[ 
https://issues.apache.org/jira/browse/HIVE-8911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14245401#comment-14245401
 ] 

Chao commented on HIVE-8911:
----------------------------

bucketmapjoin10 failed because of the IndexOutOfBoundException:

{noformat}
java.lang.RuntimeException: Hive Runtime Error while closing operators
        at 
org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.close(SparkMapRecordHandler.java:207)
        at 
org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.closeRecordProcessor(HiveMapFunctionResultList.java:57)
        at 
org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.hasNext(HiveBaseFunctionResultList.java:108)
        at 
scala.collection.convert.Wrappers$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$$anonfun$foreachAsync$2.apply(AsyncRDDActions.scala:115)
        at 
org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$2.apply(AsyncRDDActions.scala:115)
        at 
org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1390)
        at 
org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1390)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
        at org.apache.spark.scheduler.Task.run(Task.scala:56)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
        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: 
java.lang.IndexOutOfBoundsException: Index: 1, Size: 1
        at 
org.apache.hadoop.hive.ql.exec.SparkHashTableSinkOperator.closeOp(SparkHashTableSinkOperator.java:87)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:598)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
        at 
org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.close(SparkMapRecordHandler.java:185)
        ... 15 more
Caused by: java.lang.IndexOutOfBoundsException: Index: 1, Size: 1
        at java.util.ArrayList.rangeCheck(ArrayList.java:635)
        at java.util.ArrayList.get(ArrayList.java:411)
        at 
org.apache.hadoop.hive.ql.exec.persistence.MapJoinEagerRowContainer.first(MapJoinEagerRowContainer.java:70)
        at 
org.apache.hadoop.hive.ql.exec.persistence.MapJoinEagerRowContainer.write(MapJoinEagerRowContainer.java:149)
        at 
org.apache.hadoop.hive.ql.exec.persistence.MapJoinTableContainerSerDe.persist(MapJoinTableContainerSerDe.java:170)
        at 
org.apache.hadoop.hive.ql.exec.SparkHashTableSinkOperator.flushToFile(SparkHashTableSinkOperator.java:142)
        at 
org.apache.hadoop.hive.ql.exec.SparkHashTableSinkOperator.closeOp(SparkHashTableSinkOperator.java:81)
        ... 20 more
{noformat}

This run may have not used the patch from HIVE-8982 - it is committed at 
07:33am, while the run ended at 07:49am.

> Enable mapjoin hints [Spark Branch]
> -----------------------------------
>
>                 Key: HIVE-8911
>                 URL: https://issues.apache.org/jira/browse/HIVE-8911
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>    Affects Versions: spark-branch
>            Reporter: Szehon Ho
>            Assignee: Chao
>         Attachments: HIVE-8911.1-spark.patch, HIVE-8911.2-spark.patch, 
> HIVE-8911.3-spark.patch, HIVE-8911.4-spark.patch, HIVE-8911.5-spark.patch, 
> HIVE-8911.6-spark.patch
>
>
> Currently the big table selection in a mapjoin is based on stats.
> We should also enable the big-table selection based on hints.  See class 
> MapJoinProcessor.  This is a logical-optimizer class, so we should be able to 
> re-use this without too many changes to hook up with SparkMapJoinResolver.



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