Flume—(6)多数据源汇总

多数据源汇总案例

 

1.案例需求：

　　hadoop103上的Flume-1监控文件/opt/module/group.log

　　hddoop102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.实现步骤：

 0)准备工作

 分发Flume

[ck@hadoop102 module]$ xsync flume

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

[ck@hadoop102 job]$ mkdir group3
[ck@hadoop103 job]$ mkdir group3
[ck@hadoop104 job]$ mkdir group3

 1).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hadoop103上创建配置文件并打开

[ck@hadoop103 group3]$ touch flume1-logger-flume.conf
[ck@hadoop103 group3]$ vim flume1-logger-flume.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 = 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

2)．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hadoop102上创建配置文件并打开

[ck@hadoop102 group3]$ touch flume2-netcat-flume.conf
[ck@hadoop102 group3]$ vim flume2-netcat-flume.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 = hadoop102
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

3)．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。

在hadoop104上创建配置文件并打开

[ck@hadoop104 group3]$ touch flume3-flume-logger.conf
[ck@hadoop104 group3]$ vim flume3-flume-logger.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 = 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

 4)．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。

[ck@hadoop104 flume]$ bin/flume-ng agent –conf conf/ –name a3 –conf-file job/group3/flume3-flume-logger.conf -Dflume.root.logger=INFO,console

[ck@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a2 –conf-file job/group3/flume2-netcat-flume.conf

[ck@hadoop103 flume]$ bin/flume-ng agent –conf conf/ –name a1 –conf-file job/group3/flume1-logger-flume.conf

5)．在hadoop103上向/opt/module目录下的group.log追加内容

[ck@hadoop103 module]$ echo ‘hello’ > group.log

6)．在hadoop102上向44444端口发送数据

[ck@hadoop102 flume]$ telnet hadoop102 44444

7).检查hadoop104上数据

分发Flume