flume安装与使用

1.flume 简介 Flume 是 Cloudera 提供的日志收集系统， Flume 支持在日志系统中定制各类数据发送方，用于收集数据；同时， Flume 提供对数据进行简单处理，并写到各种数据接受方（可定制）的能力。 Flume 是一个分布式、可靠、和高可用的海量日志采集、聚合和传输的系统。 2.安装和使用说明: 2.1 安装 a. 下载:  http://archive.cloudera.com/cdh/3/ flume-0.9.0+1.tar.gz 接着解压.暂时用$flume代表解压路径. b. 用户文档： http://archive.cloudera.com/cdh/3/flume/UserGuide.html c. 下载:  http://archive.cloudera.com/cdh/3/ zookeeper-3.3.1.tar.gz d. 安装zookeeper yum install hadoop-zookeeper –y yum install hadoop-zookeeper-server –y 修改 /zookeeper-3.3.1/conf/ zoo_sample.cfg重命名为 zoo.cfg 执行如下命令： export  ZOOKEEPER_HOME=/home/hadoop/zookeeper-3.3.1 export  FLUME_HOME=/home/hadoop/flume-0.9.0+1 export  PATH=.:$FLUME_HOME/bin:$ZOOKEEPER_HOME/bin:$PATH 2.2 使用 执行 >flume 输出如下： usage: flume command [args...] commands include:   dump            Takes a specified source and dumps to console   node            Start a Flume node/agent (with watchdog)   master          Start a Flume Master server (with watchdog)   version         Dump flume build version information   node_nowatch    Start a flume node/agent (no watchdog)   master_nowatch  Start a Flume Master server (no watchdog)       class    Run specified fully qualified class using Flume environment (no watchdog)                    ex: flume com.cloudera.flume.agent.FlumeNode   classpath       Dump the classpath used by the java executables   shell           Start the flume shell 启动 flume 的 master 节点执行 :bin/flume master 通过 flume 打开文件 输入命令 $ flume dump 'tail("/home/hadoop/log/bb.txt")' 输出： 通过 flume 导入文件到 hdfs 可打开 http://10.1.27.30:35871/flumemaster.jsp 即可看到整理节点的情况 从上面 URL 打开的选项卡 config, 输入节点配置，然后点提交查询内容 如下： Source为数据源，可有多种输入源 ,sink 为接收器 , 当启动 master 节点时，会把文件写入到 hdsf 里 启动配置好的节点： bin/flume node –n master 通过 flume 读取 syslog-ng 分别启动节点 host 和 collector 节点 3.附录: Flume Event Sources console Stdin console text("filename") One shot text file source. One line is one event tail("filename") Similar to Unix’s tail -F. One line is one event. Stays open for more data and follows filename if file rotated. multitail("file1"[, "file2"[, …]]) Similar to tail source but follows multiple files. asciisynth(msg_count,msg_size) A source that synthetically generates msg_count random messages of size msg_size. This converts all characters into printable ASCII characters. syslogUdp(port) Syslog over UDP port, port. This is syslog compatible. syslogTcp(port) Syslog over TCP port, port. This is syslog-ng compatible. Flume Event Sinks null Null sink. Events are dropped. console[("format")] Console sink. Display to console’s stdout. The "format" argument is optional and defaults to the "debug" output format. text("txtfile"[,"format"]) Textfile sink. Write the events to text file txtfile using output format "format". The default format is "raw" event bodies with no metadata. dfs("dfsfile") DFS seqfile sink. Write serialized Flume events to a dfs path such as hdfs://namenode/file or file:///file in Hadoop’s seqfile format. Note that because of the hdfs write semantics, no data for this sink write until the sink is closed. syslogTcp("host",port) Syslog TCP sink. Forward to events to host on TCP port port in syslog wire format (syslog-ng compatible), or to other Flume nodes setup to listen for syslogTcp. 默认端口如下： TCP ports are used in all situations. node collector port flume.collector.port 35853+ node status web server flume.node.http.port 35862+ master status web server flume.master.http.port 35871 master heartbeat port flume.master.heartbeat.port 35872 master admin/shell port flume.master.admin.port 35873 master gossip port flume.master.gossip.port 35890 master → zk port flume.master.zk.client.port 3181 zk → zk quorum port flume.master.zk.server.quorum.port 3182 zk → zk election port flume.master.zk.server.election.port 3183