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https://issues.apache.org/jira/browse/SPARK-54194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18038399#comment-18038399
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Dongjoon Hyun commented on SPARK-54194:
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I added the label, `releasenotes`, to include this to the release note
properly. Thank you!
> Spark Connect Proto Plan Compression
> ------------------------------------
>
> Key: SPARK-54194
> URL: https://issues.apache.org/jira/browse/SPARK-54194
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 4.1.0
> Environment: Currently, we enforce gRPC message limits on both the
> client and the server. These limits are largely meant to protect the server
> from potential OOMs by rejecting abnormally large messages. However, there
> are several cases where genuine messages exceed the limit (e.g.ES-1378440,
> ES-1381295, ES-1422075) and cause execution failures. While the client-side
> limits can be tuned manually in DB Connect, there is limited
> visibility/support on Serverless Notebooks/Jobs.
> To improve Spark Connect stability, this PR implements compressing proto
> plans to mitigate the issue of oversized messages from the client to the
> server. The compression applies to ExecutePlan and AnalyzePlan - the only two
> methods that might hit the message limit. The other issue of message limit
> from the server to the client is a different issue, and it’s out of the scope
> of this PR. For details, see ODD.
> Reporter: Xi Lyu
> Assignee: Xi Lyu
> Priority: Major
> Labels: releasenotes
> Fix For: 4.1.0
>
>
> Currently, Spark Connect enforce gRPC message limits on both the client and
> the server. These limits are largely meant to protect the server from
> potential OOMs by rejecting abnormally large messages. However, there are
> several cases where genuine messages exceed the limit and cause execution
> failures.
> To improve Spark Connect stability, we can compress unresolved proto plans to
> mitigate the issue of oversized messages from the client to the server. The
> compression applies to ExecutePlan and AnalyzePlan - the only two methods
> that might hit the message limit. The other issue of message limit from the
> server to the client is a different issue, and it’s out of the scope (that
> one is already fixed in https://github.com/apache/spark/pull/52271).
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