Details
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Sub-task
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Status: Closed
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Major
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Resolution: Fixed
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None
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None
Description
The goal of this issue is to add support for OVER RANGE aggregations on event time streams to the SQL interface.
Queries similar to the following should be supported:
SELECT a, SUM(b) OVER (PARTITION BY c ORDER BY rowTime() ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS sumB, MIN(b) OVER (PARTITION BY c ORDER BY rowTime() ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS minB FROM myStream
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 rowTime() as parameter. rowTime() is a parameterless scalar function that just indicates processing time mode.
- bounded PRECEDING is not supported (see
FLINK-5655) - 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.
An event-time OVER ROWS window will not be able to handle late data, because this would mean in insert a row into a sorted order shift all other computations. This would be too expensive to maintain. Therefore, we will throw an error if a user tries to use an event-time OVER ROWS window with late data handling.
This issue includes:
- Design of the DataStream operator to compute OVER ROW aggregates
- Translation from Calcite's RelNode representation (LogicalProject with RexOver expression).
Attachments
Issue Links
- is required by
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FLINK-4678 Add SessionRow row-windows to Table API
- Closed
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FLINK-4679 Add TumbleRow row-windows to Table API
- Closed
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FLINK-4680 Add SlidingRow row-windows to Table API
- Closed
- links to