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Flume负载均衡串联

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。

Flume负载均衡串联
  • 同一个请求只能交给一个进行处理,避免数据重复。
  • 如何分配请求就涉及到了负载均衡算法:轮询(round_robin)、随机(random)、权重
  • flume串联跨网络传输数据
    • avro sink (avro是一种协议)
    • avro source

      使用上述两个组件指定绑定的端口ip就可以满足数据跨网络的传递,通常用于flume串联架构中。

  • flume串联启动时,通常从远离数据端开始启动。

配置文件如下:

agent1:

#agent1 name
agent1.channels = c1
agent1.sources = r1
agent1.sinks = k1 k2

#set gruop
agent1.sinkgroups = g1

#set channel
agent1.channels.c1.type = memory
agent1.channels.c1.capacity = 1000
agent1.channels.c1.transactionCapacity = 100

agent1.sources.r1.channels = c1
agent1.sources.r1.type = exec
agent1.sources.r1.command = tail -F /root/logs/123.log

# 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 = load_balance
agent1.sinkgroups.g1.processor.backoff = true
agent1.sinkgroups.g1.processor.selector = round_robin
agent1.sinkgroups.g1.processor.selector.maxTimeOut=10000
           

对于agent2

# 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   #绑定本机的ip
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
           

对于agent3

# 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  #绑定本机的ip
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
           

这里假设agent4为坏了,现在只有三台。

启动:

node03、node02执行:

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

node01执行

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

在第一台node01上使用shell命令模拟: