一、目的
对于Flume的负载均衡和故障转移拓扑结构，进行一个开发测试
二、负载均衡和故障转移
（一）结构含义
Flume支持使用将多个sink逻辑上分到一个sink组
（二）结构特征
sink组配合不同的SinkProcessor可以实现负载均衡和错误恢复的功能
三、需求案例
（一）案例需求
使用 Flume1 监控一个端口，其sink组中的sink分别对接 Flume2 和 Flume3，采用FailoverSinkProcessor，实现故障转移的功能。
（二）需求分析
四、前期准备
（一）安装好Flume工具
（二）在Flume中创建测试任务的文件夹group2
root@hurys23 conf# mkdir group2
root@hurys23 conf# cd ./group2/
root@hurys23 group2# pwd
/usr/local/hurys/dc_env/flume/flume190/conf/group2
五、在group2中创建flume的任务文件
（一）创建任务文件 a1 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。
root@hurys23 group2# vi flume-netcat-flume.conf
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 = failover
a1.sinkgroups.g1.processor.priority.k1 = 5
a1.sinkgroups.g1.processor.priority.k2 = 10
a1.sinkgroups.g1.processor.maxpenalty = 10000
Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = hurys23
a1.sinks.k1.port = 4141
a1.sinks.k2.type = avro
a1.sinks.k2.hostname = hurys23
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
注意：
1、配置文件中的各项参数需要调式，这里只是为了演示，实现目的、打通路径即可！实际在项目中操作时需要调试参数。
2、a1.sinks.k1.hostname = hurys23 hurys23 为服务器名字
（二）创建任务文件 a2 flume-flume-console1.conf
配置上级 Flume 输出的 Source，输出是到本地控制台。
root@hurys23 group2# vi flume-flume-console1.conf
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 = hurys23
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
（三）创建任务文件 a3 flume-flume-console2.conf
配置上级 Flume 输出的 Source，输出是到本地控制台。
root@hurys23 group2# vi flume-flume-console2.conf
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 = hurys23
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
六、分别启动Flume任务文件
（一）首先启动 a3 flume-flume-console2.conf
root@hurys23 flume190# bin/flume-ng agent -n a3 -f /usr/local/hurys/dc_env/flume/flume190/conf/group2/flume-flume-console2.conf
（二）其次启动 a2 flume-flume-console1.conf
root@hurys23 flume190# bin/flume-ng agent -n a2 -f /usr/local/hurys/dc_env/flume/flume190/conf/group2/flume-flume-console1.conf
（三）最后启动 a1 flume-netcat-flume.conf
root@hurys23 flume190# bin/flume-ng agent -n a1 -f /usr/local/hurys/dc_env/flume/flume190/conf/group2/flume-netcat-flume.conf
七、使用 netcat 工具向本机的 44444 端口发送内容
root@hurys23 \~# nc localhost 44444
hello world
OK
hello java
OK
hello hadoop
OK
hello flume
OK
八、Flume任务运行执行状况
（一）a1 a1任务运行截图
（二）a2 a2任务运行截图
（三）a3 a3任务运行截图
2023-12-12 17:29:38,391 INFO sink.LoggerSink: Event: { headers:{} body: 68 65 6C 6C 6F 20 77 6F 72 6C 64 hello world }
2023-12-12 17:29:43,331 INFO sink.LoggerSink: Event: { headers:{} body: 68 65 6C 6C 6F 20 6A 61 76 61 hello java }
2023-12-12 17:29:49,027 INFO sink.LoggerSink: Event: { headers:{} body: 68 65 6C 6C 6F 20 68 61 64 6F 6F 70 hello hadoop }
2023-12-12 17:29:53,028 INFO sink.LoggerSink: Event: { headers:{} body: 68 65 6C 6C 6F 20 66 6C 75 6D 65 hello flume }
Flume负载均衡和故障转移拓扑结构的测试成功，当然这个案例比较简单。
Flume玩法继续研究中！