Hi Hari Yes I started Flume agent to push data to the relevant port. Below mentioned are the conf files for flume configurations
Test21.conf # Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = avro a1.sources.r1.bind = localhost a1.sources.r1.port = 2323 # Describe the sink a1.sinks.k1.type = logger # Use a channel which buffers events in memory a1.channels.c1.type = memory a1.channels.c1.capacity = 1000 a1.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1 Command used is bin/flume-ng agent -n a1 -c conf -f conf/test21.conf -Dflume.root.logger=INFO,console Test12.conf agent1.sources = seqGenSrc agent1.sinks = avrosink agent1.channels = memoryChannel agent1.sources.seqGenSrc.type = exec agent1.sources.seqGenSrc.command = tail -f /home/huser/access.log agent1.sources.seqGenSrc.batch-size = 1 agent1.sinks.avrosink.type = avro agent1.sinks.avrosink.hostname = localhost agent1.sinks.avrosink.port = 2323 agent1.sinks.arvosink.batch-size = 100 agent1.sinks.arvosink.connect-timeout = 60000 agent1.sinks.avrosink.request-timeout = 60000 agent1.channels.memoryChannel.type = memory agent1.channels.memoryChannel.capacity = 1000 agent1.channels.memoryChannel.transactionCapacity = 100 agent1.sources.seqGenSrc.channels = memoryChannel agent1.sinks.avrosink.channel = memoryChannel Command used is bin/flume-ng agent -n agent1 -c conf -f conf/test12.conf -Dflume.root.logger=DEBUG,console Even after changing the port several times, still Iam facing with the same issues, Kindly look into my conf file and just let me know the steps. Regards, Jeniba Johnson From: Hari Shreedharan [mailto:hshreedha...@cloudera.com] Sent: Tuesday, November 11, 2014 1:06 PM To: Jeniba Johnson Cc: dev@spark.apache.org Subject: Re: Bind exception while running FlumeEventCount Did you start a Flume agent to push data to the relevant port? Thanks, Hari On Fri, Nov 7, 2014 at 2:05 PM, Jeniba Johnson <jeniba.john...@lntinfotech.com<mailto:jeniba.john...@lntinfotech.com>> wrote: Hi, I have installed spark-1.1.0 and apache flume 1.4 for running streaming example FlumeEventCount. Previously the code was working fine. Now Iam facing with the below mentioned issues. My flume is running properly it is able to write the file. The command I use is bin/run-example org.apache.spark.examples.streaming.FlumeEventCount 172.29.17.178 65001 14/11/07 23:19:23 INFO receiver.ReceiverSupervisorImpl: Stopping receiver with message: Error starting receiver 0: org.jboss.netty.channel.ChannelException: Failed to bind to: /172.29.17.178:65001 14/11/07 23:19:23 INFO flume.FlumeReceiver: Flume receiver stopped 14/11/07 23:19:23 INFO receiver.ReceiverSupervisorImpl: Called receiver onStop 14/11/07 23:19:23 INFO receiver.ReceiverSupervisorImpl: Deregistering receiver 0 14/11/07 23:19:23 ERROR scheduler.ReceiverTracker: Deregistered receiver for stream 0: Error starting receiver 0 - org.jboss.netty.channel.ChannelException: Failed to bind to: /172.29.17.178:65001 at org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:106) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:119) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:74) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:68) at org.apache.spark.streaming.flume.FlumeReceiver.initServer(FlumeInputDStream.scala:164) at org.apache.spark.streaming.flume.FlumeReceiver.onStart(FlumeInputDStream.scala:171) at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121) at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:257) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) at org.apache.spark.scheduler.Task.run(Task.scala:54) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:722) Caused by: java.net.BindException: Address already in use at sun.nio.ch.Net.bind0(Native Method) at sun.nio.ch.Net.bind(Net.java:344) at sun.nio.ch.Net.bind(Net.java:336) at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:199) at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74) at org.jboss.netty.channel.socket.nio.NioServerBoss$RegisterTask.run(NioServerBoss.java:193) at org.jboss.netty.channel.socket.nio.AbstractNioSelector.processTaskQueue(AbstractNioSelector.java:366) at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:290) at org.jboss.netty.channel.socket.nio.NioServerBoss.run(NioServerBoss.java:42) ... 3 more 14/11/07 23:19:23 INFO receiver.ReceiverSupervisorImpl: Stopped receiver 0 14/11/07 23:19:23 INFO receiver.BlockGenerator: Stopping BlockGenerator 14/11/07 23:19:23 INFO util.RecurringTimer: Stopped timer for BlockGenerator after time 1415382563200 14/11/07 23:19:23 INFO receiver.BlockGenerator: Waiting for block pushing thread 14/11/07 23:19:23 INFO receiver.BlockGenerator: Pushing out the last 0 blocks 14/11/07 23:19:23 INFO receiver.BlockGenerator: Stopped block pushing thread 14/11/07 23:19:23 INFO receiver.BlockGenerator: Stopped BlockGenerator 14/11/07 23:19:23 INFO receiver.ReceiverSupervisorImpl: Waiting for executor stop is over 14/11/07 23:19:23 ERROR receiver.ReceiverSupervisorImpl: Stopped executor with error: org.jboss.netty.channel.ChannelException: Failed to bind to: /172.29.17.178:65001 14/11/07 23:19:23 ERROR executor.Executor: Exception in task 0.0 in stage 0.0 (TID 0) org.jboss.netty.channel.ChannelException: Failed to bind to: /172.29.17.178:65001 at org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:106) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:119) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:74) at org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:68) at org.apache.spark.streaming.flume.FlumeReceiver.initServer(FlumeInputDStream.scala:164) at org.apache.spark.streaming.flume.FlumeReceiver.onStart(FlumeInputDStream.scala:171) at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121) at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:257) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) at org.apache.spark.scheduler.Task.run(Task.scala:54) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:722) Caused by: java.net.BindException: Address already in use at sun.nio.ch.Net.bind0(Native Method) at sun.nio.ch.Net.bind(Net.java:344) at sun.nio.ch.Net.bind(Net.java:336) at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:199) at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74) at org.jboss.netty.channel.socket.nio.NioServerBoss$RegisterTask.run(NioServerBoss.java:193) at org.jboss.netty.channel.socket.nio.AbstractNioSelector.processTaskQueue(AbstractNioSelector.java:366) at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:290) at org.jboss.netty.channel.socket.nio.NioServerBoss.run(NioServerBoss.java:42) ... 3 more 14/11/07 23:19:23 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.jboss.netty.channel.ChannelException: Failed to bind to: /172.29.17.178:65001 org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:106) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:119) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:74) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:68) org.apache.spark.streaming.flume.FlumeReceiver.initServer(FlumeInputDStream.scala:164) org.apache.spark.streaming.flume.FlumeReceiver.onStart(FlumeInputDStream.scala:171) org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121) org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106) org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264) org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:257) org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) org.apache.spark.scheduler.Task.run(Task.scala:54) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:722) 14/11/07 23:19:23 ERROR scheduler.TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job 14/11/07 23:19:23 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 14/11/07 23:19:23 INFO scheduler.TaskSchedulerImpl: Cancelling stage 0 14/11/07 23:19:23 INFO scheduler.DAGScheduler: Failed to run runJob at ReceiverTracker.scala:275 Exception in thread "Thread-28" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.jboss.netty.channel.ChannelException: Failed to bind to: /172.29.17.178:65001 org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:106) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:119) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:74) org.apache.avro.ipc.NettyServer.<init>(NettyServer.java:68) org.apache.spark.streaming.flume.FlumeReceiver.initServer(FlumeInputDStream.scala:164) org.apache.spark.streaming.flume.FlumeReceiver.onStart(FlumeInputDStream.scala:171) org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121) org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106) org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264) org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:257) org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) org.apache.spark.scheduler.Task.run(Task.scala:54) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:722) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) 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) Regards, Jeniba Johnson ________________________________ The contents of this e-mail and any attachment(s) may contain confidential or privileged information for the intended recipient(s). Unintended recipients are prohibited from taking action on the basis of information in this e-mail and using or disseminating the information, and must notify the sender and delete it from their system. L&T Infotech will not accept responsibility or liability for the accuracy or completeness of, or the presence of any virus or disabling code in this e-mail"