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Posted to issues@calcite.apache.org by "Rui Wang (Jira)" <ji...@apache.org> on 2020/01/16 20:06:00 UTC
[jira] [Updated] (CALCITE-3743) Support PERCENT_RANK window
aggregate function
[ https://issues.apache.org/jira/browse/CALCITE-3743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rui Wang updated CALCITE-3743:
------------------------------
Description:
It seems like Calcite does not have an implementation of PERCENT_RANK: see the list of implemented window aggregate function: https://github.com/apache/calcite/blob/master/core/src/main/java/org/apache/calcite/adapter/enumerable/RexImpTable.java#L635
Did a quick check and MySQL, Postgresql, Oracle, BigQuery all support it. The definition is consistent:
{code:java}
the function returns relative rank of the current row: (rank - 1) / (total partition rows - 1)
{code}
The return value should be double.
was:
It seems like Calcite does not have an implementation of PERCENT_RANK: see the list of implemented window aggregate function: https://github.com/apache/calcite/blob/master/core/src/main/java/org/apache/calcite/adapter/enumerable/RexImpTable.java#L635
Did a quick check and MySQL, Postgresql, Oracle, BigQuery all support it. The definition is consistent:
the function returns relative rank of the current row: (rank - 1) / (total partition rows - 1)
The return value should be double.
> Support PERCENT_RANK window aggregate function
> ----------------------------------------------
>
> Key: CALCITE-3743
> URL: https://issues.apache.org/jira/browse/CALCITE-3743
> Project: Calcite
> Issue Type: Task
> Reporter: Rui Wang
> Assignee: Rui Wang
> Priority: Major
>
> It seems like Calcite does not have an implementation of PERCENT_RANK: see the list of implemented window aggregate function: https://github.com/apache/calcite/blob/master/core/src/main/java/org/apache/calcite/adapter/enumerable/RexImpTable.java#L635
> Did a quick check and MySQL, Postgresql, Oracle, BigQuery all support it. The definition is consistent:
> {code:java}
> the function returns relative rank of the current row: (rank - 1) / (total partition rows - 1)
> {code}
> The return value should be double.
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