sunjincheng created FLINK-6200:
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Summary: Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING
aggregation to SQL
Key: FLINK-6200
URL: https://issues.apache.org/jira/browse/FLINK-6200
Project: Flink
Issue Type: New Feature
Components: Table API & SQL
Reporter: sunjincheng
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() RANGE BETWEEN UNBOUNDED
PRECEDING AND CURRENT ROW) AS sumB,
MIN(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE 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.
This issue includes:
Design of the DataStream operator to compute OVER ROW aggregates
Translation from Calcite's RelNode representation (LogicalProject with RexOver
expression).
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