flume总结（2）--多级agent串联

最新推荐文章于 2024-11-10 13:07:09 发布

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原文链接：http://www.cnblogs.com/tianjun2012/p/6825869.html

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#大数据

本文介绍了一个使用Flume进行数据传输的例子，通过tail命令监控文件变化，并将数据发送到Avro端口，再由另一节点接收并记录到日志中。此流程展示了Flume的数据收集和传输能力。

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一、简介：

根据上面的定义，我们模拟如下的流程：（arvo，一种网络字节流传输规范）

二、从tail命令获取数据发送到avro端口(mini1机器)
另一个节点可配置一个avro源来中继数据，发送外部存储

tail-avro.conf:

##################
# 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
a1.sinks = k1
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = mini02
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

三、从avro端口接收数据，下沉到logger（mini02机器）

# 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 = 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