五、单数据源多出口案例(Sink 组)
单 Source、Channel 多 Sink(负载均衡)如图所示。
5.1 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。
5.2 需求分析：
5.3 实现步骤：
0．准备工作
在/opt/module/flume/job 目录下创建 group2 文件夹
[root@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
[root@hadoop102 group2]$ touch flume-netcat-flume.conf [root@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
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
[root@hadoop102 group2]$ touch flume-flume-console1.conf [root@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
[root@hadoop102 group2]$ touch flume-flume-console2.conf [root@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。
[root@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group2/flume-flume-console2.conf -Dflume.root.logger=INFO,console [root@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group2/flume-flume-console1.conf -Dflume.root.logger=INFO,console [root@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
六、多数据源汇总案例
多 Source 汇总数据到单 Flume 如图所示。
6.1 案例需求：
hadoop103 上的 Flume-1 监控文件/opt/module/group.log，
hadoop102 上的 Flume-2 监控某一个端口的数据流，
Flume-1 与 Flume-2 将数据发送给 hadoop104 上的 Flume-3，
Flume-3 将最终数据打印到控制台。
6.2 需求分析：
6.3 实现步骤：
0．准备工作
分发 Flume
[root@hadoop102 module]$ xsync flume
在hadoop102、hadoop103以及hadoop104的/opt/module/flume/job目录下创建一个group3 文件夹。
[root@hadoop102 job]$ mkdir group3 [root@hadoop103 job]$ mkdir group3 [root@hadoop104 job]$ mkdir group3
1．创建 flume1-logger-flume.conf
配置 Source 用于监控 hive.log 文件，配置 Sink 输出数据到下一级 Flume。
在 hadoop103 上创建配置文件并打开
[root@hadoop103 group3]$ touch flume1-logger-flume.conf [root@hadoop103 group3]$ vim flume1-logger-flume.conf
添加如下内容
# Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = exec a1.sources.r1.command = tail -F /opt/module/group.log a1.sources.r1.shell = /bin/bash -c # Describe the sink a1.sinks.k1.type = avro a1.sinks.k1.hostname = hadoop104 a1.sinks.k1.port = 4141 # 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.sinks.k1.channel = c1
2．创建 flume2-netcat-flume.conf
配置 Source 监控端口 44444 数据流，配置 Sink 数据到下一级 Flume：
在 hadoop102 上创建配置文件并打开
[root@hadoop102 group3]$ touch flume2-netcat-flume.conf [root@hadoop102 group3]$ vim flume2-netcat-flume.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 = netcat a2.sources.r1.bind = hadoop102 a2.sources.r1.port = 44444 # Describe the sink a2.sinks.k1.type = avro a2.sinks.k1.hostname = hadoop104 a2.sinks.k1.port = 4141 # Use a channel which buffers events in memory 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 flume3-flume-logger.conf
配置 source 用于接收 flume1 与 flume2 发送过来的数据流，最终合并后 sink 到控制台。
在 hadoop104 上创建配置文件并打开
[root@hadoop104 group3]$ touch flume3-flume-logger.conf [root@hadoop104 group3]$ vim flume3-flume-logger.conf
添加如下内容
# Name the components on this agent a3.sources = r1 a3.sinks = k1 a3.channels = c1 # Describe/configure the source a3.sources.r1.type = avro a3.sources.r1.bind = hadoop104 a3.sources.r1.port = 4141 # Describe the sink # Describe the sink a3.sinks.k1.type = logger # Describe the channel a3.channels.c1.type = memory a3.channels.c1.capacity = 1000 a3.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a3.sources.r1.channels = c1 a3.sinks.k1.channel = c1
4．执行配置文件
分 别 开 启 对 应 配 置 文 件 ： flume3-flume-logger.conf ， flume2-netcat-flume.conf ， flume1-logger-flume.conf。
[root@hadoop104 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group3/flume3-flume-logger.conf -Dflume.root.logger=INFO,console [root@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group3/flume2-netcat-flume.conf [root@hadoop103 flume]$ bin/flume-ng agent --conf conf/ --name a1 --conf-file job/group3/flume1-logger-flume.conf
5．在 hadoop103 上向/opt/module 目录下的 group.log 追加内容
[root@hadoop103 module]$ echo 'hello' > group.log
6．在 hadoop102 上向 44444 端口发送数据
[root@hadoop102 flume]$ telnet hadoop102 44444
7．检查 hadoop104 上数据
