本文采用单节点试用flume日志处理。

flume 单节点使用示例

flume号称水道，其设计思路是水源(source)和水槽(sink)都是可以人意组合的。这样在汇集水的过程是非常灵活的。每一个逻辑节点由事件生产(source)和事件消费(sink)组成。从源拉取数据，从sink推走。单节点缺省sink是console。单节点源采用dump的方式。命令行 flume dump source

常用source源：

  • console
  • 标准输入控制台
  • text(“filename”)
  • 单文本文件源，一行一事件
  • tail(“filename”)
  • 和 Unix 的tail -F 类似。一行一事件。一直打开等待数据，会跟踪文件切换。
  • multitail(“file1″[, "file2"[, …]])
  • 同 tail 源类似，但可以跟踪多文件。
  • asciisynth(msg_count,msg_size)
  • 一个源，用于产生msg_count 个msg_size大小的随机消息，转成可打印 ASCII字符。
  • syslogUdp(port)
  • UDP 端口上的 Syslog，和syslog兼容。
  • syslogTcp(port)
  • TCP 端口上的 Syslog，和syslog-ng兼容。

 


[zhouhh@Hadoop48 ~]$ flume dump console
你好
Hadoop48 [INFO Mon Jan 21 11:37:52 CST 2013] ??
haha
Hadoop48 [INFO Mon Jan 21 11:37:56 CST 2013] haha
hello
Hadoop48 [INFO Mon Jan 21 11:37:59 CST 2013] hello
this is a test
Hadoop48 [INFO Mon Jan 21 11:38:07 CST 2013] this is a test
[zhouhh@Hadoop48 ~]$ flume dump 'text("/etc/services")'
...
Hadoop48 [INFO Mon Jan 21 10:57:15 CST 2013] iqobject\t48619/udp\t\t\t# iqobject
Hadoop48 [INFO Mon Jan 21 10:57:15 CST 2013] # Local services
2013-01-21 10:57:15,498 [logicalNode dump-9] INFO debug.TextFileSource: File /etc/services closed
2013-01-21 10:57:15,498 [logicalNode dump-9] INFO debug.ConsoleEventSink: ConsoleEventSink( debug ) closed
[zhouhh@Hadoop48 ~]$ flume dump 'tail("testfile")'
[zhouhh@Hadoop48 ~]$ echo hello world >> testfile
[zhouhh@Hadoop48 ~]$ echo 你好 >> testfile

输出

[zhouhh@Hadoop48 ~]$ flume dump 'tail("testfile")'
...
Hadoop48 [INFO Mon Jan 21 10:55:39 CST 2013] { tailSrcFile : (long)8387236824819002469 (string) 'testfile' (double)4.914663849160389E252 } hello world
Hadoop48 [INFO Mon Jan 21 10:56:07 CST 2013] { tailSrcFile : (long)8387236824819002469 (string) 'testfile' (double)4.914663849160389E252 } \u4F60\u597D
[zhouhh@Hadoop48 ~]$ flume dump 'multitail("test1", "test2")'
[zhouhh@Hadoop48 ~]$ echo Hello world test1! >> test1
[zhouhh@Hadoop48 ~]$ echo Hello world test2! >> test2
输出
[zhouhh@Hadoop48 ~]$ flume dump 'multitail("test1", "test2")'
...
Hadoop48 [INFO Mon Jan 21 10:59:51 CST 2013] { tailSrcFile : test1 } Hello world test1!
Hadoop48 [INFO Mon Jan 21 11:00:00 CST 2013] { tailSrcFile : test2 } Hello world test2!

 

tail 缺省分隔符是\n,并且\n不包含在事件中。tail 支持自定义分隔符，还可指定分隔符是包含在前一事件(prev)，后一事件(next),还是不包含在事件中(exclude).

两个及以上\n换行
tail("file", delim="\n\n+", delimMode="exclude")
用</a>做分隔符，并且做为前一事件结尾。
tail("file", delim="</a>", delimMode="prev")
用"\n\d\d\d\d"正则表达式做分隔符，并且做为后一事件的开头。用于分析stack dump日志。如年开头四位数字。
tail("file", delim="\\n\\d\\d\\d\\d", delimMode="next")

获取2行3个随机字符日志

[zhouhh@Hadoop48 ~]$ flume dump 'asciisynth(2,3)'
Hadoop48 [INFO Mon Jan 21 11:12:36 CST 2013] :,J
Hadoop48 [INFO Mon Jan 21 11:12:36 CST 2013] o

用udp或tcp接受syslog格式日志

[zhouhh@Hadoop48 ~]$ flume dump 'syslogUdp(5140)'

发送消息到5140端口

[zhouhh@Hadoop48 ~]$ echo "hello " | nc -u hadoop48 5140
[zhouhh@Hadoop48 ~]$ flume dump 'syslogUdp(5140)'
2013-01-21 11:15:10,587 [logicalNode dump-9] WARN syslog.SyslogUdpSource: 1 rejected packets. packet: java.net.DatagramPacket@75037619
com.cloudera.flume.handlers.text.EventExtractException: Failed to extract syslog wire entry
 at com.cloudera.flume.handlers.syslog.SyslogWireExtractor.extract(SyslogWireExtractor.java:178)
 at com.cloudera.flume.handlers.syslog.SyslogWireExtractor.extractEvent(SyslogWireExtractor.java:89)
 at com.cloudera.flume.handlers.syslog.SyslogUdpSource.next(SyslogUdpSource.java:88)
 at com.cloudera.flume.core.connector.DirectDriver$PumperThread.run(DirectDriver.java:105)

这是因为发送的消息没有wireformat数据
[zhouhh@Hadoop48 ~]$ echo "<37>hello " | nc -u hadoop48 5140
[zhouhh@Hadoop48 ~]$ flume dump 'syslogUdp(5140)'
...
Hadoop48 [INFO Mon Jan 21 11:24:02 CST 2013] { syslogfacility : 4 } { syslogseverity : 5 } hello

<37>用于指定log分类和log级别

接受tcp数据

[zhouhh@Hadoop48 ~]$ flume dump 'syslogTcp(5140)'
[zhouhh@Hadoop48 ~]$ echo "<37>hello via syslog" | nc -t localhost 5140
显示结果
[zhouhh@Hadoop48 ~]$ flume dump 'syslogTcp(5140)'
...
Hadoop48 [INFO Mon Jan 21 11:33:01 CST 2013] { syslogfacility : 4 } { syslogseverity : 5 } hello via syslog

 

参考

http://archive.cloudera.com/cdh/3/flume/UserGuide/index.html