#定义三大组件的名称
agent1.sources = source1
agent1.sinks = sink1
agent1.channels = channel1

# 配置source组件
agent1.sources.source1.type = spooldir
agent1.sources.source1.spoolDir = /home/hadoop/logs/
agent1.sources.source1.fileHeader = false

#配置拦截器
agent1.sources.source1.interceptors = i1
agent1.sources.source1.interceptors.i1.type = host
agent1.sources.source1.interceptors.i1.hostHeader = hostname

# 配置sink组件
agent1.sinks.sink1.type = hdfs
agent1.sinks.sink1.hdfs.path =hdfs://hdp-node-01:9000/weblog/flume-collection/%y-%m-%d/%H-%M
agent1.sinks.sink1.hdfs.filePrefix = access_log
agent1.sinks.sink1.hdfs.maxOpenFiles = 5000
agent1.sinks.sink1.hdfs.batchSize= 100
agent1.sinks.sink1.hdfs.fileType = DataStream
agent1.sinks.sink1.hdfs.writeFormat =Text
agent1.sinks.sink1.hdfs.rollSize = 102400
agent1.sinks.sink1.hdfs.rollCount = 1000000
agent1.sinks.sink1.hdfs.rollInterval = 60
#agent1.sinks.sink1.hdfs.round = true
#agent1.sinks.sink1.hdfs.roundValue = 10
#agent1.sinks.sink1.hdfs.roundUnit = minute
agent1.sinks.sink1.hdfs.useLocalTimeStamp = true
# Use a channel which buffers events in memory
agent1.channels.channel1.type = memory
agent1.channels.channel1.keep-alive = 120
agent1.channels.channel1.capacity = 500000
agent1.channels.channel1.transactionCapacity = 600

# Bind the source and sink to the channel
agent1.sources.source1.channels = channel1
agent1.sinks.sink1.channel = channel1

Channel参数解释：

capacity：默认该通道中最大的可以存储的event数量

trasactionCapacity：每次最大可以从source中拿到或者送到sink中的event数量

keep-alive：event添加到通道中或者移出的允许时间

2.采集文件到HDFS

根据需求，首先定义以下3大要素

采集源，即source——监控文件内容更新 : exec ‘tail -F file’
下沉目标，即sink——HDFS文件系统 : hdfs sink
Source和sink之间的传递通道——channel，可用file channel 也可以用内存channel

配置文件编写：.

agent1.sources = source1
agent1.sinks = sink1
agent1.channels = channel1

# Describe/configure tail -F source1
agent1.sources.source1.type = exec
agent1.sources.source1.command = tail -F /home/hadoop/logs/access_log
agent1.sources.source1.channels = channel1

#configure host for source
agent1.sources.source1.interceptors = i1
agent1.sources.source1.interceptors.i1.type = host
agent1.sources.source1.interceptors.i1.hostHeader = hostname

# Describe sink1
agent1.sinks.sink1.type = hdfs
#a1.sinks.k1.channel = c1
agent1.sinks.sink1.hdfs.path =hdfs://hdp-node-01:9000/weblog/flume-collection/%y-%m-%d/%H-%M
agent1.sinks.sink1.hdfs.filePrefix = access_log
agent1.sinks.sink1.hdfs.maxOpenFiles = 5000
agent1.sinks.sink1.hdfs.batchSize= 100
agent1.sinks.sink1.hdfs.fileType = DataStream
agent1.sinks.sink1.hdfs.writeFormat =Text
agent1.sinks.sink1.hdfs.rollSize = 102400
agent1.sinks.sink1.hdfs.rollCount = 1000000
agent1.sinks.sink1.hdfs.rollInterval = 60
agent1.sinks.sink1.hdfs.round = true
agent1.sinks.sink1.hdfs.roundValue = 10
agent1.sinks.sink1.hdfs.roundUnit = minute
agent1.sinks.sink1.hdfs.useLocalTimeStamp = true

# Use a channel which buffers events in memory
agent1.channels.channel1.type = memory
agent1.channels.channel1.keep-alive = 120
agent1.channels.channel1.capacity = 500000
agent1.channels.channel1.transactionCapacity = 600

# Bind the source and sink to the channel
agent1.sources.source1.channels = channel1
agent1.sinks.sink1.channel = channel1

tail-hdfs.conf

用tail命令获取数据，下沉到hdfs


mkdir /home/hadoop/log

while true
do
echo 111111 >> /home/admin/log/test.log
sleep 0.5
done

tail -F test.log

采集到hdfs中, 文件中的目录不用自己建的

检查下hdfs式否是salf模式:
    hdfs dfsadmin -report

bin/flume-ng agent -c conf -f conf/tail-hdfs.conf -n a1

前端页面查看下, master:50070, 文件目录: /flum/events/16-04-20/


启动命令：
bin/flume-ng agent -c conf -f conf/tail-hdfs.conf -n a1
################################################################

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

#exec 指的是命令
# Describe/configure the source
a1.sources.r1.type = exec
#F根据文件名追中, f根据文件的nodeid追中
a1.sources.r1.command = tail -F /home/admin/log/test.log
a1.sources.r1.channels = c1

# Describe the sink
#下沉目标
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
#指定目录, flum帮做目的替换
a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/
#文件的命名, 前缀
a1.sinks.k1.hdfs.filePrefix = events-

#10 分钟就改目录
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = minute

#文件滚动之前的等待时间(秒)
a1.sinks.k1.hdfs.rollInterval = 3

#文件滚动的大小限制(bytes)
a1.sinks.k1.hdfs.rollSize = 500

#写入多少个event数据后滚动文件(事件个数)
a1.sinks.k1.hdfs.rollCount = 20

#5个事件就往里面写入
a1.sinks.k1.hdfs.batchSize = 5

#用本地时间格式化目录
a1.sinks.k1.hdfs.useLocalTimeStamp = true

#下沉后, 生成的文件类型，默认是Sequencefile，可用DataStream，则为普通文本
a1.sinks.k1.hdfs.fileType = DataStream

# 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

从端口接收数据

在第一台机器上启动接收服务：

从avro端口接收数据，下沉到logger
bin/flume-ng agent -c conf -f conf/avro-logger.conf -n a1 -Dflume.root.logger=INFO,console
#########

采集配置文件，avro-hdfs.conf

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
#source中的avro组件是接收者服务, 绑定本机
a1.sources.r1.type = avro
a1.sources.r1.channels = c1
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 4141

# Describe the sink
a1.sinks.k1.type = logger

# 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

在第二台机器上发送数据：

向第二台机器的4141端口发送test.log文件数据

发送数据：
$ bin/flume-ng avro-client -H 第一台机器ip -p 4141 -F /home/admin/log/test.log

导航

采集目录到HDFS

2.采集文件到HDFS

从端口接收数据

更多source和sink组件