Flume NG高可用集群搭建（亲测有效）

高可用架构图

结构分配

agent1配置(flume-client.conf)：

#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 /home/sky/flume/log_exec_tail
agent1.sources.r1.interceptors = i1 i2
agent1.sources.r1.interceptors.i1.type = static
agent1.sources.r1.interceptors.i1.key = Type
agent1.sources.r1.interceptors.i1.value = LOGIN
agent1.sources.r1.interceptors.i2.type = timestamp
# set sink1
agent1.sinks.k1.channel = c1
agent1.sinks.k1.type = avro
agent1.sinks.k1.hostname = hadoop1
agent1.sinks.k1.port = 52020
# set sink2
agent1.sinks.k2.channel = c1
agent1.sinks.k2.type = avro
agent1.sinks.k2.hostname = hadoop2
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

collector1配置(flume-server.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 = hadoop1
a1.sources.r1.port = 52020
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = static
a1.sources.r1.interceptors.i1.key = Collector
a1.sources.r1.interceptors.i1.value = hadoop1
a1.sources.r1.channels = c1
#set sink to hdfs
a1.sinks.k1.type=logger
a1.sinks.k1.channel=c1

collector2配置(flume-server.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 = hadoop2
a1.sources.r1.port = 52020
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = static
a1.sources.r1.interceptors.i1.key = Collector
a1.sources.r1.interceptors.i1.value = hadoop2
a1.sources.r1.channels = c1
#set sink to hdfs
a1.sinks.k1.type=logger
a1.sinks.k1.channel=c1

先启动server，在启动client：

flume-ng agent --conf conf --conf-file /usr/local/flume/conf/flume-server.conf --name a1 -Dflume.root.logger=INFO,console

flume-ng agent --conf conf --conf-file /usr/local/flume/conf/flume-client.conf --name agent1 -Dflume.root.logger=INFO,console

测试验证：

hadoop1收到了hadoop3的消息了，哈哈。hadoop2没有收到消息，那是因为hadoop1的priority高。
hadoop3:

hadoop1:

hadoop2:

再次测试Failover：

停掉hadoop1的Flume，再次在hadoop3发送数据。可见hadoop3的Flume报错重连了，并且hadoop2收到了数据。如果再次启动hadoop1的Flume，一切又会恢复到hadoop1接收。

hadoop3：

hadoop2：

这样测试就完毕了。Flume高可用集群就搭建好了！

备注：以上内容参考：https://www.cnblogs.com/AK47Sonic/p/7435940.html
但是本人亲自测试过的，是成功的