原理
整合示例
第一步：在flume下的job文件夹中编写Flume配置文件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 /usr/local/test/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 = hcmaster:9092,hcslave1:9092,hcslave2:9092
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
第二步：运行
- 启动Flume
- 启动Kafka的Consumer
- 在/usr/local/test下面创建flume.log，然后往里面输入文本
- 在Kafka的Consumer可以看到：
