Ted Yu created SPARK-40508: ------------------------------ Summary: 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
When running spark application against spark 3.3, I see the following : ``` 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) ``` 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. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org