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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2019/09/11 12:47:00 UTC
[jira] [Work logged] (BEAM-8191) Multiple Flatten.pCollections()
transforms generate an overwhelming number of tasks
[ https://issues.apache.org/jira/browse/BEAM-8191?focusedWorklogId=310543&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-310543 ]
ASF GitHub Bot logged work on BEAM-8191:
----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Sep/19 12:46
Start Date: 11/Sep/19 12:46
Worklog Time Spent: 10m
Work Description: pbackx commented on pull request #9544: [BEAM-8191] Fixes potentially large number of tasks on Spark after Flatten.pCollections()
URL: https://github.com/apache/beam/pull/9544
In the Spark runner (Beam 2.14.0), a Flatten.pCollections() PTransform is translated into a Spark union operation. This union will create a potentially large number of partitions in the RDD that can overload the driver.
This PR does a coalesce operation after the union, which will reduce the number of partitions in the RDD at virtually no cost.
See the JIRA ticket for more detail:
https://issues.apache.org/jira/browse/BEAM-8191
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 310543)
Remaining Estimate: 0h
Time Spent: 10m
> Multiple Flatten.pCollections() transforms generate an overwhelming number of tasks
> -----------------------------------------------------------------------------------
>
> Key: BEAM-8191
> URL: https://issues.apache.org/jira/browse/BEAM-8191
> Project: Beam
> Issue Type: Bug
> Components: runner-spark
> Affects Versions: 2.12.0, 2.14.0, 2.15.0
> Reporter: Peter Backx
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The Flatten.pCollections() is translated into a Spark union operation. The resulting RDD will have the sum of the partitions in the originating RDDs.
> If you flatten 2 PCollections with each 10 partitions, the result will have 20 partitions.
> This is ok in small pipelins, but in our main pipeline, this means the number of tasks grows out of hand quite easily (over 500k tasks in one stage). This overloads the driver and crashes the process.
> I have created a small repro case:
> [https://github.com/pbackx/beam-flatmap-test]
>
> A possible solution is to add a coalesce call after the union. We have been testing this and it seems to do exactly what we want, but I'm not sure if this fix is applicable for all cases.
> I will open a PR for this so that you can review my proposed change and discuss whether or not it's a good idea.
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