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 >
