flume实时监控日志文件到hdfs

1、复制jar包到flume/lib下

 

commons-configuration-1.6.jar  
commons-io-2.4.jar  
hadoop-annotations-2.7.6.jar  
hadoop-auth-2.7.6.jar  
hadoop-common-2.7.6.jar  
hadoop-hdfs-2.7.6.jar 
htrace-core-3.1.0-incubation.jar 

 2、创建flume-hdfs.conf文件     vim    flume-hdfs.conf

#name the components on this agent
a2.sources = r2
a2.sinks = k2
a2.channels = c2
 
# Describe/configure the source
a2.sources.r2.type = exec
a2.sources.r2.command = tail -F /tmp/haitao/hive.log
a2.sources.r2.bind = hadoop002
a2.sources.r2.shell = /bin/bash -c
 
# Describe the sink
a2.sinks.k2.type = hdfs
a2.sinks.k2.hdfs.path = hdfs://hadoop002:9000/flume/%Y%m%d/%H
#上传文件的前缀
a2.sinks.k2.hdfs.filePrefix = logs-haitao-
#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 = 1000
#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 = 60
#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
#最小冗余数
a2.sinks.k2.hdfs.minBlockReplicas = 1
 
# Use a channel which buffers events in memory
a2.channels.c2.type = memory
a2.channels.c2.capacity = 1000
a2.channels.c2.transactionCapacity = 100
 
# Bind the source and sink to the channel
a2.sources.r2.channels = c2
a2.sinks.k2.channel = c2
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 3、执行监控配置  

首先进入flume安装目录  cd /usr/local/flume

bin/flume-ng agent --conf conf/ --name a2 --conf-file job/flume-hdfs.conf