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  此篇博文讲的是Flume的负载均衡和故障转移。

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  单Source、Channel多Sink(负载均衡)如下图所示。

1. 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负责存储到控制台。同时Flume-1将变动内容传递给Flume-3，Flume-3也负责存储到控制台。

2. 需求分析

3. 实现步骤

1. 准备工作

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

[bigdata@hadoop002 job]$ mkdir group2
[bigdata@hadoop002 job]$ cd group2

2. 创建flume-netcat-flume.conf

  配置1个netcat source和1个channel、1个sink group（2个sink），分别输送给flume-flume-console1和flume-flume-console2。

• 1. 创建配置文件并打开

[bigdata@hadoop002 group2]$ vim flume-netcat-flume.conf

• 2. 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 = 44444a1.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 = hadoop002
a1.sinks.k1.port = 4141a1.sinks.k2.type = avro
a1.sinks.k2.hostname = hadoop002
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。

3. 创建flume-flume-console1.conf

配置上级Flume输出的Source，输出是到本地控制台。

• 1. 创建配置文件并打开

[bigdata@hadoop002 group2]$ vim flume-flume-console1.conf

• 2. 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 = hadoop002
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

4. 创建flume-flume-console2.conf

配置上级Flume输出的Source，输出是到本地控制台。

• 1. 创建配置文件并打开

[bigdata@hadoop002 group2]$ vim flume-flume-console2.conf

• 2. 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 = hadoop002
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

5. 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。

[bigdata@hadoop002 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group2/flume-flume-console2.conf -Dflume.root.logger=INFO,console
[bigdata@hadoop002 flume]$ bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group2/flume-flume-console1.conf -Dflume.root.logger=INFO,console
[bigdata@hadoop002 flume]$ bin/flume-ng agent --conf conf/ --name a1 --conf-file job/group2/flume-netcat-flume.conf

6. 使用netcat工具向本机的44444端口发送内容

$ nc localhost 44444

7. 查看Flume2及Flume3的控制台打印日志

我们可以看到，控制台出现的的回应是按照间隔来的，一段时间内输入的内容会在同一个控制台输出。

  本次的分享就到这里了,

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