flume案例-flume级联-配置文件编写

分析

第一个agent负责收集文件当中的数据，通过网络发送到第二个agent当中去

第二个agent负责接收第一个agent发送的数据，并将数据保存到hdfs上面去

 Node02 安装 Flume

将node03机器上面解压后的flume文件夹拷贝到node02机器上面去

cd /export/servers
scp -r apache-flume-1.8.0-bin/ node02:$PWD

 Node02 配置 Flume

在node02机器配置我们的flume

cd /export/servers/ apache-flume-1.8.0-bin/conf
vim tail-avro-avro-logger.conf

##################
# 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 /export/servers/taillogs/access_log
a1.sources.r1.channels = c1
# Describe the sink
##sink端的avro是一个数据发送者
a1.sinks = k1
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = 192.168.174.120
a1.sinks.k1.port = 4141
a1.sinks.k1.batch-size = 10
# 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

开发脚本向文件中写入数据

直接将node03下面的脚本和数据拷贝到node02即可，node03机器上执行以下命令

cd /export/servers
scp -r shells/ taillogs/ node02:$PWD

Node03 Flume 配置文件

在node03机器上开发flume的配置文件

cd /export/servers/apache-flume-1.8.0-bin/conf
vim 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组件是一个接收者服务
a1.sources.r1.type = avro
a1.sources.r1.channels = c1
a1.sources.r1.bind = 192.168.174.120
a1.sources.r1.port = 4141
# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = hdfs://node01:8020/av /%y-%m-%d/%H%M/
a1.sinks.k1.hdfs.filePrefix = eventsa1.
sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = minute
a1.sinks.k1.hdfs.rollInterval = 3
a1.sinks.k1.hdfs.rollSize = 20
a1.sinks.k1.hdfs.rollCount = 5
a1.sinks.k1.hdfs.batchSize = 1
a1.sinks.k1.hdfs.useLocalTimeStamp = true
#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

顺序启动

node03机器启动flume进程

cd /export/servers/apache-flume-1.8.0-bin
bin/flume-ng agent -c conf -f conf/avro-hdfs.conf -n a1 -Dflume.root.logger=INFO,conso

node02机器启动flume进程

cd /export/servers/apache-flume-1.8.0-bin/
bin/flume-ng agent -c conf -f conf/tail-avro-avro-logger.conf -n a1 -Dflume.root.logge

node02机器启shell脚本生成文件

cd /export/servers/shells
sh tail-file.sh