日志采集框架Flume以及Flume的安装部署（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）

 Flume支持众多的source和sink类型，详细手册可参考官方文档，更多source和sink组件

http://flume.apache.org/FlumeUserGuide.html

Flume官网入门指南：

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 1：Flume的概述和介绍：

（1）：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）：Flume可以采集文件，socket数据包等各种形式源数据，又可以将采集到的数据输出到HDFS、hbase、hive、kafka等众多外部存储系统中
（3）：一般的采集需求，通过对flume的简单配置即可实现
（4）：Flume针对特殊场景也具备良好的自定义扩展能力，因此，flume可以适用于大部分的日常数据采集场景

2：Flume的运行机制：

（1）：Flume分布式系统中最核心的角色是agent，flume采集系统就是由一个个agent所连接起来形成。

（2）：每一个agent相当于一个数据传递员，内部有三个组件：
　　　　a)：Source：采集源，用于跟数据源对接，以获取数据。主要作用是接受客户端发送的数据，并将数据发送到channel中，source和channel之间的关系是多对多的关系，不过一般情况下使用一个source对应多个channel。通过名称区分不同的source。flume常用的source有：Avro Source，Thrift Source,Exec Source,Kafka Source,Netcat Source。
　　　　b)：Sink：下沉地，采集数据的传送目的，用于往下一级agent传递数据或者往最终存储系统传递数据。主要作用就是定义数据写出方式，一般情况下sink从channel中获取数据，然后将数据写出到file，hdfs或者网络上。channel和sink之间的关系是一对多的关系，通过不同的名称来区分sink。Flume常用的sink有：hdfs sink,hive sink,file sink.hbase sink,avro sink,thrift sink,logger sink等等。
　　　　c)：Channel：angent内部的数据传输通道，用于从source将数据传递到sink。主要作用是提供一个数据传输通道，提供数据传输和数据存储等功能。source将数据放到channel中，sink从channel中拿数据。通过不同的命令来区分channel。Flume常用的channel有：memory channel,jdbc channel,kafka channel,file channel等等。

注意：Source 到 Channel 到 Sink之间传递数据的形式是Event事件；Event事件是一个数据流单元。

 下面介绍单个Agent的fulme数据采集示意图：

 多级agent之间串联示意图：

 3：Flume的安装部署：

（1）、Flume的安装非常简单，只需要解压即可，当然，前提是已有hadoop环境：
　　a）：上传安装包到数据源所在节点上，上传过程省略。
　　b）：然后解压  tar -zxvf apache-flume-1.6.0-bin.tar.gz；

　　　　[root@master package]# tar -zxvf apache-flume-1.6.0-bin.tar.gz -C /home/hadoop/
　　c）：然后进入flume的目录，修改conf下的flume-env.sh，在里面配置JAVA_HOME；（由于conf目录下面是 flume-env.sh.template，所以我复制一个flume-env.sh，然后进行修改JAVA_HOME）

　　　　[root@master conf]# cp flume-env.sh.template flume-env.sh

　　　　[root@master conf]# vim flume-env.sh

　　　　然后将#注释去掉，加上自己的JAVA_HOME：export JAVA_HOME=/home/hadoop/jdk1.7.0_65
（2）、根据数据采集的需求配置采集方案，描述在配置文件中(文件名可任意自定义)；
（3）、指定采集方案配置文件，在相应的节点上启动flume agent；

（4）、可以先用一个最简单的例子来测试一下程序环境是否正常（在flume的conf目录下新建一个文件）；

4：部署安装好，可以开始配置采集方案（这里是一个简单的采集方案配置的使用，从网络端口接收数据，然后下沉到logger）， 然后需要配置一个文件，这个采集配置文件名称，netcat-logger.conf，采集配置文件netcat-logger.conf的内容如下所示：

# example.conf: A single-node Flume configuration

# Name the components on this agent
#定义这个agent中各组件的名字，给那三个组件sources，sinks，channels取个名字,是一个逻辑代号:
#a1是agent的代表。
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source 描述和配置source组件：r1
#类型, 从网络端口接收数据,在本机启动, 所以localhost, type=spoolDir采集目录源,目录里有就采
#type是类型，是采集源的具体实现，这里是接受网络端口的，netcat可以从一个网络端口接受数据的。netcat在linux里的程序就是nc，可以学习一下。
#bind绑定本机localhost。port端口号为44444。

a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# Describe the sink 描述和配置sink组件：k1
#type，下沉类型，使用logger，将数据打印到屏幕上面。
a1.sinks.k1.type = logger

# Use a channel which buffers events in memory 描述和配置channel组件，此处使用是内存缓存的方式
#type类型是内存memory。
#下沉的时候是一批一批的, 下沉的时候是一个个eventChannel参数解释：
#capacity：默认该通道中最大的可以存储的event数量，1000是代表1000条数据。
#trasactionCapacity：每次最大可以从source中拿到或者送到sink中的event数量。
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel 描述和配置source  channel   sink之间的连接关系
#将sources和sinks绑定到channel上面。
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

下面在flume的conf目录下面编辑这个文件netcat-logger.conf：

[root@master conf]# vim netcat-logger.conf

 启动agent去采集数据，然后可以进行启动了，启动命令如下所示：

bin/flume-ng agent -c conf -f conf/netcat-logger.conf -n a1  -Dflume.root.logger=INFO,console

　　-c conf   指定flume自身的配置文件所在目录

　　-f conf/netcat-logger.con  指定我们所描述的采集方案

　　-n a1  指定我们这个agent的名字

启动命令：
#告诉flum启动一个agent。
#--conf conf指定配置参数,。
#conf/netcat-logger.conf指定采集方案的那个文件(自命名)。
#--name a1:agent的名字,即agent的名字为a1。
#-Dflume.root.logger=INFO,console给log4j传递的参数。
$ bin/flume-ng agent --conf conf --conf-file conf/netcat-logger.conf --name a1 -Dflume.root.logger=INFO,console

 演示如下所示：

 启动的信息如下所示，可以启动到前台，也可以启动到后台：

[root@master apache-flume-1.6.0-bin]# bin/flume-ng agent --conf conf --conf-file conf/netcat-logger.conf --name a1 -Dflume.root.logger=INFO,console
Info: Sourcing environment configuration script /home/hadoop/apache-flume-1.6.0-bin/conf/flume-env.sh
Info: Including Hadoop libraries found via (/home/hadoop/hadoop-2.4.1/bin/hadoop) for HDFS access
Info: Excluding /home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/slf4j-api-1.7.5.jar from classpath
Info: Excluding /home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar from classpath
Info: Including Hive libraries found via () for Hive access
+ exec /home/hadoop/jdk1.7.0_65/bin/java -Xmx20m -Dflume.root.logger=INFO,console -cp '/home/hadoop/apache-flume-1.6.0-bin/conf:/home/hadoop/apache-flume-1.6.0-bin/lib/*:/home/hadoop/hadoop-2.4.1/etc/hadoop:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/activation-1.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/asm-3.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/avro-1.7.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-cli-1.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-codec-1.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-collections-3.2.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-compress-1.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-configuration-1.6.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-digester-1.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-el-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-httpclient-3.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-io-2.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-lang-2.6.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-logging-1.1.3.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-math3-3.1.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/commons-net-3.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/guava-11.0.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/hadoop-annotations-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/hadoop-auth-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/httpclient-4.2.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/httpcore-4.2.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jersey-core-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jersey-json-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jersey-server-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jets3t-0.9.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jettison-1.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jetty-6.1.26.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jetty-util-6.1.26.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jsch-0.1.42.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jsp-api-2.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/jsr305-1.3.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/junit-4.8.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/log4j-1.2.17.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/mockito-all-1.8.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/netty-3.6.2.Final.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/paranamer-2.3.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/servlet-api-2.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/stax-api-1.0-2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/xmlenc-0.52.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/xz-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib/zookeeper-3.4.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/hadoop-common-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/hadoop-common-2.4.1-tests.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/hadoop-nfs-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/common/jdiff:/home/hadoop/hadoop-2.4.1/share/hadoop/common/lib:/home/hadoop/hadoop-2.4.1/share/hadoop/common/sources:/home/hadoop/hadoop-2.4.1/share/hadoop/common/templates:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/asm-3.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-el-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-io-2.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/guava-11.0.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/hadoop-hdfs-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/hadoop-hdfs-2.4.1-tests.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/hadoop-hdfs-nfs-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/jdiff:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/lib:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/sources:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/templates:/home/hadoop/hadoop-2.4.1/share/hadoop/hdfs/webapps:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/activation-1.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/asm-3.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-cli-1.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-codec-1.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-collections-3.2.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-httpclient-3.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-io-2.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-lang-2.6.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/guava-11.0.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/guice-3.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jackson-jaxrs-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jackson-xc-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/javax.inject-1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jersey-client-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jersey-json-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jettison-1.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jetty-6.1.26.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jline-0.9.94.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/jsr305-1.3.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/log4j-1.2.17.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/servlet-api-2.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/xz-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib/zookeeper-3.4.5.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-api-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-client-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-common-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-server-common-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-server-tests-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/lib:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/sources:/home/hadoop/hadoop-2.4.1/share/hadoop/yarn/test:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/asm-3.2.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/guice-3.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/hadoop-annotations-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/javax.inject-1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/junit-4.10.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib/xz-1.0.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.4.1-tests.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4.1.jar:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/lib-examples:/home/hadoop/hadoop-2.4.1/share/hadoop/mapreduce/sources:/home/hadoop/hadoop-2.4.1/contrib/capacity-scheduler/*.jar:/lib/*' -Djava.library.path=:/home/hadoop/hadoop-2.4.1/lib/native org.apache.flume.node.Application --conf-file conf/netcat-logger.conf --name a1
2017-12-12 19:59:37,108 (lifecycleSupervisor-1-0) [INFO - org.apache.flume.node.PollingPropertiesFileConfigurationProvider.start(PollingPropertiesFileConfigurationProvider.java:61)] Configuration provider starting
2017-12-12 19:59:37,130 (conf-file-poller-0) [INFO - org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run(PollingPropertiesFileConfigurationProvider.java:133)] Reloading configuration file:conf/netcat-logger.conf
2017-12-12 19:59:37,142 (conf-file-poller-0) [INFO - org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty(FlumeConfiguration.java:931)] Added sinks: k1 Agent: a1
2017-12-12 19:59:37,143 (conf-file-poller-0) [INFO - org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty(FlumeConfiguration.java:1017)] Processing:k1
2017-12-12 19:59:37,143 (conf-file-poller-0) [INFO - org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty(FlumeConfiguration.java:1017)] Processing:k1
2017-12-12 19:59:37,157 (conf-file-poller-0) [INFO - org.apache.flume.conf.FlumeConfiguration.validateConfiguration(FlumeConfiguration.java:141)] Post-validation flume configuration contains configuration for agents: [a1]
2017-12-12 19:59:37,158 (conf-file-poller-0) [INFO - org.apache.flume.node.AbstractConfigurationProvider.loadChannels(AbstractConfigurationProvider.java:145)] Creating channels
2017-12-12 19:59:37,166 (conf-file-poller-0) [INFO - org.apache.flume.channel.DefaultChannelFactory.create(DefaultChannelFactory.java:42)] Creating instance of channel c1 type memory
2017-12-12 19:59:37,172 (conf-file-poller-0) [INFO - org.apache.flume.node.AbstractConfigurationProvider.loadChannels(AbstractConfigurationProvider.java:200)] Created channel c1
2017-12-12 19:59:37,174 (conf-file-poller-0) [INFO - org.apache.flume.source.DefaultSourceFactory.create(DefaultSourceFactory.java:41)] Creating instance of source r1, type netcat
2017-12-12 19:59:37,189 (conf-file-poller-0) [INFO - org.apache.flume.sink.DefaultSinkFactory.create(DefaultSinkFactory.java:42)] Creating instance of sink: k1, type: logger
2017-12-12 19:59:37,192 (conf-file-poller-0) [INFO - org.apache.flume.node.AbstractConfigurationProvider.getConfiguration(AbstractConfigurationProvider.java:114)] Channel c1 connected to [r1, k1]
2017-12-12 19:59:37,200 (conf-file-poller-0) [INFO - org.apache.flume.node.Application.startAllComponents(Application.java:138)] Starting new configuration:{ sourceRunners:{r1=EventDrivenSourceRunner: { source:org.apache.flume.source.NetcatSource{name:r1,state:IDLE} }} sinkRunners:{k1=SinkRunner: { policy:org.apache.flume.sink.DefaultSinkProcessor@1ce79b8 counterGroup:{ name:null counters:{} } }} channels:{c1=org.apache.flume.channel.MemoryChannel{name: c1}} }
2017-12-12 19:59:37,210 (conf-file-poller-0) [INFO - org.apache.flume.node.Application.startAllComponents(Application.java:145)] Starting Channel c1
2017-12-12 19:59:37,371 (lifecycleSupervisor-1-0) [INFO - org.apache.flume.instrumentation.MonitoredCounterGroup.register(MonitoredCounterGroup.java:120)] Monitored counter group for type: CHANNEL, name: c1: Successfully registered new MBean.
2017-12-12 19:59:37,372 (lifecycleSupervisor-1-0) [INFO - org.apache.flume.instrumentation.MonitoredCounterGroup.start(MonitoredCounterGroup.java:96)] Component type: CHANNEL, name: c1 started
2017-12-12 19:59:37,376 (conf-file-poller-0) [INFO - org.apache.flume.node.Application.startAllComponents(Application.java:173)] Starting Sink k1
2017-12-12 19:59:37,376 (conf-file-poller-0) [INFO - org.apache.flume.node.Application.startAllComponents(Application.java:184)] Starting Source r1
2017-12-12 19:59:37,377 (lifecycleSupervisor-1-3) [INFO - org.apache.flume.source.NetcatSource.start(NetcatSource.java:150)] Source starting
2017-12-12 19:59:37,513 (lifecycleSupervisor-1-3) [INFO - org.apache.flume.source.NetcatSource.start(NetcatSource.java:164)] Created serverSocket:sun.nio.ch.ServerSocketChannelImpl[/127.0.0.1:44444]

 然后可以向这个端口发送数据，就打印出来了，因为这里输出是在console的：

 相当于产生数据的源：[root@master hadoop]# telnet localhost 44444

[root@master hadoop]# telnet localhost 44444
bash: telnet: command not found

我的机器没有安装telnet ，所以先安装一下telnet ，如下所示：

第一步：检测telnet-server的rpm包是否安装 ？？？
　　[root@localhost ~]# rpm -qa telnet-server
　　若无输入内容，则表示没有安装。出于安全考虑telnet-server.rpm是默认没有安装的，而telnet的客户端是标配。即下面的软件是默认安装的。

第二步：若未安装，则安装telnet-server：

　　 [root@localhost ~]#yum install telnet-server

第三步：3、检测telnet的rpm包是否安装 ？？？
　　[root@localhost ~]# rpm -qa telnet
　　telnet-0.17-47.el6_3.1.x86_64

第四步：若未安装，则安装telnet：

　　[root@localhost ~]# yum install telnet

第五步：重新启动xinetd守护进程？？？

　　由于telnet服务也是由xinetd守护的，所以安装完telnet-server，要启动telnet服务就必须重新启动xinetd
　　[root@locahost ~]#service xinetd restart

完成以上步骤以后可以开始你的命令，如我的：

　　[root@master hadoop]# telnet localhost 44444
　　Trying ::1...
　　telnet: connect to address ::1: Connection refused
　　Trying 127.0.0.1...
　　Connected to localhost.
　　Escape character is '^]'.

解决完上面的错误以后就可以开始测试telnet数据源发送和flume的接受：

测试，先要往agent采集监听的端口上发送数据，让agent有数据可采集，随便在一个能跟agent节点联网的机器上：telnet localhost 44444

 

然后可以看到flume已经接受到了数据：

如何退出telnet呢？？？

　　首先按ctrl+]退出到telnet > ，然后输入telnet> quit即可退出，记住，quit后面不要加；

 5：flume监视文件夹案例：

监视文件夹


第一步：
首先 在flume的conf的目录下创建文件名称为：vim spool-logger.conf的文件。
将下面的内容复制到这个文件里面。

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
#监听目录,spoolDir指定目录, fileHeader要不要给文件夹前坠名
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir = /home/hadoop/flumespool
a1.sources.r1.fileHeader = true

# Describe the sink
a1.sinks.k1.type = logger

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

第二步：根据a1.sources.r1.spoolDir = /home/hadoop/flumespool配置的文件路径，创建相应的目录。必须先创建对应的目录，不然报错。java.lang.IllegalStateException: Directory does not exist: /home/hadoop/flumespool
[root@master conf]# mkdir  /home/hadoop/flumespool

第三步：启动命令：  
bin/flume-ng agent -c ./conf -f ./conf/spool-logger.conf -n a1 -Dflume.root.logger=INFO,console
[root@master apache-flume-1.6.0-bin]# bin/flume-ng agent --conf conf --conf-file conf/spool-logger.conf --name a1 -Dflume.root.logger=INFO,console
第四步:测试： 
往/home/hadoop/flumeSpool放文件（mv ././xxxFile /home/hadoop/flumeSpool），但是不要在里面生成文件。

6：采集目录到HDFS案例：

（1）采集需求：某服务器的某特定目录下，会不断产生新的文件，每当有新文件出现，就需要把文件采集到HDFS中去
（2）根据需求，首先定义以下3大要素
　　a）：采集源，即source——监控文件目录 :  spooldir
　　b）：下沉目标，即sink——HDFS文件系统  :  hdfs sink
　　c）：source和sink之间的传递通道——channel，可用file channel 也可以用内存channel
（3）：Channel参数解释：

　　capacity：默认该通道中最大的可以存储的event数量；

　　trasactionCapacity：每次最大可以从source中拿到或者送到sink中的event数量；

　　keep-alive：event添加到通道中或者移出的允许时间；

配置文件编写：

#定义三大组件的名称
agent1.sources = source1
agent1.sinks = sink1
agent1.channels = channel1

# 配置source组件
agent1.sources.source1.type = spooldir
agent1.sources.source1.spoolDir = /home/hadoop/logs/
agent1.sources.source1.fileHeader = false

#配置拦截器
agent1.sources.source1.interceptors = i1
agent1.sources.source1.interceptors.i1.type = host
agent1.sources.source1.interceptors.i1.hostHeader = hostname

# 配置sink组件
agent1.sinks.sink1.type = hdfs
agent1.sinks.sink1.hdfs.path =hdfs://master:9000/weblog/flume-collection/%y-%m-%d/%H-%M
agent1.sinks.sink1.hdfs.filePrefix = access_log
agent1.sinks.sink1.hdfs.maxOpenFiles = 5000
agent1.sinks.sink1.hdfs.batchSize= 100
agent1.sinks.sink1.hdfs.fileType = DataStream
agent1.sinks.sink1.hdfs.writeFormat =Text
agent1.sinks.sink1.hdfs.rollSize = 102400
agent1.sinks.sink1.hdfs.rollCount = 1000000
agent1.sinks.sink1.hdfs.rollInterval = 60
#agent1.sinks.sink1.hdfs.round = true
#agent1.sinks.sink1.hdfs.roundValue = 10
#agent1.sinks.sink1.hdfs.roundUnit = minute
agent1.sinks.sink1.hdfs.useLocalTimeStamp = true
# Use a channel which buffers events in memory
agent1.channels.channel1.type = memory
agent1.channels.channel1.keep-alive = 120
agent1.channels.channel1.capacity = 500000
agent1.channels.channel1.transactionCapacity = 600

# Bind the source and sink to the channel
agent1.sources.source1.channels = channel1
agent1.sinks.sink1.channel = channel1

 7：采集文件到HDFS案例：

（1）：采集需求：比如业务系统使用log4j生成的日志，日志内容不断增加，需要把追加到日志文件中的数据实时采集到hdfs

（2）：根据需求，首先定义以下3大要素

　　采集源，即source——监控文件内容更新 :  exec  ‘tail -F file’

　　下沉目标，即sink——HDFS文件系统  :  hdfs sink

　　Source和sink之间的传递通道——channel，可用file channel 也可以用 内存channel

配置文件编写：

agent1.sources = source1
agent1.sinks = sink1
agent1.channels = channel1

# Describe/configure tail -F source1
agent1.sources.source1.type = exec
agent1.sources.source1.command = tail -F /home/hadoop/logs/access_log
agent1.sources.source1.channels = channel1

#configure host for source
agent1.sources.source1.interceptors = i1
agent1.sources.source1.interceptors.i1.type = host
agent1.sources.source1.interceptors.i1.hostHeader = hostname

# Describe sink1
agent1.sinks.sink1.type = hdfs
#a1.sinks.k1.channel = c1
agent1.sinks.sink1.hdfs.path =hdfs://master:9000/weblog/flume-collection/%y-%m-%d/%H-%M
agent1.sinks.sink1.hdfs.filePrefix = access_log
agent1.sinks.sink1.hdfs.maxOpenFiles = 5000
agent1.sinks.sink1.hdfs.batchSize= 100
agent1.sinks.sink1.hdfs.fileType = DataStream
agent1.sinks.sink1.hdfs.writeFormat =Text
agent1.sinks.sink1.hdfs.rollSize = 102400
agent1.sinks.sink1.hdfs.rollCount = 1000000
agent1.sinks.sink1.hdfs.rollInterval = 60
agent1.sinks.sink1.hdfs.round = true
agent1.sinks.sink1.hdfs.roundValue = 10
agent1.sinks.sink1.hdfs.roundUnit = minute
agent1.sinks.sink1.hdfs.useLocalTimeStamp = true

# Use a channel which buffers events in memory
agent1.channels.channel1.type = memory
agent1.channels.channel1.keep-alive = 120
agent1.channels.channel1.capacity = 500000
agent1.channels.channel1.transactionCapacity = 600

# Bind the source and sink to the channel
agent1.sources.source1.channels = channel1
agent1.sinks.sink1.channel = channel1

 待续......