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https://issues.apache.org/jira/browse/BEAM-9824?focusedWorklogId=427490&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-427490
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ASF GitHub Bot logged work on BEAM-9824:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 27/Apr/20 07:25
            Start Date: 27/Apr/20 07:25
    Worklog Time Spent: 10m 
      Work Description: dmvk opened a new pull request #11530:
URL: https://github.com/apache/beam/pull/11530


   https://issues.apache.org/jira/browse/BEAM-9824
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 427490)
    Remaining Estimate: 0h
            Time Spent: 10m

> Multiple reshuffles are ignored in some cases on Flink batch runner.
> --------------------------------------------------------------------
>
>                 Key: BEAM-9824
>                 URL: https://issues.apache.org/jira/browse/BEAM-9824
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-flink
>    Affects Versions: 2.19.0, 2.20.0
>            Reporter: David Morávek
>            Assignee: David Morávek
>            Priority: Major
>             Fix For: 2.21.0
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Multiple reshuffles are ignored in some cases on Flink batch runner. This may 
> lead to huge performace penalty in IO connectors (when reshuffling splits).
> In flink optimizer, when we `.rebalance()` dataset, is output channel is 
> marked as `FORCED_REBALANCED`. When we chain this with another 
> `.rebalance()`, the latter is ignored because it's source is already 
> `FORCED_REBALANCED`, thus requested property is met. This is correct beaviour 
> because rebalance is idempotent.
> When we include `flatMap` in between rebalances -> 
> `.rebalance().flatMap(...).rebalance()`, we need to reshuffle again, because 
> dataset distribution may have changed (eg. you can possibli emit unbouded 
> stream from a single element). Unfortunatelly `flatMap` output is still 
> incorrectly marked as `FORCED_REBALANCED` and the second reshuffle gets 
> ignored.
> This especially affects IO connectors -> `FileIO.match()` returns reshuffled 
> list of matched files -> we split each file into ranges -> **reshuffle** -> 
> read. Ignoring the second reshuffle leads to huge perf. degradation (5m -> 2h 
> in one of our production pipelines)



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