[jira] [Commented] (SPARK-14870) NPE in generate aggregate

2016-04-25 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-14870?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15257244#comment-15257244
 ] 

Apache Spark commented on SPARK-14870:
--

User 'sameeragarwal' has created a pull request for this issue:
https://github.com/apache/spark/pull/12674

> NPE in generate aggregate
> -
>
> Key: SPARK-14870
> URL: https://issues.apache.org/jira/browse/SPARK-14870
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Reporter: Davies Liu
>Assignee: Sameer Agarwal
> Fix For: 2.0.0
>
>
> When ran TPCDS Q14a
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
> stage 126.0 failed 1 times, most recent failure: Lost task 0.0 in stage 126.0 
> (TID 234, localhost): java.lang.NullPointerException
>   at 
> org.apache.spark.sql.execution.vectorized.ColumnVector.putDecimal(ColumnVector.java:576)
>   at 
> org.apache.spark.sql.execution.vectorized.ColumnarBatch$Row.setDecimal(ColumnarBatch.java:325)
>   at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown
>  Source)
>   at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
>  Source)
>   at 
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
>   at 
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$7$$anon$1.hasNext(WholeStageCodegenExec.scala:361)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>   at 
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
>   at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
>   at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
>   at org.apache.spark.scheduler.Task.run(Task.scala:85)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:254)
>   at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>   at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>   at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
>   at 
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at 
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:809)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:809)
>   at scala.Option.foreach(Option.scala:257)
>   at 
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:809)
>   at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
>   at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
>   at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
>   at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>   at 
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1780)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1793)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1806)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1820)
>   at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:880)
>   at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>   at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>   at org.apache.spark.rdd.RDD.withScope(RDD.scala:357)
>   at org.apache.spark.rdd.RDD.collect(RDD.scala:879)
>   at 
> org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453)
>   at 
> org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply$mcI$sp(Dataset.scala:2367)
>   at 
> org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2367)
>   at 
> org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2367)
>   at 
> org.apache.spark.sq

[jira] [Commented] (SPARK-14870) NPE in generate aggregate

2016-04-24 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-14870?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255528#comment-15255528
 ] 

Apache Spark commented on SPARK-14870:
--

User 'sameeragarwal' has created a pull request for this issue:
https://github.com/apache/spark/pull/12651

> NPE in generate aggregate
> -
>
> Key: SPARK-14870
> URL: https://issues.apache.org/jira/browse/SPARK-14870
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Reporter: Davies Liu
>Assignee: Sameer Agarwal
>
> When ran TPCDS Q14a
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
> stage 126.0 failed 1 times, most recent failure: Lost task 0.0 in stage 126.0 
> (TID 234, localhost): java.lang.NullPointerException
>   at 
> org.apache.spark.sql.execution.vectorized.ColumnVector.putDecimal(ColumnVector.java:576)
>   at 
> org.apache.spark.sql.execution.vectorized.ColumnarBatch$Row.setDecimal(ColumnarBatch.java:325)
>   at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown
>  Source)
>   at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
>  Source)
>   at 
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
>   at 
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$7$$anon$1.hasNext(WholeStageCodegenExec.scala:361)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>   at 
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
>   at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
>   at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
>   at org.apache.spark.scheduler.Task.run(Task.scala:85)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:254)
>   at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>   at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>   at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
>   at 
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at 
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:809)
>   at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:809)
>   at scala.Option.foreach(Option.scala:257)
>   at 
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:809)
>   at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
>   at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
>   at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
>   at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>   at 
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1780)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1793)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1806)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:1820)
>   at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:880)
>   at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>   at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>   at org.apache.spark.rdd.RDD.withScope(RDD.scala:357)
>   at org.apache.spark.rdd.RDD.collect(RDD.scala:879)
>   at 
> org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453)
>   at 
> org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply$mcI$sp(Dataset.scala:2367)
>   at 
> org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2367)
>   at 
> org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2367)
>   at 
> org.apache.spark.sql.execution.SQLExecution$.withN