[
https://issues.apache.org/jira/browse/SPARK-60963?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-60963.
----------------------------------
Resolution: Fixed
Issue resolved by pull request 202
[https://github.com/apache/spark-connect-rust/pull/202]
> Retry the cache upload of large local relations in Spark Connect Rust as
> PySpark does
> -------------------------------------------------------------------------------------
>
> Key: SPARK-60963
> URL: https://issues.apache.org/jira/browse/SPARK-60963
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> PySpark Connect uploads a local relation of
> {{spark.sql.session.localRelationCacheThreshold}} bytes or more as cached
> artifacts within its retry policy ({{_retrying()}} around
> {{cache_artifacts}}), so a transient error such as {{UNAVAILABLE}} from a
> reset connection during the status check or the upload is retried. The Rust
> client sends the {{ArtifactStatus}} and {{AddArtifacts}} requests of
> {{createDataFrame}} of a large PyArrow table once, so such an error fails the
> call at once. Retry the cache upload as PySpark does.
--
This message was sent by Atlassian Jira
(v10.3.26#10030026)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
