[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ted Yu updated SPARK-40508:
---
Description:
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.
was:
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.
> 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
>
> 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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