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