Flume基础（八）：企业开发案例（五）

单数据源多出口案例(Sink 组)

单 Source、Channel 多 Sink(负载均衡)如图 7-3 所示。

图 7-3 单 Source、Channel 多 Sink

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/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 group2]$ touch flume-netcat-flume.conf
[atguigu@hadoop102 group2]$ 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 = 44444
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 是由 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）—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，输出是到本地控制台。

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，输出是到本地控制台。

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

添加如下内容 

# 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。

[atguigu@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name 
a3 --conf-file job/group2/flume-flume-console2.conf
-Dflume.root.logger=INFO,console
[atguigu@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name 
a2 --conf-file job/group2/flume-flume-console1.conf
-Dflume.root.logger=INFO,console
[atguigu@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

$ telnet localhost 44444

6. 查看 Flume2 及 Flume3 的控制台打印日志