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https://issues.apache.org/jira/browse/SPARK-39519?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yang Jie updated SPARK-39519:
-----------------------------
    Attachment: image-2022-06-21-21-26-26-563.png

> 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
>            Assignee: Yang Jie
>            Priority: Major
>         Attachments: image-2022-06-21-21-25-35-951.png, 
> image-2022-06-21-21-26-06-586.png, image-2022-06-21-21-26-26-563.png, 
> image-2022-06-21-21-26-38-146.png
>
>
> {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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