注： 环境： skylin-linux
Flume的下载方式：
wget http://www.apache.org/dyn/closer.lua/flume/1.6.0/apache-flume-1.6.0-bin.tar.
下载完成之后，使用tar进行解压
tar -zvxf apache-flume-1.6..0-bin.tar.
进入flume的conf配置包中，使用命令touch flume.conf，然后cp flume-conf.properties.template flume.conf
使vim/gedit flume.conf 编辑配置文件,需要说明的的是,Flume conf文件用的是Java版的property文件的key-value键值对模式.
在Flume配置文件中,我们需要
1. 需要命名当前使用的Agent的名称.
2. 命名Agent下的source的名字.
3. 命名Agent下的channal的名字.
4. 命名Agent下的sink的名字.
5. 将source和sink通过channal绑定起来.
一般来说,在Flume中会存在着多个Agent,所以我们需要给它们分别取一个名字来区分它们,注意名字不要相同,名字保持唯一!
例如:
#Agent取名为 agent_name #source 取名为 source_name ,一次类推 agent_name.source = source_name agent_name.channels = channel_name agent_name.sinks = sink_name
上图对应的是单个Agent,单个sink,单个channel情况,如下图
如果我们需要在一个Agent上配置n个sink,m个channel(n>1, m>1),
那么只需要这样配置即可:
#Agent取名为 agent_name #source 取名为 source_name ,一次类推 agent_name.source = source_name ,source_name1 agent_name.channels = channel_name,channel_name1 agent_name.sinks = sink_name,sink_name1
上面的配置就表示一个Agent中有两个 source,sink,channel的情况,如图所示
以上是对多sink,channel,source情况,对于 多个Agent,只需要给每个Agent取一个独一无二的名字即可!
Flume支持各种各样的sources,sinks,channels,它们支持的类型如下:
| Sources | Channels | Sinks |
|---|---|---|
|
|
|
以上的类型,你可以根据自己的需求来搭配组合使用,当然如果你愿意,你可以为所欲为的搭配.比如我们使用Avro source类型,采用Memory channel,使用HDFS sink存储,那我们的配置可以接着上的配置这样写
#Agent取名为 agent_name #source 取名为 source_name ,一次类推 agent_name.source = Avro agent_name.channels = MemoryChannel agent_name.sinks = HDFS
当你命名好Agent的组成部分后,你还需要对Agent的组成sources , sinks, channles去一一描述. 下面我们来逐一的细说；
Source的配置
注： 需要特别说明，在Agent中对于存在的N(N>1)个source，其中的每一个source都需要单独进行配置，首先我们需要对source的type进行设置，然后在对每一个type进行对应的属性设置.其通用的模式如下：
agent_name.sources. source_name.type = value agent_name.sources. source_name.property2 = value agent_name.sources. source_name.property3 = value
具体的例子，比如我们Source选用的是Avro模式
#Agent取名为 agent_name #source 取名为 source_name ,一次类推 agent_name.source = Avro agent_name.channels = MemoryChannel agent_name.sinks = HDFS #——————————sourcec配置——————————————# agent_name.source.Avro.type = avro agent_name.source.Avro.bind = localhost agent_name.source.Avro.port = 9696 #将source绑定到MemoryChannel管道上 agent_name.source.Avro.channels = MemoryChannel
Channels的配置
Flume在source和sink配间提供各种管道（channels）来传递数据.因而和source一样，它也需要配置属性，同source一样，对于N（N>0）个channels,
需要单个对它们注意设置属性，它们的通用模板为：
agent_name.channels.channel_name.type = value agent_name.channels.channel_name. property2 = value agent_name.channels.channel_name. property3 = value
具体的例子，假如我们选用memory channel类型，那么我先要配置管道的类型
agent_name.channels.MemoryChannel.type = memory
但是我们现在只是设置好了管道自个儿属性，我们还需要将其和sink，source链接起来，也就是绑定，绑定设置如下，我们可以分别写在source，sink处，也可以集中写在channel处
agent_name.sources.Avro.channels = MemoryChannel
agent_name.sinks.HDFS.channels = MemoryCHannel
Sink的配置
sink的配置和Source配置类似，它的通用格式：
agent_name.sinks. sink_name.type = value agent_name.sinks. sink_name.property2 = value agent_name.sinks. sink_name.property3 = value
具体例子，比如我们设置Sink类型为HDFS ,那么我们的配置单就如下：
agent_name.sinks.HDFS.type = hdfs
agent_name.sinks.HDFS.path = HDFS‘s path
以上就是对Flume的配置文件详细介绍，下面在补全一张完整的配置图：
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # The configuration file needs to define the sources, # the channels and the sinks. # Sources, channels and sinks are defined per agent, # in this case called 'agent' #define agent agent.sources = seqGenSrc agent.channels = memoryChannel agent.sinks = loggerSink kafkaSink # # For each one of the sources, the type is defined #默认模式 agent.sources.seqGenSrc.type = seq / netcat / avro agent.sources.seqGenSrc.type = avro agent.sources.seqGenSrc.bind = localhost agent.sources.seqGenSrc.port = 9696 #####数据来源#### #agent.sources.seqGenSrc.coommand = tail -F /home/gongxijun/Qunar/data/data.log # The channel can be defined as follows. agent.sources.seqGenSrc.channels = memoryChannel #+++++++++++++++定义sink+++++++++++++++++++++# # Each sink's type must be defined agent.sinks.loggerSink.type = logger agent.sinks.loggerSink.type = hbase agent.sinks.loggerSink.channel = memoryChannel #表名 agent.sinks.loggerSink.table = flume #列名 agent.sinks.loggerSink.columnFamily= gxjun agent.sinks.loggerSink.serializer = org.apache.flume.sink.hbase.MyHbaseEventSerializer #agent.sinks.loggerSink.serializer = org.apache.flume.sink.hbase.RegexHbaseEventSerializer agent.sinks.loggerSink.zookeeperQuorum=localhost:2181 agent.sinks.loggerSink.znodeParent= /hbase #Specify the channel the sink should use agent.sinks.loggerSink.channel = memoryChannel # Each channel's type is defined. #memory agent.channels.memoryChannel.type = memory agent.channels.memortChhannel.keep-alive = 10 # Other config values specific to each type of channel(sink or source) # can be defined as well # In this case, it specifies the capacity of the memory channel #agent.channels.memoryChannel.checkpointDir = /home/gongxijun/Qunar/data #agent.channels.memoryChannel.dataDirs = /home/gongxijun/Qunar/data , /home/gongxijun/Qunar/tmpData agent.channels.memoryChannel.capacity = 10000000 agent.channels.memoryChannel.transactionCapacity = 10000 #define the sink2 kafka #+++++++++++++++定义sink+++++++++++++++++++++# # Each sink's type must be defined agent.sinks.kafkaSink.type = logger agent.sinks.kafkaSink.type = org.apache.flume.sink.kafka.KafkaSink agent.sinks.kafkaSink.channel = memoryChannel #agent.sinks.kafkaSink.server=localhost:9092 agent.sinks.kafkaSink.topic= kafka-topic agent.sinks.kafkaSink.batchSize = 20 agent.sinks.kafkaSink.brokerList = localhost:9092 #Specify the channel the sink should use agent.sinks.kafkaSink.channel = memoryChannel
该配置类型如下如所示：
参考资料：
http://www.tutorialspoint.com/apache_flume/apache_flume_configuration.htm
作者： 龚细军
引用请注明出处：http://www.cnblogs.com/gongxijun/p/5661037.html