Flume-聚合案例

小灰灰 2022-11-29 01:00 188阅读 0赞

## 聚合 ##

**1）案例需求：**

hadoop102上的Flume-1监控文件/opt/module/group.log，

hadoop103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。

**2）需求分析**  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyNzI3MDk1_size_16_color_FFFFFF_t_70_pic_center]  
**3）实现步骤：**

（1）准备工作

在hadoop102、hadoop103以及hadoop104的/opt/module/flume/job目录下创建一个group3文件夹。

[qinjl@hadoop102 job]$ mkdir group3
    [qinjl@hadoop103 job]$ mkdir group3
    [qinjl@hadoop104 job]$ mkdir group3

（2）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hadoop102上编辑配置文件

[qinjl@hadoop102 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

（3）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hadoop103上编辑配置文件

[qinjl@hadoop103 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 = hadoop103
    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

（4）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上编辑配置文件

[qinjl@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

（5）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。

[qinjl@hadoop104 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group3/flume3-flume-logger.conf -Dflume.root.logger=INFO,console
    
    [qinjl@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a1 --conf-file job/group3/flume1-logger-flume.conf
    
    [qinjl@hadoop103 flume]$ bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group3/flume2-netcat-flume.conf

（6）在hadoop102上向/opt/module目录下的group.log追加内容

[qinjl@hadoop103 module]$ echo 'hello' > group.log

（7）在hadoop102上向44444端口发送数据

[qinjl@hadoop102 flume]$ nc hadoop103 44444

（8）检查hadoop104上数据  
![在这里插入图片描述][20200818210644975.png_pic_center]

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[20200818210644975.png_pic_center]: /images/20221124/e7010974f78648a3812a3d550136c52c.png