Flume與kafka集成

1）配置flume(flume-kafka.conf)
# 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） 啟動kafkaIDEA消費者

3） 進入flume根目錄下，啟動flume

$ bin/flume-ng agent -c conf/ -n a1 -f jobs/flume-kafka.conf

4） 向 /opt/module/datas/flume.log里追加數據，查看kafka消費者消費情況

$ echo hello > /opt/module/datas/flume.log