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Posted to issues@hive.apache.org by "Aihua Xu (JIRA)" <ji...@apache.org> on 2016/11/03 15:05:59 UTC
[jira] [Updated] (HIVE-15054) Hive insertion query execution fails
on Hive on Spark
[ https://issues.apache.org/jira/browse/HIVE-15054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Aihua Xu updated HIVE-15054:
----------------------------
Attachment: (was: HIVE-15054.4.patch)
> 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, HIVE-15054.3.patch, HIVE-15054.4.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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