Flume—(5)单数据源多出口

单Source、Channel多Sink（负载均衡）

 

1. 案例需求

　　使用Flume-1监控文件变动，Flume-1将变动内容传递给Flume-2，Flume-2负责存储到HDFS。同时Flume-1将变动内容传递给Flume-3，Flume-3也负责存储到HDFS。

2. 需求分析

 

3.实现步骤

0).准备工作

在/opt/module/flume-1.9.0/job目录下创建group2文件夹

[atguigu@hadoop102 job]$ cd group2

1).创建flume-netcat-flume.conf

 配置1个接收日志文件的source和1个Channel、两个sink，分别输送给flume-flume-console1 和flume-flume-console2。

 创建配置文件并打开

[atguigu@hadoop102 job]$ touch  flume-netcat-flume.conf
[atguigu@hadoop102 job]$ vim flume-netcat-flume.conf

添加如下内容

# Name the components on this agent
a1.sources = r1
a1.channels = c1
a1.sinkgroups = g1
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44445
a1.sinkgroups.g1.processor.type = load_balance
a1.sinkgroups.g1.processor.backoff = true
a1.sinkgroups.g1.processor.selector = round_robin
a1.sinkgroups.g1.processor.selector.maxTimeOut=10000

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = hadoop102
a1.sinks.k1.port = 4141
a1.sinks.k2.type = avro
a1.sinks.k2.hostname = hadoop102
a1.sinks.k2.port = 4142

# 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.sinkgroups.g1.sinks = k1 k2
a1.sinks.k1.channel = c1
a1.sinks.k2.channel = c1

   注：Avro是hadoop创始人Doug Cutting创建的一种语言无关的数据序列化和RPC框架。

   注：RPC（Remote Procedure Call）一远程过程调用，它是一种通过网络从远程计算机程序上请求服务，而不需要了解底层网络技术的协议。

2).创建flume-flume-console1.conf

配置上级Flume输出的Source，输出时到本地控制台。

创建配置文件并打开

 [atguigu@hadoop102 group2]$ touch flume-flume-console1.conf
 [atguigu@hadoop102 group2]$ vim flume-flume-console1.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 = avro
a2.sources.r1.bind = hadoop102
a2.sources.r1.port = 4141

# Describe the sink
a2.sinks.k1.type = logger

# Describe the channel
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flume-flume-console2.conf

配置上级Flume输出的Source，输出时到本地控制台。

创建配置文件并打开

[atguigu@hadoop102 group2]$ touch flume-flume-console2.conf
[atguigu@hadoop102 group2]$ vim flume-flume-console2.conf

添加一下内容：

# Name the components on this agent
a3.sources = r1
a3.sinks = k1
a3.channels = c2

# Describe/configure the source
a3.sources.r1.type = avro
a3.sources.r1.bind = hadoop102
a3.sources.r1.port = 4142

# Describe the sink
a3.sinks.k1.type = logger

# Describe the channel
a3.channels.c2.type = memory
a3.channels.c2.capacity = 1000
a3.channels.c2.transactionCapacity = 100

# Bind the source and sink to the channel
a3.sources.r1.channels = c2
a3.sinks.k1.channel = c2

4).执行配置文件

分别开启对应配置文件：flume-flume-console2，flume-flume-console1，flume-netcat-flume。

[ck@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a3 –conf-file job/group2/flume-flume-console2.conf -Dflume.root.logger=INFO,console

[ck@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a2 –conf-file job/group2/flume-flume-console1.conf -Dflume.root.logger=INFO,console

[ck@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a1 –conf-file job/group2/flume-netcat-flume.conf

5).使用telnet工具向本机的44444端口发送内容

[atguigu@hadoop102 ~]$ telnet localhost 44445

查看Flume2及Flume3的控制台打印日志

源于atguigu视频