二话不说，上配置文件
exec-memory-avro.conf
exec-memory-avro.sources = exec-source
exec-memory-avro.sinks = avro-sink
exec-memory-avro.channels = memory-channel
exec-memory-avro.sources.exec-source.type = exec
exec-memory-avro.sources.exec-source.command = tail -F /home/bigdata/data/date.log
exec-memory-avro.sources.exec-source.shell = /bin/sh -c
exec-memory-avro.sinks.avro-sink.type = avro
exec-memory-avro.sinks.avro-sink.hostname = wxincentos3
exec-memory-avro.sinks.avro-sink.port = 44444
exec-memory-avro.channels.memory-channel.type = memory
exec-memory-avro.sources.exec-source.channels = memory-channel
exec-memory-avro.sinks.avro-sink.channel = memory-channel
这个是用shell命令行来读取文件
写完配置文件就可以启动这个agent了
flume-ng agent -c . -f /root/wangxin/flume/exec-memory-avro.conf -n exec-memory-avro -Dflume.root.logger=INFO,console &
exec-memory-avro就是要配置文件里的agent服务器名称
avro.conf
avro-memory-kafka.sources = avro-source
avro-memory-kafka.sinks = kafka-sink
avro-memory-kafka.channels = memory-channel
avro-memory-kafka.sources.avro-source.type = avro
avro-memory-kafka.sources.avro-source.bind = wxincentos3
avro-memory-kafka.sources.avro-source.port = 44444
avro-memory-kafka.sinks.kafka-sink.type = org.apache.flume.sink.kafka.KafkaSink
avro-memory-kafka.sinks.kafka-sink.brokerList = wxincentos3:9092
avro-memory-kafka.sinks.kafka-sink.topic = test
avro-memory-kafka.sinks.kafka-sink.batchSize = 5
avro-memory-kafka.sinks.kafka-sink.requiredAcks =1
avro-memory-kafka.channels.memory-channel.type = memory
avro-memory-kafka.sources.avro-source.channels = memory-channel
avro-memory-kafka.sinks.kafka-sink.channel = memory-channel
这个配置文件是将读取到的数据传入到kafka 的
flume-ng agent -c . -f /root/wangxin/flume/avro.conf -n avro-memory-kafka -Dflume.root.logger=INFO,console &
两个agent 启动完成之后kafka里的topic就接收到数据了。