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https://issues.apache.org/jira/browse/CALCITE-6887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yu Xu updated CALCITE-6887:
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Summary: ReduceExpressionsRule applied to 'IN subquery' should make the
values distinct if the subquery is a constant Values (was: In should distinct
values with ReduceExpressionRule)
> ReduceExpressionsRule applied to 'IN subquery' should make the values
> distinct if the subquery is a constant Values
> -------------------------------------------------------------------------------------------------------------------
>
> Key: CALCITE-6887
> URL: https://issues.apache.org/jira/browse/CALCITE-6887
> Project: Calcite
> Issue Type: Bug
> Components: core
> Affects Versions: 1.38.0
> Reporter: Yu Xu
> Assignee: Yu Xu
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.40.0
>
>
> Currently IN operator in ReduceExpressionsRule would not distinct values, so
> need optimize it with distinct values in IN.
> for example *in (1,1,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,1)* transform to
> *in (1,2,3)* is better, but currently would be *in
> (1,1,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,1)* without distinct.
> Like case follow:
> *test case:*
> @Test void testReduceExpressionsWithIn()
> { final String sql = "select deptno, sal " + "from emp " + "where deptno in
> (1,1,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,1) ";
> sql(sql).withRule(CoreRules.PROJECT_REDUCE_EXPRESSIONS) .check(); }
>
> *before plan:*
> LogicalProject(DEPTNO=[$7], SAL=[$5])
> LogicalFilter(condition=[IN($7,
> { LogicalValues(tuples=[[
> { 1 }, \{ 1 }, \{ 2 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1
> }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{
> 3 }, \{ 1 }]])
> })])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
>
> *after plan:*
> LogicalProject(DEPTNO=[$7], SAL=[$5])
> LogicalFilter(condition=[IN($7,
> { LogicalValues(tuples=[[
> { 1 }
> , \{ 1 }, \{ 2 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{
> 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 1 }, \{ 3 },
> \{ 1 }]])
> })])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
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