然后進(jìn)入flume的目錄，修改conf下的flume-env.sh，在里面配置JAVA_HOME

export JAVA_HOME=/opt/jdk1.8.0_121

2、根據(jù)數(shù)據(jù)采集的需求配置采集方案，描述在配置文件中(文件名可任意自定義)

3、指定采集方案配置文件，在相應(yīng)的節(jié)點(diǎn)上啟動(dòng)flume agent

先用一個(gè)最簡單的例子來測試一下程序環(huán)境是否正常

1、先在flume的conf目錄下新建一個(gè)文件

vi   netcat-logger.conf

# 定義這個(gè)agent中各組件的名字

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# 描述和配置source組件：r1

a1.sources.r1.type = netcat

a1.sources.r1.bind = localhost

a1.sources.r1.port = 44444

# 描述和配置sink組件：k1

a1.sinks.k1.type = logger

# 描述和配置channel組件，此處使用是內(nèi)存緩存的方式

a1.channels.c1.type = memory

a1.channels.c1.capacity = 1000

a1.channels.c1.transactionCapacity = 100

# 描述和配置source  channel   sink之間的連接關(guān)系

a1.sources.r1.channels = c1

a1.sinks.k1.channel = c1

?bin/flume-ng agent -c conf -f conf/netcat-logger.conf -n a1  -Dflume.root.logger=INFO,console

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c conf   指定flume自身的配置文件所在目錄

-f conf/netcat-logger.con  指定我們所描述的采集方案

-n a1  指定我們這個(gè)agent的名字

1、測試

先要往agent采集監(jiān)聽的端口上發(fā)送數(shù)據(jù)，讓agent有數(shù)據(jù)可采

隨便在一個(gè)能跟agent節(jié)點(diǎn)聯(lián)網(wǎng)的機(jī)器上

telnet anget-hostname  port   （telnet localhost 44444）

如果telnet命令找不到，則用以下方式安裝

[root@hdp08 ~]# yum install telnet

1.2.2 采集案例

1、采集指定目錄下的日志文件

# Name the components on this agent

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# Describe/configure the source

#監(jiān)聽目錄,spoolDir指定目錄, fileHeader要不要給文件夾前墜名

a1.sources.r1.type = spooldir

a1.sources.r1.spoolDir = /home/hadoop/flumespool

a1.sources.r1.fileHeader = true

# 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

啟動(dòng)命令：  

bin/flume-ng agent -c ./conf -f ./conf/spool-logger.conf -n a1 -Dflume.root.logger=INFO,console

2、采集目錄到HDFS采集需求：某服務(wù)器的某特定目錄下，會(huì)不斷產(chǎn)生新的文件，每當(dāng)有新文件出現(xiàn)，就需要把文件采集到HDFS中去

根據(jù)需求，首先定義以下3大要素

l 采集源，即source——監(jiān)控文件目錄 :  spooldir

l 下沉目標(biāo)，即sink——HDFS文件系統(tǒng)  :  hdfs sink

l source和sink之間的傳遞通道——channel，可用file channel 也可以用內(nèi)存channel

配置文件編寫：

# Name the components on this agent

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# Describe/configure the source

#監(jiān)聽目錄,spoolDir指定目錄, fileHeader要不要給文件夾前墜名

a1.sources.r1.type = spooldir

a1.sources.r1.spoolDir = /home/hadoop/flumespool

a1.sources.r1.fileHeader = true

# Describe the sink

a1.sinks.k1.type = hdfs

a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/

a1.sinks.k1.hdfs.filePrefix = events-

a1.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

#生成的文件類型，默認(rèn)是Sequencefile，可用DataStream，則為普通文本

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

Channel參數(shù)解釋：

capacity：默認(rèn)該通道中較大的可以存儲的event數(shù)量

trasactionCapacity：每次較大可以從source中拿到或者送到sink中的event數(shù)量

keep-alive：event添加到通道中或者移出的允許時(shí)間

3、采集文件到HDFS采集需求：比如業(yè)務(wù)系統(tǒng)使用log4j生成的日志，日志內(nèi)容不斷增加，需要把追加到日志文件中的數(shù)據(jù)實(shí)時(shí)采集到hdfs

根據(jù)需求，首先定義以下3大要素

l 采集源，即source——監(jiān)控文件內(nèi)容更新 :  exec  ‘tail -F file’

l 下沉目標(biāo)，即sink——HDFS文件系統(tǒng)  :  hdfs sink

l Source和sink之間的傳遞通道——channel，可用file channel 也可以用 內(nèi)存channel

配置文件編寫：

# 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/log/test.log

a1.sources.r1.channels = c1

# Describe the sink

a1.sinks.k1.type = hdfs

a1.sinks.k1.channel = c1

a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/

a1.sinks.k1.hdfs.filePrefix = events-

a1.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

#生成的文件類型，默認(rèn)是Sequencefile，可用DataStream，則為普通文本

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

啟動(dòng)命令：

bin/flume-ng agent -c conf -f conf/tail-hdfs.conf -n a1 -Dflume.root.logger=INFO,console

4、采集文件發(fā)到另一個(gè)agent

?

從tail命令獲取數(shù)據(jù)發(fā)送到avro端口

另一個(gè)節(jié)點(diǎn)可配置一個(gè)avro源來中繼數(shù)據(jù)，發(fā)送外部存儲

##################

# Name the components on this agent

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# Describe/configure the source

a1.sources.r1.type = spooldir

a1.sources.r1.spoolDir = /home/hadoop/flumespool

a1.sources.r1.fileHeader = true

# Describe the sink

a1.sinks = k1

a1.sinks.k1.type = avro

a1.sinks.k1.channel = c1

a1.sinks.k1.hostname = hdp09

a1.sinks.k1.port = 4141

a1.sinks.k1.batch-size = 2

# 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

從avro端口接收數(shù)據(jù)，下沉到logger

采集配置文件，avro-hdfs.conf

# Name the components on this agent

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# Describe/configure the source

a1.sources.r1.type = avro

a1.sources.r1.channels = c1

a1.sources.r1.bind = 0.0.0.0

a1.sources.r1.port = 4141

# 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

發(fā)送數(shù)據(jù)：

$ bin/flume-ng avro-client -H localhost -p 4141 -F /usr/logs/log.10

1.3 更多source和sink組件

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Flume支持眾多的source和sink類型，詳細(xì)手冊可參考官方文檔

http://flume.apache.org/FlumeUserGuide.html?