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https://issues.apache.org/jira/browse/SPARK-33331?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chandni Singh updated SPARK-33331:
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Description:
1. In {{RemoteBlockPushResolver}}, bytes that cannot be merged immediately are
stored in memory. The stream callback maintains a list of {{deferredBufs}}.
When a block cannot be merged it is added to this list. Currently, there isn't
a limit on the number of pending blocks. There has been a discussion around
this here:
https://github.com/apache/spark/pull/30062#discussion_r514026014
2. When a stream doesn't get an opportunity to merge, then
{{RemoteBlockPushResolver}} ignores the data from that stream. Another approach
is to store the data of the stream in {{AppShufflePartitionInfo}} when it
reaches the worst-case scenario. This may increase the memory usage of the
shuffle service though. However, given a limit introduced with 1 we can try
this out.
was:
This is to address the comment here:
https://github.com/apache/spark/pull/30062#discussion_r514026014
> Limit the number of pending blocks in memory when RemoteBlockPushResolver
> defers a block
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-33331
> URL: https://issues.apache.org/jira/browse/SPARK-33331
> Project: Spark
> Issue Type: Sub-task
> Components: Shuffle
> Affects Versions: 3.1.0
> Reporter: Chandni Singh
> Priority: Major
>
> 1. In {{RemoteBlockPushResolver}}, bytes that cannot be merged immediately
> are stored in memory. The stream callback maintains a list of
> {{deferredBufs}}. When a block cannot be merged it is added to this list.
> Currently, there isn't a limit on the number of pending blocks. There has
> been a discussion around this here:
> https://github.com/apache/spark/pull/30062#discussion_r514026014
> 2. When a stream doesn't get an opportunity to merge, then
> {{RemoteBlockPushResolver}} ignores the data from that stream. Another
> approach is to store the data of the stream in {{AppShufflePartitionInfo}}
> when it reaches the worst-case scenario. This may increase the memory usage
> of the shuffle service though. However, given a limit introduced with 1 we
> can try this out.
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