Kafka作为 flume source，hdfs作为 sink 如何书写 配置文件

#定义组件

a1.sources=r1

a1.channels=c1

a1.sinks=k1

#配置source1

a1.sources.r1.type = org.apache.flume.source.kafka.KafkaSource

a1.sources.r1.batchSize = 5000

a1.sources.r1.batchDurationMillis = 2000

a1.sources.r1.kafka.bootstrap.servers = hadoop102:9092,hadoop103:9092,hadoop104:9092

a1.sources.r1.kafka.topics=自定义主题

a1.sources.r1.interceptors = i1

a1.sources.r1.interceptors.i1.type = 可以自定义拦截器

#配置channel

a1.channels.c1.type = file

a1.channels.c1.checkpointDir = /opt/module/flume/checkpoint/behavior1

a1.channels.c1.dataDirs = /opt/module/flume/data/behavior1

a1.channels.c1.maxFileSize = 2146435071

a1.channels.c1.capacity = 1000000

a1.channels.c1.keep-alive = 6

#配置sink

a1.sinks.k1.type = hdfs

a1.sinks.k1.hdfs.path = 自定义

a1.sinks.k1.hdfs.filePrefix = log

a1.sinks.k1.hdfs.round = false

a1.sinks.k1.hdfs.rollInterval = 10

a1.sinks.k1.hdfs.rollSize = 134217728

a1.sinks.k1.hdfs.rollCount = 0

#控制输出文件类型

a1.sinks.k1.hdfs.fileType = CompressedStream

a1.sinks.k1.hdfs.codeC = gzip 

#组装

a1.sources.r1.channels = c1

a1.sinks.k1.channel = c1