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ASF GitHub Bot commented on FLINK-5653: --------------------------------------- Github user stefanobortoli commented on the issue: https://github.com/apache/flink/pull/3574 @fhueske @sunjincheng121 @rtudoran sorry for the extra commit, I saw some comments too little too late. Now the code should comply with the requested changes. > Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL > -------------------------------------------------------------------- > > Key: FLINK-5653 > URL: https://issues.apache.org/jira/browse/FLINK-5653 > Project: Flink > Issue Type: Sub-task > Components: Table API & SQL > Reporter: Fabian Hueske > Assignee: Stefano Bortoli > > The goal of this issue is to add support for OVER ROWS aggregations on > processing time streams to the SQL interface. > Queries similar to the following should be supported: > {code} > SELECT > a, > SUM(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 PRECEDING > AND CURRENT ROW) AS sumB, > MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 PRECEDING > AND CURRENT ROW) AS minB > FROM myStream > {code} > The following restrictions should initially apply: > - All OVER clauses in the same SELECT clause must be exactly the same. > - The PARTITION BY clause is optional (no partitioning results in single > threaded execution). > - The ORDER BY clause may only have procTime() as parameter. procTime() is a > parameterless scalar function that just indicates processing time mode. > - UNBOUNDED PRECEDING is not supported (see FLINK-5656) > - FOLLOWING is not supported. > The restrictions will be resolved in follow up issues. If we find that some > of the restrictions are trivial to address, we can add the functionality in > this issue as well. > This issue includes: > - Design of the DataStream operator to compute OVER ROW aggregates > - Translation from Calcite's RelNode representation (LogicalProject with > RexOver expression). -- This message was sent by Atlassian JIRA (v6.3.15#6346)