Hi Dibyendu, Thank you for your reply.
I am using Kafka https://github.com/dibbhatt/kafka-spark-consumer which uses spark-core and spark-streaming *1.2.2* Spark cluster on which I am running application is* 1.3.1* . I will test it with latest changes . Yes Underlying BlockManager gives error and tries 3 times and then die. Problem is even if it dies, I cant restart it because application status says running Looks like its related to the issue https://issues.apache.org/jira/browse/SPARK-5220 Thanks, Snehal On 8 June 2015 at 20:56, Dibyendu Bhattacharya < dibyendu.bhattach...@gmail.com> wrote: > Seems to be related to this JIRA : > https://issues.apache.org/jira/browse/SPARK-3612 ? > > > > On Tue, Jun 9, 2015 at 7:39 AM, Dibyendu Bhattacharya < > dibyendu.bhattach...@gmail.com> wrote: > >> Hi Snehal >> >> Are you running the latest kafka consumer from github/spark-packages ? If >> not can you take the latest changes. This low level receiver will make >> attempt to keep trying if underlying BlockManager gives error. Are you see >> those retry cycle in log ? If yes then there is issue writing blocks to >> blockmanager and spark not able to recover from this failure but Receivet >> keep trying .. >> >> Which version of Spark you are using ? >> >> Dibyendu >> On Jun 9, 2015 5:14 AM, "Snehal Nagmote" <nagmote.sne...@gmail.com> >> wrote: >> >>> All, >>> >>> I am using Kafka Spark Consumer >>> https://github.com/dibbhatt/kafka-spark-consumer in spark streaming >>> job . >>> >>> After spark streaming job runs for few hours , all executors exit and I >>> still see status of application on SPARK UI as running >>> >>> Does anyone know cause of this exception and how to fix this ? >>> >>> >>> WARN [sparkDriver-akka.actor.default-dispatcher-17:Logging$class@71] - >>> Error reported by receiver for stream 7: Error While Store for Partition >>> Partition{host=dal-kafka-broker01.bfd.walmart.com:9092, partition=27} - >>> org.apache.spark.SparkException: Error sending message [message = >>> UpdateBlockInfo(BlockManagerId(2, dfw-searcher.com, >>> 33621),input-7-1433793457165,StorageLevel(false, true, false, false, >>> 1),10492,0,0)] >>> at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:209) >>> at >>> org.apache.spark.storage.BlockManagerMaster.askDriverWithReply(BlockManagerMaster.scala:221) >>> at >>> org.apache.spark.storage.BlockManagerMaster.updateBlockInfo(BlockManagerMaster.scala:62) >>> at >>> org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$tryToReportBlockStatus(BlockManager.scala:384) >>> at >>> org.apache.spark.storage.BlockManager.reportBlockStatus(BlockManager.scala:360) >>> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:812) >>> at >>> org.apache.spark.storage.BlockManager.putIterator(BlockManager.scala:637) >>> at >>> org.apache.spark.streaming.receiver.BlockManagerBasedBlockHandler.storeBlock(ReceivedBlockHandler.scala:71) >>> at >>> org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.pushAndReportBlock(ReceiverSupervisorImpl.scala:161) >>> at >>> org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.pushIterator(ReceiverSupervisorImpl.scala:136) >>> at >>> org.apache.spark.streaming.receiver.Receiver.store(Receiver.scala:152) >>> at consumer.kafka.PartitionManager.next(PartitionManager.java:215) >>> at consumer.kafka.KafkaConsumer.createStream(KafkaConsumer.java:75) >>> at consumer.kafka.KafkaConsumer.run(KafkaConsumer.java:108) >>> at java.lang.Thread.run(Thread.java:745) >>> Caused by: java.util.concurrent.TimeoutException: Futures timed out after >>> [30 seconds] >>> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) >>> at >>> scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) >>> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) >>> at >>> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) >>> at scala.concurrent.Await$.result(package.scala:107) >>> at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) >>> >>> ... 14 more WARN >>> [sparkDriver-akka.actor.default-dispatcher-30:Logging$class@92] - Error >>> sending message [message = UpdateBlockInfo(BlockManagerId(<driver>, >>> dfw-searcher.com, 57286),broadcast_10665_piece0,StorageLevel(false, false, >>> false, false, 1),0,0,0)] in 2 attempts >>> java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] >>> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) >>> at >>> scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) >>> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) >>> at >>> akka.dispatch.MonitorableThreadFactory$AkkaForkJoinWorkerThread$$anon$3.block(ThreadPoolBuilder.scala:169) >>> at >>> scala.concurrent.forkjoin.ForkJoinPool.managedBlock(ForkJoinPool.java:3640) >>> at >>> akka.dispatch.MonitorableThreadFactory$AkkaForkJoinWorkerThread.blockOn(ThreadPoolBuilder.scala:167) >>> at scala.concurrent.Await$.result(package.scala:107) >>> at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) >>> at >>> org.apache.spark.storage.BlockManagerMaster.askDriverWithReply(BlockManagerMaster.scala:221) >>> at >>> org.apache.spark.storage.BlockManagerMaster.updateBlockInfo(BlockManagerMaster.scala:62) >>> at >>> org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$tryToReportBlockStatus(BlockManager.scala:384) >>> at >>> org.apache.spark.storage.BlockManager.reportBlockStatus(BlockManager.scala:360) >>> at >>> org.apache.spark.storage.BlockManager.removeBlock(BlockManager.scala:1104) >>> at >>> org.apache.spark.storage.BlockManager$$anonfun$removeBroadcast$2.apply(BlockManager.scala:1081) >>> at >>> org.apache.spark.storage.BlockManager$$anonfun$removeBroadcast$2.apply(BlockManager.scala:1081) >>> at scala.collection.immutable.Set$Set2.foreach(Set.scala:94) >>> at >>> org.apache.spark.storage.BlockManager.removeBroadcast(BlockManager.scala:1081) >>> at >>> org.apache.spark.storage.BlockManagerSlaveActor$$anonfun$receiveWithLogging$1$$anonfun$applyOrElse$4.apply$mcI$sp(BlockManagerSlaveActor.scala:63) >>> at >>> org.apache.spark.storage.BlockManagerSlaveActor$$anonfun$receiveWithLogging$1$$anonfun$applyOrElse$4.apply(BlockManagerSlaveActor.scala:63) >>> at >>> org.apache.spark.storage.BlockManagerSlaveActor$$anonfun$receiveWithLogging$1$$anonfun$applyOrElse$4.apply(BlockManagerSlaveActor.scala:63) >>> at >>> org.apache.spark.storage.BlockManagerSlaveActor$$anonfun$1.apply(BlockManagerSlaveActor.scala:76) >>> at >>> scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24) >>> at >>> scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24) >>> at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41) >>> 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) >>> >>> Thanks, >>> >>> Snehal >>> >> >
