My driver is running OOM with my 4T data set... I don't collect any data to driver. All what the program done is map - reduce - saveAsTextFile. But the partitions to be shuffled is quite large - 20K+.
The symptom what I'm seeing the timeout when GetMapOutputStatuses from Driver. 15/12/24 02:04:21 INFO spark.MapOutputTrackerWorker: Don't have map outputs for shuffle 0, fetching them 15/12/24 02:04:21 INFO spark.MapOutputTrackerWorker: Doing the fetch; tracker endpoint = AkkaRpcEndpointRef(Actor[akka.tcp://sparkDriver@10.115.58.55:52077/user/MapOutputTracker#-1937024516]) 15/12/24 02:06:21 WARN akka.AkkaRpcEndpointRef: Error sending message [message = GetMapOutputStatuses(0)] in 1 attempts org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120 seconds]. This timeout is controlled by spark.rpc.askTimeout at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcEnv.scala:214) at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcEnv.scala:229) at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcEnv.scala:225) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcEnv.scala:242) But the root cause is OOM: 15/12/24 02:05:36 ERROR actor.ActorSystemImpl: Uncaught fatal error from thread [sparkDriver-akka.remote.default-remote-dispatcher-24] shutting down ActorSystem [sparkDriver] java.lang.OutOfMemoryError: Java heap space at java.util.Arrays.copyOf(Arrays.java:2271) at java.io.ByteArrayOutputStream.toByteArray(ByteArrayOutputStream.java:178) at akka.serialization.JavaSerializer.toBinary(Serializer.scala:131) at akka.remote.MessageSerializer$.serialize(MessageSerializer.scala:36) at akka.remote.EndpointWriter$$anonfun$serializeMessage$1.apply(Endpoint.scala:843) at akka.remote.EndpointWriter$$anonfun$serializeMessage$1.apply(Endpoint.scala:843) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) at akka.remote.EndpointWriter.serializeMessage(Endpoint.scala:842) at akka.remote.EndpointWriter.writeSend(Endpoint.scala:743) at akka.remote.EndpointWriter$$anonfun$4.applyOrElse(Endpoint.scala:718) at akka.actor.Actor$class.aroundReceive(Actor.scala:467) at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:411) 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) I've already allocated 16G memory for my driver - which is the hard limit MAX of my Yarn cluster. And I also applied Kryo serialization... Any idea to reduce memory foot point? And what confuses me is that, even I have 20K+ partition to shuffle, why I need so much memory?! Thank you so much for any help! -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Help-Driver-OOM-when-shuffle-large-amount-of-data-tp25818.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org