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https://issues.apache.org/jira/browse/FLINK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15888236#comment-15888236
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ASF GitHub Bot commented on FLINK-5768:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3423#discussion_r103477827
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/IncrementalAggregateTimeWindowFunction.scala
---
@@ -55,10 +47,10 @@ class IncrementalAggregateTimeWindowFunction(
}
override def apply(
- key: Tuple,
- window: TimeWindow,
- records: Iterable[Row],
- out: Collector[Row]): Unit = {
+ key: Tuple,
--- End diff --
If we omit the grouping keys in the `AggregateAggFunction` we can get them
from the `Tuple`
> Apply new aggregation functions for datastream and dataset tables
> -----------------------------------------------------------------
>
> Key: FLINK-5768
> URL: https://issues.apache.org/jira/browse/FLINK-5768
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Shaoxuan Wang
> Assignee: Shaoxuan Wang
>
> Apply new aggregation functions for datastream and dataset tables
> This includes:
> 1. Change the implementation of the DataStream aggregation runtime code to
> use new aggregation functions and aggregate dataStream API.
> 2. DataStream will be always running in incremental mode, as explained in
> 06/Feb/2017 in FLINK5564.
> 2. Change the implementation of the Dataset aggregation runtime code to use
> new aggregation functions.
> 3. Clean up unused class and method.
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