报错：Error starting Jetty. JSON Metrics may not be available.java.net.BindException:地址已在使用

报错背景：

 刚在CDH中集成Flume插件，启动报错

报错现象：

Error starting Jetty. JSON Metrics may not be available.
java.net.BindException: 地址已在使用
    at sun.nio.ch.Net.bind0(Native Method)
    at sun.nio.ch.Net.bind(Net.java:433)
    at sun.nio.ch.Net.bind(Net.java:425)
    at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
    at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
    at org.mortbay.jetty.nio.SelectChannelConnector.open(SelectChannelConnector.java:216)
    at org.mortbay.jetty.nio.SelectChannelConnector.doStart(SelectChannelConnector.java:315)
    at org.mortbay.component.AbstractLifeCycle.start(AbstractLifeCycle.java:50)
    at org.mortbay.jetty.Server.doStart(Server.java:235)
    at org.mortbay.component.AbstractLifeCycle.start(AbstractLifeCycle.java:50)
    at org.apache.flume.instrumentation.http.HTTPMetricsServer.start(HTTPMetricsServer.java:69)
    at org.apache.flume.node.Application.loadMonitoring(Application.java:242)
    at org.apache.flume.node.Application.startAllComponents(Application.java:214)
    at org.apache.flume.node.Application.handleConfigurationEvent(Application.java:97)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at com.google.common.eventbus.EventHandler.handleEvent(EventHandler.java:68)
    at com.google.common.eventbus.SynchronizedEventHandler.handleEvent(SynchronizedEventHandler.java:45)
    at com.google.common.eventbus.EventBus.dispatch(EventBus.java:313)
    at com.google.common.eventbus.EventBus.dispatchQueuedEvents(EventBus.java:296)
    at com.google.common.eventbus.EventBus.post(EventBus.java:264)
    at org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run(PollingPropertiesFileConfigurationProvider.java:145)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

报错原因：

 我也没看懂具体原因，但是在解决的时候稀里糊涂就把报错解决了。

报错解决：

进入flume的配置目录：/etc/flume-ng/conf/

编辑文件：flume.conf

按照自己的需求填写相关语句

完成之后报错消失（CDH中的相同配置文件可能信息不同步，注意检查）

agent.sources = kafkaSource
agent.channels = memoryChannel
agent.sinks = hdfsSink

#-------- kafkaSource相关配置-----------------
agent.sources.kafkaSource.channels = memoryChannel
# 定义消息源类型
agent.sources.kafkaSource.type=org.apache.flume.source.kafka.KafkaSource
# 这里特别注意: 是kafka的zookeeper的地址
agent.sources.kafkaSource.zookeeperConnect=192.168.52.26:2181
# 配置消费的kafka topic
agent.sources.kafkaSource.topic=AlarmHis
agent.sources.kafkaSource.kafka.consumer.timeout.ms=100

#------- memoryChannel相关配置-------------------------
# channel类型
agent.channels.memoryChannel.type=memory
# channel存储的事件容量
agent.channels.memoryChannel.capacity=10000
# 事务容量
agent.channels.memoryChannel.transactionCapacity=1000

#---------hdfsSink 相关配置------------------
agent.sinks.hdfsSink.type=hdfs
agent.sinks.hdfsSink.channel = memoryChannel
# 写到HDFS的路径
agent.sinks.hdfsSink.hdfs.path=hdfs://master:8020/yk/dl/alarm_his
#配置前缀和后缀
agent.sinks.hdfsSink.hdfs.filePrefix = AlarmHis
agent.sinks.hdfsSink.hdfs.fileSuffix=.txt

## 表示只要过了60*60*24秒钟，就切换生成一个新的文件
agent.sinks.hdfsSink.hdfs.rollInterval = 86400
## 如果记录的文件大于1024*1024*1024字节时切换一次
agent.sinks.hdfsSink.hdfs.rollSize = 0
## 当写了5个事件时触发
agent.sinks.hdfsSink.hdfs.rollCount = 0
## 收到了多少条消息往dfs中追加内容
agent.sinks.hdfsSink.hdfs.batchSize = 5
## 使用本地时间戳
agent.sinks.hdfsSink.hdfs.useLocalTimeStamp = true

agent.sinks.hdfsSink.hdfs.writeFormat=Text
#生成的文件类型，默认是Sequencefile，可用DataStream：为普通文本
agent.sinks.hdfsSink.hdfs.fileType=DataStream