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> wget http://mirrors.hust.edu.cn/apache/flume/1.8.0/apache-flume-1.8.0-src.tar.gz
> tar -zxvf apache-flume-1.8.0-src.tar.gz
> mv apache-flume-1.8.0 flume

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> cd /usr/local/flume/conf
> touch example.conf

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.command =
tail -f /data/log/test.log
# Describe the sink
#a1.sinks.k1.type = logger
# 使用此项配置，会直接将数据打印到终端
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = 172.16.29.11
a1.sinks.k1.port = 4444
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

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> vi /etc/profile

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...
#flume
export FLUME_HOME=/usr/local/flume
export PATH=$PATH:$FLUME_HOME/bin

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> source /etc/profile

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = 172.16.29.11
a1.sources.r1.port = 4444
# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = hdfs://172.16.29.11:9000/user/zhangsan
# hdfs的一个目录
a1.sinks.k1.hdfs.writeFormat = Text
a1.sinks.k1.hdfs.fileType = DataStream
a1.sinks.k1.hdfs.rollInterval = 20
a1.sinks.k1.hdfs.rollSize = 0
a1.sinks.k1.hdfs.rollCount = 0
a1.sinks.k1.hdfs.filePrefix = %Y-%m-%d-%H-%M-%S
a1.sinks.k1.hdfs.useLocalTimeStamp = true
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

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> flume-ng agent -c /usr/local/flume/conf -f /usr/local/flume/conf/example.conf -Dflume.root.logger=INFO,console -n a1

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
## exec表示flume回去调用给的命令，然后从给的命令的结果中去拿数据
a1.sources.r1.type = exec
## 使用tail这个命令来读数据
a1.sources.r1.command = tail -F /home/tuzq/software/flumedata/test.log
a1.sources.r1.channels = c1
# Describe the sink
## 表示下沉到hdfs，类型决定了下面的参数
a1.sinks.k1.type = hdfs
## sinks.k1只能连接一个channel，source可以配置多个
a1.sinks.k1.channel = c1
## 下面的配置告诉用hdfs去写文件的时候写到什么位置，下面的表示不是写死的，而是可以动态的变化的。表示输出的目录名称是可变的
a1.sinks.k1.hdfs.path = /flume/tailout/%y-%m-%d/%H%M/
##表示最后的文件的前缀
a1.sinks.k1.hdfs.filePrefix = events-
## 表示到了需要触发的时间时，是否要更新文件夹，true:表示要
a1.sinks.k1.hdfs.round = true
## 表示每隔1分钟改变一次
a1.sinks.k1.hdfs.roundValue = 1
## 切换文件的时候的时间单位是分钟
a1.sinks.k1.hdfs.roundUnit = minute
## 表示只要过了3秒钟，就切换生成一个新的文件
a1.sinks.k1.hdfs.rollInterval = 3
## 如果记录的文件大于20字节时切换一次
a1.sinks.k1.hdfs.rollSize = 20
## 当写了5个事件时触发
a1.sinks.k1.hdfs.rollCount = 5
## 收到了多少条消息往dfs中追加内容
a1.sinks.k1.hdfs.batchSize = 10
## 使用本地时间戳
a1.sinks.k1.hdfs.useLocalTimeStamp = true
#生成的文件类型，默认是Sequencefile，可用DataStream：为普通文本
a1.sinks.k1.hdfs.fileType = DataStream
# Use a channel which buffers events in memory
##使用内存的方式
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1