dce6c8bd65
materialized view definition is > select > sum(o_totalprice) as sum_total, > max(o_totalprice) as max_total, > min(o_totalprice) as min_total, > count(*) as count_all, > bitmap_union(to_bitmap(case when o_shippriority > 1 and o_orderkey IN (1, 3) then o_custkey else null end)) >cnt_1, > bitmap_union(to_bitmap(case when o_shippriority > 2 and o_orderkey IN (2) then o_custkey else null end)) as >cnt_2 > from lineitem > left join orders on l_orderkey = o_orderkey and l_shipdate = o_orderdate; the query following can be rewritten by materialized view above. it use the aggregate fuction arithmetic calculation in the select > select > count(distinct case when O_SHIPPRIORITY > 2 and o_orderkey IN (2) then o_custkey else null end) as cnt_2, > (sum(o_totalprice) + min(o_totalprice)) * count(*), > min(o_totalprice) + count(distinct case when O_SHIPPRIORITY > 2 and o_orderkey IN (2) then o_custkey else null >end) > from lineitem > left join orders on l_orderkey = o_orderkey and l_shipdate = o_orderdate;
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # fe-common This module is used to store some common classes of other modules. # spark-dpp This module is Spark DPP program, used for Spark Load function. Depends: fe-common # fe-core This module is the main process module of FE. Depends: fe-common, spark-dpp