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https://issues.apache.org/jira/browse/CALCITE-3404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated CALCITE-3404:
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Labels: pull-request-available (was: )
> Promote plan for AggregateExpandDistinctAggregatesRule when all the agg
> expressions are distinct and have same arguments
> ------------------------------------------------------------------------------------------------------------------------
>
> Key: CALCITE-3404
> URL: https://issues.apache.org/jira/browse/CALCITE-3404
> Project: Calcite
> Issue Type: Improvement
> Components: core
> Affects Versions: 1.21.0
> Reporter: Danny Chen
> Assignee: Danny Chen
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.22.0
>
>
> After CALCITE-3159, the distinct constraint for MAX/MIN/BIT_OR/BIT_AND are
> removed automatically, so if we have a query:
> {code:sql}
> select sum(distinct deptno), count(distinct deptno), max(deptno) from emp
> {code}
> Than plan has regression from
> {code:xml}
> LogicalAggregate(group=[{}], EXPR$0=[SUM($0)], EXPR$1=[COUNT($0)],
> EXPR$2=[MAX($0)])
> LogicalAggregate(group=[{0}])
> LogicalProject(DEPTNO=[$7])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> {code}
> to
> {code:xml}
> LogicalAggregate(group=[{}], EXPR$0=[SUM($0) FILTER $2], EXPR$1=[COUNT($0)
> FILTER $2], EXPR$2=[MIN($1) FILTER $3])
> LogicalProject(DEPTNO=[$0], EXPR$2=[$1], $g_0=[=($2, 0)], $g_1=[=($2, 1)])
> LogicalAggregate(group=[{0}], groups=[[{0}, {}]], EXPR$2=[MAX($0)],
> $g=[GROUPING($0)])
> LogicalProject(DEPTNO=[$7])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> {code}
> The distinct trait actually can be reused.
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