一、监听端口将结果输出到console
- 编写配置文件job_flume_netcat.conf
# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444
# 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
- 启动flume进程
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a1 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/job_flume_netcat.conf -Dflume.root.logger==INFO,console
- 查看指定端口是否被flume监听
sudo netstat -tunlp | grep 44444
- 用telnet发送数据
telnet localhost 44444
二、动态读取日志文件并写入到hdfs
- 编写配置文件job_flume_2hdfs.conf
# Name the components on this agent
a2.sources = r2
a2.sinks = k2
a2.channels = c2
# Describe/configure the source
a2.sources.r2.type = exec
a2.sources.r2.command = tail -F /home/hadoop/app/hive-1.2.2/logs/hive.log
a2.sources.r2.shell = /bin/bash -c
# Describe the sink
a2.sinks.k2.type = hdfs
a2.sinks.k2.hdfs.path = hdfs://hadoop01:9000/flume/hive-logs/%Y%m%d/%H
#上传文件的前缀
a2.sinks.k2.hdfs.filePrefix = logs-
#是否按照时间滚动文件夹
a2.sinks.k2.hdfs.round = true
#多少时间单位创建一个新的文件夹
a2.sinks.k2.hdfs.roundValue = 1
#重新定义时间单位
a2.sinks.k2.hdfs.roundUnit = hour
#是否使用本地时间戳
a2.sinks.k2.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS 一次
a2.sinks.k2.hdfs.batchSize = 1000
#设置文件类型，可支持压缩
a2.sinks.k2.hdfs.fileType = DataStream
#多久生成一个新的文件
a2.sinks.k2.hdfs.rollInterval = 600
#设置每个文件的滚动大小
a2.sinks.k2.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a2.sinks.k2.hdfs.rollCount = 0
#最小冗余数
a2.sinks.k2.hdfs.minBlockReplicas = 1
# Use a channel which buffers events in memory
a2.channels.c2.type = memory
a2.channels.c2.capacity = 1000
a2.channels.c2.transactionCapacity = 100
# Bind the source and sink to the channel
a2.sources.r2.channels = c2
a2.sinks.k2.channel = c2
- 启动flume进程
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a2 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/job_flume_2hdfs.conf
三、实时读取目录文件到HDFS
- 编写配置文件flume-dir.conf
a3.sources = r3
a3.sinks = k3
a3.channels = c3
# Describe/configure the source
a3.sources.r3.type = spooldir
a3.sources.r3.spoolDir = /home/hadoop/app/apache-flume-1.7.0/upload
a3.sources.r3.fileSuffix = .COMPLETED
a3.sources.r3.fileHeader = true
#忽略所有以.tmp 结尾的文件，不上传
a3.sources.r3.ignorePattern = ([^ ]*\.tmp)
# Describe the sink
a3.sinks.k3.type = hdfs
a3.sinks.k3.hdfs.path = hdfs://hadoop01:9000/flume/upload/%Y%m%d/%H
#上传文件的前缀
a3.sinks.k3.hdfs.filePrefix = upload-
#是否按照时间滚动文件夹
a3.sinks.k3.hdfs.round = true
#多少时间单位创建一个新的文件夹
a3.sinks.k3.hdfs.roundValue = 1
#重新定义时间单位
a3.sinks.k3.hdfs.roundUnit = hour
#是否使用本地时间戳
a3.sinks.k3.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS一次
a3.sinks.k3.hdfs.batchSize = 100
#设置文件类型，可支持压缩
a3.sinks.k3.hdfs.fileType = DataStream
#多久生成一个新的文件
a3.sinks.k3.hdfs.rollInterval = 600
#设置每个文件的滚动大小大概是128M
a3.sinks.k3.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a3.sinks.k3.hdfs.rollCount = 0
#最小冗余数
a3.sinks.k3.hdfs.minBlockReplicas = 1
# Use a channel which buffers events in memory
a3.channels.c3.type = memory
a3.channels.c3.capacity = 1000
a3.channels.c3.transactionCapacity = 100
# Bind the source and sink to the channel
a3.sources.r3.channels = c3
a3.sinks.k3.channel = c3
- 启动flume进程
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a3 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-dir.conf
四、Flume与Flume之间数据传递:单Flume多Channel、 Sink
-
编写配置文件
- flume-1.conf
# Name the components on this agent a1.sources = r1 a1.sinks = k1 k2 a1.channels = c1 c2 # 将数据流复制给多个 channel a1.sources.r1.selector.type = replicating # Describe/configure the source a1.sources.r1.type = exec a1.sources.r1.command = tail -F /home/hadoop/app/hive-1.2.2/logs/hive.log a1.sources.r1.shell = /bin/bash -c # Describe the sink a1.sinks.k1.type = avro a1.sinks.k1.hostname = hadoop01 a1.sinks.k1.port = 4141 a1.sinks.k2.type = avro a1.sinks.k2.hostname = hadoop01 a1.sinks.k2.port = 4142 # Describe the 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- flume-2.conf
# Name the components on this agent a2.sources = r1 a2.sinks = k1 a2.channels = c1 # Describe/configure the source a2.sources.r1.type = avro a2.sources.r1.bind = hadoop01 a2.sources.r1.port = 4141 # Describe the sink a2.sinks.k1.type = hdfs a2.sinks.k1.hdfs.path = hdfs://hadoop01:9000/flume2/%Y%m%d/%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 #最小冗余数 a2.sinks.k1.hdfs.minBlockReplicas = 1 # 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- flume-3.conf
# Name the components on this agent a3.sources = r1 a3.sinks = k1 a3.channels = c1 # Describe/configure the source a3.sources.r1.type = avro a3.sources.r1.bind = hadoop01 a3.sources.r1.port = 4142 # Describe the sink 文件夹必须存在 a3.sinks.k1.type = file_roll a3.sinks.k1.sink.directory = /home/hadoop/flume2 # Describe the channel a3.channels.c1.type = memory a3.channels.c1.capacity = 1000 a3.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a3.sources.r1.channels = c1 a3.sinks.k1.channel = c1 启动flume进程
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a1 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-1.conf
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a2 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-2.conf
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a3 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-3.conf
五、Flume与Flume之间数据传递，多Flume汇总数据到单Flume
-
编写配置文件
- flume-a.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 /home/hadoop/app/hive-1.2.2/logs/hive.log a1.sources.r1.shell = /bin/bash -c # Describe the sink a1.sinks.k1.type = avro a1.sinks.k1.hostname = hadoop01 a1.sinks.k1.port = 4141 # Describe the channel 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- flume-b.conf
# Name the components on this agent a2.sources = r1 a2.sinks = k1 a2.channels = c1 # Describe/configure the source a2.sources.r1.type = netcat a2.sources.r1.bind = hadoop01 a2.sources.r1.port = 44444 # Describe the sink a2.sinks.k1.type = avro a2.sinks.k1.hostname = hadoop01 a2.sinks.k1.port = 4141 # Use a channel which buffers events in memory 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- flume-c.conf
# Name the components on this agent a3.sources = r1 a3.sinks = k1 a3.channels = c1 # Describe/configure the source a3.sources.r1.type = avro a3.sources.r1.bind = hadoop01 a3.sources.r1.port = 4141 # Describe the sink a3.sinks.k1.type = hdfs a3.sinks.k1.hdfs.path = hdfs://hadoop01:9000/flume3/%Y%m%d/%H #上传文件的前缀 a3.sinks.k1.hdfs.filePrefix = flume3- #是否按照时间滚动文件夹 a3.sinks.k1.hdfs.round = true #多少时间单位创建一个新的文件夹 a3.sinks.k1.hdfs.roundValue = 1 #重新定义时间单位 a3.sinks.k1.hdfs.roundUnit = hour #是否使用本地时间戳 a3.sinks.k1.hdfs.useLocalTimeStamp = true #积攒多少个 Event 才 flush 到 HDFS 一次 a3.sinks.k1.hdfs.batchSize = 100 #设置文件类型，可支持压缩 a3.sinks.k1.hdfs.fileType = DataStream #多久生成一个新的文件 a3.sinks.k1.hdfs.rollInterval = 600 #设置每个文件的滚动大小大概是 128M a3.sinks.k1.hdfs.rollSize = 134217700 #文件的滚动与 Event 数量无关 a3.sinks.k1.hdfs.rollCount = 0 #最小冗余数 a3.sinks.k1.hdfs.minBlockReplicas = 1 # Describe the channel a3.channels.c1.type = memory a3.channels.c1.capacity = 1000 a3.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a3.sources.r1.channels = c1 a3.sinks.k1.channel = c1 启动flume进程
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a1 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-a.conf
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a2 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-b.conf
flume-ng agent --conf /home/hadoop/app/apache-flume-1.7.0/conf/ --name a3 --conf-file /home/hadoop/app/apache-flume-1.7.0/job/flume-c.conf
- 用telnet发送数据
telnet localhost 44444