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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/01/16 22:17:34 UTC
[jira] [Commented] (SPARK-5284) Insert into Hive throws NPE when a
inner complex type field has a null value
[ https://issues.apache.org/jira/browse/SPARK-5284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14280835#comment-14280835 ]
Apache Spark commented on SPARK-5284:
-------------------------------------
User 'yhuai' has created a pull request for this issue:
https://github.com/apache/spark/pull/4077
> Insert into Hive throws NPE when a inner complex type field has a null value
> ----------------------------------------------------------------------------
>
> Key: SPARK-5284
> URL: https://issues.apache.org/jira/browse/SPARK-5284
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
>
> For a table like the following one,
> {code}
> CREATE TABLE nullValuesInInnerComplexTypes
> (s struct<innerStruct: struct<s1:string>,
> innerArray:array<int>,
> innerMap: map<string, int>>)
> {code}
> When we want to insert a row like this
> {code}
> Row(Row(null, null, null))
> {code}
> Will get a NPE
> {code}
> [info] org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 1 times, most recent failure: Lost task 1.0 in stage 0.0 (TID 1, localhost): java.lang.NullPointerException
> [info] at scala.runtime.Tuple3Zipped$.foreach$extension(Tuple3Zipped.scala:105)
> [info] at org.apache.spark.sql.hive.HiveInspectors$$anonfun$wrapperFor$3.apply(HiveInspectors.scala:351)
> [info] at org.apache.spark.sql.hive.HiveInspectors$$anonfun$wrapperFor$3$$anonfun$apply$4.apply(HiveInspectors.scala:351)
> [info] at org.apache.spark.sql.hive.HiveInspectors$$anonfun$wrapperFor$3$$anonfun$apply$4.apply(HiveInspectors.scala:351)
> [info] at scala.runtime.Tuple3Zipped$$anonfun$foreach$extension$1.apply(Tuple3Zipped.scala:109)
> [info] at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> [info] at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> [info] at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> [info] at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> [info] at scala.runtime.Tuple3Zipped$.foreach$extension(Tuple3Zipped.scala:107)
> [info] at org.apache.spark.sql.hive.HiveInspectors$$anonfun$wrapperFor$3.apply(HiveInspectors.scala:351)
> [info] at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:108)
> [info] at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:105)
> [info] at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> [info] at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> [info] at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:105)
> [info] at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:87)
> [info] at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:87)
> [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> [info] at org.apache.spark.scheduler.Task.run(Task.scala:64)
> [info] at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:192)
> [info] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> [info] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> [info] at java.lang.Thread.run(Thread.java:745)
> [info]
> [info] Driver stacktrace:
> [info] at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1199)
> [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1188)
> [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1187)
> [info] at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> [info] at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> [info] at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1187)
> [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
> [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
> [info] at scala.Option.foreach(Option.scala:236)
> [info] at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
> [info] at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1399)
> [info] at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> [info] at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1360)
> [info] at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> [info] at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> [info] at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
> [info] at akka.dispatch.Mailbox.run(Mailbox.scala:220)
> [info] at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
> [info] at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> [info] at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> [info] at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> [info] at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {code}
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