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Flume:来自下游的意外异常。 java.io.IOException:对等重置连接

[英]Flume : Unexpected exception from downstream. java.io.IOException: Connection reset by peer

尝试将多个日志发送到单个端口时,出现异常。 是否有人知道我的配置是否有问题,还是需要将其作为错误提出? 我尝试配置多个端口以及仍然遇到相同的异常。 自从一个星期以来我一直坚持下去,任何帮助都将非常有用。

[WARN -   org.apache.avro.ipc.NettyServer$NettyServerAvroHandler.exceptionCaught(NettyServer.java:201)    ] Unexpected exception from downstream.
java.io.IOException: Connection reset by peer
at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:225)
at sun.nio.ch.IOUtil.read(IOUtil.java:193)
at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:359)
at org.jboss.netty.channel.socket.nio.NioWorker.read(NioWorker.java:66)
at org.jboss.netty.channel.socket.nio.AbstractNioWorker.processSelectedKeys(AbstractNioWorker.java:364)
at org.jboss.netty.channel.socket.nio.AbstractNioWorker.run(AbstractNioWorker.java:238)
at org.jboss.netty.channel.socket.nio.NioWorker.run(NioWorker.java:38)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:722)

收集器配置

hdfs-agent.sources = avro-collect<br>
hdfs-agent.sinks = hdfs-write<br>
hdfs-agent.channels = fileChannel<br>


hdfs-agent.sources.avro-collect.type = avro<br>
hdfs-agent.sources.avro-collect.bind = <<System IP>><br>
hdfs-agent.sources.avro-collect.port = 41414<br>
hdfs-agent.sources.avro-collect.channels = fileChannel<br>

hdfs-agent.sinks.hdfs-write.type = hdfs<br>
hdfs-agent.sinks.hdfs-write.hdfs.path = hdfs://hadoop:54310/flume/%{host}/%Y%m%d/%{logFileType}<br>
hdfs-agent.sinks.hdfs-write.hdfs.rollSize = 209715200<br>
hdfs-agent.sinks.hdfs-write.hdfs.rollCount = 6000<br>
hdfs-agent.sinks.hdfs-write.hdfs.fileType = DataStream<br>
hdfs-agent.sinks.hdfs-write.hdfs.writeFormat = Text<br>
hdfs-agent.sinks.hdfs-write.hdfs.filePrefix = %{host}<br>
hdfs-agent.sinks.hdfs-write.hdfs.maxOpenFiles = 100000<br>
hdfs-agent.sinks.hdfs-write.hdfs.batchSize = 5000<br>
hdfs-agent.sinks.hdfs-write.hdfs.rollInterval = 75<br>
hdfs-agent.sinks.hdfs-write.hdfs.callTimeout = 5000000<br>
hdfs-agent.sinks.hdfs-write.channel = fileChannel<br>


hdfs-agent.channels.fileChannel.type=file<br>
hdfs-agent.channels.fileChannel.dataDirs=/u01/Collector/flume_channel/dataDir13<br>
hdfs-agent.channels.fileChannel.checkpointDir=/u01/Collector/flume_channel/checkpointDir13<br>
hdfs-agent.channels.fileChannel.transactionCapacity = 50000<br>
hdfs-agent.channels.fileChannel.capacity = 9000000<br>
hdfs-agent.channels.fileChannel.write-timeout = 250000<br>

发件人配置

app-agent.sources = tail tailapache<br>
app-agent.channels = fileChannel<br>
app-agent.sinks = avro-forward-sink avro-forward-sink-apache<br>

app-agent.sources.tail.type = exec<br>
app-agent.sources.tail.command = tail -f /server/default/log/server.log<br>
app-agent.sources.tail.channels = fileChannel<br>

app-agent.sources.tailapache.type = exec<br>
app-agent.sources.tailapache.command = tail -f /logs/access_log<br>
app-agent.sources.tailapache.channels = fileChannel<br>

app-agent.sources.tail.interceptors = ts st stt<br>
app-agent.sources.tail.interceptors.ts.type =     org.apache.flume.interceptor.TimestampInterceptor$Builder<br>
app-agent.sources.tail.interceptors.st.type = static<br>
app-agent.sources.tail.interceptors.st.key = logFileType<br>
app-agent.sources.tail.interceptors.st.value = jboss<br>
app-agent.sources.tail.interceptors.stt.type = static<br>
app-agent.sources.tail.interceptors.stt.key = host<br>
app-agent.sources.tail.interceptors.stt.value = Mart<br>

app-agent.sources.tailapache.interceptors = ts1 i1 st1<br>
app-agent.sources.tailapache.interceptors.ts1.type =     org.apache.flume.interceptor.TimestampInterceptor$Builder<br>
app-agent.sources.tailapache.interceptors.i1.type = static<br>
app-agent.sources.tailapache.interceptors.i1.key = logFileType<br>
app-agent.sources.tailapache.interceptors.i1.value = apache<br>
app-agent.sources.tailapache.interceptors.st1.type = static<br>
app-agent.sources.tailapache.interceptors.st1.key = host<br>
app-agent.sources.tailapache.interceptors.st1.value = Mart<br>

app-agent.sinks.avro-forward-sink.type = avro<br>
app-agent.sinks.avro-forward-sink.hostname = <<Host IP>><br>
app-agent.sinks.avro-forward-sink.port = 41414<br>
app-agent.sinks.avro-forward-sink.channel = fileChannel<br>

app-agent.sinks.avro-forward-sink-apache.type = avro<br>
app-agent.sinks.avro-forward-sink-apache.hostname = <<Host IP>><br>
app-agent.sinks.avro-forward-sink-apache.port = 41414<br>
app-agent.sinks.avro-forward-sink-apache.channel = fileChannel<br>

app-agent.channels.fileChannel.type=file<br>
app-agent.channels.fileChannel.dataDirs=/usr/local/lib/flume-ng/flume_channel/dataDir13<br>
app-agent.channels.fileChannel.checkpointDir=/usr/local/lib/flume-ng/flume_channel/checkpointDir13<br>
app-agent.channels.fileChannel.transactionCapacity = 50000<br>
app-agent.channels.fileChannel.capacity = 9000000
app-agent.channels.fileChannel.write-timeout = 250000
app-agent.channles.fileChannel.keep-alive=600

从这里开始: 什么时候抛出“ java.io.IOException:对等重置连接”?

BalusC的回答:

对方却突然中止在事务的中间连接。 这可能有许多原因,这些原因从服务器端是无法控制的。 例如,最终用户决定关闭客户端或突然更改服务器,同时仍与服务器进行交互,或者客户端程序崩溃,或者最终用户的Internet连接断开,或者最终用户的机器崩溃,等等。

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