flume系列(一)部署示例及组件介绍

1.flume定义

        Flume 是 Cloudera 提供的一个高可用的，高可靠的，分布式的海量日志采集、聚合和传输的系统。Flume 基于流式架构，灵活简单

2. flume架构组件

2.1 flume-source

2.2 flume-channel

2.3 flume-sink

2.4 Event

3. flume示例

3.1官方demo

#添加内容如下：  
# 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 
# 事务的容量transactionCapacity
# 事件可以保存的数量capacity
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
 
# Bind the source and sink to the channel 
# source和channels绑定
# sinks和channel绑定
# 一个source可以对应多个channel，一个channel可以对应多个sink
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

3.2 flume读取文件到hdfs

./bin/flume-ng agent -n a2 -c conf/ -f configs/flume-file-hdfs.conf -Dflume.root.logger=INFO,console

a2.sources = r2
a2.sinks = k2
a2.channels = c2
 
# Describe/configure the source 
a2.sources.r2.type = exec
a2.sources.r2.command = tail -F /demo.log
 
# Describe the sink 
a2.sinks.k2.type = hdfs
a2.sinks.k2.hdfs.path = hdfs://hadoop11:8020/flume/%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 = 100
#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 = 60
#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
 
# 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

3.2 flume监测文件目录把文件传到hdfs

 目录中：

1. 不能放入同名的文件（linux系统不能存在相同的文件 ）
2. 不能放入指定结尾的文件(不能上传对应的文件)
3. 放入指定的忽略 的文件是无法上传的
4. 文件动态修改后，是无法识别到的，再次修改后无法上传

./bin/flume-ng agent -n a3 -c conf/ -f configs/flume-dir-hdfs.conf -Dflume.root.logger=INFO,console

a3.sources = r3
a3.sinks = k3
a3.channels = c3
 
# Describe/configure the source
a3.sources.r3.type = spooldir
a3.sources.r3.spoolDir = /opt/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://hadoop11:8020/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 = 60
#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
 
# 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

3.3 监控目录下的多个追加文件(重要)

flume-1.7版本后：Taildir Source支持断点续传，适用于多个实时追加的文件

a3.sources = r3
a3.sinks = k3
a3.channels = c3
 
# Describe/configure the source
a3.sources.r3.type = TAILDIR
a3.sources.r3.positionFile = /opt/module/flume-1.9.0/tail_dir.json
a3.sources.r3.filegroups = f1 f2
a3.sources.r3.filegroups.f1 = /opt/module/flume-1.9.0/upload2/files1/.*file.*
a3.sources.r3.filegroups.f2 = /opt/module/flume-1.9.0/upload2/files2/.*log.*
 
# Describe the sink
a3.sinks.k3.type = hdfs
a3.sinks.k3.hdfs.path = hdfs://hadoop11:8020/flume/upload2/%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 = 60
#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
 
# 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