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From "Rui Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-15054) Hive insertion query execution fails on Hive on Spark
Date Fri, 28 Oct 2016 06:12:58 GMT

    [ https://issues.apache.org/jira/browse/HIVE-15054?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15614437#comment-15614437
] 

Rui Li commented on HIVE-15054:
-------------------------------

Hi [~aihuaxu], I don't know for sure either.
My hunch is that since taskAttemptId are all unique numbers, how can hive know whether two
attempts are for the same task or not?

> Hive insertion query execution fails on Hive on Spark
> -----------------------------------------------------
>
>                 Key: HIVE-15054
>                 URL: https://issues.apache.org/jira/browse/HIVE-15054
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>    Affects Versions: 2.0.0
>            Reporter: Aihua Xu
>            Assignee: Aihua Xu
>         Attachments: HIVE-15054.1.patch, HIVE-15054.2.patch
>
>
> The query of {{insert overwrite table tbl1}} sometimes will fail with the following errors.
Seems we are constructing taskAttemptId with partitionId which is not unique if there are
multiple attempts.
> {noformat}
> ava.lang.IllegalStateException: Hit error while closing operators - failing tree: org.apache.hadoop.hive.ql.metadata.HiveException:
Unable to rename output from: hdfs://table1/.hive-staging_hive_2016-06-14_01-53-17_386_3231646810118049146-9/_task_tmp.-ext-10002/_tmp.002148_0
to: hdfs://table1/.hive-staging_hive_2016-06-14_01-53-17_386_3231646810118049146-9/_tmp.-ext-10002/002148_0
> at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.close(SparkMapRecordHandler.java:202)
> at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.closeRecordProcessor(HiveMapFunctionResultList.java:58)
> at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.hasNext(HiveBaseFunctionResultList.java:106)
> at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$15.apply(AsyncRDDActions.scala:120)
> {noformat}



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