Flume的可靠性保证：故障转移、负载均衡

官网的配置 ： https://flume.apache.org/FlumeUserGuide.html

Flume的一些组件（如Spooling Directory Source、File Channel）能够保证agent挂掉后不丢失数据。

1、负载均衡

1）Load balancing Sink Processor

source里的event流经channel，进入sink组，在sink组内部根据负载算法（round_robin、random）选择sink，后续可以选择不同机器上的agent实现负载均衡。



配置如下：

# Name the components on this agent
a1.sources = r1
a1.sinks = k1 k2
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.channels=c1
a1.sources.r1.command=tail -F /home/flume/xx.log

#define sinkgroups
a1.sinkgroups=g1
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

#define the sink 1
a1.sinks.k1.type=avro
a1.sinks.k1.hostname=192.168.1.112
a1.sinks.k1.port=9876

#define the sink 2
a1.sinks.k2.type=avro
a1.sinks.k2.hostname=192.168.1.113
a1.sinks.k2.port=9876

# 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
a1.sinks.k2.channel=c1

2）Load balancing Log4J Appender

不同的agent处理同一个client产生的数据。

log4j.rootLogger=INFO,flume
log4j.appender.flume = org.apache.flume.clients.log4jappender.LoadBalancingLog4jAppender
log4j.appender.flume.Hosts = 192.168.1.111:41414 192.168.1.111:41414

2、故障转移

Failover Sink Processor

配置一组sink，这组sink组成一个Failover Sink Processor，当有一个sink处理失败，Flume将这个sink放到一个地方，等待冷却时间，可以正常处理event时再拿回来。

event通过通过一个channel流向一个sink组，在sink组内部根据优先级选择具体的sink，一个失败后再转向另一个sink，流程图如下：

# Name the components on this agent
a1.sources = r1
a1.sinks = k1 k2
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.channels=c1
a1.sources.r1.command=tail -F /home/flume/xx.log

#define sinkgroups
a1.sinkgroups=g1
a1.sinkgroups.g1.sinks=k1 k2
a1.sinkgroups.g1.processor.type=failover
a1.sinkgroups.g1.processor.priority.k1=10
a1.sinkgroups.g1.processor.priority.k2=5
a1.sinkgroups.g1.processor.maxpenalty=10000

#define the sink 1
a1.sinks.k1.type=avro
a1.sinks.k1.hostname=192.168.1.112
a1.sinks.k1.port=9876

#define the sink 2
a1.sinks.k2.type=avro
a1.sinks.k2.hostname=192.168.1.113
a1.sinks.k2.port=9876

# 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
a1.sinks.k2.channel=c1

备注：

在Sink中的两个数据为优先级设置默认为5，数字越大越优先

a1.sinkgroups.g1.processor.priority.k1=10
a1.sinkgroups.g1.processor.priority.k2=5