大数据技术之Flume 企业开发案例——负载均衡和故障转移（6）

目录

负载均衡和故障转移

1）案例需求

2）需求分析

3）实现步骤

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负载均衡和故障转移

1）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。

2）需求分析

故障转移案例

 

3）实现步骤

1. 准备工作

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

   [lzl@hadoop12 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。

    

   编辑配置文件

   [lzl@hadoop12 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 = 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 = hadoop12
   a1.sinks.k1.port = 4141
   a1.sinks.k2.type = avro
   a1.sinks.k2.hostname = hadoop12
   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

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。

    

   编辑配置文件

   [lzl@hadoop12 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 = hadoop12
   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。

   编辑配置文件

   [lzl@hadoop12 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 = hadoop12
   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。

   [lzl@hadoop12 flume]$ bin/flume-ng agent --conf conf/ --name 
   a3 --conf-file job/group2/flume-flume-console2.conf -
   Dflume.root.logger=INFO,console[lzl@hadoop12 flume]$ bin/flume-ng agent --conf conf/ --name 
   a2 --conf-file job/group2/flume-flume-console1.conf -
   Dflume.root.logger=INFO,console[lzl@hadoop12 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

8. 将 Flume2 kill，观察 Flume3 的控制台打印情况。

   注意：使用 jps -ml 查看 Flume 进程。