flume+kafka+hbase(hadoop)+zookeeper+hive+SSM
运营商通话日志文件是一直都在追加的，CallLog日志会有一个滚动的过程，用flume进行实时收集（Exec类型的Source），收集到之后收集到kafka中， kafka作为高速缓存，而且kafka是有副本功能，可以容错。 Hbase适合随机定位和实时读写。创建HbaseConsumer从kafka中订阅消息，消息写入Hbase集群。
数据在Hbase中需要避免热点问题，类似于数据倾斜问题，数据集中在其中的一部分节点，造成大量的节点不提供服务，性能很差。 造成热点问题的主要原因就是rowkey，因此需要设计合适的rowkey：使用盐析。第一种是随机盐析， 第二种是hash（本文使用的方式）。
完成的功能： 1.通话详单查询 2.按照时间端查询通话记录 3.用户最近通话信息查询 4.局部实时刷新通话记录 5.指定号码指定年份中各月份的通话次数
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