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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-7799) TRANSFORM failed in transform_ppr1.q[Spark Branch]
Date Fri, 29 May 2015 02:29:35 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7799?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang updated HIVE-7799:
------------------------------
    Fix Version/s:     (was: spark-branch)
                   1.1.0

> TRANSFORM failed in transform_ppr1.q[Spark Branch]
> --------------------------------------------------
>
>                 Key: HIVE-7799
>                 URL: https://issues.apache.org/jira/browse/HIVE-7799
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>            Reporter: Chengxiang Li
>            Assignee: Chengxiang Li
>              Labels: Spark-M1
>             Fix For: 1.1.0
>
>         Attachments: HIVE-7799.1-spark.patch, HIVE-7799.2-spark.patch, HIVE-7799.3-spark.patch
>
>
> Here is the exception:
> {noformat}
> 2014-08-20 01:14:36,594 ERROR executor.Executor (Logging.scala:logError(96)) - Exception
in task 0.0 in stage 1.0 (TID 0)
> java.lang.NullPointerException
>         at org.apache.hadoop.hive.ql.exec.spark.HiveKVResultCache.next(HiveKVResultCache.java:113)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.next(HiveBaseFunctionResultList.java:124)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.next(HiveBaseFunctionResultList.java:82)
>         at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:42)
>         at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>         at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>         at org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:65)
>         at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
>         at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>         at org.apache.spark.scheduler.Task.run(Task.scala:54)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:722)
> {noformat}
> Basically, the cause is that RowContainer is misused(it's not allowed to write once someone
read row from it), i'm trying to figure out whether it's a hive issue or just in hive on spark
mode.



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