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Marcelo Vanzin commented on HIVE-8854: -------------------------------------- Not sure. I'm looking at HIVE-8833 (https://reviews.apache.org/r/27987), and if you really want to support in-process SparkContext like that, then you need Guava 14. > 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-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)