HyukjinKwon commented on code in PR #36787:
URL: https://github.com/apache/spark/pull/36787#discussion_r901190636


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala:
##########
@@ -832,6 +832,18 @@ abstract class OrcQuerySuite extends OrcQueryTest with 
SharedSparkSession {
       }
     }
   }
+
+  test("SPARK-39387: BytesColumnVector should not throw RuntimeException due 
to overflow") {

Review Comment:
   I saw one test failure with this in JDK 11:
   
   ```
   [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)
   ```
   
   https://github.com/apache/spark/runs/6919076419?check_suite_focus=true
   
   I filed a JIRA at SPARK-39515. Would be great if we can identify if it was 
just flakiness or actual test failure with JDK 11. 



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