Flume 进阶案例 – 聚合

聚合

1）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。

2）需求分析

（1）准备工作

分发Flume


[hadoop@hadoop102 module]$ xsync flume-1.9.0

在hadoop102、hadoop103以及hadoop104的 /opt/module/flume/jobs 目录下创建一个group3文件夹。


[hadoop@hadoop102 jobs]$ mkdir group3
[hadoop@hadoop103 jobs]$ mkdir group3
[hadoop@hadoop104 jobs]$ mkdir group3

（2）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hadoop102上编辑配置文件


[hadoop@hadoop102 group3]$ 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

（3）创建flume2-netcat-flume.conf

配置Source监控端口6666数据流，配置Sink数据到下一级Flume：

在hadoop103上编辑配置文件


[hadoop@hadoop103 group3]$ 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 = 6666

# 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

（4）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。


[hadoop@hadoop104 group3]$ 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
# 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

（5）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。


[hadoop@hadoop104 flume-1.9.0]$ flume-ng agent -c  $FLUME_HOME/conf  -f  $FLUME_HOME/jobs/group3/flume3-flume-logger.conf -n a3 -Dflume.root.logger=INFO,console
[hadoop@hadoop102 flume-1.9.0]$ flume-ng agent -c  $FLUME_HOME/conf  -f  $FLUME_HOME/jobs/group3/flume1-logger-flume.conf -n a1 -Dflume.root.logger=INFO,console
[hadoop@hadoop103 flume-1.9.0]$ flume-ng agent -c  $FLUME_HOME/conf  -f  $FLUME_HOME/jobs/group3/flume2-netcat-flume.conf -n a2 -Dflume.root.logger=INFO,console

（6）在hadoop102上向/opt/module目录下的group.log追加内容


[hadoop@hadoop102 module]$ echo 'hello' > group.log

（7）在hadoop103上向6666端口发送数据


[hadoop@hadoop103 flume-1.9.0]$ nc localhost 6666

flume
OK

（8）检查hadoop104上数据

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