多数据源汇总案例
1） 案例需求：
hadoop103上的flume-1监控文件hive.log，
hadoop104上的flume-2监控某一个端口的数据流，
flume-1与flume-2将数据发送给hadoop102上的flume-3，flume-3将最终数据打印到控制台
2）需求分析：
3）实现步骤：
0．准备工作
分发flume
[jason@hadoop102 module]$ xsync flume
在hadoop102、hadoop103以及hadoop104的/opt/module/flume/job目录下创建一个group2文件夹
[jason@hadoop102 job]$ mkdir group2 [jason@hadoop103 job]$ mkdir group2 [jason@hadoop104 job]$ mkdir group2
1．创建flume1.conf
配置source用于监控hive.log文件，配置sink输出数据到下一级flume。
在hadoop103上创建配置文件并打开
[jason@hadoop103 group2]$ touch flume1.conf [jason@hadoop103 group2]$ vim flume1.conf
添加如下内容
# Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = exec a1.sources.r1.command = tail -F /opt/module/group.log a1.sources.r1.shell = /bin/bash -c # Describe the sink a1.sinks.k1.type = avro a1.sinks.k1.hostname = hadoop102 a1.sinks.k1.port = 4141 # Describe the channel 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
2．创建flume2.conf
配置source监控端口44444数据流，配置sink数据到下一级flume：
在hadoop104上创建配置文件并打开
[jason@hadoop104 group2]$ touch flume2.conf [jason@hadoop104 group2]$ vim flume2.conf
添加如下内容
# Name the components on this agent a2.sources = r1 a2.sinks = k1 a2.channels = c1 # Describe/configure the source a2.sources.r1.type = netcat a2.sources.r1.bind = hadoop104 a2.sources.r1.port = 44444 # Describe the sink a2.sinks.k1.type = avro a2.sinks.k1.hostname = hadoop102 a2.sinks.k1.port = 4141
# Use a channel which buffers events in memory a2.channels.c1.type = memory a2.channels.c1.capacity = 1000 a2.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a2.sources.r1.channels = c1 a2.sinks.k1.channel = c1
3．创建flume3.conf
配置source用于接收flume1与flume2发送过来的数据流，最终合并后sink到控制台。
在hadoop102上创建配置文件并打开
[jason@hadoop102 group2]$ touch flume3.conf [jason@hadoop102 group2]$ vim flume3.conf
添加如下内容
# Name the components on this agent a3.sources = r1
a3.sinks = k1
a3.channels = c1 # Describe/configure the source a3.sources.r1.type = avro
a3.sources.r1.bind = hadoop102
a3.sources.r1.port = 4141 # Describe the sink a3.sinks.k1.type = logger # Describe the channel a3.channels.c1.type = memory
a3.channels.c1.capacity = 1000
a3.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a3.sources.r1.channels = c1
a3.sinks.k1.channel = c1
4．执行配置文件
分别开启对应配置文件：flume3.conf，flume2.conf，flume1.conf。
[jason@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group2/flume3.conf -Dflume.root.logger=INFO,console
[jason@hadoop104 flume]$ bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group2/flume2.conf
[jason@hadoop103 flume]$ bin/flume-ng agent --conf conf/ --name a1 --conf-file job/group2/flume1.conf
5．在hadoop103上向/opt/module目录下的group.log追加内容
[jason@hadoop103 module]$ echo 'hello' > group.log
6．在hadoop104上向44444端口发送数据
[jason@hadoop104 flume]$ telnet hadoop104 44444
7.检查hadoop102上数据
