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https://issues.apache.org/jira/browse/FLINK-5653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15928969#comment-15928969
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ASF GitHub Bot commented on FLINK-5653:
---------------------------------------

Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3547#discussion_r106513895
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala
 ---
    @@ -17,34 +17,41 @@
      */
     package org.apache.flink.table.plan.nodes.datastream
     
    -import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
    +import org.apache.calcite.plan.{ RelOptCluster, RelTraitSet }
    --- End diff --
    
    This PR has several changes that reformat the code but do not change the 
logic.
    In general, we try to limit PRs to the scope of the issue and avoid 
reformatting.
    
    1. It makes the PR harder to review because every reformatting change needs 
to be checked (was something changed or not). This is especially tiresome when 
indention is changed.
    2. It makes it more difficult to track changes in the history.
    3. Other users do not necessarily agree with your (or your IDE's) 
formatting and will format it back. So it might get back and forth.
    
    There is nothing wrong with adding a space between arguments here and 
there, but please keep reformatting changes to a minimum.  


> 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
>            Assignee: Stefano Bortoli
>
> The goal of this issue is to add support for OVER ROWS 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 ORDER BY procTime() ROWS BETWEEN 2 PRECEDING 
> AND CURRENT ROW) AS sumB,
>   MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROWS 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 only have procTime() as parameter. procTime() is a 
> parameterless scalar function that just indicates processing time mode.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5656)
> - 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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