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