flume容错（故障转移）

flume容错（故障转移）

1.概念：

①当一台机器出现故障时，另一台机器代替其工作

②通常用于解决单点故障，给容易出故障的地方设置备份

③备份越多，容错能力越强，资源浪费越严重

2.脚本编写

hadoop01：
创建exec-avro-failover.properties

#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/xiaokang/logs/456.log

# set sink1
agent1.sinks.k1.channel = c1
agent1.sinks.k1.type = avro
agent1.sinks.k1.hostname = hadoop02
agent1.sinks.k1.port = 52020

# set sink2
agent1.sinks.k2.channel = c1
agent1.sinks.k2.type = avro
agent1.sinks.k2.hostname = hadoop03
agent1.sinks.k2.port = 52020

#set sink group
agent1.sinkgroups.g1.sinks = k1 k2

#set failover 设置故障转移
agent1.sinkgroups.g1.processor.type = failover

#k1首先消费数据，k1对应的是hadoop02
agent1.sinkgroups.g1.processor.priority.k1 = 10
agent1.sinkgroups.g1.processor.priority.k2 = 1
agent1.sinkgroups.g1.processor.maxpenalty = 10000

hadoop02：
创建avro-logger-failover.properties

# 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 = hadoop02
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

hadoop03：
创建avro-logger-failover.properties

# 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 = hadoop02
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 = c

3.flume启动

[xiaokang@hadoop03 ~]$ flume-ng agent -n a1 -c /opt/software/flume-1.9.0/conf/ -f flume_scripts/avro-logger-failover.properties -Dflume.root.logger=INFO,console
[xiaokang@hadoop02 ~]$ flume-ng agent -n a1 -c /opt/software/flume-1.9.0/conf/ -f flume_scripts/avro-logger-failover.properties -Dflume.root.logger=INFO,console
[xiaokang@hadoop01 ~]$ flume-ng agent -n agent1 -c /opt/software/flume-1.9.0/conf/ -f flume_scripts/exec-avro-failover.properties -Dflume.root.logger=INFO,console

4.验证

[xiaokang@hadoop01 ~]$ while true; do date >> /home/xiaokang/logs/456.log ; done

hadoop02开始消费数据

手动结束hadoop02的flume进程之后，hadoop01立即报错，显示hadoop02连接失败。此时hadoop03代替hadoop02执行任务，如下图所示：

最后

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