flume 多chanel配置

#配置文
a1.sources= r1
a1.sinks= k1 k2
a1.channels= c1 c2  

#Describe/configure the source  

a1.sources.r1.type = avro
a1.sources.r1.bind =  slave3
a1.sources.r1.port =
a1.sources.r1.host=slave3
a1.sources.r1.selector.type = replicating
a1.sources.r1.channels = c1 c2 

#第一个 hdfs
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /maats5/%{logtype}/logdate=%{date}/
a1.sinks.k1.hdfs.filePrefix = %{logtype}-%{date}
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue =
a1.sinks.k1.hdfs.roundUnit = hour
a1.sinks.k1.hdfs.rollInterval =
a1.sinks.k1.hdfs.rollSize = 

a1.sinks.k1.hdfs.useLocalTimeStamp = true
a1.sinks.k1.hdfs.fileType=DataStream
a1.sinks.k1.hdfs.writeFormat=Text
#第二个到kafka

#a1.channels = c1
#a1.sinks = k1
#a1.sinks.k1.type = org.example.MySink
#a1.sinks.k1.channel = c1

a1.sinks.k2.channel = c2
a1.sinks.k2.type = my.bigdata.KafkaSink2
a1.sinks.k2.kafka.topic = maats1
a1.sinks.k2.kafka.bootstrap.servers = slave3:
a1.sinks.k2.kafka.flumeBatchSize =
a1.sinks.k2.kafka.producer.acks =
a1.sinks.k2.kafka.producer.linger.ms =
#a1.sinks.ki.kafka.producer.compression.type = snappy

# Usea channel which buffers events in memory
a1.channels.c1.type= memory
a1.channels.c1.capacity=
a1.channels.c1.transactionCapacity=   

a1.channels.c2.type= memory
a1.channels.c2.capacity=
a1.channels.c2.transactionCapacity=