Fabian Hueske created FLINK-5653: ------------------------------------ Summary: 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
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 ROW BETWEEN 2 PRECEDING AND CURRENT ROW) AS sumB, MIN(b) OVER (PARTITION BY c ROW 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 not be used (this distinguishes processing time from event time which requires an ORDER BY clause on a special field). - UNBOUNDED PRECEDING is not supported - 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 (v6.3.4#6332)