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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2023/11/24 09:10:00 UTC

[jira] [Assigned] (SPARK-46074) [CONNECT][SCALA] Insufficient details in error when a UDF fails

     [ https://issues.apache.org/jira/browse/SPARK-46074?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot reassigned SPARK-46074:
--------------------------------------

    Assignee:     (was: Apache Spark)

> [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
>            Priority: Major
>              Labels: pull-request-available
>
> 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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