flume ng 1.3 安装配置方法
业务系统需要收集监控系统日志，想到了hadoop的flume。经过试验，虽说功能不算足够强大，但基本上能够满足功能需求。Flume 是一个分布式、可靠和高可用的服务日志收集工具，能够和hadoop,hive等配置完成日志收集，存储，分析处理等工作，更详细的介绍可以参见apache网站。下面介绍下简单的安装配置方法
1,网上下载flume-ng安装包，分别部署在收集和接收日志文件的服务器上，服务器上需安装jdk 1.6以上，
http://flume.apache.org/download.html
tar -zxvf apache-flume-1.3.0-bin.tar.gz
2, 日志文件接收端端新建conf/flume-conf.properties server端的具体配置如下
从avro source端接收数据，然后写入到HDFS文件系统中
agent.sources = tailsource-1 tailsource-2agent.channels = memoryChannel-1 memoryChannel-2agent.sinks = remotesink remotesink-2agent.sources.tailsource-1.type = execagent.sources.tailsource-1.command = tail -F /tmp/linux2.logagent.sources.tailsource-1.channels = memoryChannel-1agent.sources.tailsource-2.type = execagent.sources.tailsource-2.command = tail -F /tmp/linux2_2.logagent.sources.tailsource-2.channels = memoryChannel-2agent.sources.tailsource-1.interceptors = host_int timestamp_int inter1agent.sources.tailsource-1.interceptors.host_int.type = hostagent.sources.tailsource-1.interceptors.host_int.hostHeader = hostnameagent.sources.tailsource-1.interceptors.timestamp_int.type = org.apache.flume.interceptor.TimestampInterceptor$Builder#agent.sources.tailsource-1.interceptors = inter1agent.sources.tailsource-1.interceptors.inter1.type = staticagent.sources.tailsource-1.interceptors.inter1.key = datacenteragent.sources.tailsource-1.interceptors.inter1.value = BEIJINGagent.sources.tailsource-2.interceptors = host_int timestamp_int inter1agent.sources.tailsource-2.interceptors.host_int.type = hostagent.sources.tailsource-2.interceptors.host_int.hostHeader = hostnameagent.sources.tailsource-2.interceptors.timestamp_int.type = org.apache.flume.interceptor.TimestampInterceptor$Builder#agent.sources.tailsource-1.interceptors = inter1agent.sources.tailsource-2.interceptors.inter1.type = staticagent.sources.tailsource-2.interceptors.inter1.key = datacenteragent.sources.tailsource-2.interceptors.inter1.value = linux2_2agent.channels.memoryChannel-1.type = memoryagent.channels.memoryChannel-1.keep-alive = 10agent.channels.memoryChannel-1.capacity = 100000agent.channels.memoryChannel-1.transactionCapacity =100000agent.channels.memoryChannel-2.type = memoryagent.channels.memoryChannel-2.keep-alive = 10agent.channels.memoryChannel-2.capacity = 100000agent.channels.memoryChannel-2.transactionCapacity =100000agent.sinks.remotesink.type = avroagent.sinks.remotesink.hostname = 172.16.251.1agent.sinks.remotesink.port = 44444agent.sinks.remotesink.channel = memoryChannel-1agent.sinks.remotesink-2.type = avroagent.sinks.remotesink-2.hostname = 172.16.251.1agent.sinks.remotesink-2.port = 44444agent.sinks.remotesink-2.channel = memoryChannel-2
5,测试方法
可以使用如下类似的脚本，定期向日志文件写入来进行测试
for i in {1..1000000}; do echo "LINUX2 PRESS ************* Flume log rotation $i" >> /tmp/linux3.log; sleep 0.0001; done
