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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/04/27 07:26:00 UTC
[jira] [Work logged] (BEAM-9824) Multiple reshuffles are ignored in
some cases on Flink batch runner.
[ https://issues.apache.org/jira/browse/BEAM-9824?focusedWorklogId=427490&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-427490 ]
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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