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
