Uploaded image for project: 'Flink'
  1. Flink
  2. FLINK-4557 Table API Stream Aggregations
  3. FLINK-5656

Add processing time OVER ROWS BETWEEN UNBOUNDED PRECEDING aggregation to SQL

    XMLWordPrintableJSON

Details

    • Sub-task
    • Status: Closed
    • Major
    • Resolution: Implemented
    • None
    • 1.3.0
    • Table SQL / API
    • None

    Description

      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:

      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
      

      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).

      Attachments

        Issue Links

          Activity

            People

              sunjincheng121 sunjincheng
              fhueske Fabian Hueske
              Votes:
              0 Vote for this issue
              Watchers:
              5 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: