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From "Sahil Takiar (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-17122) spark_vectorized_dynamic_partition_pruning.q is continuously failing
Date Wed, 19 Jul 2017 05:43:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-17122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sahil Takiar updated HIVE-17122:
--------------------------------
    Description: 
{code}
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:811)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
Caused by: java.lang.RuntimeException: Hive Runtime Error while closing operators: 1
        at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.close(SparkReduceRecordHandler.java:616)
        at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.closeRecordProcessor(HiveReduceFunctionResultList.java:67)
        at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:96)
        at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42)
        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$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ArrayIndexOutOfBoundsException: 1
        at org.apache.hadoop.hive.ql.exec.vector.VectorGroupKeyHelper.copyGroupKey(VectorGroupKeyHelper.java:107)
        at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeReduceMergePartial.doProcessBatch(VectorGroupByOperator.java:832)
        at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeBase.processBatch(VectorGroupByOperator.java:179)
        at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator.process(VectorGroupByOperator.java:1037)
        at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.forwardBatch(SparkReduceRecordHandler.java:542)
        at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.close(SparkReduceRecordHandler.java:584)
        ... 11 more
{code}

> spark_vectorized_dynamic_partition_pruning.q is continuously failing
> --------------------------------------------------------------------
>
>                 Key: HIVE-17122
>                 URL: https://issues.apache.org/jira/browse/HIVE-17122
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Sahil Takiar
>            Assignee: Sahil Takiar
>
> {code}
> 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:811)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
>         at scala.Option.foreach(Option.scala:257)
>         at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
>         at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
>         at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
>         at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
>         at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> Caused by: java.lang.RuntimeException: Hive Runtime Error while closing operators: 1
>         at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.close(SparkReduceRecordHandler.java:616)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.closeRecordProcessor(HiveReduceFunctionResultList.java:67)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:96)
>         at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42)
>         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$TaskRunner.run(Executor.scala:274)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>         at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 1
>         at org.apache.hadoop.hive.ql.exec.vector.VectorGroupKeyHelper.copyGroupKey(VectorGroupKeyHelper.java:107)
>         at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeReduceMergePartial.doProcessBatch(VectorGroupByOperator.java:832)
>         at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeBase.processBatch(VectorGroupByOperator.java:179)
>         at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator.process(VectorGroupByOperator.java:1037)
>         at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.forwardBatch(SparkReduceRecordHandler.java:542)
>         at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.close(SparkReduceRecordHandler.java:584)
>         ... 11 more
> {code}



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