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https://issues.apache.org/jira/browse/FLINK-5804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15900964#comment-15900964
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ASF GitHub Bot commented on FLINK-5804:
---------------------------------------

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

    https://github.com/apache/flink/pull/3491#discussion_r104875937
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateUtil.scala
 ---
    @@ -94,15 +94,18 @@ object AggregateUtil {
       }
     
       /**
    -    * Create an [[ProcessFunction]] to evaluate final aggregate value.
    +    * Create an 
[[org.apache.flink.streaming.api.functions.ProcessFunction]] to evaluate final
    +    * aggregate value.
         *
         * @param namedAggregates List of calls to aggregate functions and 
their output field names
         * @param inputType Input row type
    -    * @return [[UnboundedProcessingOverProcessFunction]]
    +    * @param isPartitioned It is a tag that Indicates whether the data has 
partitioned
    --- End diff --
    
    `Flag to indicate whether the input is partitioned or not`


> Add [non-partitioned] processing time OVER RANGE BETWEEN UNBOUNDED PRECEDING 
> aggregation to SQL
> -----------------------------------------------------------------------------------------------
>
>                 Key: FLINK-5804
>                 URL: https://issues.apache.org/jira/browse/FLINK-5804
>             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 (ORDER BY procTime() RANGE BETWEEN UNBOUNDED PRECEDING AND 
> CURRENT ROW) AS sumB,
>   MIN(b) OVER (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.
> - Since no PARTITION BY clause is specified, the execution will be single 
> threaded.
> - 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).



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