Flume

1-flume的概述和运行机制

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2-flume案例-网络数据采集-Flume安装

 

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3-flume案例-网络数据采集-Flume的配置

netcat-logger.conf

 

# 定义这个agent中各组件的名字

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# 描述和配置source组件：r1

a1.sources.r1.type = netcat

a1.sources.r1.bind = 192.168.174.

a1.sources.r1.port = 44444

# 描述和配置sink组件：k1

a1.sinks.k1.type = logger

# 描述和配置channel组件，此处使用是内存缓存的方式

a1.channels.c1.type = memory

a1.channels.c1.capacity = 1000

a1.channels.c1.transactionCapacity = 100

# 描述和配置source channel sink之间的连接关系

a1.sources.r1.channels = c1

a1.sinks.k1.channel = c1 

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 此时,正在监听这个主机的这个端口有没有信息过来.

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 5-flume案例-目录数据采集-实现流程

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6-flume案例-目录数据采集-配置文件编写

 

vim spooldir.conf

 

# Name the components on this agent

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# Describe/configure the source

##注意：不能往监控目中重复丢同名文件

a1.sources.r1.type = spooldir

a1.sources.r1.spoolDir = /export/servers/dirfile

a1.sources.r1.fileHeader = true

# Describe the sink

a1.sinks.k1.type = hdfs

a1.sinks.k1.channel = c1

a1.sinks.k1.hdfs.path = hdfs://node01:8020/spooldir/files/%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

#生成的文件类型，默认是Sequencefile，可用DataStream，则为普通文本

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 

 

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7-flume案例-目录数据采集-运行测试

主目录执行命令:  bin/flume-ng agent -c ./conf -f ./conf/spooldir.conf -n a1 -Dflume.root.logger=INFO,console

 

 

 

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8-flume案例-文件数据采集-步骤分析

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9-flume案例-文件数据采集-运行测试

(1).定义Flume配置文件

vim tail-file.conf

 

agent1.sources = source1

agent1.sinks = sink1

agent1.channels = channel1

# Describe/configure tail -F source1

agent1.sources.source1.type = exec

agent1.sources.source1.command = tail -F /export/servers/taillogs/access_log

agent1.sources.source1.channels = channel1

# Describe sink1

agent1.sinks.sink1.type = hdfs

#a1.sinks.k1.channel = c1

agent1.sinks.sink1.hdfs.path = hdfs://node01:8020/weblog/flume-collection/%y-%m-%d/%H-%M

agent1.sinks.sink1.hdfs.filePrefix = access_log

agent1.sinks.sink1.hdfs.maxOpenFiles = 5000

agent1.sinks.sink1.hdfs.batchSize= 100

agent1.sinks.sink1.hdfs.fileType = DataStream

agent1.sinks.sink1.hdfs.writeFormat =Text

agent1.sinks.sink1.hdfs.round = true

agent1.sinks.sink1.hdfs.roundValue = 10

agent1.sinks.sink1.hdfs.roundUnit = minute

agent1.sinks.sink1.hdfs.useLocalTimeStamp = true

# Use a channel which buffers events in memory

agent1.channels.channel1.type = memory

agent1.channels.channel1.keep-alive = 120

agent1.channels.channel1.capacity = 500000

agent1.channels.channel1.transactionCapacity = 600

# Bind the source and sink to the channel

agent1.sources.source1.channels = channel1

agent1.sinks.sink1.channel = channel1

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 (2)Step 2: 启动 Flume

cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin

bin/flume-ng agent -c conf -f conf/tail-file.conf -n agent1 -Dflume.root.logger=INFO,console

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(3)

vim tail-file.sh

 

#!/bin/bash

while true

do

date >> /export/servers/taillogs/access_log;

sleep 0.5;

done 

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(4).启动脚本

 

 

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10-flume案例-flume级联-组件分析

 

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11-flume案例-flume级联-配置文件编写

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vim tail-avro-avro-logger.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 /export/servers/taillogs/access_log

a1.sources.r1.channels = c1

# Describe the sink

##sink端的avro是一个数据发送者

a1.sinks = k1

a1.sinks.k1.type = avro

a1.sinks.k1.channel = c1

a1.sinks.k1.hostname = 192.168.187.130

a1.sinks.k1.port = 4141

a1.sinks.k1.batch-size = 10

# 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

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(4)

vim avro-hdfs.conf

 

# Name the components on this agent

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# Describe/configure the source

##source中的avro组件是一个接收者服务

a1.sources.r1.type = avro

a1.sources.r1.channels = c1

a1.sources.r1.bind = 192.168.187.130

a1.sources.r1.port = 4141

# Describe the sink

a1.sinks.k1.type = hdfs

a1.sinks.k1.hdfs.path = hdfs://node01:8020/avro/hdfs/%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

#生成的文件类型，默认是Sequencefile，可用DataStream，则为普通文本

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 

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(1)node03机器启动flflume进程

 

cd /export/servers/apache-flume-1.8.0-bin

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

 

(2)node02机器启动flflume进程

 

cd /export/servers/apache-flume-1.8.0-bin/

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

 

(3)node02机器启shell脚本生成文件

cd /export/servers/shells

sh tail-file.sh

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