Apache Flume load-balance、failover

load-balance、failover

在完成单点的Flume NG搭建后，下面我们搭建一个高可用的Flume NG集群，架构图如下所示：

Flume的Agent和Collector分布如下表所示：

图中所示，Agent1数据分别流入到Collector1和Collector2，Flume NG本身提供了Failover机制，可以自动切换和恢复。在上图中，有3个产生日志服务器分布在不同的机房，要把所有的日志都收集到一个集群中存储。下面我们开发配置Flume NG集群

flume的高可用搭建failover案例

• node03 安装 flume
  将node01机器上面的flume安装包拷贝到node03机器上面去
  node01机器执行以下命令

cd /export/servers
scp -r flume/  node03:$PWD

• node01配置flume配置文件
  node01机器配置agent的配置文件

cd /export/servers/flume/conf
vim agent.conf


#agent1 name
agent1.channels = c1
agent1.sources = r1
agent1.sinks = k1 k2
#
##set gruop
agent1.sinkgroups = g1
##set sink group
agent1.sinkgroups.g1.sinks = k1 k2

#
agent1.sources.r1.type = exec
agent1.sources.r1.command = tail -F /export/data/flume/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.type = avro
agent1.sinks.k1.hostname = node02
agent1.sinks.k1.port = 52020
#
## set sink2
agent1.sinks.k2.type = avro
agent1.sinks.k2.hostname = node03
agent1.sinks.k2.port = 52020
#
##set failover
agent1.sinkgroups.g1.processor.type = failover
agent1.sinkgroups.g1.processor.priority.k1 = 2
agent1.sinkgroups.g1.processor.priority.k2 = 1
agent1.sinkgroups.g1.processor.maxpenalty = 10000
#
agent1.sources.r1.channels = c1
agent1.sinks.k1.channel = c1
agent1.sinks.k2.channel = c1

maxpenalty故障转移的默认时间

• node02 与 node03 配置 flumecollection
  node02机器修改配置文件

cd /export/servers/flume/conf
vim collector.conf


#set Agent name
a1.sources = r1
a1.channels = c1
a1.sinks = k1

## other node,nna to nns
a1.sources.r1.type = avro
a1.sources.r1.bind = node02
a1.sources.r1.port = 52020

##set channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

#
##set sink to hdfs
a1.sinks.k1.type=hdfs
a1.sinks.k1.hdfs.path= hdfs://node01:8020/data/flume/failover/


a1.sources.r1.channels=c1
a1.sinks.k1.channel=c1

node03机器修改配置文件

cd  /export/servers/flume/conf
vim collector.conf

#set Agent name
a1.sources = r1
a1.channels = c1
a1.sinks = k1

## other node,nna to nns
a1.sources.r1.type = avro
a1.sources.r1.bind = node03
a1.sources.r1.port = 52020

##set channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

#
##set sink to hdfs
a1.sinks.k1.type=hdfs
a1.sinks.k1.hdfs.path= hdfs://node01:8020/data/flume/failover/


a1.sources.r1.channels=c1
a1.sinks.k1.channel=c1

• 顺序启动命令
  node03机器上面启动flume

cd /export/servers/flume

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

node02机器上面启动flume

cd /export/servers/flume

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

node01机器上面启动flume

cd /export/servers/flume

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

node01机器启动文件产生脚本

cd  /export/shells
sh tail-file.sh

• 进行FAILOVER测试

flume 的负载均衡 load balancer

负载均衡是用于解决一台机器(一个进程)无法解决所有请求而产生的一种算法。Load balancing Sink Processor 能够实现 load balance 功能，如下图Agent1 是一个路由节点，负责将 Channel 暂存的 Event 均衡到对应的多个 Sink组件上，而每个 Sink 组件分别连接到一个独立的 Agent 上，示例配置，如下所示：

在此处我们通过三台机器来进行模拟flume的负载均衡
三台机器规划如下：

• node01：采集数据，发送到node02和node03机器上去
• node02：接收node01的部分数据
• node03：接收node01的部分数据\

负载均衡

• 开发node01服务器的flume配置
  node01服务器配置：

cd /export/servers/flume/conf
vim load_banlancer_client.conf


#agent name
a1.channels = c1
a1.sources = r1
a1.sinks = k1 k2

#set gruop
a1.sinkgroups = g1
#set sink group
a1.sinkgroups.g1.sinks = k1 k2

#set sources
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /export/data/flume/taillogs/access_log

#set channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# set sink1
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = node02
a1.sinks.k1.port = 52021

# set sink2
a1.sinks.k2.type = avro
a1.sinks.k2.hostname = node03
a1.sinks.k2.port = 52021


#set load_balance
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


a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
a1.sinks.k2.channel = c1

• 开发node02服务器的flume配置

cd /export/servers/flume/conf
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.bind = node02
a1.sources.r1.port = 52021

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Describe the sink
a1.sinks.k1.type = logger

# Bind the source and sink to the channel 
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

• 开发node03服务器flume配置
  node03服务器配置

cd /export/servers/flume/conf
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.bind = node03
a1.sources.r1.port = 52021

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Describe the sink
a1.sinks.k1.type = logger

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

• 准备启动flume服务
  启动node03的flume服务

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

启动node02的flume服务

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

启动node01的flume服务

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

• node01服务器运行脚本产生数据

cd /export/shells
sh tail-file.sh

本文地址：https://blog.csdn.net/qq_45798620/article/details/110538958