1、Kafka作为Source【数据进入到kafka中，抽取出来】

kafka源 --> memory --> 控制台：

a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

a1.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.r1.batchSize = 100
a1.sources.r1.batchDurationMillis = 2000
a1.sources.r1.kafka.bootstrap.servers = node01:9092,node02:9092,node03:9092
a1.sources.r1.kafka.topics = five
a1.sources.r1.kafka.consumer.group.id = donghu

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

a1.sinks.k1.type = logger
a1.sinks.k1.maxBytesToLog = 128

2、kafka作为Sink 【数据从别的地方抽取到kafka里面】

netcat --> memory -->kafka：

##a1就是flume agent的名称
## source r1
## channel c1
## sink k1
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = bigdata01
a1.sources.r1.port = 44444

# 修改sink为kafka
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.kafka.bootstrap.servers = node01:9092
a1.sinks.k1.kafka.topic = five
a1.sinks.k1.kafka.producer.acks = 1
a1.sinks.k1.kafka.producer.linger.ms = 1

# 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