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https://issues.apache.org/jira/browse/HIVE-8545?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14180904#comment-14180904
 ] 

Hive QA commented on HIVE-8545:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12676491/HIVE-8545.4-spark.patch

{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 6772 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_tez_smb_1
org.apache.hadoop.hive.ql.txn.compactor.TestCompactor.testStatsAfterCompactionPartTbl
{noformat}

Test results: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/252/testReport
Console output: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/252/console
Test logs: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-252/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 3 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12676491 - PreCommit-HIVE-SPARK-Build

> Exception when casting Text to BytesWritable [Spark Branch]
> -----------------------------------------------------------
>
>                 Key: HIVE-8545
>                 URL: https://issues.apache.org/jira/browse/HIVE-8545
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>            Reporter: Chao
>            Assignee: Chao
>         Attachments: HIVE-8545.1-spark.patch, HIVE-8545.2-spark.patch, 
> HIVE-8545.3-spark.patch, HIVE-8545.4-spark.patch
>
>
> With the current multi-insertion implementation, when caching is enabled for 
> input RDD, query may fail with the following exception:
> {noformat}
> 2014-10-21 13:57:34,742 WARN  [task-result-getter-0]: 
> scheduler.TaskSetManager (Logging.scala:logWarning(71)) - Lost task 0.0 in 
> stage 1.0 (TID 1, localhost): java.lang.ClassCastException: 
> org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.BytesWritable
>         
> org.apache.hadoop.hive.ql.exec.spark.MapInput$CopyFunction.call(MapInput.java:67)
>         
> org.apache.hadoop.hive.ql.exec.spark.MapInput$CopyFunction.call(MapInput.java:61)
>         
> org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1002)
>         
> org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1002)
>         scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>         
> org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:234)
>         
> org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:163)
>         org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:70)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
>         
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
>         
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>         org.apache.spark.scheduler.Task.run(Task.scala:56)
>         org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
>         
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         java.lang.Thread.run(Thread.java:745)
> {noformat}
> The fix should be easy. However, interestingly, this error doesn't show up 
> when the caching is turned off. We need to find out why.



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