a2.sources = r1
a2.channels = c1
a2.sinks = k1
a2.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
a2.sources.r1.batchSize = 5000
a2.sources.r1.batchDurationMillis = 2000
a2.sources.r1.kafka.bootstrap.servers = 服务地址ip:9092,服务地址ip:9092
a2.sources.r1.kafka.topics = 主题,主题,主题,主题
a2.sources.r1.kafka.consumer.group.id = flume_product_05
a2.sources.r1.setTopicHeader = true
a2.sources.r1.topicHeader = topic
#零点漂移问题
a2.sources.r1.interceptors = i1
a2.sources.r1.interceptors.i1.type = com.interceptor.TimeStampInterceptor$Builder
a2.sources.r1.kafka.consumer.auto.offset.reset=latest
a2.channels.c1.type = file
a2.channels.c1.checkpointDir = /data/module/flume-1.9.0/checkpoint/behavior4
a2.channels.c1.dataDirs = /data/module/flume-1.9.0/data/behavior4/
a2.channels.c1.maxFileSize = 2146435071
a2.channels.c1.capacity = 1000000
a2.channels.c1.keep-alive = 6
## sink1
a2.sinks.k1.type = hdfs
a2.sinks.k1.hdfs.path = /origin_data/db/%{database}/%{topic}_inc/%Y-%m-%d
a2.sinks.k1.hdfs.filePrefix = db
a2.sinks.k1.hdfs.round = false
a2.sinks.k1.hdfs.rollInterval = 300
a2.sinks.k1.hdfs.rollSize = 134217728
a2.sinks.k1.hdfs.rollCount = 0
a2.sinks.k1.hdfs.fileType = CompressedStream
a2.sinks.k1.hdfs.codeC = gzip
## 拼装
a2.sources.r1.channels = c1
a2.sinks.k1.channel = c1
#更具自己的要求自行修改
#a2.sources.r1.kafka.consumer.auto.offset.reset=latest
#a2.sinks.k1.hdfs.rollInterval = 300
相关解释
# Describe the sink
a2.sinks.k2.type = hdfs
a2.sinks.k2.hdfs.path = hdfs://master:8020/flume/data=%Y%m%d/hour=%H
#上传文件的前缀
a2.sinks.k2.hdfs.filePrefix = logs-
#是否按照时间滚动文件夹
a2.sinks.k2.hdfs.round = true
#多少时间单位创建一个新的文件夹
a2.sinks.k2.hdfs.roundValue = 1
#重新定义时间单位
a2.sinks.k2.hdfs.roundUnit = hour
#是否使用本地时间戳
a2.sinks.k2.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS一次
a2.sinks.k2.hdfs.batchSize = 100
#设置文件类型，可支持压缩
a2.sinks.k2.hdfs.fileType = DataStream
#多久生成一个新的文件
a2.sinks.k2.hdfs.rollInterval = 30
#设置每个文件的滚动大小
a2.sinks.k2.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a2.sinks.k2.hdfs.rollCount = 0