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flume安装，解压后修改flume_env.sh配置文件，指定java_home即可。
cp hdfs jar包到flume lib目录下（否则无法抽取数据到hdfs上）
flume常见命令选项：
[hadoop@db01 flume-1.5.0]$ bin/flume-ng
commands:
agent run a Flume agent
global options:
--conf,-c <conf> use configs in <conf> directory
-Dproperty=value sets a Java system property value
agent options:
--name,-n <name> the name of this agent (required)
--conf-file,-f <file> specify a config file (required if -z missing)
eg:
bin/flume-ng agent --conf /opt/cdh-5.3.6/flume-1.5.0/conf --name agent-test --conf-file test.conf
bin/flume-ng agent -c /opt/cdh-5.3.6/flume-1.5.0/conf -n agent-test -f test.conf
********************************************************************************************************
flume第一个案例：
定义配置文件/opt/cdh-5.3.6/flume-1.5.0/conf/a1.conf：
# The configuration file needs to define the sources,
# the channels and the sinks.
###################################
a1.sources = r1
a1.channels = c1
a1.sinks = k1
############define source#######################################
a1.sources.r1.type = netcat
a1.sources.r1.bind = db01
a1.sources.r1.port = 55555
#############define channel###################################
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
##########define sinks#########################
a1.sinks.k1.type = logger
a1.sinks.k1.maxBytesToLog = 1024
#######bind###############################
a1.sources.r1.channels=c1
a1.sinks.k1.channel = c1
安装telnet：
[root@db01 softwares]# rpm -ivh telnet-*
Preparing... ########################################### [100%]
1:telnet-server ########################################### [ 50%]
2:telnet ########################################### [100%]
[root@db01 softwares]#
[root@db01 softwares]#
[root@db01 softwares]# rpm -ivh xinetd-2.3.14-39.el6_4.x86_64.rpm
Preparing... ########################################### [100%]
package xinetd-2:2.3.14-39.el6_4.x86_64 is already installed
[root@db01 softwares]#
[root@db01 softwares]#
[root@db01 softwares]#
[root@db01 softwares]# /etc/rc.d/init.d/xinetd restart
Stopping xinetd: [ OK ]
Starting xinetd: [ OK ]
启动flume：
bin/flume-ng agent
--conf /opt/cdh-5.3.6/flume-1.5.0/conf
--name a1
--conf-file /opt/cdh-5.3.6/flume-1.5.0/conf/a1.conf
-Dflume.root.logger=DEBUG,console
登录telnet 测试：
[root@db01 ~]# telnet db01 55555
Trying 192.168.100.231...
Connected to db01.
Escape character is '^]'.
hello flume
OK
chavin king
OK
------------ 日志输出如下 -------------
2017-03-23 16:48:31,285 (netcat-handler-0) [DEBUG - org.apache.flume.source.NetcatSource$NetcatSocketHandler.run(NetcatSource.java:318)] Chars read = 13
2017-03-23 16:48:31,290 (netcat-handler-0) [DEBUG - org.apache.flume.source.NetcatSource$NetcatSocketHandler.run(NetcatSource.java:322)] Events processed = 1
2017-03-23 16:48:33,234 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:70)] Event: { headers:{} body: 68 65 6C 6C 6F 20 66 6C 75 6D 65 0D hello flume. }
2017-03-23 16:48:39,224 (conf-file-poller-0) [DEBUG - org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run(PollingPropertiesFileConfigurationProvider.java:126)] Checking file:/opt/cdh-5.3.6/flume-1.5.0/conf/a1.conf for changes
2017-03-23 16:48:47,031 (netcat-handler-0) [DEBUG - org.apache.flume.source.NetcatSource$NetcatSocketHandler.run(NetcatSource.java:318)] Chars read = 13
2017-03-23 16:48:47,032 (netcat-handler-0) [DEBUG - org.apache.flume.source.NetcatSource$NetcatSocketHandler.run(NetcatSource.java:322)] Events processed = 1
2017-03-23 16:48:48,235 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:70)] Event: { headers:{} body: 63 68 61 76 69 6E 20 6B 69 6E 67 0D chavin king. }
2017-03-23 16:49:09,225 (conf-file-poller-0) [DEBUG - org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run(PollingPropertiesFileConfigurationProvider.java:126)] Checking file:/opt/cdh-5.3.6/flume-1.5.0/conf/a1.conf for changes
***************************************************************************
flume第二个案例：收集hive log
/user/hadoop/flume/hive-logs/
[hadoop@db01 hadoop-2.5.0]$ bin/hdfs dfs -mkdir -p /user/hadoop/flume/hive-logs/
a2.conf文件：
# The configuration file needs to define the sources,
# the channels and the sinks.
###################################
a2.sources = r2
a2.channels = c2
a2.sinks = k2
############define source#######################################
a2.sources.r2.type = exec
a2.sources.r2.command = tail -f /opt/cdh-5.3.6/hive-0.13.1/data/logs/hive.log
a2.sources.r2.shell = /bin/bash -c
#############define channel###################################
a2.channels.c2.type = memory
a2.channels.c2.capacity = 1000
a2.channels.c2.transactionCapacity = 100
##########define sinks#########################
a2.sinks.k2.type = hdfs
#a2.sinks.k2.hdfs.path = hdfs://db02:8020/user/hadoop/flume/hive-logs/
#hadoop ha 配置方法，cp hadoop的配置文件到flume的conf目录下：
#cp /opt/cdh-5.3.6/hadoop-2.5.0/etc/hadoop/core-site.xml /opt/cdh-5.3.6/hadoop-2.5.0/etc/hadoop/hdfs-site.xml /opt/cdh-5.3.6/flume-1.5.0/conf/
a2.sinks.k2.hdfs.path = hdfs://ns1/user/hadoop/flume/hive-logs/
a2.sinks.k2.hdfs.fileType = DataStream
a2.sinks.k2.hdfs.writeFormat = Text
a2.sinks.k2.hdfs.batchSize = 10
#######bind###############################
a2.sources.r2.channels=c2
a2.sinks.k2.channel = c2
测试：
bin/flume-ng agent
--conf /opt/cdh-5.3.6/flume-1.5.0/conf
--name a2
--conf-file /opt/cdh-5.3.6/flume-1.5.0/conf/a2.conf
-Dflume.root.logger=DEBUG,console
******************************************************************************
flume第三个案例：
编辑a3.conf文件：
# The configuration file needs to define the sources,
# the channels and the sinks.
######define agent#############################
a3.sources = r3
a3.channels = c3
a3.sinks = k3
############define source#######################################
a3.sources.r3.type = spooldir
a3.sources.r3.spoolDir = /opt/cdh-5.3.6/flume-1.5.0/spoolinglogs
a3.sources.r3.ignorePattern = ^(.)*\.log$
a3.sources.r3.fileSuffix = .delete
#############define channel###################################
a3.channels.c3.type = file
a3.channels.c3.checkpointDir = /opt/cdh-5.3.6/flume-1.5.0/filechannel/checkpoint
a3.channels.c3.dataDirs = /opt/cdh-5.3.6/flume-1.5.0/filechannel/data
##########define sinks#########################
a3.sinks.k3.type = hdfs
#a3.sinks.k3.hdfs.path = hdfs://db02:8020/user/hadoop/flume/hive-logs/
a3.sinks.k3.hdfs.path = hdfs://ns1/user/hadoop/flume/splogs/%Y%m%d
a3.sinks.k3.hdfs.fileType = DataStream
a3.sinks.k3.hdfs.writeFormat = Text
a3.sinks.k3.hdfs.batchSize = 10
a3.sinks.k3.hdfs.useLocalTimeStamp = true
#######bind###############################
a3.sources.r3.channels=c3
a3.sinks.k3.channel = c3
测试：
bin/flume-ng agent
--conf /opt/cdh-5.3.6/flume-1.5.0/conf
--name a3
--conf-file /opt/cdh-5.3.6/flume-1.5.0/conf/a3.conf
-Dflume.root.logger=DEBUG,console