[jira] [Updated] (CALCITE-3531) AggregateProjectPullUpConstantsRule should not remove deterministic function group key if the function is dynamic

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CALCITE-3531?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated CALCITE-3531:
------------------------------------
    Labels: pull-request-available  (was: )

> AggregateProjectPullUpConstantsRule should not remove deterministic function group key if the function is dynamic
> -----------------------------------------------------------------------------------------------------------------
>
>                 Key: CALCITE-3531
>                 URL: https://issues.apache.org/jira/browse/CALCITE-3531
>             Project: Calcite
>          Issue Type: Improvement
>          Components: core
>    Affects Versions: 1.21.0
>            Reporter: Danny Chen
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.22.0
>
>
> Now AggregateProjectPullUpConstantsRule simplify the query:
> {code:sql}
> select hiredate
> from sales.emp
> where sal is null and hiredate = current_timestamp
> group by sal, hiredate
> having count(*) > 3
> {code}
> from plan:
> {code:xml}
> LogicalProject(HIREDATE=[$1])
>   LogicalFilter(condition=[>($2, 3)])
>     LogicalAggregate(group=[{0, 1}], agg#0=[COUNT()])
>       LogicalProject(SAL=[$5], HIREDATE=[$4])
>         LogicalFilter(condition=[AND(IS NULL($5), =($4, CURRENT_TIMESTAMP))])
>           LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> {code}
> to plan:
> {code:xml}
> LogicalProject(HIREDATE=[$1])
>   LogicalFilter(condition=[>($2, 3)])
>     LogicalProject(SAL=[$0], HIREDATE=[CURRENT_TIMESTAMP], $f2=[$1])
>       LogicalAggregate(group=[{0}], agg#0=[COUNT()])
>         LogicalProject(SAL=[$5], HIREDATE=[$4])
>           LogicalFilter(condition=[AND(IS NULL($5), =($4, CURRENT_TIMESTAMP))])
>             LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> {code}
> which is unsafe, because for stream sql, we need to group data by day, also the result is wrong is a batch job runs across days.



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