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https://issues.apache.org/jira/browse/HIVE-7799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14109246#comment-14109246
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Venki Korukanti commented on HIVE-7799:
---------------------------------------

[~chengxiang li] Your plan sounds good. Lets log a JIRA to enable lazy 
computing and we will revisit in milestone 4.

> 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
>         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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