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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/06/20 09:36:00 UTC
[jira] [Assigned] (SPARK-39519) Test failure in SPARK-39387 with JDK 11
[ https://issues.apache.org/jira/browse/SPARK-39519?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-39519:
------------------------------------
Assignee: Yang Jie
> 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
>
> {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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