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sunjincheng edited comment on FLINK-5656 at 3/8/17 8:55 AM: ------------------------------------------------------------ Hi, [~fhueske] I think PR( #3397 ) Has solved this issue, So, I want close this JIRA. What do you think? Best, SunJIncheng was (Author: sunjincheng121): Hi, [~fhueske] I think PR( #3397 ) Has solved this issue, So, I want close this JIRA. What do you think? Beat, SunJIncheng > Add processing time OVER ROWS BETWEEN UNBOUNDED PRECEDING aggregation to SQL > ---------------------------------------------------------------------------- > > Key: FLINK-5656 > URL: https://issues.apache.org/jira/browse/FLINK-5656 > Project: Flink > Issue Type: Sub-task > Components: Table API & SQL > Reporter: Fabian Hueske > Assignee: sunjincheng > > The goal of this issue is to add support for OVER ROW 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() ROW BETWEEN UNBOUNDED > PRECEDING AND CURRENT ROW) AS sumB, > MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROW BETWEEN UNBOUNDED > 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. > - x PRECEDING is not supported (see FLINK-5653) > - 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)