Usually Spark EMR job fails with the following exception in 1 hour 40 min - Job
cancelled because SparkContext was shut down
java.util.concurrent.RejectedExecutionException: Task
scala.concurrent.impl.CallbackRunnable@2d602a14 rejected from
java.util.concurrent.ThreadPoolExecutor@46a9e52[Terminated, pool size
= 0, active threads = 0, queued tasks = 0, completed tasks = 6294]
at
java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2048)
at
java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:821)
at
java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1372)
at
scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:133)
at
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
at scala.concurrent.Promise$class.complete(Promise.scala:55)
at
scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
at
org.spark-project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
at
scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:133)
at
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
at scala.concurrent.Promise$class.complete(Promise.scala:55)
at
scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
at
scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.processBatch$1(Future.scala:643)
at
scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply$mcV$sp(Future.scala:658)
at
scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
at
scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
at
scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
at
scala.concurrent.Future$InternalCallbackExecutor$Batch.run(Future.scala:634)
at
scala.concurrent.Future$InternalCallbackExecutor$.scala$concurrent$Future$InternalCallbackExecutor$$unbatchedExecute(Future.scala:694)
at
scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:685)
at
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
at scala.concurrent.Promise$class.complete(Promise.scala:55)
at
scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
at scala.concurrent.Future$$anonfun$flatMap$1.apply(Future.scala:249)
at scala.concurrent.Future$$anonfun$flatMap$1.apply(Future.scala:249)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
at
org.spark-project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
at
scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:133)
at
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
at
akka.pattern.PromiseActorRef$$anonfun$1.apply$mcV$sp(AskSupport.scala:334)
at akka.actor.Scheduler$$anon$7.run(Scheduler.scala:117)
at
scala.concurrent.Future$InternalCallbackExecutor$.scala$concurrent$Future$InternalCallbackExecutor$$unbatchedExecute(Future.scala:694)
at
scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:691)
at
akka.actor.LightArrayRevolverScheduler$TaskHolder.executeTask(Scheduler.scala:467)
at
akka.actor.LightArrayRevolverScheduler$$anon$8.executeBucket$1(Scheduler.scala:419)
at
akka.actor.LightArrayRevolverScheduler$$anon$8.nextTick(Scheduler.scala:423)
at
akka.actor.LightArrayRevolverScheduler$$anon$8.run(Scheduler.scala:375)
at java.lang.Thread.run(Thread.java:745)
Exception in thread "main" org.apache.spark.SparkException: Job
cancelled because SparkContext was shut down
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:703)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:702)
at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
at
org.apache.spark.scheduler.DAGScheduler.cleanUpAfterSchedulerStop(DAGScheduler.scala:702)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onStop(DAGScheduler.scala:1514)
at org.apache.spark.util.EventLoop.stop(EventLoop.scala:84)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1438)
at
org.apache.spark.SparkContext$$anonfun$stop$7.apply$mcV$sp(SparkContext.scala:1724)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1185)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1723)
at
org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:146)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.rdd.RDD$$anonfun$fold$1.apply(RDD.scala:1063)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at org.apache.spark.rdd.RDD.fold(RDD.scala:1057)
at
org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply$mcD$sp(DoubleRDDFunctions.scala:34)
at
org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply(DoubleRDDFunctions.scala:34)
at
org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply(DoubleRDDFunctions.scala:34)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at
org.apache.spark.rdd.DoubleRDDFunctions.sum(DoubleRDDFunctions.scala:33)
at
com.radius.core.util.SparkUtils$.estimateNewPartitionsNum(SparkUtils.scala:41)
at com.radius.core.util.SparkUtils$.coalesceRdd(SparkUtils.scala:35)
at com.radius.distiller.Distiller.saveExtract(Distiller.scala:75)
at com.radius.distiller.Execute$.run(Execute.scala:55)
at com.radius.distiller.Execute$.main(Execute.scala:29)
at com.radius.distiller.Execute.main(Execute.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Command exiting with ret '1'
On Sun, Dec 20, 2015 at 11:29 AM, Alexander Pivovarov <apivova...@gmail.com>
wrote:
> Or this message
>
> Exception in thread "main" org.apache.spark.SparkException: Job cancelled
> because SparkContext was shut down
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:703)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:702)
> at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
> at
> org.apache.spark.scheduler.DAGScheduler.cleanUpAfterSchedulerStop(DAGScheduler.scala:702)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onStop(DAGScheduler.scala:1514)
> at org.apache.spark.util.EventLoop.stop(EventLoop.scala:84)
> at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1438)
> at
> org.apache.spark.SparkContext$$anonfun$stop$7.apply$mcV$sp(SparkContext.scala:1724)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1185)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1723)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:146)
> at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1914)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1124)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1065)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:989)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:965)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:965)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:965)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:897)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:897)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:897)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:896)
> at
> org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1430)
> at
> org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1409)
> at
> org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1409)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
> at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1409)
> at
> com.radius.distiller.components.CondenseRecords.saveValidationQa(CondenseRecords.scala:65)
> at com.radius.distiller.Distiller.runCondenseRecords(Distiller.scala:49)
> at com.radius.distiller.Execute$.run(Execute.scala:56)
> at com.radius.distiller.Execute$.main(Execute.scala:33)
> at com.radius.distiller.Execute.main(Execute.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>
>
> On Sun, Dec 20, 2015 at 11:28 AM, Alexander Pivovarov <
> apivova...@gmail.com> wrote:
>
>> it can also fail with the following message
>>
>> Exception in thread "main" org.apache.spark.SparkException: Job aborted due
>> to stage failure: Task 133 in stage 33.1 failed 4 times, most recent
>> failure: Lost task 133.3 in stage 33.1 (TID 172737,
>> ip-10-0-25-2.ec2.internal): java.io.IOException: Failed to connect to
>> ip-10-0-25-2.ec2.internal/10.0.25.2:48048
>> at
>> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193)
>> at
>> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
>> at
>> org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:88)
>> at
>> org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
>> at
>> org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
>> at
>> org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
>> at
>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
>> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
>> at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>> at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>> at java.lang.Thread.run(Thread.java:745)
>> Caused by: java.net.ConnectException: Connection refused:
>> ip-10-0-25-2.ec2.internal/10.0.25.2:48048
>> at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
>> at
>> sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:744)
>> at
>> io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
>> at
>> io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
>> at
>> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
>> at
>> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
>> at
>> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
>> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
>> at
>> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
>> ... 1 more
>>
>> Driver stacktrace:
>> at
>> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
>> at
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
>> at
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
>> at
>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>> at
>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
>> at
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
>> at
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
>> at scala.Option.foreach(Option.scala:236)
>> at
>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
>> at
>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
>> at
>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
>> at
>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
>> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>> at
>> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1914)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1124)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
>> at
>> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1065)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:989)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:965)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:965)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
>> at
>> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:965)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:897)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:897)
>> at
>> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:897)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
>> at
>> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:896)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1430)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1409)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1409)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
>> at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1409)
>> at
>> com.radius.distiller.components.CondenseRecords.saveValidationQa(CondenseRecords.scala:65)
>> at com.radius.distiller.Distiller.runCondenseRecords(Distiller.scala:49)
>> at com.radius.distiller.Execute$.run(Execute.scala:56)
>> at com.radius.distiller.Execute$.main(Execute.scala:33)
>> at com.radius.distiller.Execute.main(Execute.scala)
>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>> at
>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>> at
>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>> at java.lang.reflect.Method.invoke(Method.java:606)
>> at
>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
>> at
>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
>> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
>> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
>> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>> Caused by: java.io.IOException: Failed to connect to
>> ip-10-0-25-2.ec2.internal/10.0.25.2:48048
>> at
>> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193)
>> at
>> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
>> at
>> org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:88)
>> at
>> org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
>> at
>> org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
>> at
>> org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
>> at
>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
>> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
>> at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>> at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>> at java.lang.Thread.run(Thread.java:745)
>> Caused by: java.net.ConnectException: Connection refused:
>> ip-10-0-25-2.ec2.internal/10.0.25.2:48048
>> at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
>> at
>> sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:744)
>> at
>> io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
>> at
>> io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
>> at
>> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
>> at
>> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
>> at
>> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
>> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
>> at
>> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
>> ... 1 more
>>
>>
>> On Sun, Dec 20, 2015 at 10:42 AM, Alexander Pivovarov <
>> apivova...@gmail.com> wrote:
>>
>>> I run Spark 1.5.2 on YARN (EMR)
>>>
>>> I noticed that my long running jobs always failed after 1h 40 min
>>> (6000s) with the exceptions below.
>>>
>>> Then I found that Spark has spark.akka.heartbeat.pauses=6000s by default
>>>
>>> I changed the settings to the following and it solve my issue.
>>>
>>> "spark.akka.heartbeat.pauses": "60000s",
>>> "spark.akka.heartbeat.interval": "10000s"
>>>
>>>
>>>
>>> RROR ErrorMonitor - Uncaught fatal error from thread
>>> [sparkDriver-akka.remote.default-remote-dispatcher-6] shutting down
>>> ActorSystem [sparkDriver]
>>> java.lang.OutOfMemoryError: Java heap space
>>> at com.google.protobuf.ByteString.copyFrom(ByteString.java:192)
>>> at com.google.protobuf.ByteString.copyFrom(ByteString.java:204)
>>> at akka.remote.MessageSerializer$.serialize(MessageSerializer.scala:36)
>>> at
>>> akka.remote.EndpointWriter$$anonfun$serializeMessage$1.apply(Endpoint.scala:843)
>>> at
>>> akka.remote.EndpointWriter$$anonfun$serializeMessage$1.apply(Endpoint.scala:843)
>>> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
>>> at akka.remote.EndpointWriter.serializeMessage(Endpoint.scala:842)
>>> at akka.remote.EndpointWriter.writeSend(Endpoint.scala:743)
>>> at akka.remote.EndpointWriter$$anonfun$2.applyOrElse(Endpoint.scala:718)
>>> at akka.actor.Actor$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)
>>> at
>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
>>> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>> ERROR ActorSystemImpl - Uncaught fatal error from thread
>>> [sparkDriver-akka.remote.default-remote-dispatcher-6] shutting down
>>> ActorSystem [sparkDriver]
>>> java.lang.OutOfMemoryError: Java heap space
>>> at com.google.protobuf.ByteString.copyFrom(ByteString.java:192)
>>> at com.google.protobuf.ByteString.copyFrom(ByteString.java:204)
>>> 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:57)
>>> at akka.remote.EndpointWriter.serializeMessage(Endpoint.scala:842)
>>> at akka.remote.EndpointWriter.writeSend(Endpoint.scala:743)
>>> at akka.remote.EndpointWriter$$anonfun$2.applyOrElse(Endpoint.scala:718)
>>> at akka.actor.Actor$class.aroundReceive(Actor.scala:467)
>>> at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:411)
>>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>>> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>>> at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>>> at
>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
>>> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>> ERROR ActorSystemImpl - Uncaught fatal error from thread
>>> [sparkDriver-akka.remote.default-remote-dispatcher-5] shutting down
>>> ActorSystem [sparkDriver]
>>> java.lang.OutOfMemoryError: Java heap space
>>> at java.util.Arrays.copyOf(Arrays.java:2271)
>>> at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:118)
>>> at
>>> java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
>>> at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153)
>>> at
>>> java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1876)
>>> at
>>> java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1785)
>>> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1188)
>>> at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
>>> at
>>> akka.serialization.JavaSerializer$$anonfun$toBinary$1.apply$mcV$sp(Serializer.scala:129)
>>> at
>>> akka.serialization.JavaSerializer$$anonfun$toBinary$1.apply(Serializer.scala:129)
>>> at
>>> akka.serialization.JavaSerializer$$anonfun$toBinary$1.apply(Serializer.scala:129)
>>> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
>>> at akka.serialization.JavaSerializer.toBinary(Serializer.scala:129)
>>> at akka.remote.MessageSerializer$.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:57)
>>> at akka.remote.EndpointWriter.serializeMessage(Endpoint.scala:842)
>>> at akka.remote.EndpointWriter.writeSend(Endpoint.scala:743)
>>> at akka.remote.EndpointWriter$$anonfun$2.applyOrElse(Endpoint.scala:718)
>>> at akka.actor.Actor$class.aroundReceive(Actor.scala:467)
>>> at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:411)
>>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>>> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>>> at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>>> at
>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
>>> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>> ERROR ActorSystemImpl - Uncaught fatal error from thread
>>> [sparkDriver-akka.remote.default-remote-dispatcher-6] shutting down
>>> ActorSystem [sparkDriver]
>>> java.lang.OutOfMemoryError: Java heap space
>>> at
>>> com.google.protobuf.AbstractMessageLite.toByteArray(AbstractMessageLite.java:62)
>>> at
>>> akka.remote.transport.AkkaPduProtobufCodec$.constructMessage(AkkaPduCodec.scala:138)
>>> at akka.remote.EndpointWriter.writeSend(Endpoint.scala:740)
>>> at akka.remote.EndpointWriter$$anonfun$2.applyOrElse(Endpoint.scala:718)
>>> at akka.actor.Actor$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)
>>> at
>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
>>> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>> at
>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>>
>>> at
>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>>
>>>
>>
>>
>
