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https://issues.apache.org/jira/browse/BEAM-9748?focusedWorklogId=422811&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-422811
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ASF GitHub Bot logged work on BEAM-9748:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 15/Apr/20 16:09
            Start Date: 15/Apr/20 16:09
    Worklog Time Spent: 10m 
      Work Description: lukecwik commented on pull request #11406: [BEAM-9748] 
Move Reparallelize transform to Reshuffle
URL: https://github.com/apache/beam/pull/11406#discussion_r408960107
 
 

 ##########
 File path: 
sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/Reshuffle.java
 ##########
 @@ -65,6 +66,16 @@ private Reshuffle() {}
     return new ViaRandomKey<>();
   }
 
+  @Experimental
 
 Review comment:
   I think the key is that the large input was generated with limited 
parallelism and suggest that we update `ViaRandomKey` to perform both 
expansions where the side input fusion break is added if the 
`withHintHighFanoutAndLimitedInputParallelism()` is specified.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 422811)
    Time Spent: 2h 40m  (was: 2.5h)

> Add Reshuffle.ForSequentiallyGeneratedInput transform
> -----------------------------------------------------
>
>                 Key: BEAM-9748
>                 URL: https://issues.apache.org/jira/browse/BEAM-9748
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-java-core
>            Reporter: Ismaël Mejía
>            Assignee: Ismaël Mejía
>            Priority: Minor
>          Time Spent: 2h 40m
>  Remaining Estimate: 0h
>
> Some DoFn based IOs like JdbcIO and RedisIO rely on a different approach to 
> Reparallelize outputs using a combination of a an empty PCollectionView to 
> force materialization and Reshuffle.viaRandomkey to reparallelize a 
> PCollection. This issue extracts this transform and expose it as part of the 
> Reshuffle to avoid repeating the code for transforms (notably IOs) that 
> produce lots of sequentially generated data where and benefit of this 
> alternative approach to perform better reparallelization of its output.



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