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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/08 22:32:21 UTC
[jira] [Commented] (SPARK-15791) NPE in ScalarSubquery
[ https://issues.apache.org/jira/browse/SPARK-15791?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15321574#comment-15321574 ]
Apache Spark commented on SPARK-15791:
--------------------------------------
User 'ericl' has created a pull request for this issue:
https://github.com/apache/spark/pull/13569
> NPE in ScalarSubquery
> ---------------------
>
> Key: SPARK-15791
> URL: https://issues.apache.org/jira/browse/SPARK-15791
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Davies Liu
> Assignee: Eric Liang
>
> {code}
> Job aborted due to stage failure: Task 0 in stage 146.0 failed 4 times, most recent failure: Lost task 0.3 in stage 146.0 (TID 48828, 10.0.206.208): java.lang.NullPointerException
> at org.apache.spark.sql.execution.ScalarSubquery.dataType(subquery.scala:45)
> at org.apache.spark.sql.catalyst.expressions.CaseWhenBase.dataType(conditionalExpressions.scala:103)
> at org.apache.spark.sql.catalyst.expressions.Alias.toAttribute(namedExpressions.scala:165)
> at org.apache.spark.sql.execution.ProjectExec$$anonfun$output$1.apply(basicPhysicalOperators.scala:33)
> at org.apache.spark.sql.execution.ProjectExec$$anonfun$output$1.apply(basicPhysicalOperators.scala:33)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.sql.execution.ProjectExec.output(basicPhysicalOperators.scala:33)
> at org.apache.spark.sql.execution.WholeStageCodegenExec.output(WholeStageCodegenExec.scala:291)
> at org.apache.spark.sql.execution.DeserializeToObjectExec$$anonfun$2.apply(objects.scala:85)
> at org.apache.spark.sql.execution.DeserializeToObjectExec$$anonfun$2.apply(objects.scala:84)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:775)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:775)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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