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https://issues.apache.org/jira/browse/FLINK-10451?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16630193#comment-16630193
 ] 

ASF GitHub Bot commented on FLINK-10451:
----------------------------------------

Xpray opened a new pull request #6771: [FLINK-10451] [table] 
TableFunctionCollector should handle the life cycle of ScalarFunction
URL: https://github.com/apache/flink/pull/6771
 
 
   ## What is the purpose of the change
   
   TableFunctionCollector should handle the life cycle of ScalarFunction
   
   ## Brief change log
   
   * Make `TableFunctionCollector` extends `AbstractRichFunction`
   * do open() and close()
   
   
   ## Verifying this change
   
   This change added tests and can be verified as follows:
   * 
`org.apache.flink.table.runtime.batch.table.CorrelateITCase#testTableFunctionWithFilterInside`
   * 
`org.apache.flink.table.runtime.stream.table.CorrelateITCase#testTableFunctionWithFilterInside`
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency):  no
     - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`:  no
     - The serializers:  no
     - The runtime per-record code paths (performance sensitive):  no
     - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Yarn/Mesos, ZooKeeper:  no
     - The S3 file system connector:  no
   
   ## Documentation
   
     - Does this pull request introduce a new feature?  no
     - If yes, how is the feature documented?  not documented
   

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> TableFunctionCollector should handle the life cycle of ScalarFunction
> ---------------------------------------------------------------------
>
>                 Key: FLINK-10451
>                 URL: https://issues.apache.org/jira/browse/FLINK-10451
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>            Reporter: Ruidong Li
>            Assignee: Ruidong Li
>            Priority: Major
>              Labels: pull-request-available
>
> Considering the following query:
> table.join(udtf('a)).where(udf('b))
> the filter will be pushed into DataSetCorrelate/DataStreamCorrelate without 
> triggering open() and close()



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