Flume2-高可用+拦截器

13-flume高可用-failover-模型分析(搭建一个Flume集群,当一个Flume挂掉之后,其他flume迅速补上)

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14-flume高可用-failover-配置文件编写

vim agent.conf

#agent1 name

agent1.channels = c1

agent1.sources = r1

agent1.sinks = k1 k2

##set gruop

agent1.sinkgroups = g1

agent1.sources.r1.channels = c1

agent1.sources.r1.type = exec

agent1.sources.r1.command = tail -F /export/servers/taillogs/access_log

##set channel

agent1.channels.c1.type = memory

agent1.channels.c1.capacity = 1000

agent1.channels.c1.transactionCapacity = 100

## set sink1

agent1.sinks.k1.channel = c1

agent1.sinks.k1.type = avro

agent1.sinks.k1.hostname = node02

agent1.sinks.k1.port = 52020

## set sink2

agent1.sinks.k2.channel = c1

agent1.sinks.k2.type = avro

agent1.sinks.k2.hostname = node03

agent1.sinks.k2.port = 52020

##set sink group

agent1.sinkgroups.g1.sinks = k1 k2

##set failover

agent1.sinkgroups.g1.processor.type = failover

agent1.sinkgroups.g1.processor.priority.k1 = 10

agent1.sinkgroups.g1.processor.priority.k2 = 1

agent1.sinkgroups.g1.processor.maxpenalty = 10000

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

vim collector.conf

#set Agent name

a1.sources = r1

a1.channels = c1

a1.sinks = k1

##set channel

a1.channels.c1.type = memory

a1.channels.c1.capacity = 1000

a1.channels.c1.transactionCapacity = 100

## other node,nna to nns

a1.sources.r1.type = avro

a1.sources.r1.bind = node02

a1.sources.r1.port = 52020

a1.sources.r1.channels = c1

##set sink to hdfs

a1.sinks.k1.type=hdfs

a1.sinks.k1.hdfs.path= hdfs://node01:8020/flume/failover/

a1.sinks.k1.hdfs.fileType=DataStream

a1.sinks.k1.hdfs.writeFormat=TEXT

a1.sinks.k1.hdfs.rollInterval=10

a1.sinks.k1.channel=c1

a1.sinks.k1.hdfs.filePrefix=%Y-%m-%d

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

vim collector.conf

#set Agent name

a1.sources = r1

a1.channels = c1

a1.sinks = k1

##set channel

a1.channels.c1.type = memory

a1.channels.c1.capacity = 1000

a1.channels.c1.transactionCapacity = 100

## other node,nna to nns

a1.sources.r1.type = avro

a1.sources.r1.bind = node03

a1.sources.r1.port = 52020

a1.sources.r1.channels = c1

##set sink to hdfs

a1.sinks.k1.type=hdfs

a1.sinks.k1.hdfs.path= hdfs://node01:8020/flume/failover/

a1.sinks.k1.hdfs.fileType=DataStream

a1.sinks.k1.hdfs.writeFormat=TEXT

a1.sinks.k1.hdfs.rollInterval=10

a1.sinks.k1.channel=c1

a1.sinks.k1.hdfs.filePrefix=%Y-%m-%d

==================================================================================================================================================

15-flume高可用-failover-测试运行

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

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

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

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

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

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

cd /export/servers/shells

sh tail-file.sh

==========================================================================================================================================

16-flume高可用-balance-配置文件编写

vim load_banlancer_client.conf

# agent name

a1.channels = c1

a1.sources = r1

a1.sinks = k1 k2

# set gruop

a1.sinkgroups = g1

# set channel

a1.channels.c1.type = memory

a1.channels.c1.capacity = 1000

a1.channels.c1.transactionCapacity = 100

a1.sources.r1.channels = c1

a1.sources.r1.type = exec

a1.sources.r1.command = tail -F /export/servers/taillogs/access_log

# set sink1

a1.sinks.k1.channel = c1

a1.sinks.k1.type = avro

a1.sinks.k1.hostname = node02

a1.sinks.k1.port = 52020

# set sink2

a1.sinks.k2.channel = c1

a1.sinks.k2.type = avroa1.sinks.k2.hostname = node03

a1.sinks.k2.port = 52020

# set sink group

a1.sinkgroups.g1.sinks = k1 k2

# set failover

a1.sinkgroups.g1.processor.type = load_balance

a1.sinkgroups.g1.processor.backoff = true

a1.sinkgroups.g1.processor.selector = round_robin

a1.sinkgroups.g1.processor.selector.maxTimeOut=10000

轮询:node02接收一条,node03接收一条,然后,node02再接收一条,node03再接收一条,node02和node03轮流接收

vim load_banlancer_server.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 = node02

a1.sources.r1.port = 52020

# 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

------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

vim load_banlancer_server.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 = node03

a1.sources.r1.port = 52020

# 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

==================================================================================================================================

17-flume高可用-balance-测试运行

启动node03的flflume服务

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

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

启动node02的flflume服务

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

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

启动node01的flflume服务

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

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

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=============================================================================================================================================

18-flume拦截器-模型分析

vim exec_source_avro_sink.conf

# Name the components on this agent

a1.sources = r1 r2 r3

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.interceptors = i1

a1.sources.r1.interceptors.i1.type = static

## static拦截器的功能就是往采集到的数据的header中插入自己定## 义的key-value对

a1.sources.r1.interceptors.i1.key = type

a1.sources.r1.interceptors.i1.value = access

a1.sources.r2.type = exec

a1.sources.r2.command = tail -F /export/servers/taillogs/nginx.log

a1.sources.r2.interceptors = i2

a1.sources.r2.interceptors.i2.type = static

a1.sources.r2.interceptors.i2.key = type

a1.sources.r2.interceptors.i2.value = nginx

a1.sources.r3.type = exec

a1.sources.r3.command = tail -F /export/servers/taillogs/web.log

a1.sources.r3.interceptors = i3

a1.sources.r3.interceptors.i3.type = static

a1.sources.r3.interceptors.i3.key = type

a1.sources.r3.interceptors.i3.value = web

# Describe the sink

a1.sinks.k1.type = avro

a1.sinks.k1.hostname = node03

a1.sinks.k1.port = 41414

# Use a channel which buffers events in memory

a1.channels.c1.type = memory

a1.channels.c1.capacity = 20000

a1.channels.c1.transactionCapacity = 10000

# Bind the source and sink to the channel

a1.sources.r1.channels = c1

a1.sources.r2.channels = c1

a1.sources.r3.channels = c1

a1.sinks.k1.channel = c1

vim avro_source_hdfs_sink.conf

a1.sources = r1

a1.sinks = k1

a1.channels = c1

# 定义source

a1.sources.r1.type = avro

a1.sources.r1.bind = node03

a1.sources.r1.port =41414

# 添加时间拦截器

a1.sources.r1.interceptors = i1

a1.sources.r1.interceptors.i1.type = org.apache.flume.interceptor.TimestampInterceptor$Builder

# 定义channels

a1.channels.c1.type = memory

a1.channels.c1.capacity = 20000

a1.channels.c1.transactionCapacity = 10000

# 定义sink

a1.sinks.k1.type = hdfs

a1.sinks.k1.hdfs.path=hdfs://node01:8020/source/logs/%{type}/%Y%m%d

a1.sinks.k1.hdfs.filePrefix =events

a1.sinks.k1.hdfs.fileType = DataStream

a1.sinks.k1.hdfs.writeFormat = Text

# 时间类型

a1.sinks.k1.hdfs.useLocalTimeStamp = true

# 生成的文件不按条数生成

a1.sinks.k1.hdfs.rollCount = 0

# 生成的文件按时间生成

a1.sinks.k1.hdfs.rollInterval = 30

# 生成的文件按大小生成

a1.sinks.k1.hdfs.rollSize = 10485760

# 批量写入hdfs的个数

a1.sinks.k1.hdfs.batchSize = 10000

# flume操作hdfs的线程数（包括新建，写入等）

a1.sinks.k1.hdfs.threadsPoolSize=10

# 操作hdfs超时时间<p class="mume-header " id="操作hdfs超时时间"></p>

a1.sinks.k1.hdfs.callTimeout=30000

# 组装source、channel、sink

a1.sources.r1.channels = c1

a1.sinks.k1.channel = c1

========================================================================================================================================================

20-flume拦截器-测试运行

vim server.sh

# !/bin/bash

while true

date >> /export/servers/taillogs/access.log;

date >> /export/servers/taillogs/web.log;

date >> /export/servers/taillogs/nginx.log;

sleep 0.5;

done

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node03启动flflume实现数据收集

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

bin/flume-ng agent -c conf -f conf/avro_source_hdfs_sink.conf -name a1 -Dflume.root.logger=DEBUG,console

node01与node02启动flflume实现数据监控

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

bin/flume-ng agent -c conf -f conf/exec_source_avro_sink.conf -name a1 -Dflume.root.logger=DEBUG,console

node01与node02启动生成文件脚本

cd /export/servers/shells

sh server.sh

posted @ 2020-04-05 16:56 Curedfisher 阅读(192) 评论(0) 编辑收藏举报

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Flume2-高可用+拦截器

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