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https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17607895#comment-17607895
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Apache Spark commented on SPARK-40508:
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User 'tedyu' has created a pull request for this issue:
https://github.com/apache/spark/pull/37957
> Treat unknown partitioning as UnknownPartitioning
> -------------------------------------------------
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.3.0
> Reporter: Ted Yu
> Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
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