What is the new value you set? The new exception you saw seems not related to Kafka network issues, you may want to, for example, check
https://netbeans.org/bugzilla/show_bug.cgi?id=140000 On Tue, May 27, 2014 at 12:34 PM, Maung Than <maung_t...@apple.com> wrote: > We are now getting additional IO exception as well: > > May 27, 2014 12:32:29 PM sun.rmi.transport.tcp.TCPTransport$AcceptLoop > executeAcceptLoop > WARNING: RMI TCP Accept-0: accept loop for ServerSocket[addr= > 0.0.0.0/0.0.0.0,port=0,localport=50110] throws > java.io.IOException: The server sockets created using the > LocalRMIServerSocketFactory only accept connections from clients running on > the host where the RMI remote objects have been exported. > at > sun.management.jmxremote.LocalRMIServerSocketFactory$1.accept(LocalRMIServerSocketFactory.java:96) > at > sun.rmi.transport.tcp.TCPTransport$AcceptLoop.executeAcceptLoop(TCPTransport.java:369) > at > sun.rmi.transport.tcp.TCPTransport$AcceptLoop.run(TCPTransport.java:341) > at java.lang.Thread.run(Thread.java:662) > 2014-05-27 12:28:50:309, 2014-05-27 12:33:25:806, 1, 420, 1000, 4005.43, > 14.5389, 10000000, 36298.0359 > > Maung > > On May 27, 2014, at 11:43 AM, Maung Than <maung_t...@apple.com> wrote: > > > You meant to say the below parameter; if so we do not override it; so it > is the default 10 sec. Should It be larger? It is happening only with Gzip; > Snappy or no compression works fine. > > > > request.timeout.ms 10000 The amount of time the broker will wait > trying to meet the request.required.acks requirement before sending back an > error to the client. > > > > Thanks, > > Mauing > > > > On May 27, 2014, at 9:29 AM, Neha Narkhede <neha.narkh...@gmail.com> > wrote: > > > >> I think Guozhang meant to say request.timeout.ms, not session timeout. > You > >> can try increasing the request timeout through the request-timeout-ms > >> command line option. > >> > >> Thanks, > >> Neha > >> > >> > >> On Tue, May 27, 2014 at 8:55 AM, Guozhang Wang <wangg...@gmail.com> > wrote: > >> > >>> Maung, > >>> > >>> This issue may be due to the session timeout value set too small. With > >>> batch size 1000 and message size 420 you are sending 420K of data in > each > >>> request. What is your time out value? > >>> > >>> Guozhang > >>> > >>> > >>> On Mon, May 26, 2014 at 11:46 PM, Maung Than <maung_t...@apple.com> > wrote: > >>> > >>>> Hi All, > >>>> > >>>> This is what we are running on the Broker: > >>>> > >>>> > /Users/worun/kafkabuild/kafka-0.8.1-src/bin/kafka-producer-perf-test.sh > >>>> --broker-list vp21q12ic-hpaj020921:9092 --messages 10000000 --topic > >>>> imessage --threads 10 --message-size 420 --batch-size 1000 > >>>> --compression-codec 1 > >>>> > >>>> We are getting the below exception for the test, it occurs only with > gzip > >>>> in an async mode. In the broker log, I saw Connection reset by peer at > >>>> sun.nio.ch.FileDispatcher. exception. Any thoughts? > >>>> > >>>> [2014-05-26 22:49:33,361] WARN Failed to send producer request with > >>>> correlation id 58510 to broker 3 with data for partitions [imessage,1] > >>>> (kafka.producer.async.DefaultEventHandler) > >>>> java.net.SocketTimeoutException > >>>> at > >>>> > sun.nio.ch.SocketAdaptor$SocketInputStream.read(SocketAdaptor.java:201) > >>>> at > sun.nio.ch.ChannelInputStream.read(ChannelInputStream.java:86) > >>>> at > >>>> > >>> > java.nio.channels.Channels$ReadableByteChannelImpl.read(Channels.java:221) > >>>> at kafka.utils.Utils$.read(Utils.scala:375) > >>>> at > >>>> > >>> > kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54) > >>>> at > >>>> kafka.network.Receive$class.readCompletely(Transmission.scala:56) > >>>> at > >>>> > >>> > kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29) > >>>> at > >>> kafka.network.BlockingChannel.receive(BlockingChannel.scala:100) > >>>> at > >>> kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:74) > >>>> at > >>>> > >>> > kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:71) > >>>> at > >>>> > >>> > kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:102) > >>>> at > >>>> > >>> > kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:102) > >>>> at > >>>> > >>> > kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:102) > >>>> at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) > >>>> at > >>>> > >>> > kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:101) > >>>> at > >>>> > kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:101) > >>>> at > >>>> > kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:101) > >>>> at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) > >>>> at kafka.producer.SyncProducer.send(SyncProducer.scala:100) > >>>> at > >>>> > >>> > kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$send(DefaultEventHandler.scala:255) > >>>> at > >>>> > >>> > kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$1.apply(DefaultEventHandler.scala:106) > >>>> at > >>>> > >>> > kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$1.apply(DefaultEventHandler.scala:100) > >>>> at > >>>> > >>> > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:80) > >>>> at > >>>> > >>> > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:80) > >>>> at scala.collection.Iterator$class.foreach(Iterator.scala:631) > >>>> at > >>>> > scala.collection.mutable.HashTable$$anon$1.foreach(HashTable.scala:161) > >>>> at > >>>> > >>> > scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:194) > >>>> at > >>> scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) > >>>> at scala.collection.mutable.HashMap.foreach(HashMap.scala:80) > >>>> at > >>>> > >>> > kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:100) > >>>> at > >>>> > >>> > kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72) > >>>> at > >>>> > >>> > kafka.producer.async.ProducerSendThread.tryToHandle(ProducerSendThread.scala:104) > >>>> at > >>>> > >>> > kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:87) > >>>> at > >>>> > >>> > kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:67) > >>>> at scala.collection.immutable.Stream.foreach(Stream.scala:254) > >>>> at > >>>> > >>> > kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:66) > >>>> at > >>>> > kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:44) > >>>> 2014-05-26 22:49:02:067, 2014-05-26 22:49:48:306, 1, 420, 1000, > 400.54, > >>>> 8.6625, 1000000, 21626.7653 > >>>> > >>>> Connection reset by peer at sun.nio.ch.FileDispatcher.read0(Native > >>> Method) > >>>> at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:21) at > >>>> sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:198) at > >>>> sun.nio.ch.IOUtil.read(IOUtil.java:171) at > >>>> sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:243) at > >>>> kafka.utils.Utils$.read(Utils.scala:375) at > >>>> > >>> > kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54) > >>>> at kafka.network.Processor.read(SocketServer.scala:347) at > >>>> kafka.network.Processor.run(SocketServer.scala:245) at > >>>> java.lang.Thread.run(Thread.java:662) > >>>> > >>>> Thanks, > >>>> Maung > >>>> > >>> > >>> > >>> > >>> -- > >>> -- Guozhang > >>> > > > > -- -- Guozhang
