[
https://issues.apache.org/jira/browse/BEAM-12153?focusedWorklogId=650592&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-650592
]
ASF GitHub Bot logged work on BEAM-12153:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Sep/21 14:17
Start Date: 14/Sep/21 14:17
Worklog Time Spent: 10m
Work Description: echauchot opened a new pull request #15508:
URL: https://github.com/apache/beam/pull/15508
@ibzib sorry for the other PR for the same change. I need to revert my last
PR that you reviewed because I discovered performance issues.
I ran a simple group by key on a 174 million lines dataset (GDELT) and the
perfs are as follow:
SimpleGroupByKey on the StructuredStreaming runner before the change: 995s,
no OOM
SimpleGroupByKey on the RDD runner: 457s
SimpleGroupByKey on the StructuredStreaming runner after the change: killed
after some hours.
I did also tests with Beam GroupByKeyLoadTests and I reproduced OOM because
spark spill to disk saturated the filesystem (see comments in the ticket).
So I'm reverting the change because perf is very bad and the OOM does not
seem to be linked to the materialization
------------------------
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`ValidatesRunner` compliance status (on master branch)
--------------------------------------------------------
<table>
<thead>
<tr>
<th>Lang</th>
<th>ULR</th>
<th>Dataflow</th>
<th>Flink</th>
<th>Samza</th>
<th>Spark</th>
<th>Twister2</th>
</tr>
</thead>
<tbody>
<tr>
<td>Go</td>
<td>---</td>
<td>
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href="https://ci-beam.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/">
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<td>---</td>
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<tr>
<td>Java</td>
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<td>---</td>
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</td>
<td>---</td>
</tr>
<tr>
<td>XLang</td>
<td>
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</td>
<td>---</td>
</tr>
</tbody>
</table>
Examples testing status on various runners
--------------------------------------------------------
<table>
<thead>
<tr>
<th>Lang</th>
<th>ULR</th>
<th>Dataflow</th>
<th>Flink</th>
<th>Samza</th>
<th>Spark</th>
<th>Twister2</th>
</tr>
</thead>
<tbody>
<tr>
<td>Go</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
</tr>
<tr>
<td>Java</td>
<td>---</td>
<td>
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href="https://ci-beam.apache.org/job/beam_PreCommit_Java_Examples_Dataflow_Cron/lastCompletedBuild/">
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</a><br>
</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
</tr>
<tr>
<td>Python</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
</tr>
<tr>
<td>XLang</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
</tr>
</tbody>
</table>
Post-Commit SDK/Transform Integration Tests Status (on master branch)
------------------------------------------------------------------------------------------------
<table>
<thead>
<tr>
<th>Go</th>
<th>Java</th>
<th>Python</th>
</tr>
</thead>
<tbody>
<tr>
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</table>
Pre-Commit Tests Status (on master branch)
------------------------------------------------------------------------------------------------
<table>
<thead>
<tr>
<th>---</th>
<th>Java</th>
<th>Python</th>
<th>Go</th>
<th>Website</th>
<th>Whitespace</th>
<th>Typescript</th>
</tr>
</thead>
<tbody>
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<td>---</td>
<td>---</td>
<td>---</td>
</tr>
</tbody>
</table>
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Issue Time Tracking
-------------------
Worklog Id: (was: 650592)
Time Spent: 9.5h (was: 9h 20m)
> OOM on GBK in SparkRunner and SpartStructuredStreamingRunner
> ------------------------------------------------------------
>
> Key: BEAM-12153
> URL: https://issues.apache.org/jira/browse/BEAM-12153
> Project: Beam
> Issue Type: Bug
> Components: runner-spark
> Reporter: Etienne Chauchot
> Assignee: Etienne Chauchot
> Priority: P3
> Time Spent: 9.5h
> Remaining Estimate: 0h
>
> We have being experiencing OOM errors on GroupByKey in batch mode in both
> Spark runners even if behind the woods spark spills data to disk in such
> cases: taking a look at the translation in the two runners, it might be due
> to using ReduceFnRunner for merging windows in GBK translation.
> ReduceFnRunner.processElements expects to have all elements to merge the
> windows between each other.:
> RDD spark runner:
> https://github.com/apache/beam/blob/752798e3b0e6911fa84f8d138dacccdb6fcc85ef/runners/spark/src/main/java/org/apache/beam/runners/spark/translation/SparkGroupAlsoByWindowViaOutputBufferFn.java#L99
> structured streaming spark: runner:
> [https://github.com/apache/beam/blob/752798e3b0e6911fa84f8d138dacccdb6fcc85ef/runners/spark/2/src/main/java/org/apache/beam/runners/spark/structuredstreaming/translation/batch/functions/GroupAlsoByWindowViaOutputBufferFn.java#L74|https://github.com/apache/beam/blob/752798e3b0e6911fa84f8d138dacccdb6fcc85ef/runners/spark/2/src/main/java/org/apache/beam/runners/spark/structuredstreaming/translation/batch/functions/GroupAlsoByWindowViaOutputBufferFn.java#L106]
> Even replacing the Iterable with an Iterator in ReduceFnRunner to avoid
> materialization does not work because deep in
> ReduceFnRunner.processElements(), the collection is iterated twice.
> It could be better to do what flink runner does and translate GBK as
> CombinePerKey with a Concatenate combine fn and thus avoid elements
> materialization.
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