近期,听了王家林老师的2016年大数据Spark“蘑菇云”行动,需要将flume,kafka和Spark streaming进行整合。感觉一时难以上手,先从简单着手吧:
一、netcat方式+Logger日志显示
Flume 配置文件如下:
# example.conf: A single-node Flume configuration # Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = netcat a1.sources.r1.bind = localhost a1.sources.r1.port = 44444 # 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
flume的启动:
$ bin/flume-ng agent –conf conf –conf-file example.conf –name a1 -Dflume.root.logger=INFO,console
触发数据:
telnet localhost 44444
会在flume的控制台出现同样的字符。
二、flume级联方式
通过avro,在两台机器间传送数据,源头为netcat
原创文章,作者:kepupublish,如若转载,请注明出处:https://blog.ytso.com/192845.html