[
https://issues.apache.org/jira/browse/HIVE-8854?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14210079#comment-14210079
]
Marcelo Vanzin commented on HIVE-8854:
--------------------------------------
Hmmm. The {{Optional}} mess is Spark's doing and shading doesn't help there,
since Spark exposes it in its public API.
I think the easier solution here is for the remote client to not use
{{Optional}} at all in its communication (and, in general, avoid third-party
libraries for types that are serialized).
> 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
> Labels: Spark-M3
>
> 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)
