flume的几种使用方式

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 agenta1.sources = r1a1.sinks = k1a1.channels = c1# Describe/configure the sourcea1.sources.r1.type = netcata1.sources.r1.bind = localhosta1.sources.r1.port = 44444# Describe the sinka1.sinks.k1.type = logger# Use a channel which buffers events in memorya1.channels.c1.type = memorya1.channels.c1.capacity = 1000a1.channels.c1.transactionCapacity = 100# Bind the source and sink to the channela1.sources.r1.channels = c1a1.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