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  • Flume案例:多数据源汇总案例

    多数据源汇总案例 

    1) 案例需求:

    hadoop103上的flume-1监控文件hive.log

    hadoop104上的flume-2监控某一个端口的数据流,

    flume-1flume-2将数据发送给hadoop102上的flume-3flume-3将最终数据打印到控制台

    2)需求分析:

    3)实现步骤:

    0.准备工作

    分发flume

    [jason@hadoop102 module]$ xsync flume

    hadoop102hadoop103以及hadoop104的/opt/module/flume/job目录创建一个group2文件

    [jason@hadoop102 job]$ mkdir group2
    
    
    [jason@hadoop103 job]$ mkdir group2
    
    
    [jason@hadoop104 job]$ mkdir group2

    1.创建flume1.conf

    配置source用于监控hive.log文件,配置sink输出数据到下一级flume

    hadoop103上创建配置文件并打开

    [jason@hadoop103 group2]$ touch flume1.conf
    
    
    [jason@hadoop103 group2]$ 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/group.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

    2.创建flume2.conf

    配置source监控端口44444数据流,配置sink数据到下一级flume

    hadoop104上创建配置文件并打开

    [jason@hadoop104 group2]$ touch flume2.conf
    
    
    [jason@hadoop104 group2]$ 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

    3.创建flume3.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。

    hadoop102上创建配置文件并打开

    [jason@hadoop102 group2]$ touch flume3.conf
    
    
    [jason@hadoop102 group2]$ 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 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.conf,flume2.conf,flume1.conf。

    [jason@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/group2/flume3.conf -Dflume.root.logger=INFO,console
    [jason@hadoop104 flume]$ bin/flume-ng agent --conf conf/ --name a2 --conf-file job/group2/flume2.conf
    [jason@hadoop103 flume]$ bin/flume-ng agent --conf conf/ --name a1 --conf-file job/group2/flume1.conf

    5.在hadoop103上向/opt/module目录下的group.log追加内容

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

    6.在hadoop104上向44444端口发送数据

    [jason@hadoop104 flume]$ telnet hadoop104 44444

    7.检查hadoop102上数据

     

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  • 原文地址:https://www.cnblogs.com/LIAOBO/p/13634693.html
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