[jira] [Created] (SPARK-39519) Test failure in SPARK-39387 with JDK 11

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

Hyukjin Kwon created SPARK-39519:
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             Summary: Test failure in SPARK-39387 with JDK 11
                 Key: SPARK-39519
                 URL: https://issues.apache.org/jira/browse/SPARK-39519
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
    Affects Versions: 3.4.0
            Reporter: Hyukjin Kwon



{code}
[info] - SPARK-39387: BytesColumnVector should not throw RuntimeException due to overflow *** FAILED *** (3 seconds, 393 milliseconds)
[info]   org.apache.spark.SparkException: Job aborted.
[info]   at org.apache.spark.sql.errors.QueryExecutionErrors$.jobAbortedError(QueryExecutionErrors.scala:593)
[info]   at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:279)
[info]   at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:186)
[info]   at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
[info]   at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
[info]   at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
[info]   at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
[info]   at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:111)
[info]   at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:171)
[info]   at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
[info]   at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
[info]   at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
[info]   at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
[info]   at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
[info]   at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
[info]   at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
[info]   at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584)
{code}

https://github.com/apache/spark/runs/6919076419?check_suite_focus=true





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