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Hadoop实战-Flume之Source regex_filter(十三)
a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = netcat a1.sources.r1.bind = localhost a1.sources.r1.port = 44444 a1.sources.r1.interceptors =i5 #a1.sources.r1.interceptors.i4.type = timestamp #a1.sources.r1.interceptors.i2.type = host #a1.sources.r1.interceptors.i3.type = static #a1.sources.r1.interceptors.i3.key = datacenter #a1.sources.r1.interceptors.i3.value = NEW_YORK #a1.sources.r1.interceptors.i1.type=regex_extractor #a1.sources.r1.interceptors.i1.regex = (\\d):(\\d):(\\d) #a1.sources.r1.interceptors.i1.serializers = s1 s2 s3 #a1.sources.r1.interceptors.i1.serializers.s1.name = one #a1.sources.r1.interceptors.i1.serializers.s2.name = two #a1.sources.r1.interceptors.i1.serializers.s3.name = three a1.sources.r1.interceptors.i5.type=regex_filter a1.sources.r1.interceptors.i5.regex=(\\w):(\\w):(\\w) # Describe the sink a1.sinks.k1.type = logger # Use a channel which buffers events in memory 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
Hadoop实战-Flume之Source regex_filter(十三)
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