部署Flume在Window环境中，Kafka部署在Linux上，从Flume发送事件到Kafka始终有一下错误，
经过长时间在网上搜索终于把问题解决，
解决办法1：
修改kafka中配置项，
#advertised.host.name=<hostname routable by clients>
注释去掉，并配置上kafka所在linux的ip地址
advertised.host.name=192.168.10.10
重启kafka。
解决办法2（推荐）：
将kafka所在linux的（ip，别名）配置到Window环境中hosts文件:
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192.168.10.10 kafka.host |
Flume配置文件consumer.properties中
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producer.sinks.r.brokerList = kafka.host:9092 |
2016-04-16 16:43:34,069 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - kafka.utils.Logging$class.info(Logging.scala:68)] Connected to dx.zdp.ol:9092 for producing
2016-04-16 16:43:34,069 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - kafka.utils.Logging$class.info(Logging.scala:68)] Disconnecting from dx.zdp.ol:9092
2016-04-16 16:43:34,069 (SinkRunner-PollingRunner-DefaultSinkProcessor) [WARN - kafka.utils.Logging$class.warn(Logging.scala:89)] Failed to send producer request with correlation id 2 to broker 0 with
data for partitions [OtaAudit1,0]
java.nio.channels.ClosedChannelException
at kafka.network.BlockingChannel.send(BlockingChannel.scala:110)
at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:76)
at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:75)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:106)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:106)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:106)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:105)
at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:105)
at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:105)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.producer.SyncProducer.send(SyncProducer.scala:104)
at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$send(DefaultEventHandler.scala:259)
at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:110)
at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:102)
at scala.collection.TraversableLike$WithFilter$$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$WithFilter.foreach(TraversableLike.scala:771)
at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:102)
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:75)
at kafka.producer.Producer.send(Producer.scala:77)
at kafka.javaapi.producer.Producer.send(Producer.scala:42)
at org.apache.flume.sink.kafka.KafkaSink.process(KafkaSink.java:135)
at org.apache.flume.sink.DefaultSinkProcessor.process(DefaultSinkProcessor.java:68)
at org.apache.flume.SinkRunner$PollingRunner.run(SinkRunner.java:147)
at java.lang.Thread.run(Thread.java:745)
2016-04-16 16:43:34,079 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - kafka.utils.Logging$class.info(Logging.scala:68)] Back off for 1000 ms before retrying send. Remaining retries = 3
2016-04-16 16:43:34,522 (agent-shutdown-hook) [INFO - org.apache.flume.lifecycle.LifecycleSupervisor.stop(LifecycleSupervisor.java:79)] Stopping lifecycle supervisor 12
本文转自巧克力黒 51CTO博客，原文链接：http://blog.51cto.com/10120275/1764526，如需转载请自行联系原作者