Flume 案例实操 - 多数据源汇总案例

分手后的思念是犯贱 2022-01-30 14:41 351阅读 0赞

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## 需求分析 ##

1.  hadoop103上的flume-1监控文件`/opt/module/datas/flume_tmp.log`
2.  hadoop104上的flume-2监控某一个端口的数据流
3.  flume-1与flume-2将数据发送给hadoop102上的flume-3，flume-3将最终数据打印到控制台

![多数据源汇总案例][5ce141eee4b020998ae029e9.png]

## 实现步骤 ##

### 准备工作 ###

分发flume

xsync flume

在hadoop102、hadoop103以及hadoop104的`/opt/module/flume-1.7.0/job`目录下创建一个`group3`文件夹

mkdir group3
    cd group3

### 创建配置文件 ###

#### 创建flume1.conf ####

在hadoop103上创建配置文件，配置source用于监控`/opt/module/datas/flume_tmp.log`文件，配置sink输出数据到下一级flume。

vim flume1.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/datas/flume_tmp.log
    a1.sources.r1.shell = /bin/bash -c
    
    # Describe the sink
    a1.sinks.k1.type = avro
    a1.sinks.k1.hostname = hadoop102
    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

#### 创建flume2.conf ####

在hadoop104上创建配置文件，配置source监控端口44444数据流，配置sink数据到下一级flume。

vim flume2.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 = hadoop104
    a2.sources.r1.port = 44444
    
    # Describe the sink
    a2.sinks.k1.type = avro
    a2.sinks.k1.hostname = hadoop102
    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

#### 创建flume3.conf ####

在hadoop102上创建配置文件，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。

vim flume3.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 = hadoop102
    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

### 执行配置文件 ###

分别开启对应配置文件：flume3.conf，flume2.conf，flume1.conf。

hadoop102

bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group2/flume3.conf -Dflume.root.logger=INFO,console

hadoop104

bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group2/flume2.conf

hadoop103

bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group2/flume2.conf

### 测试 ###

在hadoop103上向`/opt/module/datas/flume_tmp.log`中追加内容

echo 'hello' > /opt/module/datas/flume_tmp.log

在hadoop104上向44444端口发送数据