Flume N对N设置

2022年3月2日20:26:04 发表评论 714 views

目标:使用flume1监控文件变动,flume1将变动内容传递给flume-2,flume-2负责存储到HDFS。同时flume1将变动内容传递给flume-3,flume-3负责输出到local

分步实现:

1) 创建flume1.conf,用于监控某文件的变动,同时产生两个channel和两个sink分别输送给flume2和flume3:

#  将文件监控到两个sink中,并传递给两个source
# 1.agent
a1.sources = r1
a1.sinks = k1 k2
a1.channels = c1 c2
# 将数据流复制给多个channel
a1.sources.r1.selector.type = replicating

# 2.source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /opt/Shalltest
a1.sources.r1.shell = /bin/bash -c

# 3.sink1
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = bigdata166
a1.sinks.k1.port = 4141

# sink2
a1.sinks.k2.type = avro
a1.sinks.k2.hostname = bigdata166
a1.sinks.k2.port = 4142

# 4.channel—1
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# 4.channel—2
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

 

2) 创建flume2.conf,用于接收flume1的event,同时产生1个channel和1个sink,将数据输送给hdfs:

# 将文件从sink中接收,并写入hdfs,并添加前缀等
# 1 agent
a2.sources = r1
a2.sinks = k1
a2.channels = c1

# 2 source
a2.sources.r1.type = avro
a2.sources.r1.bind = bigdata166
a2.sources.r1.port = 4141

# 3 sink
a2.sinks.k1.type = hdfs
a2.sinks.k1.hdfs.path = hdfs://bigdata166:9000/flume2/%H
#上传文件的前缀
a2.sinks.k1.hdfs.filePrefix = flume2-
#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 = 600
#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
#最小副本数
a2.sinks.k1.hdfs.minBlockReplicas = 1


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

#5 Bind 
a2.sources.r1.channels = c1
a2.sinks.k1.channel = c1

 

3) 创建flume3.conf,用于接收flume1的event,同时产生1个channel和1个sink,将数据输送给本地目录:

#1 agent
a3.sources = r1
a3.sinks = k1
a3.channels = c1

# 2 source
a3.sources.r1.type = avro
a3.sources.r1.bind = bigdata111
a3.sources.r1.port = 4142

#3 sink
a3.sinks.k1.type = file_roll
#备注:此处的文件夹需要先创建好
a3.sinks.k1.sink.directory = /opt/flume3

# 4 channel
a3.channels.c1.type = memory
a3.channels.c1.capacity = 1000
a3.channels.c1.transactionCapacity = 100

# 5 Bind
a3.sources.r1.channels = c1
a3.sinks.k1.channel = c1

 

4) 执行测试:分别开启对应flume-job(依次启动flume1,flume-2,flume-3),同时产生文件变动并观察结果:

$ bin/flume-ng agent --conf conf/ --name a1 --conf-file jobconf/flume1.conf
$ bin/flume-ng agent --conf conf/ --name a2 --conf-file jobconf/flume2.conf
$ bin/flume-ng agent --conf conf/ --name a3 --conf-file jobconf/flume3.conf
/bash]

 有坑:

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。

输入文件好像是区分大小写的(还没测试验证)

输入文件前面一部分没有采集到。

文件更新后,要等几秒才能看到flume输出文件夹和和hadoop中的内容更新(时间略长得找原因)

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