I post my code here:
ProducerThread.java
package com.tz.kafka;
import java.io.Serializable;
import java.util.Properties;
import kafka.producer.ProducerConfig;
import kafka.javaapi.producer.*;
import java.util.*;
import java.util.concurrent.CopyOnWriteArrayList;
public class ProducerThread implements Runnable ,Serializable
{
/**
*
*/
private static final long serialVersionUID = 18977854555656L;
//private final kafka.javaapi.producer.Producer<Integer, String> producer;
private String topic;
private Properties props = new Properties();
private String messageStr;
public ProducerThread(String kafkatopic,String message)
{
synchronized(this){
props.put("zk.connect", "192.168.75.45:2181,192.168.75.55:2181,
192.168.75.65:2181");
//props.put("broker.list", "4:192.168.75.104:9092");
//props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("producer.type", "sync");
props.put("compression.codec", "1");
props.put("batch.size", "5");
props.put("queue.enqueueTimeout.ms", "-1");
props.put("queue.size", "2000");
props.put("buffer.size", "10240000");
//props.put("event.handler", "kafka.producer.async.EventHandler<T>");
props.put("zk.sessiontimeout.ms", "6000000");
props.put("zk.connectiontimeout.ms", "6000000");
props.put("socket.timeout.ms", "60000000");
props.put("connect.timeout.ms", "60000000");
props.put("max.message.size", "20000");
props.put("reconnect.interval", String.valueOf(Integer.MAX_VALUE));
props.put("reconnect.interval.ms", "3000");
// Use random partitioner. Don't need the key type. Just set it to
Integer.
// The message is of type String.
//producer = new kafka.javaapi.producer.Producer<Integer, String>(new
ProducerConfig(props));
//producer = new kafka.javaapi.producer.Producer<String, String>(new
ProducerConfig(props));
this.topic = kafkatopic;
this.messageStr = message;
}
}
public void run() {
synchronized(this) {
Producer<String, String> producer = new Producer<String, String>(new
ProducerConfig(props));
//producer.
long messageNo = 0;
long t = System.currentTimeMillis();
long r = System.currentTimeMillis();
long time = r-t;
long rate = 0;
List<String> messageSet = new CopyOnWriteArrayList<String>();
while(true)
{
if(topic.length() > 0 )
{
messageSet.add(this.messageStr.toString());
ProducerData<String, String> data = new ProducerData<String,
String>(topic,null,messageSet);
producer.send(data);
messageSet.clear();
data = null;
messageNo++;
}
if(messageNo % 200000 ==0)
{
r = System.currentTimeMillis();
time = r-t;
rate = 200000000/time;
System.out.println(this.topic + " send message per second:"+rate);
t = r;
}
}
}
}
}
ProducerThreadTest1.java
package com.tz.kafka;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.LinkedBlockingQueue;
public class ProducerThreadTest1 {
/**
* @param args
* @throws InterruptedException
*/
public static void main(String[] args) throws InterruptedException {
// TODO Auto-generated method stub
int i = Integer.parseInt(args[0]);
ThreadPoolExecutor threadPool = new ThreadPoolExecutor(i, i, 5,
TimeUnit.SECONDS, new LinkedBlockingQueue<Runnable>(i),
new ThreadPoolExecutor.DiscardOldestPolicy());
int messageSize = Integer.parseInt(args[1]);
StringBuffer messageStr = new StringBuffer();
for(int messagesize=0;messagesize<messageSize;messagesize++)
{
messageStr.append("X");
}
String topic = args[2];
for(int j=0;j < i; j++)
{
topic += "x";
threadPool.execute(new ProducerThread(topic,messageStr.toString()));
Thread.sleep(1000);
}
}
}
the shell scripte kafkaThreadTest.sh like this:
java -Xmx10G -jar kafkaThreadTest.jar 2 1024 a
I deploy the shell at ten servers!
Thanks!
Best Regards!
Jian Fan
2012/7/13 Jun Rao <jun...@gmail.com>
> That seems like a Kafka bug. Do you have a script that can reproduce this?
>
> Thanks,
>
> Jun
>
> On Thu, Jul 12, 2012 at 5:44 PM, jjian fan <xiaofanhad...@gmail.com>
> wrote:
>
> > HI:
> > I use kafka0.7.1, here is the stack trace in kafka server:
> >
> > ERROR Error processing MultiProducerRequest on bxx:2
> > (kafka.server.KafkaRequestHandlers)
> > kafka.message.InvalidMessageException: message is invalid, compression
> > codec: NoCompressionCodec size: 1030 curr offset: 1034 init offset: 0
> > at
> >
> >
> kafka.message.ByteBufferMessageSet$$anon$1.makeNextOuter(ByteBufferMessageSet.scala:130)
> > at
> >
> >
> kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:166)
> > at
> >
> >
> kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:100)
> > at
> kafka.utils.IteratorTemplate.maybeComputeNext(IteratorTemplate.scala:59)
> > at kafka.utils.IteratorTemplate.hasNext(IteratorTemplate.scala:51)
> > at scala.collection.Iterator$class.foreach(Iterator.scala:631)
> > at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:30)
> > at scala.collection.IterableLike$class.foreach(IterableLike.scala:79)
> > at kafka.message.MessageSet.foreach(MessageSet.scala:87)
> > at kafka.log.Log.append(Log.scala:205)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers.kafka$server$KafkaRequestHandlers$$handleProducerRequest(KafkaRequestHandlers.scala:69)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handleMultiProducerRequest$1.apply(KafkaRequestHandlers.scala:62)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handleMultiProducerRequest$1.apply(KafkaRequestHandlers.scala:62)
> > at
> >
> >
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
> > at
> >
> >
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
> > at
> >
> >
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:34)
> > at scala.collection.mutable.ArrayOps.foreach(ArrayOps.scala:34)
> > at scala.collection.TraversableLike$class.map(TraversableLike.scala:206)
> > at scala.collection.mutable.ArrayOps.map(ArrayOps.scala:34)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers.handleMultiProducerRequest(KafkaRequestHandlers.scala:62)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handlerFor$4.apply(KafkaRequestHandlers.scala:41)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handlerFor$4.apply(KafkaRequestHandlers.scala:41)
> > at kafka.network.Processor.handle(SocketServer.scala:296)
> > at kafka.network.Processor.read(SocketServer.scala:319)
> > at kafka.network.Processor.run(SocketServer.scala:214)
> > at java.lang.Thread.run(Thread.java:722)
> > [2012-07-13 08:40:06,182] ERROR Closing socket for /192.168.75.13because
> > of error (kafka.network.Processor)
> > kafka.message.InvalidMessageException: message is invalid, compression
> > codec: NoCompressionCodec size: 1030 curr offset: 1034 init offset: 0
> > at
> >
> >
> kafka.message.ByteBufferMessageSet$$anon$1.makeNextOuter(ByteBufferMessageSet.scala:130)
> > at
> >
> >
> kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:166)
> > at
> >
> >
> kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:100)
> > at
> kafka.utils.IteratorTemplate.maybeComputeNext(IteratorTemplate.scala:59)
> > at kafka.utils.IteratorTemplate.hasNext(IteratorTemplate.scala:51)
> > at scala.collection.Iterator$class.foreach(Iterator.scala:631)
> > at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:30)
> > at scala.collection.IterableLike$class.foreach(IterableLike.scala:79)
> > at kafka.message.MessageSet.foreach(MessageSet.scala:87)
> > at kafka.log.Log.append(Log.scala:205)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers.kafka$server$KafkaRequestHandlers$$handleProducerRequest(KafkaRequestHandlers.scala:69)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handleMultiProducerRequest$1.apply(KafkaRequestHandlers.scala:62)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handleMultiProducerRequest$1.apply(KafkaRequestHandlers.scala:62)
> > at
> >
> >
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
> > at
> >
> >
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
> > at
> >
> >
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:34)
> > at scala.collection.mutable.ArrayOps.foreach(ArrayOps.scala:34)
> > at scala.collection.TraversableLike$class.map(TraversableLike.scala:206)
> > at scala.collection.mutable.ArrayOps.map(ArrayOps.scala:34)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers.handleMultiProducerRequest(KafkaRequestHandlers.scala:62)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handlerFor$4.apply(KafkaRequestHandlers.scala:41)
> > at
> >
> >
> kafka.server.KafkaRequestHandlers$$anonfun$handlerFor$4.apply(KafkaRequestHandlers.scala:41)
> > at kafka.network.Processor.handle(SocketServer.scala:296)
> > at kafka.network.Processor.read(SocketServer.scala:319)
> > at kafka.network.Processor.run(SocketServer.scala:214)
> > at java.lang.Thread.run(Thread.java:722)
> >
> > here is the track stace in kafka producer:
> > ERROR Connection attempt to 192.168.75.104:9092 failed, next attempt in
> > 60000 ms (kafka.producer.SyncProducer)
> > java.net.ConnectException: Connection refused
> > at sun.nio.ch.Net.connect(Native Method)
> > at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:525)
> > at kafka.producer.SyncProducer.connect(SyncProducer.scala:173)
> > at
> kafka.producer.SyncProducer.getOrMakeConnection(SyncProducer.scala:196)
> > at kafka.producer.SyncProducer.send(SyncProducer.scala:92)
> > at kafka.producer.SyncProducer.multiSend(SyncProducer.scala:135)
> > at
> >
> kafka.producer.async.DefaultEventHandler.send(DefaultEventHandler.scala:58)
> > at
> >
> >
> kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:44)
> > at
> >
> >
> kafka.producer.async.ProducerSendThread.tryToHandle(ProducerSendThread.scala:116)
> > at
> >
> >
> kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:95)
> > at
> >
> >
> kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:71)
> > at scala.collection.immutable.Stream.foreach(Stream.scala:254)
> > at
> >
> >
> kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:70)
> > at
> kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:41)
> >
> > The kafka producer is multi-thread program.
> >
> > Thanks!
> >
> > Best Regards!
> >
> >
> > 2012/7/13 Neha Narkhede <neha.narkh...@gmail.com>
> >
> > > In addition to Jun's question,
> > >
> > > which version are you using ? Do you have a reproducible test case ?
> > >
> > > Thanks,
> > > Neha
> > >
> > > On Thu, Jul 12, 2012 at 7:19 AM, Jun Rao <jun...@gmail.com> wrote:
> > > > What's the stack trace?
> > > >
> > > > Thanks,
> > > >
> > > > Jun
> > > >
> > > > On Thu, Jul 12, 2012 at 12:55 AM, jjian fan <xiaofanhad...@gmail.com
> >
> > > wrote:
> > > >
> > > >> HI:
> > > >>
> > > >> Guys, I test kafka in our test high cocunnrent enivorment, I always
> > get
> > > the
> > > >> error message as follows:
> > > >>
> > > >> ERROR Error processing MultiProducerRequest on axxxxxxxx:2
> > > >> (kafka.server.KafkaRequestHandlers)
> > > >> kafka.message.InvalidMessageException: message is invalid,
> compression
> > > >> codec: NoCompressionCodec size: 1034 curr offset: 3114 init offset:
> 0
> > > >>
> > > >> Can anyone help? Thanks!
> > > >>
> > > >> Best Regards
> > > >>
> > > >> Jian Fan
> > > >>
> > >
> >
>
