案例需求：
hadoop102 上的 Flume-1 监控文件/opt/module/group.log，
hadoop103 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。
- 在module目录下分发 Flume
xsync flume
2. 在/opt/module/flume/job下创建group3文件夹
mkdir group3/
3. 配置 Source 用于监控 hive.log 文件，配置 Sink 输出数据到下一级 Flume。
vim flume1-logger-flume.conf
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 = hadoop104
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
- 配置 Source 监控端口 44444 数据流，配置 Sink 数据到下一级 Flume
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 = hadoop103
a2.sources.r1.port = 44444
Describe the sink
a2.sinks.k1.type = avro
a2.sinks.k1.hostname = hadoop104
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
- 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。
vim flume3-flume-logger.conf
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 = hadoop104
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
- 分group3文件夹
xsync group3
7. 分别开启对应配置文件：flume3-flume-logger.conf，flume2-netcat-flume.conf，flume1-logger-flume.conf。在hadoop104上
bin/flume-ng agent -n a3 -c conf/ -f job/group3/flume3-flume-logger.conf -Dflume.root.logger=INFO,console
bin/flume-ng agent -n a2 -c conf/ -f job/group3/flume2-netcat-flume.conf
bin/flume-ng agent -n a1 -c conf/ -f job/group3/flume1-logger-flume.conf
8. 在/opt/module 下创建 group.log
touch group.log
9. 测试：在hadoop103上打开端口
nc hadoop103 44444
echo flume >> group.log
10. 这就实现了跨服务器的数据聚集
Original: https://www.cnblogs.com/hz-Master/p/16246589.html
Author: hz15968199950
Title: Flume聚合
原创文章受到原创版权保护。转载请注明出处：https://www.johngo689.com/563040/
转载文章受原作者版权保护。转载请注明原作者出处！