文章目录
- 架构图
- 1.案例需求
- 2.需求分析
- 3. 具体实现
- 1．创建flume1-logger-flume.conf
- 2．创建flume2-netcat-flume.conf
- 3.创建flume3-flume-logger.conf
- 4．执行配置文件
架构图
1.案例需求
note02上的Flume-1监控文件/opt/module/group.log
note01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hadoop104上的Flume-3，Flume-3将最终数据打印到控制台。
2.需求分析
3. 具体实现
分发Flume
[root@note01 module]# xsync flume/所有节点创建group3
mkdir group31．创建flume1-logger-flume.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note02上创建配置文件并打开
# 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 = note03
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 = c12．创建flume2-netcat-flume.conf
配置Source监控端口44444数据流，配置Sink数据到下一级Flume：
在note01上创建配置文件并打开
[root@note01 group3]# vim vim flume2-netcat-flume.conf# 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 = note01
a2.sources.r1.port = 44444
# Describe the sink
a2.sinks.k1.type = avro
a2.sinks.k1.hostname = note03
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 = c13.创建flume3-flume-logger.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。
[root@note03 group3]# vim flume3-flume-logger.con# 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 = note03
a3.sources.r1.port = 4141
# Describe the sink
# 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 = c14．执行配置文件
分别开启对应配置文件：flume3-flume-logger.conf，flume2-netcat-flume.conf，flume1-logger-flume.conf。
[root@note03 flume]# flume-ng agent --conf conf/ --name a3 --conf-file job/group3/flume3-flume-logger.conf -Dflume.root.logger=INFO,console[root@note01 flume]# flume-ng agent --conf conf/ --name a2 --conf-file job/group3/flume2-netcat-flume.conf启动后再note03上显示
2019-10-31 09:37:24,264 (New I/O worker #1) [INFO - org.apache.avro.ipc.NettyServer$NettyServerAvroHandler.handleUpstream(NettyServer.java:171)] [id: 0x7bbfaba7, /192.168.18.100:53633 => /192.168.18.102:4141] CONNECTED: /192.168.18.100:53633
[root@note02 flume]# flume-ng agent --conf conf/ --name a1 --conf-file job/group3/flume1-logger-flume.con启动后再note03上显示
2019-10-31 09:40:02,147 (New I/O worker #2) [INFO - org.apache.avro.ipc.NettyServer$NettyServerAvroHandler.handleUpstream(NettyServer.java:171)] [id: 0x9464e8d3, /192.168.18.101:44106 => /192.168.18.102:4141] CONNECTED: /192.168.18.101:44106
在note02上向/opt/module目录下的group.log追加内容
[root@note02 module]# echo 'hello' > group.log在note01上向44444端口发送数据
[root@note01 ~]# telnet note01 44444在note03上显示输入内容
2019-10-31 09:41:55,388 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:95)] Event: { headers:{} body: 68 65 6C 6C 6F hello }
2019-10-31 09:43:05,423 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:95)] Event: { headers:{} body: 31 31 0D 11. }
