[大数据]Flume----企业开发案例之复制

Flume企业级开发案例

复制

使用agent1监控文件变动agent1 将变动内容传递给agent2，agent2负责存储到HDFS，同时agent1将变内容传递给agent3
，agent3负责输出到LocalFileSystem

1. 首先配置三个agent.conf 对SCK进行分配

agent1.conf

# Name the components on this agent
a1.sources = r1
a1.sinks = k1 k2
a1.channels = c1 c2

# 将数据流复制给所有 channel
a1.sources.r1.selector.type = replicating

# source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /root/test.log

# sink
# sink 端的 avro 是一个数据发送者
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = b02master
a1.sinks.k1.port = 520
a1.sinks.k2.type = avro
a1.sinks.k2.hostname = b02master
a1.sinks.k2.port = 521

# channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1 c2
a1.sinks.k1.channel = c1
a1.sinks.k2.channel = c2

agent2.conf

# Name the components on this agent
a2.sources = r1
a2.sinks = k1
a2.channels = c1

# source 端的 avro 是一个数据接收服务
a2.sources.r1.type = avro
a2.sources.r1.bind = b02master
a2.sources.r1.port = 520

# Describe the sink
a2.sinks.k1.type = hdfs
a2.sinks.k1.hdfs.path = hdfs://b02master:9000/flume/%Y%m%d/%H
#上传文件的前缀
a2.sinks.k1.hdfs.filePrefix = agent2- 
#是否按照时间滚动文件夹
a2.sinks.k1.hdfs.round = true
#多少时间单位创建一个新的文件夹
a2.sinks.k1.hdfs.roundValue = 1
#重新定义时间单位
a2.sinks.k1.hdfs.roundUnit = hour
#是否使用本地时间戳
a2.sinks.k1.hdfs.useLocalTimeStamp = true
#积攒多少个 Event 才 flush 到 HDFS 一次
a2.sinks.k1.hdfs.batchSize = 100
#设置文件类型，可支持压缩
a2.sinks.k1.hdfs.fileType = DataStream
#多久生成一个新的文件
a2.sinks.k1.hdfs.rollInterval = 30
#设置每个文件的滚动大小大概是 128M
a2.sinks.k1.hdfs.rollSize = 134217700
#文件的滚动与 Event 数量无关
a2.sinks.k1.hdfs.rollCount = 0

# Describe the channel
a2.channels.c1.type = memory
a2.channels.c1.capacity = 1000
a2.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a2.sources.r1.channels = c1
a2.sinks.k1.channel = c1

agent3.conf

# Name the components on this agent
a3.sources = r1
a3.sinks = k1
a3.channels = c2

# Describe/configure the source
a3.sources.r1.type = avro
a3.sources.r1.bind = b02master
a3.sources.r1.port = 521

# Describe the sink
a3.sinks.k1.type = file_roll
a3.sinks.k1.sink.directory = /root/agent3

# Describe the channel
a3.channels.c2.type = memory
a3.channels.c2.capacity = 1000
a3.channels.c2.transactionCapacity = 100

# Bind the source and sink to the channel
a3.sources.r1.channels = c2
a3.sinks.k1.channel = c2

这里的AvroSource被当作了服务端，所有应该先开启agent2和agent3
注意：输出的本地目录必须是已经存在的目录，如果该目录不存在，并不会创建新的目录

启动命令

bin/flume-ng agent -c conf -f conf/group1/agent1.conf -n a1 -Dflume.root.logger=INFO,console
bin/flume-ng agent -c conf -f conf/group1/agent2.conf -n a2 -Dflume.root.logger=INFO,console
bin/flume-ng agent -c conf -f conf/group1/agent3.conf -n a3 -Dflume.root.logger=INFO,console

在test.log 中追加数据 在group中和HDFS中分别去查看是否有对应的数据生成