Another thing to watch is HiveConf's thread safety. I see it uses many static variables, but not sure if this the cause.
On Tue, Aug 5, 2014 at 10:39 PM, Chao (JIRA) <j...@apache.org> wrote: > > [ > https://issues.apache.org/jira/browse/HIVE-7624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14087281#comment-14087281 > ] > > Chao commented on HIVE-7624: > ---------------------------- > > Hi [~brocknoland] and [~lirui], I tried cloning new jobConf today, and it > somehow still gave me the same error. Not sure why. > > > Reduce operator initialization failed when running multiple MR query on > spark > > > ----------------------------------------------------------------------------- > > > > Key: HIVE-7624 > > URL: https://issues.apache.org/jira/browse/HIVE-7624 > > Project: Hive > > Issue Type: Bug > > Components: Spark > > Reporter: Rui Li > > > > 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(ExecReducer.java:170) > > at > org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunction.call(HiveReduceFunction.java:53) > > at > org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunction.call(HiveReduceFunction.java:31) > > 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: java.lang.RuntimeException: cannot find field reducesinkkey0 > from [0:_col0] > > at > org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.getStandardStructFieldRef(ObjectInspectorUtils.java:415) > > at > org.apache.hadoop.hive.serde2.objectinspector.StandardStructObjectInspector.getStructFieldRef(StandardStructObjectInspector.java:147) > > … > > {quote} > > I suspect we're applying the reduce function in wrong order. > > > > -- > This message was sent by Atlassian JIRA > (v6.2#6252) >
