1.写一个shell脚本log.sh，产生数据

#bin/bash for((i=0;i<=10000;i++)) do echo "message-" +$i >> /home/hadoop/flume_source/click_log/1.log done

2.在flume的conf目录中配置采集数据方案exec.conf

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

Describe/configure the source

a1.sources.r1.type = exec a1.sources.r1.command = tail -F /home/hadoop/flume_source/click_log/1.log a1.sources.r1.channels = c1

Describe the sink

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.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k1.topic = test a1.sinks.k1.brokerList = 192.168.1.148:9092 a1.sinks.k1.requiredAcks = 1 a1.sinks.k1.batchSize = 20 a1.sinks.k1.channel = c1

3.开启zookeeper集群，kafka集群，启动flume bin/flume-ng agent -n a1 -c conf -f conf/exec.conf -Dflume.root.logger=INFO,console

启动kafka的消费者进行监控 kafka-console-consumer.sh --zookeeper min1:2181 -from-beginning --topic test 运行shell脚本sh log.sh 4.可以在consumer中看到如下数据监控：