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From "Brock Noland (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-7773) Union all query finished with errors [Spark Branch]
Date Tue, 19 Aug 2014 21:03:18 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7773?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Brock Noland updated HIVE-7773:
-------------------------------

    Resolution: Fixed
        Status: Resolved  (was: Patch Available)

Thank you so much for your contribution Rui! I have committed this to spark!

> Union all query finished with errors [Spark Branch]
> ---------------------------------------------------
>
>                 Key: HIVE-7773
>                 URL: https://issues.apache.org/jira/browse/HIVE-7773
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Rui Li
>            Assignee: Rui Li
>            Priority: Critical
>         Attachments: HIVE-7773.2-spark.patch, HIVE-7773.spark.patch
>
>
> When I run a union all query, I found the following error in spark log (the query finished
with correct results though):
> {noformat}
> java.lang.RuntimeException: Map operator initialization failed
>         at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.init(SparkMapRecordHandler.java:127)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunction.call(HiveMapFunction.java:52)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunction.call(HiveMapFunction.java:30)
>         at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:164)
>         at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:164)
>         at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
>         at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
>         at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>         at org.apache.spark.scheduler.Task.run(Task.scala:54)
>         at org.apache.spark.executor.Executor$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:744)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.hive.ql.metadata.HiveException:
Configuration and input path are inconsistent
>         at org.apache.hadoop.hive.ql.exec.MapOperator.setChildren(MapOperator.java:404)
>         at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.init(SparkMapRecordHandler.java:93)
>         ... 16 more
> {noformat}
> Judging from the log, I think we don't properly handle the input paths when cloning the
job conf, so it may also affect other queries with multiple maps or reduces.



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