1. 配置 flume
# define a1.sources = r1 a1.sinks = k1 a1.channels = c1 # source a1.sources.r1.type = exec a1.sources.r1.command = tail -F -c +0 /opt/module/datas/flume.log a1.sources.r1.shell = /bin/bash -c # sink a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k1.kafka.bootstrap.servers = hadoop102:9092,hadoop103:9092,hadoop104:9092 a1.sinks.k1.kafka.topic = first a1.sinks.k1.kafka.flumeBatchSize = 20 a1.sinks.k1.kafka.producer.acks = 1 a1.sinks.k1.kafka.producer.linger.ms = 1 # channel a1.channels.c1.type = memory a1.channels.c1.capacity = 1000 a1.channels.c1.transactionCapacity = 100 # bind a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1
2. 启动kafkaIDEA消费者
3. 启动flume
[codecat@hadoop102 flume-1.9.0]$ flume-ng agent -c conf/ -n a1 -f jobs/flume-flume-kafka.conf
4. 向/opt/module/datas/flume.log追加数据，查看kafka消费者消费情况
