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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