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sunjincheng commented on FLINK-6145: ------------------------------------ Fixed by [7a9d39f|https://github.com/apache/flink/commit/7a9d39fe9f659d43bf4719a2981f6c4771ffbe48] > Add [non-partitioned] event time OVER ROWS BETWEEN x PRECEDING aggregation to > SQL > --------------------------------------------------------------------------------- > > Key: FLINK-6145 > URL: https://issues.apache.org/jira/browse/FLINK-6145 > Project: Flink > Issue Type: Sub-task > Components: Table API & SQL > Reporter: sunjincheng > Assignee: sunjincheng > > The goal of this issue is to add support for OVER ROWS aggregations on event > time streams to the SQL interface. > Queries similar to the following should be supported: > {code} > SELECT > a, > SUM(b) OVER (ORDER BY rowTime() ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) > AS sumB, > MIN(b) OVER (ORDER BY rowTime() 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 ORDER BY clause may only have rowTime() as parameter. rowTime() is a > parameterless scalar function that just indicates event time mode. > - UNBOUNDED PRECEDING is not supported (see FLINK-5804) > - 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)