hive-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-8854) Guava dependency conflict between hive driver and remote spark context[Spark Branch]
Date Wed, 19 Nov 2014 20:32:34 GMT

    [ https://issues.apache.org/jira/browse/HIVE-8854?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14218453#comment-14218453
] 

Hive QA commented on HIVE-8854:
-------------------------------



{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/12681608/HIVE-8854.1-spark.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 7181 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hive.hcatalog.streaming.TestStreaming.testRemainingTransactions
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/393/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/393/console
Test logs: http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-393/

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: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12681608 - PreCommit-HIVE-SPARK-Build

> Guava dependency conflict between hive driver and remote spark context[Spark Branch]
> ------------------------------------------------------------------------------------
>
>                 Key: HIVE-8854
>                 URL: https://issues.apache.org/jira/browse/HIVE-8854
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Chengxiang Li
>            Assignee: Marcelo Vanzin
>              Labels: Spark-M3
>         Attachments: HIVE-8854.1-spark.patch, HIVE-8854.1-spark.patch, hive-dirver-classloader-info.output
>
>
> Hive driver would load guava 11.0.2 from hadoop/tez, while remote spark context depends
on guava 14.0.1, It should be JobMetrics deserialize failed on Hive driver side since Absent
is used in Metrics, here is the hive driver log:
> {noformat}
> java.lang.IllegalAccessError: tried to access method com.google.common.base.Optional.<init>()V
from class com.google.common.base.Absent
>         at com.google.common.base.Absent.<init>(Absent.java:35)
>         at com.google.common.base.Absent.<clinit>(Absent.java:33)
>         at sun.misc.Unsafe.ensureClassInitialized(Native Method)
>         at sun.reflect.UnsafeFieldAccessorFactory.newFieldAccessor(UnsafeFieldAccessorFactory.java:43)
>         at sun.reflect.ReflectionFactory.newFieldAccessor(ReflectionFactory.java:140)
>         at java.lang.reflect.Field.acquireFieldAccessor(Field.java:1057)
>         at java.lang.reflect.Field.getFieldAccessor(Field.java:1038)
>         at java.lang.reflect.Field.getLong(Field.java:591)
>         at java.io.ObjectStreamClass.getDeclaredSUID(ObjectStreamClass.java:1663)
>         at java.io.ObjectStreamClass.access$700(ObjectStreamClass.java:72)
>         at java.io.ObjectStreamClass$2.run(ObjectStreamClass.java:480)
>         at java.io.ObjectStreamClass$2.run(ObjectStreamClass.java:468)
>         at java.security.AccessController.doPrivileged(Native Method)
>         at java.io.ObjectStreamClass.<init>(ObjectStreamClass.java:468)
>         at java.io.ObjectStreamClass.lookup(ObjectStreamClass.java:365)
>         at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:602)
>         at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1622)
>         at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517)
>         at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
>         at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>         at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
>         at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>         at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>         at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>         at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
>         at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>         at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>         at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>         at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>         at akka.serialization.JavaSerializer$$anonfun$1.apply(Serializer.scala:136)
>         at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
>         at akka.serialization.JavaSerializer.fromBinary(Serializer.scala:136)
>         at akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104)
>         at scala.util.Try$.apply(Try.scala:161)
>         at akka.serialization.Serialization.deserialize(Serialization.scala:98)
>         at akka.remote.serialization.MessageContainerSerializer.fromBinary(MessageContainerSerializer.scala:63)
>         at akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104)
>         at scala.util.Try$.apply(Try.scala:161)
>         at akka.serialization.Serialization.deserialize(Serialization.scala:98)
>         at akka.remote.MessageSerializer$.deserialize(MessageSerializer.scala:23)
>         at akka.remote.DefaultMessageDispatcher.payload$lzycompute$1(Endpoint.scala:58)
>         at akka.remote.DefaultMessageDispatcher.payload$1(Endpoint.scala:58)
>         at akka.remote.DefaultMessageDispatcher.dispatch(Endpoint.scala:76)
>         at akka.remote.EndpointReader$$anonfun$receive$2.applyOrElse(Endpoint.scala:937)
>         at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>         at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:415)
>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>         at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>         at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>         at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
>         at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>         at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>         at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>         at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {noformat}
> and remote spark context log:
> {noformat}
> 2014-11-13 17:16:28,481 INFO  [task-result-getter-1]: scheduler.TaskSetManager (Logging.scala:logInfo(59))
- Finished task 0.0 in stage 1.0 (TID 1) in 439 ms on node14-4 (1/1)
> 2014-11-13 17:16:28,482 INFO  [sparkDriver-akka.actor.default-dispatcher-8]: scheduler.DAGScheduler
(Logging.scala:logInfo(59)) - Stage 1 (foreachAsync at RemoteHiveSparkClient.java:121) finished
in 0.452 s
> 2014-11-13 17:16:28,482 INFO  [task-result-getter-1]: scheduler.TaskSchedulerImpl (Logging.scala:logInfo(59))
- Removed TaskSet 1.0, whose tasks have all completed, from pool
> 2014-11-13 17:16:28,486 INFO  [08592e9f-19a2-413d-bc48-c871259c4d2e-akka.actor.default-dispatcher-4]:
remote.RemoteActorRefProvider$RemoteDeadLetterActorRef (Slf4jLogger.scala:apply$mcV$sp(74))
- Message [org.apache.hive.spark.client.Protocol$JobMetrics] from Actor[akka://08592e9f-19a2-413d-bc48-c871259c4d2e/user/RemoteDriver#-893697064]
to Actor[akka://08592e9f-19a2-413d-bc48-c871259c4d2e/deadLetters] was not delivered. [3] dead
letters encountered. This logging can be turned off or adjusted with configuration settings
'akka.log-dead-letters' and 'akka.log-dead-letters-during-shutdown'.
> 2014-11-13 17:16:28,494 INFO  [08592e9f-19a2-413d-bc48-c871259c4d2e-akka.actor.default-dispatcher-4]:
remote.RemoteActorRefProvider$RemoteDeadLetterActorRef (Slf4jLogger.scala:apply$mcV$sp(74))
- Message [org.apache.hive.spark.client.Protocol$JobResult] from Actor[akka://08592e9f-19a2-413d-bc48-c871259c4d2e/user/RemoteDriver#-893697064]
to Actor[akka://08592e9f-19a2-413d-bc48-c871259c4d2e/deadLetters] was not delivered. [4] dead
letters encountered. This logging can be turned off or adjusted with configuration settings
'akka.log-dead-letters' and 'akka.log-dead-letters-during-shutdown'.
> {noformat}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message