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doris/regression-test/data
924060929 d3e7f12ada [refactor](Nereids) refactor column pruning (#17579)
This pr refactor the column pruning by the visitor, the good sides
1. easy to provide ability of column pruning for new plan by implement the interface `OutputPrunable` if the plan contains output field or do nothing if not contains output field, don't need to add new rule like `PruneXxxChildColumns`, few scenarios need to override the visit function to write special logic, like prune the LogicalSetOperation and Aggregate
2. support shrink output field in some plans, this can skip some useless operations so improvement

example:
```sql
select id 
from (
  select id, sum(age)
  from student
  group by id
)a
```

we should prune the useless `sum (age)` in the aggregate.
before refactor:
```
LogicalProject ( distinct=false, projects=[id#0], excepts=[], canEliminate=true )
+--LogicalSubQueryAlias ( qualifier=[a] )
   +--LogicalAggregate ( groupByExpr=[id#0], outputExpr=[id#0, sum(age#2) AS `sum(age)`#4], hasRepeat=false )
      +--LogicalProject ( distinct=false, projects=[id#0, age#2], excepts=[], canEliminate=true )
         +--LogicalOlapScan ( qualified=default_cluster:test.student, indexName=<index_not_selected>, selectedIndexId=10007, preAgg=ON )
```

after refactor:
```
LogicalProject ( distinct=false, projects=[id#0], excepts=[], canEliminate=true )
+--LogicalSubQueryAlias ( qualifier=[a] )
   +--LogicalAggregate ( groupByExpr=[id#0], outputExpr=[id#0], hasRepeat=false )
      +--LogicalProject ( distinct=false, projects=[id#0], excepts=[], canEliminate=true )
         +--LogicalOlapScan ( qualified=default_cluster:test.student, indexName=<index_not_selected>, selectedIndexId=10007, preAgg=ON )
```
2023-03-24 09:00:48 +08:00
..
2022-11-30 17:59:13 +08:00