Kafka发送超过broker限定大小的消息时Client和Broker端各自会有什么异常？

前几天遇到一个bug，查看发送日志发现java.io.IOException: Broken pipe的错误，通过深入了解发现当kafka producer发送的消息体大于Broker配置的默认值时就会报这个异常。如果仅发送一次是不会报这个异常的，要连续发送才会报这个异常。

本博文记录一下当Kafka发送超过broker限定大小的消息时Client和Broker端各自会有什么异常。

Kafka Broker Configs中有一个参数：message.max.bytes——用来指定消息的大小。

当Producer向Broker发送一个比Kafka Broker配置的阈值还要大的一个消息时,Producer端和Broker端会有什么异常情况。
Producer端测试代码：

public class Producer {    public static final String brokerList = "10.198.197.59:9092";    public static final String topic = "versionTopic";    public static void main(String[] args) {        Properties properties = new Properties();        properties.put("serializer.class", "kafka.serializer.StringEncoder");        properties.put("metadata.broker.list", brokerList);        ProducerConfig config = new ProducerConfig(properties);        kafka.javaapi.producer.Producer producer = new kafka.javaapi.producer.Producer<Integer, String>(config);        String message = getMessage(1 * 1024 * 1024);        for(int i=0;i<3;i++) {            KeyedMessage<Integer, String> keyedMessage = new KeyedMessage<Integer, String>(topic, message);            producer.send(keyedMessage);            System.out.println("=============================");        }        try {            TimeUnit.SECONDS.sleep(50);        } catch (InterruptedException e) {            e.printStackTrace();        }    }    public static String getMessage(int msgSize) {        StringBuilder stringBuilder = new StringBuilder();        for(int i=0;i<msgSize;i++) {            stringBuilder.append("x");        }        return stringBuilder.toString();    }}

Producer端输出：

2017-02-28 16:19:31 -[INFO] - [Verifying properties] - [kafka.utils.Logging$class:68]2017-02-28 16:19:31 -[INFO] - [Property metadata.broker.list is overridden to 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:31 -[INFO] - [Property serializer.class is overridden to kafka.serializer.StringEncoder] - [kafka.utils.Logging$class:68]2017-02-28 16:19:31 -[INFO] - [Fetching metadata from broker id:0,host:10.198.197.59,port:9092 with correlation id 0 for 1 topic(s) Set(versionTopic)] - [kafka.utils.Logging$class:68]2017-02-28 16:19:31 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]2017-02-28 16:19:31 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:31 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]=============================2017-02-28 16:19:34 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:34 -[WARN] - [Failed to send producer request with correlation id 4 to broker 0 with data for partitions [versionTopic,0]] - [kafka.utils.Logging$class:89]java.io.IOException: 你的主机中的软件中止了一个已建立的连接。（ps:如果没有中文，这里会出现“java.io.IOException: Broken pipe”的报错。）    at sun.nio.ch.SocketDispatcher.writev0(Native Method)    at sun.nio.ch.SocketDispatcher.writev(SocketDispatcher.java:55)    at sun.nio.ch.IOUtil.write(IOUtil.java:148)    at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:504)    at java.nio.channels.SocketChannel.write(SocketChannel.java:502)    at kafka.network.BoundedByteBufferSend.writeTo(BoundedByteBufferSend.scala:56)    at kafka.network.Send$class.writeCompletely(Transmission.scala:75)    at kafka.network.BoundedByteBufferSend.writeCompletely(BoundedByteBufferSend.scala:26)    at kafka.network.BlockingChannel.send(BlockingChannel.scala:103)    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:103)at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)at kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:102)    at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)    at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)    at kafka.producer.SyncProducer.send(SyncProducer.scala:101)    at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$send(DefaultEventHandler.scala:255)    at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:106)at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:100)    at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)    at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)    at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)    at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)    at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)    at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)    at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:100)    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72)    at kafka.producer.Producer.send(Producer.scala:77)    at kafka.javaapi.producer.Producer.send(Producer.scala:33)    at com.kafka.Producer.main(Producer.java:30)2017-02-28 16:19:34 -[INFO] - [Back off for 100 ms before retrying send. Remaining retries = 3] - [kafka.utils.Logging$class:68]2017-02-28 16:19:34 -[INFO] - [Fetching metadata from broker id:0,host:10.198.197.59,port:9092 with correlation id 5 for 1 topic(s) Set(versionTopic)] - [kafka.utils.Logging$class:68]2017-02-28 16:19:34 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]2017-02-28 16:19:34 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:34 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:34 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]=============================2017-02-28 16:19:38 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:38 -[WARN] - [Failed to send producer request with correlation id 9 to broker 0 with data for partitions [versionTopic,0]] - [kafka.utils.Logging$class:89]java.io.IOException: 你的主机中的软件中止了一个已建立的连接。（ps:如果没有中文，这里会出现“java.io.IOException: Broken pipe”的报错。）    at sun.nio.ch.SocketDispatcher.writev0(Native Method)    at sun.nio.ch.SocketDispatcher.writev(SocketDispatcher.java:55)    at sun.nio.ch.IOUtil.write(IOUtil.java:148)    at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:504)    at java.nio.channels.SocketChannel.write(SocketChannel.java:502)    at kafka.network.BoundedByteBufferSend.writeTo(BoundedByteBufferSend.scala:56)    at kafka.network.Send$class.writeCompletely(Transmission.scala:75)    at kafka.network.BoundedByteBufferSend.writeCompletely(BoundedByteBufferSend.scala:26)    at kafka.network.BlockingChannel.send(BlockingChannel.scala:103)    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:103)at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)at kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:102)    at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)    at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)    at kafka.producer.SyncProducer.send(SyncProducer.scala:101)    at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$send(DefaultEventHandler.scala:255)    at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:106)at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:100)    at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)    at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)    at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)    at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)    at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)    at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)    at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:100)    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72)    at kafka.producer.Producer.send(Producer.scala:77)    at kafka.javaapi.producer.Producer.send(Producer.scala:33)    at com.kafka.Producer.main(Producer.java:30)2017-02-28 16:19:38 -[INFO] - [Back off for 100 ms before retrying send. Remaining retries = 3] - [kafka.utils.Logging$class:68]2017-02-28 16:19:38 -[INFO] - [Fetching metadata from broker id:0,host:10.198.197.59,port:9092 with correlation id 10 for 1 topic(s) Set(versionTopic)] - [kafka.utils.Logging$class:68]2017-02-28 16:19:38 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]2017-02-28 16:19:38 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:38 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-02-28 16:19:38 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]=============================

注意输出中的：java.io.IOException: 你的主机中的软件中止了一个已建立的连接。（ps:如果没有中文，这里会出现“java.io.IOException: Broken pipe”的报错。）

而Broker端会有报错：

[2017-02-28 16:04:03,384] INFO Closing socket connection to /10.101.48.240. (kafka.network.Processor)[2017-02-28 16:04:06,466] ERROR [KafkaApi-0] Error processing ProducerRequest with correlation id 2 from client  on partition [versionTopic,0] (kafka.server.KafkaApis)kafka.common.MessageSizeTooLargeException: Message size is 1048602 bytes which exceeds the maximum configured message size of 1000012.    at kafka.log.Log$$anonfun$analyzeAndValidateMessageSet$1.apply(Log.scala:378)at kafka.log.Log$$anonfun$analyzeAndValidateMessageSet$1.apply(Log.scala:361)    at scala.collection.Iterator$class.foreach(Iterator.scala:727)    at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:32)    at kafka.log.Log.analyzeAndValidateMessageSet(Log.scala:361)    at kafka.log.Log.append(Log.scala:257)    at kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:379)at kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:365)    at kafka.utils.Utils$.inLock(Utils.scala:535)    at kafka.utils.Utils$.inReadLock(Utils.scala:541)    at kafka.cluster.Partition.appendMessagesToLeader(Partition.scala:365)    at kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:291)at kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:282)    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)    at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)    at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)    at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)    at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)    at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)    at scala.collection.AbstractTraversable.map(Traversable.scala:105)    at kafka.server.KafkaApis.appendToLocalLog(KafkaApis.scala:282)    at kafka.server.KafkaApis.handleProducerOrOffsetCommitRequest(KafkaApis.scala:204)    at kafka.server.KafkaApis.handle(KafkaApis.scala:59)    at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:59)    at java.lang.Thread.run(Thread.java:745)[2017-02-28 16:04:06,467] INFO [KafkaApi-0] Send the close connection response due to error handling produce request [clientId = , correlationId = 2, topicAndPartition = [versionTopic,0]] with Ack=0 (kafka.server.KafkaApis)[2017-02-28 16:04:06,629] INFO Closing socket connection to /10.101.48.240. (kafka.network.Processor)[2017-02-28 16:04:09,921] ERROR [KafkaApi-0] Error processing ProducerRequest with correlation id 7 from client  on partition [versionTopic,0] (kafka.server.KafkaApis)kafka.common.MessageSizeTooLargeException: Message size is 1048602 bytes which exceeds the maximum configured message size of 1000012.    at kafka.log.Log$$anonfun$analyzeAndValidateMessageSet$1.apply(Log.scala:378)at kafka.log.Log$$anonfun$analyzeAndValidateMessageSet$1.apply(Log.scala:361)    at scala.collection.Iterator$class.foreach(Iterator.scala:727)    at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:32)    at kafka.log.Log.analyzeAndValidateMessageSet(Log.scala:361)    at kafka.log.Log.append(Log.scala:257)    at kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:379)at kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:365)    at kafka.utils.Utils$.inLock(Utils.scala:535)    at kafka.utils.Utils$.inReadLock(Utils.scala:541)    at kafka.cluster.Partition.appendMessagesToLeader(Partition.scala:365)    at kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:291)at kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:282)    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)    at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)    at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)    at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)    at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)    at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)    at scala.collection.AbstractTraversable.map(Traversable.scala:105)    at kafka.server.KafkaApis.appendToLocalLog(KafkaApis.scala:282)    at kafka.server.KafkaApis.handleProducerOrOffsetCommitRequest(KafkaApis.scala:204)    at kafka.server.KafkaApis.handle(KafkaApis.scala:59)    at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:59)    at java.lang.Thread.run(Thread.java:745)[2017-02-28 16:04:09,922] INFO [KafkaApi-0] Send the close connection response due to error handling produce request [clientId = , correlationId = 7, topicAndPartition = [versionTopic,0]] with Ack=0 (kafka.server.KafkaApis)[2017-02-28 16:04:10,096] INFO Closing socket connection to /10.101.48.240. (kafka.network.Processor)[2017-02-28 16:04:13,374] ERROR [KafkaApi-0] Error processing ProducerRequest with correlation id 12 from client  on partition [versionTopic,0] (kafka.server.KafkaApis)kafka.common.MessageSizeTooLargeException: Message size is 1048602 bytes which exceeds the maximum configured message size of 1000012.    at kafka.log.Log$$anonfun$analyzeAndValidateMessageSet$1.apply(Log.scala:378)at kafka.log.Log$$anonfun$analyzeAndValidateMessageSet$1.apply(Log.scala:361)    at scala.collection.Iterator$class.foreach(Iterator.scala:727)    at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:32)    at kafka.log.Log.analyzeAndValidateMessageSet(Log.scala:361)    at kafka.log.Log.append(Log.scala:257)    at kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:379)at kafka.cluster.Partition$$anonfun$appendMessagesToLeader$1.apply(Partition.scala:365)    at kafka.utils.Utils$.inLock(Utils.scala:535)    at kafka.utils.Utils$.inReadLock(Utils.scala:541)    at kafka.cluster.Partition.appendMessagesToLeader(Partition.scala:365)    at kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:291)at kafka.server.KafkaApis$$anonfun$appendToLocalLog$2.apply(KafkaApis.scala:282)    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)    at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)    at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)    at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)    at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)    at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)    at scala.collection.AbstractTraversable.map(Traversable.scala:105)    at kafka.server.KafkaApis.appendToLocalLog(KafkaApis.scala:282)    at kafka.server.KafkaApis.handleProducerOrOffsetCommitRequest(KafkaApis.scala:204)    at kafka.server.KafkaApis.handle(KafkaApis.scala:59)    at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:59)    at java.lang.Thread.run(Thread.java:745)[2017-02-28 16:04:13,375] INFO [KafkaApi-0] Send the close connection response due to error handling produce request [clientId = , correlationId = 12, topicAndPartition = [versionTopic,0]] with Ack=0 (kafka.server.KafkaApis)

注意输出中的：kafka.common.MessageSizeTooLargeException: Message size is 1048602 bytes which exceeds the maximum configured message size of 1000012.这句。

---

注意：当kafka一切正常，producer端发送也会出现这样的INFO:

2017-03-07 20:06:03 -[INFO] - [Verifying properties] - [kafka.utils.Logging$class:68]2017-03-07 20:06:04 -[INFO] - [Property metadata.broker.list is overridden to 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-03-07 20:06:04 -[INFO] - [Property serializer.class is overridden to kafka.serializer.StringEncoder] - [kafka.utils.Logging$class:68]2017-03-07 20:06:04 -[INFO] - [Fetching metadata from broker id:0,host:10.198.197.59,port:9092 with correlation id 0 for 1 topic(s) Set(testTopic)] - [kafka.utils.Logging$class:68]2017-03-07 20:06:04 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68]2017-03-07 20:06:04 -[INFO] - [Disconnecting from 10.198.197.59:9092] - [kafka.utils.Logging$class:68]2017-03-07 20:06:04 -[INFO] - [Connected to 10.198.197.59:9092 for producing] - [kafka.utils.Logging$class:68](之后producer发送数据)

看倒数三行，咋一看以为是出了异常，但事实上这是正常的INFO, 至于为什么先Connected又Disconnecting又Connected那就不得而知了，等博主翻阅了kafka的源码之后再来解释这个现象咯~