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https://issues.apache.org/jira/browse/SPARK-61062?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61062.
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Fix Version/s: connect-rust-4.3.0
Resolution: Fixed
Issue resolved by pull request 253
[https://github.com/apache/spark-connect-rust/pull/253]
> Upload large local relations of createDataFrame at the cache threshold in the
> Rust client
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-61062
> URL: https://issues.apache.org/jira/browse/SPARK-61062
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> createDataFrame sends every local relation inline, whatever its size, from
> local rows, from the pandas row conversion and from the float64 and string
> pandas fast paths, so a relation beyond the server's gRPC message size limit
> (128 MiB by default) fails with an HTTP/2 error. PySpark uploads a relation
> at spark.sql.session.localRelationCacheThreshold as cache artifacts.
> Reproduction: spark.createDataFrame(pd.DataFrame({"v": ["x" * 10_000] *
> 15_000}, dtype=object), "v string").count() fails with "h2 protocol error" in
> the Rust client and gives 15000 with PySpark 4.3.0.
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