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Date: Mon, 11 Aug 2014 15:38:15 +0000 (UTC)
From: "Brock Noland (JIRA)" <jira@apache.org>
To: hive-dev@hadoop.apache.org
Message-ID: <JIRA.12732199.1407288773577.55843.1407771495053@arcas>
In-Reply-To: <JIRA.12732199.1407288773577@arcas>
References: <JIRA.12732199.1407288773577@arcas>
Subject: [jira] [Commented] (HIVE-7624) Reduce operator initialization
 failed when running multiple MR query on spark
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    [ https://issues.apache.org/jira/browse/HIVE-7624?page=3Dcom.atlassian.=
jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D14092=
900#comment-14092900 ]=20

Brock Noland commented on HIVE-7624:
------------------------------------

Nice work!!

bq. The patch does not appear to apply with p0, p1, or p2

Looks like the patch needs to be rebased.

> Reduce operator initialization failed when running multiple MR query on s=
park
> -------------------------------------------------------------------------=
----
>
>                 Key: HIVE-7624
>                 URL: https://issues.apache.org/jira/browse/HIVE-7624
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>            Reporter: Rui Li
>            Assignee: Rui Li
>         Attachments: HIVE-7624.2-spark.patch, HIVE-7624.3-spark.patch, HI=
VE-7624.4-spark.patch, HIVE-7624.5-spark.patch, HIVE-7624.patch
>
>
> The following error occurs when I try to run a query with multiple reduce=
 works (M->R->R):
> {quote}
> 14/08/05 12:17:07 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID=
 1)
> java.lang.RuntimeException: Reduce operator initialization failed
>         at org.apache.hadoop.hive.ql.exec.mr.ExecReducer.configure(ExecRe=
ducer.java:170)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunction.call(H=
iveReduceFunction.java:53)
>         at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunction.call(H=
iveReduceFunction.java:31)
>         at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(Ja=
vaRDDLike.scala:164)
>         at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(Ja=
vaRDDLike.scala:164)
>         at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
>         at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD=
.scala:35)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262=
)
>        at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTa=
sk.scala:68)
>         at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTa=
sk.scala:41)
>         at org.apache.spark.scheduler.Task.run(Task.scala:54)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.sca=
la:199)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolEx=
ecutor.java:1145)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolE=
xecutor.java:615)
>         at java.lang.Thread.run(Thread.java:744)
> Caused by: java.lang.RuntimeException: cannot find field reducesinkkey0 f=
rom [0:_col0]
>         at org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorU=
tils.getStandardStructFieldRef(ObjectInspectorUtils.java:415)
>         at org.apache.hadoop.hive.serde2.objectinspector.StandardStructOb=
jectInspector.getStructFieldRef(StandardStructObjectInspector.java:147)
> =E2=80=A6
> {quote}
> I suspect we're applying the reduce function in wrong order.


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