[HIVE-8854] Guava dependency conflict between hive driver and remote spark context[Spark Branch]

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.1.0
• Component/s: Spark
• Labels: Spark-M3
• Assignee: Marcelo Masiero Vanzin
• Reporter: Chengxiang Li
• Created: 13/Nov/14 09:10
• Updated: 29/May/15 02:31
• Resolved: 19/Nov/14 21:43

Description

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:

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)

and remote spark context log:

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'.

Issue Links

• is related to: HIVE-8878 Downgrade guava version to be consistent with Hive and the rest of Hadoop [Spark Branch]
• is related to: HIVE-7387 Guava version conflict between hadoop and spark [Spark-Branch]
• relates to: HIVE-8903 downgrade guava version for spark branch from 14.0.1 to 11.0.2.[Spark Branch]
• links to: RB Review