负载均衡
Flume 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
第一步:开发 node01 服务器的 flume 配置
node01 服务器配置:
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin/conf vim load_banlancer_client.conf
|
load_banlancer_client.conf a1.channels = c1 a1.sources = r1 a1.sinks = k1 k2
a1.sinkgroups = g1
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
a1.sinks.k1.channel = c1 a1.sinks.k1.type = avro a1.sinks.k1.hostname = node02 a1.sinks.k1.port = 52020
a1.sinks.k2.channel = c1 a1.sinks.k2.type = avro a1.sinks.k2.hostname = node03 a1.sinks.k2.port = 52020
a1.sinkgroups.g1.sinks = k1 k2
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
|
第二步:开发 node02 服务器的 flume 配置
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin/conf vim load_banlancer_server.conf
|
load_banlancer_server.conf a1.sources = r1 a1.sinks = k1 a1.channels = c1
a1.sources.r1.type = avro a1.sources.r1.channels = c1 a1.sources.r1.bind = node02 a1.sources.r1.port = 52020
a1.sinks.k1.type = logger
a1.channels.c1.type = memory a1.channels.c1.capacity = 1000 a1.channels.c1.transactionCapacity = 100
a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1
|
第三步:开发 node03 服务器 flume 配置
node03 服务器配置
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin/conf vim load_banlancer_server.conf
|
load_banlancer_server.conf a1.sources = r1 a1.sinks = k1 a1.channels = c1
a1.sources.r1.type = avro a1.sources.r1.channels = c1 a1.sources.r1.bind = node03 a1.sources.r1.port = 52020
a1.sinks.k1.type = logger
a1.channels.c1.type = memory a1.channels.c1.capacity = 1000 a1.channels.c1.transactionCapacity = 100
a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1
|
第四步:准备启动 flume 服务
启动 node03 的 flume 服务
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin bin/flume-ng agent -n a1 -c conf -f conf/load_banlancer_server.conf -Dflume.root.logger=DEBUG,console
|
启动 node02 的 flume 服务
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin bin/flume-ng agent -n a1 -c conf -f conf/load_banlancer_server.conf -Dflume.root.logger=DEBUG,console
|
启动 node01 的 flume 服务
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin bin/flume-ng agent -n a1 -c conf -f conf/load_banlancer_client.conf -Dflume.root.logger=DEBUG,console
|
第五步:node01 服务器运行脚本产生数据
cd /export/servers/shells sh tail-file.sh
|