[ 
https://issues.apache.org/jira/browse/FLINK-5803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15899272#comment-15899272
 ] 

ASF GitHub Bot commented on FLINK-5803:
---------------------------------------

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

    https://github.com/apache/flink/pull/3397#discussion_r104628710
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala
 ---
    @@ -206,5 +164,36 @@ class DataStreamOverAggregate(
           yield new CalcitePair[AggregateCall, String](aggregateCalls.get(i), 
"w0$o" + i)
         (overWindow, partitionKeys, namedAggregates)
       }
    +
    +  private def aggOpName = {
    +    val (
    +      overWindow: Group,
    +      partition: Array[Int],
    +      namedAggregates: IndexedSeq[CalcitePair[AggregateCall, String]]
    +      ) = genPartitionKeysAndNamedAggregates
    +
    +    s"over: (${
    +      if (!partition.isEmpty) {
    +        s"PARTITION BY: ${partitionToString(inputType, partition)}, "
    +      } else {
    +        ""
    +      }
    +    }ORDER BY: ${orderingToString(inputType, 
overWindow.orderKeys.getFieldCollations)}, " +
    +      s"${windowRange(overWindow)}, " +
    +      s"select: (${
    +        aggregationToString(
    +          inputType,
    +          getRowType,
    +          namedAggregates)
    +      }))"
    +  }
    +
    +  private def windowRange(overWindow: Group): String = {
    --- End diff --
    
    Move to `OverAggregate`?


> Add [partitioned] processing time OVER RANGE BETWEEN UNBOUNDED PRECEDING 
> aggregation to SQL
> -------------------------------------------------------------------------------------------
>
>                 Key: FLINK-5803
>                 URL: https://issues.apache.org/jira/browse/FLINK-5803
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: sunjincheng
>            Assignee: sunjincheng
>
> The goal of this issue is to add support for OVER RANGE 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() RANGE BETWEEN UNBOUNDED 
> PRECEDING AND CURRENT ROW) AS sumB,
>   MIN(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN UNBOUNDED 
> 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 ORDER BY clause may only have procTime() as parameter. procTime() is a 
> parameterless scalar function that just indicates processing time mode.
> - bounded PRECEDING is not supported (see FLINK-5654)
> - 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).



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

Reply via email to