Docker内flume http source & hdfs sink

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场景：
使用flume的http source 获取数据，hdfs sink将数据输入到hdfs ，下面是进行的配置和说明
Sink-hdfs
查看用户文档
http://flume.apache.org/FlumeUserGuide.html#netcat-source
修改配置文件

    1. 官方文档的例子    2. 修改配置    root@master:/usr/local/flume/conf# cp flume-conf.properties hdfs-s.conf    root@master:/usr/local/flume/conf# vim hdfs-s.conf     # Name the components on this agent    a1.sources = r1    a1.sinks = k1    a1.channels = c1    # Describe/configure the source    a1.sources.r1.type = http    a1.sources.r1.port = 8888    # Describe the sink    a1.sinks.k1.type = hdfs    a1.sinks.k1.channel = c1    a1.sinks.k1.hdfs.path = /home/flume-log/%y-%m-%d/%H%M/%S    a1.sinks.k1.hdfs.filePrefix = events-    a1.sinks.k1.hdfs.round = true    a1.sinks.k1.hdfs.roundValue = 10    a1.sinks.k1.hdfs.roundUnit = minute    a1.sinks.k1.hdfs.useLocalTimeStamp=true    # 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    3. 注意需要改时间戳，否则会出现错误    4. 运行    root@master:/usr/local/flume/conf# flume-ng agent --conf . --conf-file hdfs-s.conf --name a1 -Dflume.root.logger=INFO,console    5. 运行结果    6. 测试发送json数据    7. 启动hadoop完全分布式集群    root@master:/usr/local/hadoop/sbin# /usr/local/hadoop/sbin/start-all.sh     8. 启动spark集群    root@master:/usr/local/hadoop/sbin# /usr/local/spark/sbin/start-all.sh     9. 会出现错误 ，flume只是放到了一个文件里，暂时和spark集群没什么关系

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