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From "sunjincheng (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-6200) Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
Date Tue, 28 Mar 2017 00:51:41 GMT
sunjincheng created FLINK-6200:
----------------------------------

             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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