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https://issues.apache.org/jira/browse/SPARK-46074?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-46074.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43983
[https://github.com/apache/spark/pull/43983]
> [CONNECT][SCALA] Insufficient details in error when a UDF fails
> ---------------------------------------------------------------
>
> Key: SPARK-46074
> URL: https://issues.apache.org/jira/browse/SPARK-46074
> Project: Spark
> Issue Type: Improvement
> Components: Connect
> Affects Versions: 3.5.0
> Reporter: Niranjan Jayakar
> Assignee: Niranjan Jayakar
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> Currently, when a UDF fails the connect client does not receive the actual
> error that caused the failure.
> As an example, the error message looks like -
> {code:java}
> Exception in thread "main" org.apache.spark.SparkException:
> grpc_shaded.io.grpc.StatusRuntimeException: INTERNAL: Job aborted due to
> stage failure: Task 2 in stage 0.0 failed 4 times, most recent failure: Lost
> task 2.3 in stage 0.0 (TID 10) (10.68.141.158 executor 0):
> org.apache.spark.SparkException: [FAILED_EXECUTE_UDF] Failed to execute user
> defined function (` (Main$$$Lambda$4770/1714264622)`: (int) => int).
> SQLSTATE: 39000 {code}
> In this case, the actual error was a {{{}java.lang.NoClassDefFoundError{}}}.
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