05_ Flume多级Agent之间串联案例

多级agent之间串联：

　　　从tail命令获取数据发送到avro端口，另一个节点可配置一个avro源来获取数据，发送外部存储

启动两个Agent节点：

　　使用scp命令拷贝flume安装包到另一台虚拟机;scp -r /usr/local/src/flume/ shizhan3:$PWD

1.在shizhan2虚拟上配置采集方案：tail-avro-avro-logger.con　

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

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

# Describe the sink
#绑定的不是本机, 是另外一台机器的服务地址, sink端的avro是一个发送端, avro的客户端, 往shizhan3这个机器上发
a1.sinks = k1
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = shizhan3
a1.sinks.k1.port = 4141
a1.sinks.k1.batch-size = 2

# 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

2.在shizhan3虚拟上配置采集方案：avro-hdfs.conf(从avro端口接收数据，下沉到logger)

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

# Describe/configure the source
#source中的avro组件是接收者服务, 绑定本机
a1.sources.r1.type = avro
a1.sources.r1.channels = c1
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 4141

# 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

启动shizhan3的Agent采集方案采集数据：将日志信息打印输出到屏幕

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

往日志文件中不断输入内容，并启动启动shizhan2的Agent采集方案采集数据