
+    and ss2.d_year = 2000
+ and ss2.ca_county = ss3.ca_county
+    and ss3.d_qoy = 3
+    and ss3.d_year = 2000
+    and ss1.ca_county = ws1.ca_county
+    and ws1.d_qoy = 1
+    and ws1.d_year = 2000
+    and ws1.ca_county = ws2.ca_county
+    and ws2.d_qoy = 2
+    and ws2.d_year = 2000
+    and ws1.ca_county = ws3.ca_county
+    and ws3.d_qoy = 3
+    and ws3.d_year =2000
+    and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end 
+       > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
+    and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
+       > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
+ order by web_q1_q2_increase;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query32.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query32.groovy
new file mode 100644
index 0000000000..30b9a6adcd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query32.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query32") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_32 '''
+    explain shape plan
+
+
+
+
+select  sum(cs_ext_discount_amt)  as "excess discount amount" 
+from 
+   catalog_sales 
+   ,item 
+   ,date_dim
+where
+i_manufact_id = 29
+and i_item_sk = cs_item_sk 
+and d_date between '1999-01-07' and 
+        (cast('1999-01-07' as date) + interval 90 day)
+and d_date_sk = cs_sold_date_sk 
+and cs_ext_discount_amt  
+     > ( 
+         select 
+            1.3 * avg(cs_ext_discount_amt) 
+         from 
+            catalog_sales 
+           ,date_dim
+         where 
+              cs_item_sk = i_item_sk 
+          and d_date between '1999-01-07' and
+                             (cast('1999-01-07' as date) + interval 90 day)
+          and d_date_sk = cs_sold_date_sk 
+      ) 
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query33.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query33.groovy
new file mode 100644
index 0000000000..c063f3f4a7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query33.groovy
@@ -0,0 +1,114 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query33") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_33 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select
+          i_manufact_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -5 
+ group by i_manufact_id),
+ cs as (
+ select
+          i_manufact_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id               in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -5 
+ group by i_manufact_id),
+ ws as (
+ select
+          i_manufact_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_manufact_id               in (select
+  i_manufact_id
+from
+ item
+where i_category in ('Home'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2002
+ and     d_moy                   = 1
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -5
+ group by i_manufact_id)
+  select  i_manufact_id ,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_manufact_id
+ order by total_sales
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query34.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query34.groovy
new file mode 100644
index 0000000000..125147f38b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query34.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query34") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_34 '''
+    explain shape plan
+
+
+
+
+select c_last_name
+       ,c_first_name
+       ,c_salutation
+       ,c_preferred_cust_flag
+       ,ss_ticket_number
+       ,cnt from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,count(*) cnt
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28)
+    and (household_demographics.hd_buy_potential = '1001-5000' or
+         household_demographics.hd_buy_potential = '0-500')
+    and household_demographics.hd_vehicle_count > 0
+    and (case when household_demographics.hd_vehicle_count > 0 
+	then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count 
+	else null 
+	end)  > 1.2
+    and date_dim.d_year in (1998,1998+1,1998+2)
+    and store.s_county in ('Ziebach County','Daviess County','Walker County','Richland County',
+                           'Barrow County','Franklin Parish','Williamson County','Luce County')
+    group by ss_ticket_number,ss_customer_sk) dn,customer
+    where ss_customer_sk = c_customer_sk
+      and cnt between 15 and 20
+    order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query35.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query35.groovy
new file mode 100644
index 0000000000..e12bd6da9b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query35.groovy
@@ -0,0 +1,97 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query35") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_35 '''
+    explain shape plan
+
+
+
+
+select   
+  ca_state,
+  cd_gender,
+  cd_marital_status,
+  cd_dep_count,
+  count(*) cnt1,
+  max(cd_dep_count),
+  sum(cd_dep_count),
+  max(cd_dep_count),
+  cd_dep_employed_count,
+  count(*) cnt2,
+  max(cd_dep_employed_count),
+  sum(cd_dep_employed_count),
+  max(cd_dep_employed_count),
+  cd_dep_college_count,
+  count(*) cnt3,
+  max(cd_dep_college_count),
+  sum(cd_dep_college_count),
+  max(cd_dep_college_count)
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2001 and
+                d_qoy < 4) and
+   (exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_qoy < 4) or 
+    exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2001 and
+                  d_qoy < 4))
+ group by ca_state,
+          cd_gender,
+          cd_marital_status,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ order by ca_state,
+          cd_gender,
+          cd_marital_status,
+          cd_dep_count,
+          cd_dep_employed_count,
+          cd_dep_college_count
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query36.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query36.groovy
new file mode 100644
index 0000000000..2b06bfdb65
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query36.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query36") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_36 '''
+    explain shape plan
+
+
+
+
+select  
+    sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
+   ,i_category
+   ,i_class
+   ,grouping(i_category)+grouping(i_class) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(i_category)+grouping(i_class),
+ 	case when grouping(i_class) = 0 then i_category end 
+ 	order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent
+ from
+    store_sales
+   ,date_dim       d1
+   ,item
+   ,store
+ where
+    d1.d_year = 2002 
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk  = ss_item_sk 
+ and s_store_sk  = ss_store_sk
+ and s_state in ('SD','TN','GA','SC',
+                 'MO','AL','MI','OH')
+ group by rollup(i_category,i_class)
+ order by
+   lochierarchy desc
+  ,case when lochierarchy = 0 then i_category end
+  ,rank_within_parent
+  limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query37.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query37.groovy
new file mode 100644
index 0000000000..02ae80026c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query37.groovy
@@ -0,0 +1,56 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query37") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_37 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,i_current_price
+ from item, inventory, date_dim, catalog_sales
+ where i_current_price between 45 and 45 + 30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('1999-02-21' as date) and (cast('1999-02-21' as date) +  interval 60 day)
+ and i_manufact_id in (856,707,1000,747)
+ and inv_quantity_on_hand between 100 and 500
+ and cs_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query38.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query38.groovy
new file mode 100644
index 0000000000..55c5c396c5
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query38.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query38") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_38 '''
+    explain shape plan
+
+
+
+
+select  count(*) from (
+    select distinct c_last_name, c_first_name, d_date
+    from store_sales, date_dim, customer
+          where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+      and store_sales.ss_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+  intersect
+    select distinct c_last_name, c_first_name, d_date
+    from catalog_sales, date_dim, customer
+          where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
+      and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+  intersect
+    select distinct c_last_name, c_first_name, d_date
+    from web_sales, date_dim, customer
+          where web_sales.ws_sold_date_sk = date_dim.d_date_sk
+      and web_sales.ws_bill_customer_sk = customer.c_customer_sk
+      and d_month_seq between 1183 and 1183 + 11
+) hot_cust
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query39.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query39.groovy
new file mode 100644
index 0000000000..eb17212790
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query39.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query39") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_39 '''
+    explain shape plan
+
+
+
+
+with inv as
+(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
+       ,stdev,mean, case mean when 0 then null else stdev/mean end cov
+ from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
+            ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
+      from inventory
+          ,item
+          ,warehouse
+          ,date_dim
+      where inv_item_sk = i_item_sk
+        and inv_warehouse_sk = w_warehouse_sk
+        and inv_date_sk = d_date_sk
+        and d_year =1998
+      group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
+ where case mean when 0 then 0 else stdev/mean end > 1)
+select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
+        ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
+from inv inv1,inv inv2
+where inv1.i_item_sk = inv2.i_item_sk
+  and inv1.w_warehouse_sk =  inv2.w_warehouse_sk
+  and inv1.d_moy=1
+  and inv2.d_moy=1+1
+order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
+        ,inv2.d_moy,inv2.mean, inv2.cov
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query4.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query4.groovy
new file mode 100644
index 0000000000..2abba2e90a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query4.groovy
@@ -0,0 +1,153 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query4") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_4 '''
+    explain shape plan
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
+       ,'c' sale_type
+ from customer
+     ,catalog_sales
+     ,date_dim
+ where c_customer_sk = cs_bill_customer_sk
+   and cs_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,c_preferred_cust_flag customer_preferred_cust_flag
+       ,c_birth_country customer_birth_country
+       ,c_login customer_login
+       ,c_email_address customer_email_address
+       ,d_year dyear
+       ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,c_preferred_cust_flag
+         ,c_birth_country
+         ,c_login
+         ,c_email_address
+         ,d_year
+         )
+  select  
+                  t_s_secyear.customer_id
+                 ,t_s_secyear.customer_first_name
+                 ,t_s_secyear.customer_last_name
+                 ,t_s_secyear.customer_birth_country
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_c_firstyear
+     ,year_total t_c_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_c_secyear.customer_id
+   and t_s_firstyear.customer_id = t_c_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+   and t_s_firstyear.customer_id = t_w_secyear.customer_id
+   and t_s_firstyear.sale_type = 's'
+   and t_c_firstyear.sale_type = 'c'
+   and t_w_firstyear.sale_type = 'w'
+   and t_s_secyear.sale_type = 's'
+   and t_c_secyear.sale_type = 'c'
+   and t_w_secyear.sale_type = 'w'
+   and t_s_firstyear.dyear =  1999
+   and t_s_secyear.dyear = 1999+1
+   and t_c_firstyear.dyear =  1999
+   and t_c_secyear.dyear =  1999+1
+   and t_w_firstyear.dyear = 1999
+   and t_w_secyear.dyear = 1999+1
+   and t_s_firstyear.year_total > 0
+   and t_c_firstyear.year_total > 0
+   and t_w_firstyear.year_total > 0
+   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
+           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
+   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
+           > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
+ order by t_s_secyear.customer_id
+         ,t_s_secyear.customer_first_name
+         ,t_s_secyear.customer_last_name
+         ,t_s_secyear.customer_birth_country
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query40.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query40.groovy
new file mode 100644
index 0000000000..63228f6d5d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query40.groovy
@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query40") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_40 '''
+    explain shape plan
+
+
+
+select  
+   w_state
+  ,i_item_id
+  ,sum(case when (cast(d_date as date) < cast ('2001-04-02' as date)) 
+ 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before
+  ,sum(case when (cast(d_date as date) >= cast ('2001-04-02' as date)) 
+ 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after
+ from
+   catalog_sales left outer join catalog_returns on
+       (cs_order_number = cr_order_number 
+        and cs_item_sk = cr_item_sk)
+  ,warehouse 
+  ,item
+  ,date_dim
+ where
+     i_current_price between 0.99 and 1.49
+ and i_item_sk          = cs_item_sk
+ and cs_warehouse_sk    = w_warehouse_sk 
+ and cs_sold_date_sk    = d_date_sk
+ and d_date between (cast ('2001-04-02' as date) - interval 30 day)
+                and (cast ('2001-04-02' as date) + interval 30 day) 
+ group by
+    w_state,i_item_id
+ order by w_state,i_item_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query41.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query41.groovy
new file mode 100644
index 0000000000..d3fc39c9ad
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query41.groovy
@@ -0,0 +1,91 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query41") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_41 '''
+    explain shape plan
+
+
+
+
+select  distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 748 and 748+40 
+   and (select count(*) as item_cnt
+        from item
+        where (i_manufact = i1.i_manufact and
+        ((i_category = 'Women' and 
+        (i_color = 'gainsboro' or i_color = 'aquamarine') and 
+        (i_units = 'Ounce' or i_units = 'Dozen') and
+        (i_size = 'medium' or i_size = 'economy')
+        ) or
+        (i_category = 'Women' and
+        (i_color = 'chiffon' or i_color = 'violet') and
+        (i_units = 'Ton' or i_units = 'Pound') and
+        (i_size = 'extra large' or i_size = 'small')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'chartreuse' or i_color = 'blue') and
+        (i_units = 'Each' or i_units = 'Oz') and
+        (i_size = 'N/A' or i_size = 'large')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'tan' or i_color = 'dodger') and
+        (i_units = 'Bunch' or i_units = 'Tsp') and
+        (i_size = 'medium' or i_size = 'economy')
+        ))) or
+       (i_manufact = i1.i_manufact and
+        ((i_category = 'Women' and 
+        (i_color = 'blanched' or i_color = 'tomato') and 
+        (i_units = 'Tbl' or i_units = 'Case') and
+        (i_size = 'medium' or i_size = 'economy')
+        ) or
+        (i_category = 'Women' and
+        (i_color = 'almond' or i_color = 'lime') and
+        (i_units = 'Box' or i_units = 'Dram') and
+        (i_size = 'extra large' or i_size = 'small')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'peru' or i_color = 'saddle') and
+        (i_units = 'Pallet' or i_units = 'Gram') and
+        (i_size = 'N/A' or i_size = 'large')
+        ) or
+        (i_category = 'Men' and
+        (i_color = 'indian' or i_color = 'spring') and
+        (i_units = 'Unknown' or i_units = 'Carton') and
+        (i_size = 'medium' or i_size = 'economy')
+        )))) > 0
+ order by i_product_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query42.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query42.groovy
new file mode 100644
index 0000000000..899777f1df
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query42.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query42") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_42 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year
+ 	,item.i_category_id
+ 	,item.i_category
+ 	,sum(ss_ext_sales_price)
+ from 	date_dim dt
+ 	,store_sales
+ 	,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+ 	and store_sales.ss_item_sk = item.i_item_sk
+ 	and item.i_manager_id = 1  	
+ 	and dt.d_moy=11
+ 	and dt.d_year=2002
+ group by 	dt.d_year
+ 		,item.i_category_id
+ 		,item.i_category
+ order by       sum(ss_ext_sales_price) desc,dt.d_year
+ 		,item.i_category_id
+ 		,item.i_category
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query43.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query43.groovy
new file mode 100644
index 0000000000..ad59f1cdcf
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query43.groovy
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query43") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_43 '''
+    explain shape plan
+
+
+
+
+select  s_store_name, s_store_id,
+        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from date_dim, store_sales, store
+ where d_date_sk = ss_sold_date_sk and
+       s_store_sk = ss_store_sk and
+       s_gmt_offset = -5 and
+       d_year = 2000 
+ group by s_store_name, s_store_id
+ order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query44.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query44.groovy
new file mode 100644
index 0000000000..4a77994da3
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query44.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query44") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_44 '''
+    explain shape plan
+
+
+
+
+select  asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
+from(select *
+     from (select item_sk,rank() over (order by rank_col asc) rnk
+           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col 
+                 from store_sales ss1
+                 where ss_store_sk = 146
+                 group by ss_item_sk
+                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
+                                                  from store_sales
+                                                  where ss_store_sk = 146
+                                                    and ss_addr_sk is null
+                                                  group by ss_store_sk))V1)V11
+     where rnk  < 11) asceding,
+    (select *
+     from (select item_sk,rank() over (order by rank_col desc) rnk
+           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
+                 from store_sales ss1
+                 where ss_store_sk = 146
+                 group by ss_item_sk
+                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
+                                                  from store_sales
+                                                  where ss_store_sk = 146
+                                                    and ss_addr_sk is null
+                                                  group by ss_store_sk))V2)V21
+     where rnk  < 11) descending,
+item i1,
+item i2
+where asceding.rnk = descending.rnk 
+  and i1.i_item_sk=asceding.item_sk
+  and i2.i_item_sk=descending.item_sk
+order by asceding.rnk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query45.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query45.groovy
new file mode 100644
index 0000000000..cb824fe612
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query45.groovy
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query45") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_45 '''
+    explain shape plan
+
+
+
+
+select  ca_zip, ca_city, sum(ws_sales_price)
+ from web_sales, customer, customer_address, date_dim, item
+ where ws_bill_customer_sk = c_customer_sk
+ 	and c_current_addr_sk = ca_address_sk 
+ 	and ws_item_sk = i_item_sk 
+ 	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792')
+ 	      or 
+ 	      i_item_id in (select i_item_id
+                             from item
+                             where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
+                             )
+ 	    )
+ 	and ws_sold_date_sk = d_date_sk
+ 	and d_qoy = 2 and d_year = 2000
+ group by ca_zip, ca_city
+ order by ca_zip, ca_city
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query46.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query46.groovy
new file mode 100644
index 0000000000..fd827da51f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query46.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query46") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_46 '''
+    explain shape plan
+
+
+
+
+select  c_last_name
+       ,c_first_name
+       ,ca_city
+       ,bought_city
+       ,ss_ticket_number
+       ,amt,profit 
+ from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,ca_city bought_city
+          ,sum(ss_coupon_amt) amt
+          ,sum(ss_net_profit) profit
+    from store_sales,date_dim,store,household_demographics,customer_address 
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and store_sales.ss_addr_sk = customer_address.ca_address_sk
+    and (household_demographics.hd_dep_count = 6 or
+         household_demographics.hd_vehicle_count= 0)
+    and date_dim.d_dow in (6,0)
+    and date_dim.d_year in (1999,1999+1,1999+2) 
+    and store.s_city in ('Five Points','Centerville','Oak Grove','Fairview','Liberty') 
+    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr
+    where ss_customer_sk = c_customer_sk
+      and customer.c_current_addr_sk = current_addr.ca_address_sk
+      and current_addr.ca_city <> bought_city
+  order by c_last_name
+          ,c_first_name
+          ,ca_city
+          ,bought_city
+          ,ss_ticket_number
+  limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query47.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query47.groovy
new file mode 100644
index 0000000000..92a2dcb2ce
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query47.groovy
@@ -0,0 +1,88 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query47") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_47 '''
+    explain shape plan
+
+
+with v1 as(
+ select i_category, i_brand,
+        s_store_name, s_company_name,
+        d_year, d_moy,
+        sum(ss_sales_price) sum_sales,
+        avg(sum(ss_sales_price)) over
+          (partition by i_category, i_brand,
+                     s_store_name, s_company_name, d_year)
+          avg_monthly_sales,
+        rank() over
+          (partition by i_category, i_brand,
+                     s_store_name, s_company_name
+           order by d_year, d_moy) rn
+ from item, store_sales, date_dim, store
+ where ss_item_sk = i_item_sk and
+       ss_sold_date_sk = d_date_sk and
+       ss_store_sk = s_store_sk and
+       (
+         d_year = 2001 or
+         ( d_year = 2001-1 and d_moy =12) or
+         ( d_year = 2001+1 and d_moy =1)
+       )
+ group by i_category, i_brand,
+          s_store_name, s_company_name,
+          d_year, d_moy),
+ v2 as(
+ select v1.s_store_name
+        ,v1.d_year
+        ,v1.avg_monthly_sales
+        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
+ from v1, v1 v1_lag, v1 v1_lead
+ where v1.i_category = v1_lag.i_category and
+       v1.i_category = v1_lead.i_category and
+       v1.i_brand = v1_lag.i_brand and
+       v1.i_brand = v1_lead.i_brand and
+       v1.s_store_name = v1_lag.s_store_name and
+       v1.s_store_name = v1_lead.s_store_name and
+       v1.s_company_name = v1_lag.s_company_name and
+       v1.s_company_name = v1_lead.s_company_name and
+       v1.rn = v1_lag.rn + 1 and
+       v1.rn = v1_lead.rn - 1)
+  select  *
+ from v2
+ where  d_year = 2001 and    
+        avg_monthly_sales > 0 and
+        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+ order by sum_sales - avg_monthly_sales, nsum
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query48.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query48.groovy
new file mode 100644
index 0000000000..1f38ed58c4
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query48.groovy
@@ -0,0 +1,106 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query48") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_48 '''
+    explain shape plan
+
+
+
+
+select sum (ss_quantity)
+ from store_sales, store, customer_demographics, customer_address, date_dim
+ where s_store_sk = ss_store_sk
+ and  ss_sold_date_sk = d_date_sk and d_year = 1999
+ and  
+ (
+  (
+   cd_demo_sk = ss_cdemo_sk
+   and 
+   cd_marital_status = 'U'
+   and 
+   cd_education_status = 'Primary'
+   and 
+   ss_sales_price between 100.00 and 150.00  
+   )
+ or
+  (
+  cd_demo_sk = ss_cdemo_sk
+   and 
+   cd_marital_status = 'W'
+   and 
+   cd_education_status = 'College'
+   and 
+   ss_sales_price between 50.00 and 100.00   
+  )
+ or 
+ (
+  cd_demo_sk = ss_cdemo_sk
+  and 
+   cd_marital_status = 'D'
+   and 
+   cd_education_status = '2 yr Degree'
+   and 
+   ss_sales_price between 150.00 and 200.00  
+ )
+ )
+ and
+ (
+  (
+  ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('MD', 'MN', 'IA')
+  and ss_net_profit between 0 and 2000  
+  )
+ or
+  (ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('VA', 'IL', 'TX')
+  and ss_net_profit between 150 and 3000 
+  )
+ or
+  (ss_addr_sk = ca_address_sk
+  and
+  ca_country = 'United States'
+  and
+  ca_state in ('MI', 'WI', 'IN')
+  and ss_net_profit between 50 and 25000 
+  )
+ )
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query49.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query49.groovy
new file mode 100644
index 0000000000..6300b61cf1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query49.groovy
@@ -0,0 +1,168 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query49") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_49 '''
+    explain shape plan
+
+
+
+
+select  channel, item, return_ratio, return_rank, currency_rank from
+ (select
+ 'web' as channel
+ ,web.item
+ ,web.return_ratio
+ ,web.return_rank
+ ,web.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select ws.ws_item_sk as item
+ 		,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		 web_sales ws left outer join web_returns wr 
+ 			on (ws.ws_order_number = wr.wr_order_number and 
+ 			ws.ws_item_sk = wr.wr_item_sk)
+                 ,date_dim
+ 		where 
+ 			wr.wr_return_amt > 10000 
+ 			and ws.ws_net_profit > 1
+                         and ws.ws_net_paid > 0
+                         and ws.ws_quantity > 0
+                         and ws_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+ 		group by ws.ws_item_sk
+ 	) in_web
+ ) web
+ where 
+ (
+ web.return_rank <= 10
+ or
+ web.currency_rank <= 10
+ )
+ union
+ select 
+ 'catalog' as channel
+ ,catalog.item
+ ,catalog.return_ratio
+ ,catalog.return_rank
+ ,catalog.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select 
+ 		cs.cs_item_sk as item
+ 		,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/
+ 		cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		catalog_sales cs left outer join catalog_returns cr
+ 			on (cs.cs_order_number = cr.cr_order_number and 
+ 			cs.cs_item_sk = cr.cr_item_sk)
+                ,date_dim
+ 		where 
+ 			cr.cr_return_amount > 10000 
+ 			and cs.cs_net_profit > 1
+                         and cs.cs_net_paid > 0
+                         and cs.cs_quantity > 0
+                         and cs_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+                 group by cs.cs_item_sk
+ 	) in_cat
+ ) catalog
+ where 
+ (
+ catalog.return_rank <= 10
+ or
+ catalog.currency_rank <=10
+ )
+ union
+ select 
+ 'store' as channel
+ ,store.item
+ ,store.return_ratio
+ ,store.return_rank
+ ,store.currency_rank
+ from (
+ 	select 
+ 	 item
+ 	,return_ratio
+ 	,currency_ratio
+ 	,rank() over (order by return_ratio) as return_rank
+ 	,rank() over (order by currency_ratio) as currency_rank
+ 	from
+ 	(	select sts.ss_item_sk as item
+ 		,(cast(sum(coalesce(sr.sr_return_quantity,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio
+ 		,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio
+ 		from 
+ 		store_sales sts left outer join store_returns sr
+ 			on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk)
+                ,date_dim
+ 		where 
+ 			sr.sr_return_amt > 10000 
+ 			and sts.ss_net_profit > 1
+                         and sts.ss_net_paid > 0 
+                         and sts.ss_quantity > 0
+                         and ss_sold_date_sk = d_date_sk
+                         and d_year = 1999
+                         and d_moy = 12
+ 		group by sts.ss_item_sk
+ 	) in_store
+ ) store
+ where  (
+ store.return_rank <= 10
+ or 
+ store.currency_rank <= 10
+ )
+ )
+  t order by 1,4,5,2
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query5.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query5.groovy
new file mode 100644
index 0000000000..d3db552ce6
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query5.groovy
@@ -0,0 +1,167 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query5") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_5 '''
+    explain shape plan
+
+
+
+
+with ssr as
+ (select s_store_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  ss_store_sk as store_sk,
+            ss_sold_date_sk  as date_sk,
+            ss_ext_sales_price as sales_price,
+            ss_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from store_sales
+    union all
+    select sr_store_sk as store_sk,
+           sr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           sr_return_amt as return_amt,
+           sr_net_loss as net_loss
+    from store_returns
+   ) salesreturns,
+     date_dim,
+     store
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date) 
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and store_sk = s_store_sk
+ group by s_store_id)
+ ,
+ csr as
+ (select cp_catalog_page_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  cs_catalog_page_sk as page_sk,
+            cs_sold_date_sk  as date_sk,
+            cs_ext_sales_price as sales_price,
+            cs_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from catalog_sales
+    union all
+    select cr_catalog_page_sk as page_sk,
+           cr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           cr_return_amount as return_amt,
+           cr_net_loss as net_loss
+    from catalog_returns
+   ) salesreturns,
+     date_dim,
+     catalog_page
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date)
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and page_sk = cp_catalog_page_sk
+ group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select web_site_id,
+        sum(sales_price) as sales,
+        sum(profit) as profit,
+        sum(return_amt) as returns,
+        sum(net_loss) as profit_loss
+ from
+  ( select  ws_web_site_sk as wsr_web_site_sk,
+            ws_sold_date_sk  as date_sk,
+            ws_ext_sales_price as sales_price,
+            ws_net_profit as profit,
+            cast(0 as decimal(7,2)) as return_amt,
+            cast(0 as decimal(7,2)) as net_loss
+    from web_sales
+    union all
+    select ws_web_site_sk as wsr_web_site_sk,
+           wr_returned_date_sk as date_sk,
+           cast(0 as decimal(7,2)) as sales_price,
+           cast(0 as decimal(7,2)) as profit,
+           wr_return_amt as return_amt,
+           wr_net_loss as net_loss
+    from web_returns left outer join web_sales on
+         ( wr_item_sk = ws_item_sk
+           and wr_order_number = ws_order_number)
+   ) salesreturns,
+     date_dim,
+     web_site
+ where date_sk = d_date_sk
+       and d_date between cast('2000-08-19' as date)
+                  and (cast('2000-08-19' as date) +  interval 14 day)
+       and wsr_web_site_sk = web_site_sk
+ group by web_site_id)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , concat('store', s_store_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from   ssr
+ union all
+ select 'catalog channel' as channel
+        , concat('catalog_page', cp_catalog_page_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from  csr
+ union all
+ select 'web channel' as channel
+        , concat('web_site', web_site_id) id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from   wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query50.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query50.groovy
new file mode 100644
index 0000000000..c56b6dd247
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query50.groovy
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query50") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_50 '''
+    explain shape plan
+
+
+
+
+select  
+   s_store_name
+  ,s_company_id
+  ,s_street_number
+  ,s_street_name
+  ,s_street_type
+  ,s_suite_number
+  ,s_city
+  ,s_county
+  ,s_state
+  ,s_zip
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and 
+                 (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and 
+                 (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
+                 (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   store_sales
+  ,store_returns
+  ,store
+  ,date_dim d1
+  ,date_dim d2
+where
+    d2.d_year = 2001
+and d2.d_moy  = 8
+and ss_ticket_number = sr_ticket_number
+and ss_item_sk = sr_item_sk
+and ss_sold_date_sk   = d1.d_date_sk
+and sr_returned_date_sk   = d2.d_date_sk
+and ss_customer_sk = sr_customer_sk
+and ss_store_sk = s_store_sk
+group by
+   s_store_name
+  ,s_company_id
+  ,s_street_number
+  ,s_street_name
+  ,s_street_type
+  ,s_suite_number
+  ,s_city
+  ,s_county
+  ,s_state
+  ,s_zip
+order by s_store_name
+        ,s_company_id
+        ,s_street_number
+        ,s_street_name
+        ,s_street_type
+        ,s_suite_number
+        ,s_city
+        ,s_county
+        ,s_state
+        ,s_zip
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query51.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query51.groovy
new file mode 100644
index 0000000000..073413018d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query51.groovy
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query51") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_51 '''
+    explain shape plan
+
+
+
+
+WITH web_v1 as (
+select
+  ws_item_sk item_sk, d_date,
+  sum(sum(ws_sales_price))
+      over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from web_sales
+    ,date_dim
+where ws_sold_date_sk=d_date_sk
+  and d_month_seq between 1216 and 1216+11
+  and ws_item_sk is not NULL
+group by ws_item_sk, d_date),
+store_v1 as (
+select
+  ss_item_sk item_sk, d_date,
+  sum(sum(ss_sales_price))
+      over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from store_sales
+    ,date_dim
+where ss_sold_date_sk=d_date_sk
+  and d_month_seq between 1216 and 1216+11
+  and ss_item_sk is not NULL
+group by ss_item_sk, d_date)
+ select  *
+from (select item_sk
+     ,d_date
+     ,web_sales
+     ,store_sales
+     ,max(web_sales)
+         over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
+     ,max(store_sales)
+         over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
+     from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
+                 ,case when web.d_date is not null then web.d_date else store.d_date end d_date
+                 ,web.cume_sales web_sales
+                 ,store.cume_sales store_sales
+           from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
+                                                          and web.d_date = store.d_date)
+          )x )y
+where web_cumulative > store_cumulative
+order by item_sk
+        ,d_date
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query52.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query52.groovy
new file mode 100644
index 0000000000..a0403cecbf
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query52.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query52") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_52 '''
+    explain shape plan
+
+
+
+
+select  dt.d_year
+ 	,item.i_brand_id brand_id
+ 	,item.i_brand brand
+ 	,sum(ss_ext_sales_price) ext_price
+ from date_dim dt
+     ,store_sales
+     ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+    and store_sales.ss_item_sk = item.i_item_sk
+    and item.i_manager_id = 1
+    and dt.d_moy=12
+    and dt.d_year=2002
+ group by dt.d_year
+ 	,item.i_brand
+ 	,item.i_brand_id
+ order by dt.d_year
+ 	,ext_price desc
+ 	,brand_id
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query53.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query53.groovy
new file mode 100644
index 0000000000..af4bd5686e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query53.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query53") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_53 '''
+    explain shape plan
+
+
+
+
+select  * from 
+(select i_manufact_id,
+sum(ss_sales_price) sum_sales,
+avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales
+from item, store_sales, date_dim, store
+where ss_item_sk = i_item_sk and
+ss_sold_date_sk = d_date_sk and
+ss_store_sk = s_store_sk and
+d_month_seq in (1200,1200+1,1200+2,1200+3,1200+4,1200+5,1200+6,1200+7,1200+8,1200+9,1200+10,1200+11) and
+((i_category in ('Books','Children','Electronics') and
+i_class in ('personal','portable','reference','self-help') and
+i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
+		'exportiunivamalg #9','scholaramalgamalg #9'))
+or(i_category in ('Women','Music','Men') and
+i_class in ('accessories','classical','fragrances','pants') and
+i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
+		'importoamalg #1')))
+group by i_manufact_id, d_qoy ) tmp1
+where case when avg_quarterly_sales > 0 
+	then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales 
+	else null end > 0.1
+order by avg_quarterly_sales,
+	 sum_sales,
+	 i_manufact_id
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query54.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query54.groovy
new file mode 100644
index 0000000000..53f42db8f3
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query54.groovy
@@ -0,0 +1,95 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query54") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_54 '''
+    explain shape plan
+
+
+
+
+with my_customers as (
+ select distinct c_customer_sk
+        , c_current_addr_sk
+ from   
+        ( select cs_sold_date_sk sold_date_sk,
+                 cs_bill_customer_sk customer_sk,
+                 cs_item_sk item_sk
+          from   catalog_sales
+          union all
+          select ws_sold_date_sk sold_date_sk,
+                 ws_bill_customer_sk customer_sk,
+                 ws_item_sk item_sk
+          from   web_sales
+         ) cs_or_ws_sales,
+         item,
+         date_dim,
+         customer
+ where   sold_date_sk = d_date_sk
+         and item_sk = i_item_sk
+         and i_category = 'Women'
+         and i_class = 'maternity'
+         and c_customer_sk = cs_or_ws_sales.customer_sk
+         and d_moy = 5
+         and d_year = 1998
+ )
+ , my_revenue as (
+ select c_customer_sk,
+        sum(ss_ext_sales_price) as revenue
+ from   my_customers,
+        store_sales,
+        customer_address,
+        store,
+        date_dim
+ where  c_current_addr_sk = ca_address_sk
+        and ca_county = s_county
+        and ca_state = s_state
+        and ss_sold_date_sk = d_date_sk
+        and c_customer_sk = ss_customer_sk
+        and d_month_seq between (select distinct d_month_seq+1
+                                 from   date_dim where d_year = 1998 and d_moy = 5)
+                           and  (select distinct d_month_seq+3
+                                 from   date_dim where d_year = 1998 and d_moy = 5)
+ group by c_customer_sk
+ )
+ , segments as
+ (select cast((revenue/50) as int) as segment
+  from   my_revenue
+ )
+  select  segment, count(*) as num_customers, segment*50 as segment_base
+ from segments
+ group by segment
+ order by segment, num_customers
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query55.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query55.groovy
new file mode 100644
index 0000000000..b710476907
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query55.groovy
@@ -0,0 +1,53 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query55") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_55 '''
+    explain shape plan
+
+
+
+
+select  i_brand_id brand_id, i_brand brand,
+ 	sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item
+ where d_date_sk = ss_sold_date_sk
+ 	and ss_item_sk = i_item_sk
+ 	and i_manager_id=100
+ 	and d_moy=12
+ 	and d_year=2000
+ group by i_brand, i_brand_id
+ order by ext_price desc, i_brand_id
+limit 100 ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query56.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query56.groovy
new file mode 100644
index 0000000000..3dab74dbd7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query56.groovy
@@ -0,0 +1,108 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query56") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_56 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where i_item_id in (select
+     i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -6 
+ group by i_item_id),
+ cs as (
+ select i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -6 
+ group by i_item_id),
+ ws as (
+ select i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from item
+where i_color in ('powder','green','cyan'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 2
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -6
+ group by i_item_id)
+  select  i_item_id ,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_item_id
+ order by total_sales,
+          i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query57.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query57.groovy
new file mode 100644
index 0000000000..7f3c4b6060
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query57.groovy
@@ -0,0 +1,86 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query57") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_57 '''
+    explain shape plan
+
+
+
+with v1 as(
+ select i_category, i_brand,
+        cc_name,
+        d_year, d_moy,
+        sum(cs_sales_price) sum_sales,
+        avg(sum(cs_sales_price)) over
+          (partition by i_category, i_brand,
+                     cc_name, d_year)
+          avg_monthly_sales,
+        rank() over
+          (partition by i_category, i_brand,
+                     cc_name
+           order by d_year, d_moy) rn
+ from item, catalog_sales, date_dim, call_center
+ where cs_item_sk = i_item_sk and
+       cs_sold_date_sk = d_date_sk and
+       cc_call_center_sk= cs_call_center_sk and
+       (
+         d_year = 1999 or
+         ( d_year = 1999-1 and d_moy =12) or
+         ( d_year = 1999+1 and d_moy =1)
+       )
+ group by i_category, i_brand,
+          cc_name , d_year, d_moy),
+ v2 as(
+ select v1.i_brand
+        ,v1.d_year
+        ,v1.avg_monthly_sales
+        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
+ from v1, v1 v1_lag, v1 v1_lead
+ where v1.i_category = v1_lag.i_category and
+       v1.i_category = v1_lead.i_category and
+       v1.i_brand = v1_lag.i_brand and
+       v1.i_brand = v1_lead.i_brand and
+       v1. cc_name = v1_lag. cc_name and
+       v1. cc_name = v1_lead. cc_name and
+       v1.rn = v1_lag.rn + 1 and
+       v1.rn = v1_lead.rn - 1)
+  select  *
+ from v2
+ where  d_year = 1999 and
+        avg_monthly_sales > 0 and
+        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+ order by sum_sales - avg_monthly_sales, nsum
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query58.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query58.groovy
new file mode 100644
index 0000000000..30b9f02589
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query58.groovy
@@ -0,0 +1,104 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query58") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_58 '''
+    explain shape plan
+
+
+
+
+with ss_items as
+ (select i_item_id item_id
+        ,sum(ss_ext_sales_price) ss_item_rev 
+ from store_sales
+     ,item
+     ,date_dim
+ where ss_item_sk = i_item_sk
+   and d_date in (select d_date
+                  from date_dim
+                  where d_week_seq = (select d_week_seq 
+                                      from date_dim
+                                      where d_date = '2001-03-24'))
+   and ss_sold_date_sk   = d_date_sk
+ group by i_item_id),
+ cs_items as
+ (select i_item_id item_id
+        ,sum(cs_ext_sales_price) cs_item_rev
+  from catalog_sales
+      ,item
+      ,date_dim
+ where cs_item_sk = i_item_sk
+  and  d_date in (select d_date
+                  from date_dim
+                  where d_week_seq = (select d_week_seq 
+                                      from date_dim
+                                      where d_date = '2001-03-24'))
+  and  cs_sold_date_sk = d_date_sk
+ group by i_item_id),
+ ws_items as
+ (select i_item_id item_id
+        ,sum(ws_ext_sales_price) ws_item_rev
+  from web_sales
+      ,item
+      ,date_dim
+ where ws_item_sk = i_item_sk
+  and  d_date in (select d_date
+                  from date_dim
+                  where d_week_seq =(select d_week_seq 
+                                     from date_dim
+                                     where d_date = '2001-03-24'))
+  and ws_sold_date_sk   = d_date_sk
+ group by i_item_id)
+  select  ss_items.item_id
+       ,ss_item_rev
+       ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev
+       ,cs_item_rev
+       ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev
+       ,ws_item_rev
+       ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev
+       ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
+ from ss_items,cs_items,ws_items
+ where ss_items.item_id=cs_items.item_id
+   and ss_items.item_id=ws_items.item_id 
+   and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
+   and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
+   and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
+   and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
+   and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
+   and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
+ order by item_id
+         ,ss_item_rev
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query59.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query59.groovy
new file mode 100644
index 0000000000..2dc8125312
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query59.groovy
@@ -0,0 +1,82 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query59") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_59 '''
+    explain shape plan
+
+
+
+with wss as 
+ (select d_week_seq,
+        ss_store_sk,
+        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
+        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from store_sales,date_dim
+ where d_date_sk = ss_sold_date_sk
+ group by d_week_seq,ss_store_sk
+ )
+  select  s_store_name1,s_store_id1,d_week_seq1
+       ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
+       ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
+       ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
+ from
+ (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
+        ,s_store_id s_store_id1,sun_sales sun_sales1
+        ,mon_sales mon_sales1,tue_sales tue_sales1
+        ,wed_sales wed_sales1,thu_sales thu_sales1
+        ,fri_sales fri_sales1,sat_sales sat_sales1
+  from wss,store,date_dim d
+  where d.d_week_seq = wss.d_week_seq and
+        ss_store_sk = s_store_sk and 
+        d_month_seq between 1196 and 1196 + 11) y,
+ (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
+        ,s_store_id s_store_id2,sun_sales sun_sales2
+        ,mon_sales mon_sales2,tue_sales tue_sales2
+        ,wed_sales wed_sales2,thu_sales thu_sales2
+        ,fri_sales fri_sales2,sat_sales sat_sales2
+  from wss,store,date_dim d
+  where d.d_week_seq = wss.d_week_seq and
+        ss_store_sk = s_store_sk and 
+        d_month_seq between 1196+ 12 and 1196 + 23) x
+ where s_store_id1=s_store_id2
+   and d_week_seq1=d_week_seq2-52
+ order by s_store_name1,s_store_id1,d_week_seq1
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query6.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query6.groovy
new file mode 100644
index 0000000000..b076019167
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query6.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query6") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    // TODO: uncomment following line to get better shape 
+    // sql 'set max_join_number_bushy_tree=6'
+
+    qt_ds_shape_6 '''
+    explain shape plan
+
+
+
+
+select  a.ca_state state, count(*) cnt
+ from customer_address a
+     ,customer c
+     ,store_sales s
+     ,date_dim d
+     ,item i
+ where       a.ca_address_sk = c.c_current_addr_sk
+ 	and c.c_customer_sk = s.ss_customer_sk
+ 	and s.ss_sold_date_sk = d.d_date_sk
+ 	and s.ss_item_sk = i.i_item_sk
+ 	and d.d_month_seq = 
+ 	     (select distinct (d_month_seq)
+ 	      from date_dim
+               where d_year = 2002
+ 	        and d_moy = 3 )
+ 	and i.i_current_price > 1.2 * 
+             (select avg(j.i_current_price) 
+ 	     from item j 
+ 	     where j.i_category = i.i_category)
+ group by a.ca_state
+ having count(*) >= 10
+ order by cnt, a.ca_state 
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query60.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query60.groovy
new file mode 100644
index 0000000000..5200d3b4fc
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query60.groovy
@@ -0,0 +1,117 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query60") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_60 '''
+    explain shape plan
+
+
+
+
+with ss as (
+ select
+          i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ 	store_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     ss_item_sk              = i_item_sk
+ and     ss_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     ss_addr_sk              = ca_address_sk
+ and     ca_gmt_offset           = -7 
+ group by i_item_id),
+ cs as (
+ select
+          i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ 	catalog_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     cs_item_sk              = i_item_sk
+ and     cs_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     cs_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -7 
+ group by i_item_id),
+ ws as (
+ select
+          i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ 	web_sales,
+ 	date_dim,
+         customer_address,
+         item
+ where
+         i_item_id               in (select
+  i_item_id
+from
+ item
+where i_category in ('Children'))
+ and     ws_item_sk              = i_item_sk
+ and     ws_sold_date_sk         = d_date_sk
+ and     d_year                  = 2000
+ and     d_moy                   = 8
+ and     ws_bill_addr_sk         = ca_address_sk
+ and     ca_gmt_offset           = -7
+ group by i_item_id)
+  select   
+  i_item_id
+,sum(total_sales) total_sales
+ from  (select * from ss 
+        union all
+        select * from cs 
+        union all
+        select * from ws) tmp1
+ group by i_item_id
+ order by i_item_id
+      ,total_sales
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query61.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query61.groovy
new file mode 100644
index 0000000000..356b0e2e55
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query61.groovy
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query61") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_61 '''
+    explain shape plan
+
+
+
+
+select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
+from
+  (select sum(ss_ext_sales_price) promotions
+   from  store_sales
+        ,store
+        ,promotion
+        ,date_dim
+        ,customer
+        ,customer_address 
+        ,item
+   where ss_sold_date_sk = d_date_sk
+   and   ss_store_sk = s_store_sk
+   and   ss_promo_sk = p_promo_sk
+   and   ss_customer_sk= c_customer_sk
+   and   ca_address_sk = c_current_addr_sk
+   and   ss_item_sk = i_item_sk 
+   and   ca_gmt_offset = -7
+   and   i_category = 'Jewelry'
+   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
+   and   s_gmt_offset = -7
+   and   d_year = 1999
+   and   d_moy  = 11) promotional_sales,
+  (select sum(ss_ext_sales_price) total
+   from  store_sales
+        ,store
+        ,date_dim
+        ,customer
+        ,customer_address
+        ,item
+   where ss_sold_date_sk = d_date_sk
+   and   ss_store_sk = s_store_sk
+   and   ss_customer_sk= c_customer_sk
+   and   ca_address_sk = c_current_addr_sk
+   and   ss_item_sk = i_item_sk
+   and   ca_gmt_offset = -7
+   and   i_category = 'Jewelry'
+   and   s_gmt_offset = -7
+   and   d_year = 1999
+   and   d_moy  = 11) all_sales
+order by promotions, total
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query62.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query62.groovy
new file mode 100644
index 0000000000..3b90426c66
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query62.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query62") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_62 '''
+    explain shape plan
+
+
+
+
+select  
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,web_name
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and 
+                 (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and 
+                 (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
+                 (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   web_sales
+  ,warehouse
+  ,ship_mode
+  ,web_site
+  ,date_dim
+where
+    d_month_seq between 1194 and 1194 + 11
+and ws_ship_date_sk   = d_date_sk
+and ws_warehouse_sk   = w_warehouse_sk
+and ws_ship_mode_sk   = sm_ship_mode_sk
+and ws_web_site_sk    = web_site_sk
+group by
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,web_name
+order by substr(w_warehouse_name,1,20)
+        ,sm_type
+       ,web_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query63.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query63.groovy
new file mode 100644
index 0000000000..7b490b972a
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query63.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query63") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_63 '''
+    explain shape plan
+
+
+
+
+select  * 
+from (select i_manager_id
+             ,sum(ss_sales_price) sum_sales
+             ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
+      from item
+          ,store_sales
+          ,date_dim
+          ,store
+      where ss_item_sk = i_item_sk
+        and ss_sold_date_sk = d_date_sk
+        and ss_store_sk = s_store_sk
+        and d_month_seq in (1181,1181+1,1181+2,1181+3,1181+4,1181+5,1181+6,1181+7,1181+8,1181+9,1181+10,1181+11)
+        and ((    i_category in ('Books','Children','Electronics')
+              and i_class in ('personal','portable','reference','self-help')
+              and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
+		                  'exportiunivamalg #9','scholaramalgamalg #9'))
+           or(    i_category in ('Women','Music','Men')
+              and i_class in ('accessories','classical','fragrances','pants')
+              and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
+		                 'importoamalg #1')))
+group by i_manager_id, d_moy) tmp1
+where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
+order by i_manager_id
+        ,avg_monthly_sales
+        ,sum_sales
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query64.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query64.groovy
new file mode 100644
index 0000000000..8da53b0a62
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query64.groovy
@@ -0,0 +1,158 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query64") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    def ds64 = '''
+ with cs_ui as
+  (select cs_item_sk
+         ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
+   from catalog_sales
+       ,catalog_returns
+   where cs_item_sk = cr_item_sk
+     and cs_order_number = cr_order_number
+   group by cs_item_sk
+   having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
+ cross_sales as
+  (select i_product_name product_name
+      ,i_item_sk item_sk
+      ,s_store_name store_name
+      ,s_zip store_zip
+      ,ad1.ca_street_number b_street_number
+      ,ad1.ca_street_name b_street_name
+      ,ad1.ca_city b_city
+      ,ad1.ca_zip b_zip
+      ,ad2.ca_street_number c_street_number
+      ,ad2.ca_street_name c_street_name
+      ,ad2.ca_city c_city
+      ,ad2.ca_zip c_zip
+      ,d1.d_year as syear
+      ,d2.d_year as fsyear
+      ,d3.d_year s2year
+      ,count(*) cnt
+      ,sum(ss_wholesale_cost) s1
+      ,sum(ss_list_price) s2
+      ,sum(ss_coupon_amt) s3
+   FROM   store_sales
+         ,store_returns
+         ,cs_ui
+         ,date_dim d1
+         ,date_dim d2
+         ,date_dim d3
+         ,store
+         ,customer
+         ,customer_demographics cd1
+         ,customer_demographics cd2
+         ,promotion
+         ,household_demographics hd1
+         ,household_demographics hd2
+         ,customer_address ad1
+         ,customer_address ad2
+         ,income_band ib1
+         ,income_band ib2
+         ,item
+   WHERE  ss_store_sk = s_store_sk AND
+          ss_sold_date_sk = d1.d_date_sk AND
+          ss_customer_sk = c_customer_sk AND
+          ss_cdemo_sk= cd1.cd_demo_sk AND
+          ss_hdemo_sk = hd1.hd_demo_sk AND
+          ss_addr_sk = ad1.ca_address_sk and
+          ss_item_sk = i_item_sk and
+          ss_item_sk = sr_item_sk and
+          ss_ticket_number = sr_ticket_number and
+          ss_item_sk = cs_ui.cs_item_sk and
+          c_current_cdemo_sk = cd2.cd_demo_sk AND
+          c_current_hdemo_sk = hd2.hd_demo_sk AND
+          c_current_addr_sk = ad2.ca_address_sk and
+          c_first_sales_date_sk = d2.d_date_sk and
+          c_first_shipto_date_sk = d3.d_date_sk and
+          ss_promo_sk = p_promo_sk and
+          hd1.hd_income_band_sk = ib1.ib_income_band_sk and
+          hd2.hd_income_band_sk = ib2.ib_income_band_sk and
+          cd1.cd_marital_status <> cd2.cd_marital_status and
+          i_color in ('blanched','medium','brown','chocolate','burlywood','drab') and
+          i_current_price between 23 and 23 + 10 and
+          i_current_price between 23 + 1 and 23 + 15
+ group by i_product_name
+        ,i_item_sk
+        ,s_store_name
+        ,s_zip
+        ,ad1.ca_street_number
+        ,ad1.ca_street_name
+        ,ad1.ca_city
+        ,ad1.ca_zip
+        ,ad2.ca_street_number
+        ,ad2.ca_street_name
+        ,ad2.ca_city
+        ,ad2.ca_zip
+        ,d1.d_year
+        ,d2.d_year
+        ,d3.d_year
+ )
+ select cs1.product_name
+      ,cs1.store_name
+      ,cs1.store_zip
+      ,cs1.b_street_number
+      ,cs1.b_street_name
+      ,cs1.b_city
+      ,cs1.b_zip
+      ,cs1.c_street_number
+      ,cs1.c_street_name
+      ,cs1.c_city
+      ,cs1.c_zip
+      ,cs1.syear
+      ,cs1.cnt
+      ,cs1.s1 as s11
+      ,cs1.s2 as s21
+      ,cs1.s3 as s31
+      ,cs2.s1 as s12
+      ,cs2.s2 as s22
+      ,cs2.s3 as s32
+      ,cs2.syear
+      ,cs2.cnt
+ from cross_sales cs1,cross_sales cs2
+ where cs1.item_sk=cs2.item_sk and
+      cs1.syear = 2001 and
+      cs2.syear = 2001 + 1 and
+      cs2.cnt <= cs1.cnt and
+      cs1.store_name = cs2.store_name and
+      cs1.store_zip = cs2.store_zip
+ order by cs1.product_name
+        ,cs1.store_name
+        ,cs2.cnt
+        ,cs1.s1
+        ,cs2.s1;
+
+    '''
+
+   qt_ds_shape_64 'explain shape plan ' + ds64
+
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query65.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query65.groovy
new file mode 100644
index 0000000000..6cb89c6440
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query65.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query65") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_65 '''
+    explain shape plan
+
+
+
+
+select 
+	s_store_name,
+	i_item_desc,
+	sc.revenue,
+	i_current_price,
+	i_wholesale_cost,
+	i_brand
+ from store, item,
+     (select ss_store_sk, avg(revenue) as ave
+ 	from
+ 	    (select  ss_store_sk, ss_item_sk, 
+ 		     sum(ss_sales_price) as revenue
+ 		from store_sales, date_dim
+ 		where ss_sold_date_sk = d_date_sk and d_month_seq between 1221 and 1221+11
+ 		group by ss_store_sk, ss_item_sk) sa
+ 	group by ss_store_sk) sb,
+     (select  ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue
+ 	from store_sales, date_dim
+ 	where ss_sold_date_sk = d_date_sk and d_month_seq between 1221 and 1221+11
+ 	group by ss_store_sk, ss_item_sk) sc
+ where sb.ss_store_sk = sc.ss_store_sk and 
+       sc.revenue <= 0.1 * sb.ave and
+       s_store_sk = sc.ss_store_sk and
+       i_item_sk = sc.ss_item_sk
+ order by s_store_name, i_item_desc
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query66.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query66.groovy
new file mode 100644
index 0000000000..59b09fbed1
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query66.groovy
@@ -0,0 +1,259 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query66") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_66 '''
+    explain shape plan
+
+
+
+
+select   
+         w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+        ,ship_carriers
+        ,year
+ 	,sum(jan_sales) as jan_sales
+ 	,sum(feb_sales) as feb_sales
+ 	,sum(mar_sales) as mar_sales
+ 	,sum(apr_sales) as apr_sales
+ 	,sum(may_sales) as may_sales
+ 	,sum(jun_sales) as jun_sales
+ 	,sum(jul_sales) as jul_sales
+ 	,sum(aug_sales) as aug_sales
+ 	,sum(sep_sales) as sep_sales
+ 	,sum(oct_sales) as oct_sales
+ 	,sum(nov_sales) as nov_sales
+ 	,sum(dec_sales) as dec_sales
+ 	,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
+ 	,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
+ 	,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
+ 	,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
+ 	,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
+ 	,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
+ 	,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
+ 	,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
+ 	,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
+ 	,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
+ 	,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
+ 	,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
+ 	,sum(jan_net) as jan_net
+ 	,sum(feb_net) as feb_net
+ 	,sum(mar_net) as mar_net
+ 	,sum(apr_net) as apr_net
+ 	,sum(may_net) as may_net
+ 	,sum(jun_net) as jun_net
+ 	,sum(jul_net) as jul_net
+ 	,sum(aug_net) as aug_net
+ 	,sum(sep_net) as sep_net
+ 	,sum(oct_net) as oct_net
+ 	,sum(nov_net) as nov_net
+ 	,sum(dec_net) as dec_net
+ from (
+     select 
+ 	w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,concat(concat('GREAT EASTERN ', ','), ' LATVIAN') as ship_carriers
+       ,d_year as year
+ 	,sum(case when d_moy = 1 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jan_sales
+ 	,sum(case when d_moy = 2 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as feb_sales
+ 	,sum(case when d_moy = 3 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as mar_sales
+ 	,sum(case when d_moy = 4 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as apr_sales
+ 	,sum(case when d_moy = 5 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as may_sales
+ 	,sum(case when d_moy = 6 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jun_sales
+ 	,sum(case when d_moy = 7 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as jul_sales
+ 	,sum(case when d_moy = 8 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as aug_sales
+ 	,sum(case when d_moy = 9 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as sep_sales
+ 	,sum(case when d_moy = 10 
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as oct_sales
+ 	,sum(case when d_moy = 11
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as nov_sales
+ 	,sum(case when d_moy = 12
+ 		then ws_ext_sales_price* ws_quantity else 0 end) as dec_sales
+ 	,sum(case when d_moy = 1 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jan_net
+ 	,sum(case when d_moy = 2
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as feb_net
+ 	,sum(case when d_moy = 3 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as mar_net
+ 	,sum(case when d_moy = 4 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as apr_net
+ 	,sum(case when d_moy = 5 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as may_net
+ 	,sum(case when d_moy = 6 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jun_net
+ 	,sum(case when d_moy = 7 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jul_net
+ 	,sum(case when d_moy = 8 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as aug_net
+ 	,sum(case when d_moy = 9 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as sep_net
+ 	,sum(case when d_moy = 10 
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as oct_net
+ 	,sum(case when d_moy = 11
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as nov_net
+ 	,sum(case when d_moy = 12
+ 		then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as dec_net
+     from
+          web_sales
+         ,warehouse
+         ,date_dim
+         ,time_dim
+ 	  ,ship_mode
+     where
+            ws_warehouse_sk =  w_warehouse_sk
+        and ws_sold_date_sk = d_date_sk
+        and ws_sold_time_sk = t_time_sk
+ 	and ws_ship_mode_sk = sm_ship_mode_sk
+        and d_year = 1998
+ 	and t_time between 48821 and 48821+28800 
+ 	and sm_carrier in ('GREAT EASTERN','LATVIAN')
+     group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+       ,d_year
+ union all
+     select 
+ 	w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,concat(concat('GREAT EASTERN ', ','), ' LATVIAN') as ship_carriers
+       ,d_year as year
+ 	,sum(case when d_moy = 1 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jan_sales
+ 	,sum(case when d_moy = 2 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as feb_sales
+ 	,sum(case when d_moy = 3 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as mar_sales
+ 	,sum(case when d_moy = 4 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as apr_sales
+ 	,sum(case when d_moy = 5 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as may_sales
+ 	,sum(case when d_moy = 6 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jun_sales
+ 	,sum(case when d_moy = 7 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as jul_sales
+ 	,sum(case when d_moy = 8 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as aug_sales
+ 	,sum(case when d_moy = 9 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as sep_sales
+ 	,sum(case when d_moy = 10 
+ 		then cs_ext_list_price* cs_quantity else 0 end) as oct_sales
+ 	,sum(case when d_moy = 11
+ 		then cs_ext_list_price* cs_quantity else 0 end) as nov_sales
+ 	,sum(case when d_moy = 12
+ 		then cs_ext_list_price* cs_quantity else 0 end) as dec_sales
+ 	,sum(case when d_moy = 1 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net
+ 	,sum(case when d_moy = 2 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net
+ 	,sum(case when d_moy = 3 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net
+ 	,sum(case when d_moy = 4 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net
+ 	,sum(case when d_moy = 5 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net
+ 	,sum(case when d_moy = 6 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net
+ 	,sum(case when d_moy = 7 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net
+ 	,sum(case when d_moy = 8 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net
+ 	,sum(case when d_moy = 9 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net
+ 	,sum(case when d_moy = 10 
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net
+ 	,sum(case when d_moy = 11
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net
+ 	,sum(case when d_moy = 12
+ 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net
+     from
+          catalog_sales
+         ,warehouse
+         ,date_dim
+         ,time_dim
+ 	 ,ship_mode
+     where
+            cs_warehouse_sk =  w_warehouse_sk
+        and cs_sold_date_sk = d_date_sk
+        and cs_sold_time_sk = t_time_sk
+ 	and cs_ship_mode_sk = sm_ship_mode_sk
+        and d_year = 1998
+ 	and t_time between 48821 AND 48821+28800 
+ 	and sm_carrier in ('GREAT EASTERN','LATVIAN')
+     group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+       ,d_year
+ ) x
+ group by 
+        w_warehouse_name
+ 	,w_warehouse_sq_ft
+ 	,w_city
+ 	,w_county
+ 	,w_state
+ 	,w_country
+ 	,ship_carriers
+       ,year
+ order by w_warehouse_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query67.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query67.groovy
new file mode 100644
index 0000000000..44cebfe9d9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query67.groovy
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query67") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_67 '''
+    explain shape plan
+
+
+
+
+select  *
+from (select i_category
+            ,i_class
+            ,i_brand
+            ,i_product_name
+            ,d_year
+            ,d_qoy
+            ,d_moy
+            ,s_store_id
+            ,sumsales
+            ,rank() over (partition by i_category order by sumsales desc) rk
+      from (select i_category
+                  ,i_class
+                  ,i_brand
+                  ,i_product_name
+                  ,d_year
+                  ,d_qoy
+                  ,d_moy
+                  ,s_store_id
+                  ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales
+            from store_sales
+                ,date_dim
+                ,store
+                ,item
+       where  ss_sold_date_sk=d_date_sk
+          and ss_item_sk=i_item_sk
+          and ss_store_sk = s_store_sk
+          and d_month_seq between 1206 and 1206+11
+       group by  rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2
+where rk <= 100
+order by i_category
+        ,i_class
+        ,i_brand
+        ,i_product_name
+        ,d_year
+        ,d_qoy
+        ,d_moy
+        ,s_store_id
+        ,sumsales
+        ,rk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query68.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query68.groovy
new file mode 100644
index 0000000000..7d19e5bb83
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query68.groovy
@@ -0,0 +1,81 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query68") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_68 '''
+    explain shape plan
+
+
+
+
+select  c_last_name
+       ,c_first_name
+       ,ca_city
+       ,bought_city
+       ,ss_ticket_number
+       ,extended_price
+       ,extended_tax
+       ,list_price
+ from (select ss_ticket_number
+             ,ss_customer_sk
+             ,ca_city bought_city
+             ,sum(ss_ext_sales_price) extended_price 
+             ,sum(ss_ext_list_price) list_price
+             ,sum(ss_ext_tax) extended_tax 
+       from store_sales
+           ,date_dim
+           ,store
+           ,household_demographics
+           ,customer_address 
+       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+         and store_sales.ss_store_sk = store.s_store_sk  
+        and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+        and store_sales.ss_addr_sk = customer_address.ca_address_sk
+        and date_dim.d_dom between 1 and 2 
+        and (household_demographics.hd_dep_count = 8 or
+             household_demographics.hd_vehicle_count= -1)
+        and date_dim.d_year in (1998,1998+1,1998+2)
+        and store.s_city in ('Pleasant Hill','Five Points')
+       group by ss_ticket_number
+               ,ss_customer_sk
+               ,ss_addr_sk,ca_city) dn
+      ,customer
+      ,customer_address current_addr
+ where ss_customer_sk = c_customer_sk
+   and customer.c_current_addr_sk = current_addr.ca_address_sk
+   and current_addr.ca_city <> bought_city
+ order by c_last_name
+         ,ss_ticket_number
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query69.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query69.groovy
new file mode 100644
index 0000000000..8430472077
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query69.groovy
@@ -0,0 +1,86 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query69") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_69 '''
+    explain shape plan
+
+
+
+
+select  
+  cd_gender,
+  cd_marital_status,
+  cd_education_status,
+  count(*) cnt1,
+  cd_purchase_estimate,
+  count(*) cnt2,
+  cd_credit_rating,
+  count(*) cnt3
+ from
+  customer c,customer_address ca,customer_demographics
+ where
+  c.c_current_addr_sk = ca.ca_address_sk and
+  ca_state in ('TX','VA','MI') and
+  cd_demo_sk = c.c_current_cdemo_sk and 
+  exists (select *
+          from store_sales,date_dim
+          where c.c_customer_sk = ss_customer_sk and
+                ss_sold_date_sk = d_date_sk and
+                d_year = 2000 and
+                d_moy between 1 and 1+2) and
+   (not exists (select *
+            from web_sales,date_dim
+            where c.c_customer_sk = ws_bill_customer_sk and
+                  ws_sold_date_sk = d_date_sk and
+                  d_year = 2000 and
+                  d_moy between 1 and 1+2) and
+    not exists (select * 
+            from catalog_sales,date_dim
+            where c.c_customer_sk = cs_ship_customer_sk and
+                  cs_sold_date_sk = d_date_sk and
+                  d_year = 2000 and
+                  d_moy between 1 and 1+2))
+ group by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating
+ order by cd_gender,
+          cd_marital_status,
+          cd_education_status,
+          cd_purchase_estimate,
+          cd_credit_rating
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query7.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query7.groovy
new file mode 100644
index 0000000000..ba22eb82c7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query7.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query7") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_7 '''
+    explain shape plan
+
+
+
+
+select  i_item_id, 
+        avg(ss_quantity) agg1,
+        avg(ss_list_price) agg2,
+        avg(ss_coupon_amt) agg3,
+        avg(ss_sales_price) agg4 
+ from store_sales, customer_demographics, date_dim, item, promotion
+ where ss_sold_date_sk = d_date_sk and
+       ss_item_sk = i_item_sk and
+       ss_cdemo_sk = cd_demo_sk and
+       ss_promo_sk = p_promo_sk and
+       cd_gender = 'F' and 
+       cd_marital_status = 'W' and
+       cd_education_status = 'College' and
+       (p_channel_email = 'N' or p_channel_event = 'N') and
+       d_year = 2001 
+ group by i_item_id
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query70.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query70.groovy
new file mode 100644
index 0000000000..9c937ef3c9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query70.groovy
@@ -0,0 +1,77 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query70") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_70 '''
+    explain shape plan
+
+
+
+
+select  
+    sum(ss_net_profit) as total_sum
+   ,s_state
+   ,s_county
+   ,grouping(s_state)+grouping(s_county) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(s_state)+grouping(s_county),
+ 	case when grouping(s_county) = 0 then s_state end 
+ 	order by sum(ss_net_profit) desc) as rank_within_parent
+ from
+    store_sales
+   ,date_dim       d1
+   ,store
+ where
+    d1.d_month_seq between 1213 and 1213+11
+ and d1.d_date_sk = ss_sold_date_sk
+ and s_store_sk  = ss_store_sk
+ and s_state in
+             ( select s_state
+               from  (select s_state as s_state,
+ 			    rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
+                      from   store_sales, store, date_dim
+                      where  d_month_seq between 1213 and 1213+11
+ 			    and d_date_sk = ss_sold_date_sk
+ 			    and s_store_sk  = ss_store_sk
+                      group by s_state
+                     ) tmp1 
+               where ranking <= 5
+             )
+ group by rollup(s_state,s_county)
+ order by
+   lochierarchy desc
+  ,case when lochierarchy = 0 then s_state end
+  ,rank_within_parent
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query71.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query71.groovy
new file mode 100644
index 0000000000..c49a18f8e9
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query71.groovy
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query71") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_71 '''
+    explain shape plan
+
+
+
+
+select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
+ 	sum(ext_price) ext_price
+ from item, (select ws_ext_sales_price as ext_price, 
+                        ws_sold_date_sk as sold_date_sk,
+                        ws_item_sk as sold_item_sk,
+                        ws_sold_time_sk as time_sk  
+                 from web_sales,date_dim
+                 where d_date_sk = ws_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 union all
+                 select cs_ext_sales_price as ext_price,
+                        cs_sold_date_sk as sold_date_sk,
+                        cs_item_sk as sold_item_sk,
+                        cs_sold_time_sk as time_sk
+                 from catalog_sales,date_dim
+                 where d_date_sk = cs_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 union all
+                 select ss_ext_sales_price as ext_price,
+                        ss_sold_date_sk as sold_date_sk,
+                        ss_item_sk as sold_item_sk,
+                        ss_sold_time_sk as time_sk
+                 from store_sales,date_dim
+                 where d_date_sk = ss_sold_date_sk
+                   and d_moy=12
+                   and d_year=1998
+                 ) tmp,time_dim
+ where
+   sold_item_sk = i_item_sk
+   and i_manager_id=1
+   and time_sk = t_time_sk
+   and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
+ group by i_brand, i_brand_id,t_hour,t_minute
+ order by ext_price desc, i_brand_id
+ ;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query72.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query72.groovy
new file mode 100644
index 0000000000..7c8099b331
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query72.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query72") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_72 '''
+    explain shape plan
+
+
+
+
+select  i_item_desc
+      ,w_warehouse_name
+      ,d1.d_week_seq
+      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
+      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
+      ,count(*) total_cnt
+from catalog_sales
+join inventory on (cs_item_sk = inv_item_sk)
+join warehouse on (w_warehouse_sk=inv_warehouse_sk)
+join item on (i_item_sk = cs_item_sk)
+join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
+join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
+join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
+join date_dim d2 on (inv_date_sk = d2.d_date_sk)
+join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
+left outer join promotion on (cs_promo_sk=p_promo_sk)
+left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
+where d1.d_week_seq = d2.d_week_seq
+  and inv_quantity_on_hand < cs_quantity 
+  and d3.d_date > d1.d_date + 5
+  and hd_buy_potential = '501-1000'
+  and d1.d_year = 2002
+  and cd_marital_status = 'W'
+group by i_item_desc,w_warehouse_name,d1.d_week_seq
+order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query73.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query73.groovy
new file mode 100644
index 0000000000..1300724d1e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query73.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query73") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_73 '''
+    explain shape plan
+
+
+
+
+select c_last_name
+       ,c_first_name
+       ,c_salutation
+       ,c_preferred_cust_flag 
+       ,ss_ticket_number
+       ,cnt from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,count(*) cnt
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and date_dim.d_dom between 1 and 2 
+    and (household_demographics.hd_buy_potential = '501-1000' or
+         household_demographics.hd_buy_potential = 'Unknown')
+    and household_demographics.hd_vehicle_count > 0
+    and case when household_demographics.hd_vehicle_count > 0 then 
+             household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
+    and date_dim.d_year in (2000,2000+1,2000+2)
+    and store.s_county in ('Fairfield County','Walker County','Daviess County','Barrow County')
+    group by ss_ticket_number,ss_customer_sk) dj,customer
+    where ss_customer_sk = c_customer_sk
+      and cnt between 1 and 5
+    order by cnt desc, c_last_name asc;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query74.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query74.groovy
new file mode 100644
index 0000000000..f9a79b6c6f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query74.groovy
@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query74") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_74 '''
+    explain shape plan
+
+
+
+with year_total as (
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,d_year as year
+       ,stddev_samp(ss_net_paid) year_total
+       ,'s' sale_type
+ from customer
+     ,store_sales
+     ,date_dim
+ where c_customer_sk = ss_customer_sk
+   and ss_sold_date_sk = d_date_sk
+   and d_year in (1999,1999+1)
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,d_year
+ union all
+ select c_customer_id customer_id
+       ,c_first_name customer_first_name
+       ,c_last_name customer_last_name
+       ,d_year as year
+       ,stddev_samp(ws_net_paid) year_total
+       ,'w' sale_type
+ from customer
+     ,web_sales
+     ,date_dim
+ where c_customer_sk = ws_bill_customer_sk
+   and ws_sold_date_sk = d_date_sk
+   and d_year in (1999,1999+1)
+ group by c_customer_id
+         ,c_first_name
+         ,c_last_name
+         ,d_year
+         )
+  select 
+        t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
+ from year_total t_s_firstyear
+     ,year_total t_s_secyear
+     ,year_total t_w_firstyear
+     ,year_total t_w_secyear
+ where t_s_secyear.customer_id = t_s_firstyear.customer_id
+         and t_s_firstyear.customer_id = t_w_secyear.customer_id
+         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
+         and t_s_firstyear.sale_type = 's'
+         and t_w_firstyear.sale_type = 'w'
+         and t_s_secyear.sale_type = 's'
+         and t_w_secyear.sale_type = 'w'
+         and t_s_firstyear.year = 1999
+         and t_s_secyear.year = 1999+1
+         and t_w_firstyear.year = 1999
+         and t_w_secyear.year = 1999+1
+         and t_s_firstyear.year_total > 0
+         and t_w_firstyear.year_total > 0
+         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
+           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
+ order by 2,1,3
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query75.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query75.groovy
new file mode 100644
index 0000000000..fb1cc8b7fd
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query75.groovy
@@ -0,0 +1,109 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query75") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_75 '''
+    explain shape plan
+
+
+
+
+WITH all_sales AS (
+ SELECT d_year
+       ,i_brand_id
+       ,i_class_id
+       ,i_category_id
+       ,i_manufact_id
+       ,SUM(sales_cnt) AS sales_cnt
+       ,SUM(sales_amt) AS sales_amt
+ FROM (SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt
+             ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
+       FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk
+                          JOIN date_dim ON d_date_sk=cs_sold_date_sk
+                          LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number 
+                                                    AND cs_item_sk=cr_item_sk)
+       WHERE i_category='Home'
+       UNION
+       SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt
+             ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt
+       FROM store_sales JOIN item ON i_item_sk=ss_item_sk
+                        JOIN date_dim ON d_date_sk=ss_sold_date_sk
+                        LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number 
+                                                AND ss_item_sk=sr_item_sk)
+       WHERE i_category='Home'
+       UNION
+       SELECT d_year
+             ,i_brand_id
+             ,i_class_id
+             ,i_category_id
+             ,i_manufact_id
+             ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt
+             ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt
+       FROM web_sales JOIN item ON i_item_sk=ws_item_sk
+                      JOIN date_dim ON d_date_sk=ws_sold_date_sk
+                      LEFT JOIN web_returns ON (ws_order_number=wr_order_number 
+                                            AND ws_item_sk=wr_item_sk)
+       WHERE i_category='Home') sales_detail
+ GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
+ SELECT  prev_yr.d_year AS prev_year
+                          ,curr_yr.d_year AS year
+                          ,curr_yr.i_brand_id
+                          ,curr_yr.i_class_id
+                          ,curr_yr.i_category_id
+                          ,curr_yr.i_manufact_id
+                          ,prev_yr.sales_cnt AS prev_yr_cnt
+                          ,curr_yr.sales_cnt AS curr_yr_cnt
+                          ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff
+                          ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
+ FROM all_sales curr_yr, all_sales prev_yr
+ WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
+   AND curr_yr.i_class_id=prev_yr.i_class_id
+   AND curr_yr.i_category_id=prev_yr.i_category_id
+   AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
+   AND curr_yr.d_year=1999
+   AND prev_yr.d_year=1999-1
+   AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9
+ ORDER BY sales_cnt_diff,sales_amt_diff
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query76.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query76.groovy
new file mode 100644
index 0000000000..98950cc63f
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query76.groovy
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query76") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_76 '''
+    explain shape plan
+
+
+
+
+select  channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
+        SELECT 'store' as channel, 'ss_hdemo_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
+         FROM store_sales, item, date_dim
+         WHERE ss_hdemo_sk IS NULL
+           AND ss_sold_date_sk=d_date_sk
+           AND ss_item_sk=i_item_sk
+        UNION ALL
+        SELECT 'web' as channel, 'ws_bill_addr_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price
+         FROM web_sales, item, date_dim
+         WHERE ws_bill_addr_sk IS NULL
+           AND ws_sold_date_sk=d_date_sk
+           AND ws_item_sk=i_item_sk
+        UNION ALL
+        SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price
+         FROM catalog_sales, item, date_dim
+         WHERE cs_warehouse_sk IS NULL
+           AND cs_sold_date_sk=d_date_sk
+           AND cs_item_sk=i_item_sk) foo
+GROUP BY channel, col_name, d_year, d_qoy, i_category
+ORDER BY channel, col_name, d_year, d_qoy, i_category
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query77.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query77.groovy
new file mode 100644
index 0000000000..0e289e3225
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query77.groovy
@@ -0,0 +1,147 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query77") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_77 '''
+    explain shape plan
+
+
+
+
+with ss as
+ (select s_store_sk,
+         sum(ss_ext_sales_price) as sales,
+         sum(ss_net_profit) as profit
+ from store_sales,
+      date_dim,
+      store
+ where ss_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date) 
+                  and (cast('1998-08-05' as date) +  interval 30 day) 
+       and ss_store_sk = s_store_sk
+ group by s_store_sk)
+ ,
+ sr as
+ (select s_store_sk,
+         sum(sr_return_amt) as returns,
+         sum(sr_net_loss) as profit_loss
+ from store_returns,
+      date_dim,
+      store
+ where sr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and sr_store_sk = s_store_sk
+ group by s_store_sk), 
+ cs as
+ (select cs_call_center_sk,
+        sum(cs_ext_sales_price) as sales,
+        sum(cs_net_profit) as profit
+ from catalog_sales,
+      date_dim
+ where cs_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+ group by cs_call_center_sk 
+ ), 
+ cr as
+ (select cr_call_center_sk,
+         sum(cr_return_amount) as returns,
+         sum(cr_net_loss) as profit_loss
+ from catalog_returns,
+      date_dim
+ where cr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+ group by cr_call_center_sk
+ ), 
+ ws as
+ ( select wp_web_page_sk,
+        sum(ws_ext_sales_price) as sales,
+        sum(ws_net_profit) as profit
+ from web_sales,
+      date_dim,
+      web_page
+ where ws_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and ws_web_page_sk = wp_web_page_sk
+ group by wp_web_page_sk), 
+ wr as
+ (select wp_web_page_sk,
+        sum(wr_return_amt) as returns,
+        sum(wr_net_loss) as profit_loss
+ from web_returns,
+      date_dim,
+      web_page
+ where wr_returned_date_sk = d_date_sk
+       and d_date between cast('1998-08-05' as date)
+                  and (cast('1998-08-05' as date) +  interval 30 day)
+       and wr_web_page_sk = wp_web_page_sk
+ group by wp_web_page_sk)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , ss.s_store_sk as id
+        , sales
+        , coalesce(returns, 0) as returns
+        , (profit - coalesce(profit_loss,0)) as profit
+ from   ss left join sr
+        on  ss.s_store_sk = sr.s_store_sk
+ union all
+ select 'catalog channel' as channel
+        , cs_call_center_sk as id
+        , sales
+        , returns
+        , (profit - profit_loss) as profit
+ from  cs
+       , cr
+ union all
+ select 'web channel' as channel
+        , ws.wp_web_page_sk as id
+        , sales
+        , coalesce(returns, 0) returns
+        , (profit - coalesce(profit_loss,0)) as profit
+ from   ws left join wr
+        on  ws.wp_web_page_sk = wr.wp_web_page_sk
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query78.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query78.groovy
new file mode 100644
index 0000000000..5bd6834367
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query78.groovy
@@ -0,0 +1,97 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query78") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_78 '''
+    explain shape plan
+
+
+
+
+with ws as
+  (select d_year AS ws_sold_year, ws_item_sk,
+    ws_bill_customer_sk ws_customer_sk,
+    sum(ws_quantity) ws_qty,
+    sum(ws_wholesale_cost) ws_wc,
+    sum(ws_sales_price) ws_sp
+   from web_sales
+   left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk
+   join date_dim on ws_sold_date_sk = d_date_sk
+   where wr_order_number is null
+   group by d_year, ws_item_sk, ws_bill_customer_sk
+   ),
+cs as
+  (select d_year AS cs_sold_year, cs_item_sk,
+    cs_bill_customer_sk cs_customer_sk,
+    sum(cs_quantity) cs_qty,
+    sum(cs_wholesale_cost) cs_wc,
+    sum(cs_sales_price) cs_sp
+   from catalog_sales
+   left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk
+   join date_dim on cs_sold_date_sk = d_date_sk
+   where cr_order_number is null
+   group by d_year, cs_item_sk, cs_bill_customer_sk
+   ),
+ss as
+  (select d_year AS ss_sold_year, ss_item_sk,
+    ss_customer_sk,
+    sum(ss_quantity) ss_qty,
+    sum(ss_wholesale_cost) ss_wc,
+    sum(ss_sales_price) ss_sp
+   from store_sales
+   left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk
+   join date_dim on ss_sold_date_sk = d_date_sk
+   where sr_ticket_number is null
+   group by d_year, ss_item_sk, ss_customer_sk
+   )
+ select 
+ss_item_sk,
+round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio,
+ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price,
+coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,
+coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,
+coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price
+from ss
+left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk)
+left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=ss_item_sk and cs_customer_sk=ss_customer_sk)
+where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2000
+order by 
+  ss_item_sk,
+  ss_qty desc, ss_wc desc, ss_sp desc,
+  other_chan_qty,
+  other_chan_wholesale_cost,
+  other_chan_sales_price,
+  ratio
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query79.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query79.groovy
new file mode 100644
index 0000000000..9b6a5b669b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query79.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query79") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_79 '''
+    explain shape plan
+
+
+
+
+select 
+  c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
+  from
+   (select ss_ticket_number
+          ,ss_customer_sk
+          ,store.s_city
+          ,sum(ss_coupon_amt) amt
+          ,sum(ss_net_profit) profit
+    from store_sales,date_dim,store,household_demographics
+    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+    and store_sales.ss_store_sk = store.s_store_sk  
+    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
+    and (household_demographics.hd_dep_count = 5 or household_demographics.hd_vehicle_count > 4)
+    and date_dim.d_dow = 1
+    and date_dim.d_year in (1998,1998+1,1998+2) 
+    and store.s_number_employees between 200 and 295
+    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,store.s_city) ms,customer
+    where ss_customer_sk = c_customer_sk
+ order by c_last_name,c_first_name,substr(s_city,1,30), profit
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query8.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query8.groovy
new file mode 100644
index 0000000000..78e8c39f6c
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query8.groovy
@@ -0,0 +1,147 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query8") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_8 '''
+    explain shape plan
+
+
+
+
+select  s_store_name
+      ,sum(ss_net_profit)
+ from store_sales
+     ,date_dim
+     ,store,
+     (select ca_zip
+     from (
+      SELECT substr(ca_zip,1,5) ca_zip
+      FROM customer_address
+      WHERE substr(ca_zip,1,5) IN (
+                          '47602','16704','35863','28577','83910','36201',
+                          '58412','48162','28055','41419','80332',
+                          '38607','77817','24891','16226','18410',
+                          '21231','59345','13918','51089','20317',
+                          '17167','54585','67881','78366','47770',
+                          '18360','51717','73108','14440','21800',
+                          '89338','45859','65501','34948','25973',
+                          '73219','25333','17291','10374','18829',
+                          '60736','82620','41351','52094','19326',
+                          '25214','54207','40936','21814','79077',
+                          '25178','75742','77454','30621','89193',
+                          '27369','41232','48567','83041','71948',
+                          '37119','68341','14073','16891','62878',
+                          '49130','19833','24286','27700','40979',
+                          '50412','81504','94835','84844','71954',
+                          '39503','57649','18434','24987','12350',
+                          '86379','27413','44529','98569','16515',
+                          '27287','24255','21094','16005','56436',
+                          '91110','68293','56455','54558','10298',
+                          '83647','32754','27052','51766','19444',
+                          '13869','45645','94791','57631','20712',
+                          '37788','41807','46507','21727','71836',
+                          '81070','50632','88086','63991','20244',
+                          '31655','51782','29818','63792','68605',
+                          '94898','36430','57025','20601','82080',
+                          '33869','22728','35834','29086','92645',
+                          '98584','98072','11652','78093','57553',
+                          '43830','71144','53565','18700','90209',
+                          '71256','38353','54364','28571','96560',
+                          '57839','56355','50679','45266','84680',
+                          '34306','34972','48530','30106','15371',
+                          '92380','84247','92292','68852','13338',
+                          '34594','82602','70073','98069','85066',
+                          '47289','11686','98862','26217','47529',
+                          '63294','51793','35926','24227','14196',
+                          '24594','32489','99060','49472','43432',
+                          '49211','14312','88137','47369','56877',
+                          '20534','81755','15794','12318','21060',
+                          '73134','41255','63073','81003','73873',
+                          '66057','51184','51195','45676','92696',
+                          '70450','90669','98338','25264','38919',
+                          '59226','58581','60298','17895','19489',
+                          '52301','80846','95464','68770','51634',
+                          '19988','18367','18421','11618','67975',
+                          '25494','41352','95430','15734','62585',
+                          '97173','33773','10425','75675','53535',
+                          '17879','41967','12197','67998','79658',
+                          '59130','72592','14851','43933','68101',
+                          '50636','25717','71286','24660','58058',
+                          '72991','95042','15543','33122','69280',
+                          '11912','59386','27642','65177','17672',
+                          '33467','64592','36335','54010','18767',
+                          '63193','42361','49254','33113','33159',
+                          '36479','59080','11855','81963','31016',
+                          '49140','29392','41836','32958','53163',
+                          '13844','73146','23952','65148','93498',
+                          '14530','46131','58454','13376','13378',
+                          '83986','12320','17193','59852','46081',
+                          '98533','52389','13086','68843','31013',
+                          '13261','60560','13443','45533','83583',
+                          '11489','58218','19753','22911','25115',
+                          '86709','27156','32669','13123','51933',
+                          '39214','41331','66943','14155','69998',
+                          '49101','70070','35076','14242','73021',
+                          '59494','15782','29752','37914','74686',
+                          '83086','34473','15751','81084','49230',
+                          '91894','60624','17819','28810','63180',
+                          '56224','39459','55233','75752','43639',
+                          '55349','86057','62361','50788','31830',
+                          '58062','18218','85761','60083','45484',
+                          '21204','90229','70041','41162','35390',
+                          '16364','39500','68908','26689','52868',
+                          '81335','40146','11340','61527','61794',
+                          '71997','30415','59004','29450','58117',
+                          '69952','33562','83833','27385','61860',
+                          '96435','48333','23065','32961','84919',
+                          '61997','99132','22815','56600','68730',
+                          '48017','95694','32919','88217','27116',
+                          '28239','58032','18884','16791','21343',
+                          '97462','18569','75660','15475')
+     intersect
+      select ca_zip
+      from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt
+            FROM customer_address, customer
+            WHERE ca_address_sk = c_current_addr_sk and
+                  c_preferred_cust_flag='Y'
+            group by ca_zip
+            having count(*) > 10)A1)A2) V1
+ where ss_store_sk = s_store_sk
+  and ss_sold_date_sk = d_date_sk
+  and d_qoy = 2 and d_year = 1998
+  and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))
+ group by s_store_name
+ order by s_store_name
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query80.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query80.groovy
new file mode 100644
index 0000000000..35e875eac5
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query80.groovy
@@ -0,0 +1,135 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query80") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_80 '''
+    explain shape plan
+
+
+
+
+with ssr as
+ (select  s_store_id as store_id,
+          sum(ss_ext_sales_price) as sales,
+          sum(coalesce(sr_return_amt, 0)) as returns,
+          sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit
+  from store_sales left outer join store_returns on
+         (ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number),
+     date_dim,
+     store,
+     item,
+     promotion
+ where ss_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date) 
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+       and ss_store_sk = s_store_sk
+       and ss_item_sk = i_item_sk
+       and i_current_price > 50
+       and ss_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+ group by s_store_id)
+ ,
+ csr as
+ (select  cp_catalog_page_id as catalog_page_id,
+          sum(cs_ext_sales_price) as sales,
+          sum(coalesce(cr_return_amount, 0)) as returns,
+          sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit
+  from catalog_sales left outer join catalog_returns on
+         (cs_item_sk = cr_item_sk and cs_order_number = cr_order_number),
+     date_dim,
+     catalog_page,
+     item,
+     promotion
+ where cs_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date)
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+        and cs_catalog_page_sk = cp_catalog_page_sk
+       and cs_item_sk = i_item_sk
+       and i_current_price > 50
+       and cs_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select  web_site_id,
+          sum(ws_ext_sales_price) as sales,
+          sum(coalesce(wr_return_amt, 0)) as returns,
+          sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit
+  from web_sales left outer join web_returns on
+         (ws_item_sk = wr_item_sk and ws_order_number = wr_order_number),
+     date_dim,
+     web_site,
+     item,
+     promotion
+ where ws_sold_date_sk = d_date_sk
+       and d_date between cast('1998-08-28' as date)
+                  and (cast('1998-08-28' as date) +  interval 30 day)
+        and ws_web_site_sk = web_site_sk
+       and ws_item_sk = i_item_sk
+       and i_current_price > 50
+       and ws_promo_sk = p_promo_sk
+       and p_channel_tv = 'N'
+group by web_site_id)
+  select  channel
+        , id
+        , sum(sales) as sales
+        , sum(returns) as returns
+        , sum(profit) as profit
+ from 
+ (select 'store channel' as channel
+        , concat('store', store_id) as id
+        , sales
+        , returns
+        , profit
+ from   ssr
+ union all
+ select 'catalog channel' as channel
+        , concat('catalog_page', catalog_page_id) as id
+        , sales
+        , returns
+        , profit
+ from  csr
+ union all
+ select 'web channel' as channel
+        , concat('web_site', web_site_id) as id
+        , sales
+        , returns
+        , profit
+ from   wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+         ,id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query81.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query81.groovy
new file mode 100644
index 0000000000..04d7abdbc8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query81.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query81") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_81 '''
+    explain shape plan
+
+
+
+
+with customer_total_return as
+ (select cr_returning_customer_sk as ctr_customer_sk
+        ,ca_state as ctr_state, 
+ 	sum(cr_return_amt_inc_tax) as ctr_total_return
+ from catalog_returns
+     ,date_dim
+     ,customer_address
+ where cr_returned_date_sk = d_date_sk 
+   and d_year =2002
+   and cr_returning_addr_sk = ca_address_sk 
+ group by cr_returning_customer_sk
+         ,ca_state )
+  select  c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+                   ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+                  ,ca_location_type,ctr_total_return
+ from customer_total_return ctr1
+     ,customer_address
+     ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ 			  from customer_total_return ctr2 
+                  	  where ctr1.ctr_state = ctr2.ctr_state)
+       and ca_address_sk = c_current_addr_sk
+       and ca_state = 'CA'
+       and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+                   ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+                  ,ca_location_type,ctr_total_return
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query82.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query82.groovy
new file mode 100644
index 0000000000..17efc3c9ed
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query82.groovy
@@ -0,0 +1,56 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query82") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_82 '''
+    explain shape plan
+
+
+
+
+select  i_item_id
+       ,i_item_desc
+       ,i_current_price
+ from item, inventory, date_dim, store_sales
+ where i_current_price between 17 and 17+30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('1999-07-09' as date) and (cast('1999-07-09' as date) +  interval 60 day)
+ and i_manufact_id in (639,169,138,339)
+ and inv_quantity_on_hand between 100 and 500
+ and ss_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query83.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query83.groovy
new file mode 100644
index 0000000000..76e7e433d8
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query83.groovy
@@ -0,0 +1,106 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query83") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_83 '''
+    explain shape plan
+
+
+
+
+with sr_items as
+ (select i_item_id item_id,
+        sum(sr_return_quantity) sr_item_qty
+ from store_returns,
+      item,
+      date_dim
+ where sr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+	  where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   sr_returned_date_sk   = d_date_sk
+ group by i_item_id),
+ cr_items as
+ (select i_item_id item_id,
+        sum(cr_return_quantity) cr_item_qty
+ from catalog_returns,
+      item,
+      date_dim
+ where cr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+	  where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   cr_returned_date_sk   = d_date_sk
+ group by i_item_id),
+ wr_items as
+ (select i_item_id item_id,
+        sum(wr_return_quantity) wr_item_qty
+ from web_returns,
+      item,
+      date_dim
+ where wr_item_sk = i_item_sk
+ and   d_date    in 
+	(select d_date
+	from date_dim
+	where d_week_seq in 
+		(select d_week_seq
+		from date_dim
+		where d_date in ('2001-06-06','2001-09-02','2001-11-11')))
+ and   wr_returned_date_sk   = d_date_sk
+ group by i_item_id)
+  select  sr_items.item_id
+       ,sr_item_qty
+       ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev
+       ,cr_item_qty
+       ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev
+       ,wr_item_qty
+       ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev
+       ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average
+ from sr_items
+     ,cr_items
+     ,wr_items
+ where sr_items.item_id=cr_items.item_id
+   and sr_items.item_id=wr_items.item_id 
+ order by sr_items.item_id
+         ,sr_item_qty
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query84.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query84.groovy
new file mode 100644
index 0000000000..53c5c6cc77
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query84.groovy
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query84") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_84 '''
+    explain shape plan
+
+
+
+
+select  c_customer_id as customer_id
+       , concat(concat(coalesce(c_last_name,''), ','), coalesce(c_first_name,'')) as customername
+ from customer
+     ,customer_address
+     ,customer_demographics
+     ,household_demographics
+     ,income_band
+     ,store_returns
+ where ca_city	        =  'Oakwood'
+   and c_current_addr_sk = ca_address_sk
+   and ib_lower_bound   >=  5806
+   and ib_upper_bound   <=  5806 + 50000
+   and ib_income_band_sk = hd_income_band_sk
+   and cd_demo_sk = c_current_cdemo_sk
+   and hd_demo_sk = c_current_hdemo_sk
+   and sr_cdemo_sk = cd_demo_sk
+ order by c_customer_id
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query85.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query85.groovy
new file mode 100644
index 0000000000..58d908bd9b
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query85.groovy
@@ -0,0 +1,123 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query85") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_85 '''
+    explain shape plan
+
+
+
+
+select  substr(r_reason_desc,1,20)
+       ,avg(ws_quantity)
+       ,avg(wr_refunded_cash)
+       ,avg(wr_fee)
+ from web_sales, web_returns, web_page, customer_demographics cd1,
+      customer_demographics cd2, customer_address, date_dim, reason 
+ where ws_web_page_sk = wp_web_page_sk
+   and ws_item_sk = wr_item_sk
+   and ws_order_number = wr_order_number
+   and ws_sold_date_sk = d_date_sk and d_year = 2000
+   and cd1.cd_demo_sk = wr_refunded_cdemo_sk 
+   and cd2.cd_demo_sk = wr_returning_cdemo_sk
+   and ca_address_sk = wr_refunded_addr_sk
+   and r_reason_sk = wr_reason_sk
+   and
+   (
+    (
+     cd1.cd_marital_status = 'M'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = '4 yr Degree'
+     and 
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 100.00 and 150.00
+    )
+   or
+    (
+     cd1.cd_marital_status = 'S'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = 'Secondary' 
+     and
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 50.00 and 100.00
+    )
+   or
+    (
+     cd1.cd_marital_status = 'W'
+     and
+     cd1.cd_marital_status = cd2.cd_marital_status
+     and
+     cd1.cd_education_status = 'Advanced Degree'
+     and
+     cd1.cd_education_status = cd2.cd_education_status
+     and
+     ws_sales_price between 150.00 and 200.00
+    )
+   )
+   and
+   (
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('FL', 'TX', 'DE')
+     and ws_net_profit between 100 and 200  
+    )
+    or
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('IN', 'ND', 'ID')
+     and ws_net_profit between 150 and 300  
+    )
+    or
+    (
+     ca_country = 'United States'
+     and
+     ca_state in ('MT', 'IL', 'OH')
+     and ws_net_profit between 50 and 250  
+    )
+   )
+group by r_reason_desc
+order by substr(r_reason_desc,1,20)
+        ,avg(ws_quantity)
+        ,avg(wr_refunded_cash)
+        ,avg(wr_fee)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query86.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query86.groovy
new file mode 100644
index 0000000000..48e3db89d2
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query86.groovy
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query86") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_86 '''
+    explain shape plan
+
+
+
+
+select   
+    sum(ws_net_paid) as total_sum
+   ,i_category
+   ,i_class
+   ,grouping(i_category)+grouping(i_class) as lochierarchy
+   ,rank() over (
+ 	partition by grouping(i_category)+grouping(i_class),
+ 	case when grouping(i_class) = 0 then i_category end 
+ 	order by sum(ws_net_paid) desc) as rank_within_parent
+ from
+    web_sales
+   ,date_dim       d1
+   ,item
+ where
+    d1.d_month_seq between 1224 and 1224+11
+ and d1.d_date_sk = ws_sold_date_sk
+ and i_item_sk  = ws_item_sk
+ group by rollup(i_category,i_class)
+ order by
+   lochierarchy desc,
+   case when lochierarchy = 0 then i_category end,
+   rank_within_parent
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query87.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query87.groovy
new file mode 100644
index 0000000000..ca794d2bb7
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query87.groovy
@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query87") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_87 '''
+    explain shape plan
+
+
+
+
+select count(*) 
+from ((select distinct c_last_name, c_first_name, d_date
+       from store_sales, date_dim, customer
+       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
+         and store_sales.ss_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+       except
+      (select distinct c_last_name, c_first_name, d_date
+       from catalog_sales, date_dim, customer
+       where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
+         and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+       except
+      (select distinct c_last_name, c_first_name, d_date
+       from web_sales, date_dim, customer
+       where web_sales.ws_sold_date_sk = date_dim.d_date_sk
+         and web_sales.ws_bill_customer_sk = customer.c_customer_sk
+         and d_month_seq between 1184 and 1184+11)
+) cool_cust
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query88.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query88.groovy
new file mode 100644
index 0000000000..a61e82ef51
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query88.groovy
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query88") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_88 '''
+    explain shape plan
+
+
+
+
+select  *
+from
+ (select count(*) h8_30_to_9
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk   
+     and ss_hdemo_sk = household_demographics.hd_demo_sk 
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 8
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) 
+     and store.s_store_name = 'ese') s1,
+ (select count(*) h9_to_9_30 
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk 
+     and time_dim.t_hour = 9 
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s2,
+ (select count(*) h9_30_to_10 
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 9
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s3,
+ (select count(*) h10_to_10_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 10 
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s4,
+ (select count(*) h10_30_to_11
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 10 
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s5,
+ (select count(*) h11_to_11_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk 
+     and time_dim.t_hour = 11
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s6,
+ (select count(*) h11_30_to_12
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 11
+     and time_dim.t_minute >= 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s7,
+ (select count(*) h12_to_12_30
+ from store_sales, household_demographics , time_dim, store
+ where ss_sold_time_sk = time_dim.t_time_sk
+     and ss_hdemo_sk = household_demographics.hd_demo_sk
+     and ss_store_sk = s_store_sk
+     and time_dim.t_hour = 12
+     and time_dim.t_minute < 30
+     and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
+          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
+          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
+     and store.s_store_name = 'ese') s8
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query89.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query89.groovy
new file mode 100644
index 0000000000..fdeacce280
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query89.groovy
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query89") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_89 '''
+    explain shape plan
+
+
+
+
+select  *
+from(
+select i_category, i_class, i_brand,
+       s_store_name, s_company_name,
+       d_moy,
+       sum(ss_sales_price) sum_sales,
+       avg(sum(ss_sales_price)) over
+         (partition by i_category, i_brand, s_store_name, s_company_name)
+         avg_monthly_sales
+from item, store_sales, date_dim, store
+where ss_item_sk = i_item_sk and
+      ss_sold_date_sk = d_date_sk and
+      ss_store_sk = s_store_sk and
+      d_year in (1999) and
+        ((i_category in ('Jewelry','Shoes','Electronics') and
+          i_class in ('semi-precious','athletic','portable')
+         )
+      or (i_category in ('Men','Music','Women') and
+          i_class in ('accessories','rock','maternity') 
+        ))
+group by i_category, i_class, i_brand,
+         s_store_name, s_company_name, d_moy) tmp1
+where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1
+order by sum_sales - avg_monthly_sales, s_store_name
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query9.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query9.groovy
new file mode 100644
index 0000000000..cdbad38e98
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query9.groovy
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query9") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_9 '''
+    explain shape plan
+
+
+
+
+select case when (select count(*) 
+                  from store_sales 
+                  where ss_quantity between 1 and 20) > 2972190
+            then (select avg(ss_ext_sales_price) 
+                  from store_sales 
+                  where ss_quantity between 1 and 20) 
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 1 and 20) end bucket1 ,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 21 and 40) > 4505785
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 21 and 40) 
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 21 and 40) end bucket2,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 41 and 60) > 1575726
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 41 and 60)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 41 and 60) end bucket3,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 61 and 80) > 3188917
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 61 and 80)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 61 and 80) end bucket4,
+       case when (select count(*)
+                  from store_sales
+                  where ss_quantity between 81 and 100) > 3525216
+            then (select avg(ss_ext_sales_price)
+                  from store_sales
+                  where ss_quantity between 81 and 100)
+            else (select avg(ss_net_profit)
+                  from store_sales
+                  where ss_quantity between 81 and 100) end bucket5
+from reason
+where r_reason_sk = 1
+;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query90.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query90.groovy
new file mode 100644
index 0000000000..3dfda5d8d0
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query90.groovy
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query90") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_90 '''
+    explain shape plan
+
+
+
+
+select  cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
+ from ( select count(*) amc
+       from web_sales, household_demographics , time_dim, web_page
+       where ws_sold_time_sk = time_dim.t_time_sk
+         and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+         and ws_web_page_sk = web_page.wp_web_page_sk
+         and time_dim.t_hour between 10 and 10+1
+         and household_demographics.hd_dep_count = 2
+         and web_page.wp_char_count between 5000 and 5200) at,
+      ( select count(*) pmc
+       from web_sales, household_demographics , time_dim, web_page
+       where ws_sold_time_sk = time_dim.t_time_sk
+         and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+         and ws_web_page_sk = web_page.wp_web_page_sk
+         and time_dim.t_hour between 16 and 16+1
+         and household_demographics.hd_dep_count = 2
+         and web_page.wp_char_count between 5000 and 5200) pt
+ order by am_pm_ratio
+ limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query91.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query91.groovy
new file mode 100644
index 0000000000..d8a32b3722
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query91.groovy
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query91") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_91 '''
+    explain shape plan
+
+
+
+
+select  
+        cc_call_center_id Call_Center,
+        cc_name Call_Center_Name,
+        cc_manager Manager,
+        sum(cr_net_loss) Returns_Loss
+from
+        call_center,
+        catalog_returns,
+        date_dim,
+        customer,
+        customer_address,
+        customer_demographics,
+        household_demographics
+where
+        cr_call_center_sk       = cc_call_center_sk
+and     cr_returned_date_sk     = d_date_sk
+and     cr_returning_customer_sk= c_customer_sk
+and     cd_demo_sk              = c_current_cdemo_sk
+and     hd_demo_sk              = c_current_hdemo_sk
+and     ca_address_sk           = c_current_addr_sk
+and     d_year                  = 2001 
+and     d_moy                   = 11
+and     ( (cd_marital_status       = 'M' and cd_education_status     = 'Unknown')
+        or(cd_marital_status       = 'W' and cd_education_status     = 'Advanced Degree'))
+and     hd_buy_potential like '1001-5000%'
+and     ca_gmt_offset           = -6
+group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
+order by sum(cr_net_loss) desc;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query92.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query92.groovy
new file mode 100644
index 0000000000..090f94474e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query92.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query92") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_92 '''
+    explain shape plan
+
+
+
+
+select  
+   sum(ws_ext_discount_amt)  as "Excess Discount Amount" 
+from 
+    web_sales 
+   ,item 
+   ,date_dim
+where
+i_manufact_id = 320
+and i_item_sk = ws_item_sk 
+and d_date between '2002-02-26' and 
+        (cast('2002-02-26' as date) + interval 90 day)
+and d_date_sk = ws_sold_date_sk 
+and ws_ext_discount_amt  
+     > ( 
+         SELECT 
+            1.3 * avg(ws_ext_discount_amt) 
+         FROM 
+            web_sales 
+           ,date_dim
+         WHERE 
+              ws_item_sk = i_item_sk 
+          and d_date between '2002-02-26' and
+                             (cast('2002-02-26' as date) + interval 90 day)
+          and d_date_sk = ws_sold_date_sk 
+      ) 
+order by sum(ws_ext_discount_amt)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query93.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query93.groovy
new file mode 100644
index 0000000000..f6e1e666fa
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query93.groovy
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query93") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_93 '''
+    explain shape plan
+
+
+
+
+select  ss_customer_sk
+            ,sum(act_sales) sumsales
+      from (select ss_item_sk
+                  ,ss_ticket_number
+                  ,ss_customer_sk
+                  ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
+                                                            else (ss_quantity*ss_sales_price) end act_sales
+            from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
+                                                               and sr_ticket_number = ss_ticket_number)
+                ,reason
+            where sr_reason_sk = r_reason_sk
+              and r_reason_desc = 'duplicate purchase') t
+      group by ss_customer_sk
+      order by sumsales, ss_customer_sk
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query94.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query94.groovy
new file mode 100644
index 0000000000..4ea58643a6
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query94.groovy
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query94") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_94 '''
+    explain shape plan
+
+
+
+
+select  
+   count(distinct ws_order_number) as "order count"
+  ,sum(ws_ext_ship_cost) as "total shipping cost"
+  ,sum(ws_net_profit) as "total net profit"
+from
+   web_sales ws1
+  ,date_dim
+  ,customer_address
+  ,web_site
+where
+    d_date between '2000-2-01' and 
+           (cast('2000-2-01' as date) + interval 60 day)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'OK'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and exists (select *
+            from web_sales ws2
+            where ws1.ws_order_number = ws2.ws_order_number
+              and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+and not exists(select *
+               from web_returns wr1
+               where ws1.ws_order_number = wr1.wr_order_number)
+order by count(distinct ws_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query95.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query95.groovy
new file mode 100644
index 0000000000..3064909fcf
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query95.groovy
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query95") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_95 '''
+    explain shape plan
+
+
+with ws_wh as
+(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
+ from web_sales ws1,web_sales ws2
+ where ws1.ws_order_number = ws2.ws_order_number
+   and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+ select  
+   count(distinct ws_order_number) as "order count"
+  ,sum(ws_ext_ship_cost) as "total shipping cost"
+  ,sum(ws_net_profit) as "total net profit"
+from
+   web_sales ws1
+  ,date_dim
+  ,customer_address
+  ,web_site
+where
+    d_date between '1999-2-01' and 
+           (cast('1999-2-01' as date) + interval 60 day)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'NC'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and ws1.ws_order_number in (select ws_order_number
+                            from ws_wh)
+and ws1.ws_order_number in (select wr_order_number
+                            from web_returns,ws_wh
+                            where wr_order_number = ws_wh.ws_order_number)
+order by count(distinct ws_order_number)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query96.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query96.groovy
new file mode 100644
index 0000000000..529b014b83
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query96.groovy
@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query96") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_96 '''
+    explain shape plan
+
+
+
+
+select  count(*) 
+from store_sales
+    ,household_demographics 
+    ,time_dim, store
+where ss_sold_time_sk = time_dim.t_time_sk   
+    and ss_hdemo_sk = household_demographics.hd_demo_sk 
+    and ss_store_sk = s_store_sk
+    and time_dim.t_hour = 8
+    and time_dim.t_minute >= 30
+    and household_demographics.hd_dep_count = 3
+    and store.s_store_name = 'ese'
+order by count(*)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query97.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query97.groovy
new file mode 100644
index 0000000000..ab7184c985
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query97.groovy
@@ -0,0 +1,64 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query97") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_97 '''
+    explain shape plan
+
+
+
+
+with ssci as (
+select ss_customer_sk customer_sk
+      ,ss_item_sk item_sk
+from store_sales,date_dim
+where ss_sold_date_sk = d_date_sk
+  and d_month_seq between 1214 and 1214 + 11
+group by ss_customer_sk
+        ,ss_item_sk),
+csci as(
+ select cs_bill_customer_sk customer_sk
+      ,cs_item_sk item_sk
+from catalog_sales,date_dim
+where cs_sold_date_sk = d_date_sk
+  and d_month_seq between 1214 and 1214 + 11
+group by cs_bill_customer_sk
+        ,cs_item_sk)
+ select  sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only
+      ,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only
+      ,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog
+from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk
+                               and ssci.item_sk = csci.item_sk)
+limit 100;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query98.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query98.groovy
new file mode 100644
index 0000000000..6acc85391d
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query98.groovy
@@ -0,0 +1,72 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query98") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_98 '''
+    explain shape plan
+
+
+
+
+select i_item_id
+      ,i_item_desc 
+      ,i_category 
+      ,i_class 
+      ,i_current_price
+      ,sum(ss_ext_sales_price) as itemrevenue 
+      ,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over
+          (partition by i_class) as revenueratio
+from	
+	store_sales
+    	,item 
+    	,date_dim
+where 
+	ss_item_sk = i_item_sk 
+  	and i_category in ('Sports', 'Music', 'Shoes')
+  	and ss_sold_date_sk = d_date_sk
+	and d_date between cast('2002-05-20' as date) 
+				and (cast('2002-05-20' as date) + interval 30 day)
+group by 
+	i_item_id
+        ,i_item_desc 
+        ,i_category
+        ,i_class
+        ,i_current_price
+order by 
+	i_category
+        ,i_class
+        ,i_item_id
+        ,i_item_desc
+        ,revenueratio;
+
+    '''
+}
diff --git a/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query99.groovy b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query99.groovy
new file mode 100644
index 0000000000..ea52d2e84e
--- /dev/null
+++ b/regression-test/suites/nereids_tpcds_shape_sf100_p0/rf_prune/query99.groovy
@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+suite("query99") {
+    String db = context.config.getDbNameByFile(new File(context.file.parent))
+    sql "use ${db}"
+    sql 'set enable_nereids_planner=true'
+    sql 'set enable_fallback_to_original_planner=false'
+    sql 'set exec_mem_limit=21G'
+    sql 'set be_number_for_test=3'
+sql 'set enable_runtime_filter_prune=true'
+    sql 'set parallel_pipeline_task_num=8'
+    sql 'set forbid_unknown_col_stats=true'
+    sql 'set broadcast_row_count_limit = 30000000'
+    sql 'set enable_nereids_timeout = false'
+    sql 'SET enable_pipeline_engine = true'
+
+    qt_ds_shape_99 '''
+    explain shape plan
+
+
+
+
+select  
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,cc_name
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and 
+                 (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and 
+                 (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
+                 (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
+  ,sum(case when (cs_ship_date_sk - cs_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
+from
+   catalog_sales
+  ,warehouse
+  ,ship_mode
+  ,call_center
+  ,date_dim
+where
+    d_month_seq between 1224 and 1224 + 11
+and cs_ship_date_sk   = d_date_sk
+and cs_warehouse_sk   = w_warehouse_sk
+and cs_ship_mode_sk   = sm_ship_mode_sk
+and cs_call_center_sk = cc_call_center_sk
+group by
+   substr(w_warehouse_name,1,20)
+  ,sm_type
+  ,cc_name
+order by substr(w_warehouse_name,1,20)
+        ,sm_type
+        ,cc_name
+limit 100;
+
+    '''
+}