#agent1(hadoop102)
a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /opt/module/flume/demo/123.log
#配置channelSelector - replicating(复制-默认不配也可以)
#a1.sources.r1.selector.type = replicating
#复用
a1.sources.r1.selector.type = multiplexing
#event(headers | body)根据headers中的key和value进行数据的发送
#state指的是headers，key的值
a1.sources.r1.selector.header = state
#CZ指的是key对应的value值那么就发送到c1
a1.sources.r1.selector.mapping.CZ = c1
#US指的是key对应的value值那么就发送到c2
a1.sources.r1.selector.mapping.US = c2
#需求：给event中的headers添加数据
#static拦截器可以给所有的eventheaders设置我们自定义的key和value
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = static
#设置key值
a1.sources.r1.interceptors.i1.key = state
#设置value值
a1.sources.r1.interceptors.i1.value = CZ
a1.channels.c1.type = memory
a1.channels.c2.type = memory
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = hadoop103
a1.sinks.k1.port = 33333
a1.sinks.k2.type = avro
a1.sinks.k2.hostname = hadoop104
a1.sinks.k2.port = 44444
#一个source对接两个channel
a1.sources.r1.channels = c1 c2
a1.sinks.k1.channel = c1
a1.sinks.k2.channel = c2
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#agent2(hadoop103)
a1.sources = r1
a1.channels = c1
a1.sinks = k1
a1.sources.r1.type = avro
a1.sources.r1.bind = hadoop103
a1.sources.r1.port = 33333
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.sinks.k1.type = logger
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
-----------------------------------------------------------------
#agent3(hadoop104)
a1.sources = r1
a1.channels = c1
a1.sinks = k1
a1.sources.r1.type = avro
a1.sources.r1.bind = hadoop104
a1.sources.r1.port = 44444
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
#a1.sinks.k1.type = logger
#将event数据存储到本地磁盘上
a1.sinks.k1.type = file_roll
#event存放的目录
a1.sinks.k1.sink.directory = /opt/module/flume/demo
#多久时间滚动一个新文件（30秒）
a1.sinks.k1.sink.rollInterval = 30
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1