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  • 【MySQL】海量量数据查询优化

    参考资料:

    mysql处理海量数据时的一些优化查询速度方法:http://www.cnblogs.com/lingiu/p/3414134.html

    mysql千万级大数据SQL查询优化:http://blog.csdn.net/u014421556/article/details/52063904

    MySQL百万级数据库查询优化技巧:http://blog.csdn.net/duck_arrow/article/details/45481999

    如何提高上百万级记录MySQL数据库查询速度:http://zhidao.baidu.com/link?url=c97MwaedM1NP-aQJqRYMvmyPew3U2y0l-DVKKQ4sFNS86bPwh8pqnylbdGB9KyGXSpR27dvL5kmHuie2j_bF7UIYJ5GrGW_GsFWixkBhzP_

    mysql查询大量数据,比如几十万条的时候,cpu占用率都彪到100%了,我是四个表联表查询,这个怎么优化啊:http://www.oschina.net/question/230889_119713

    提高mysql千万级大数据SQL查询优化30条经验(Mysql索引优化注意)  :http://blog.163.com/zhangjie_0303/blog/static/9908270620146951355834/

    关于mysql处理百万级以上的数据时如何提高其查询速度的方法:http://www.2cto.com/database/201306/222839.html

    Mysql查询语句优化技巧:http://www.jb51.net/article/83298.htm

    mysql批量查询、批量插入优化:http://biancheng.dnbcw.info/sql/188295.html

    MySQL批量SQL插入性能优化:http://blog.jobbole.com/48417/

    http://database.51cto.com/art/201407/445934.htm

    http://blog.csdn.net/bravekingzhang/article/details/19081467

    http://soft.chinabyte.com/database/254/11335754.shtml

    http://www.cnblogs.com/alexlo/p/5087015.html

    Presto

    http://code.csdn.net/news/2824376

    http://getindata.com/blog/tutorials/tutorial-using-presto-to-combine-data-from-hive-and-mysql-in-one-sql-like-query/

    http://www.itnose.net/detail/6304690.html

    架构优化

    http://www.cnblogs.com/flish/archive/2012/04/01/2428350.html

    http://www.2cto.com/database/201411/348519.html

    http://www.cnblogs.com/go-onxp/p/oracle.html

    http://wujt.iteye.com/blog/684458

     海量数据查询
    http://www.cnblogs.com/lijunjie/archive/2010/08/27/1810220.html
    http://mengqingyu.iteye.com/blog/1830572
    http://www.zgguan.com/it/article/id/2468.html
    http://www.itpub.net/thread-1637585-1-1.html
    http://www.cnblogs.com/yi-ye/p/5570599.html
    http://www.xker.com/page/e2015/04/172655.html
    http://www.360doc.com/content/11/0504/17/4520139_114338585.shtml
    http://www.tranbbs.com/Periodical/ehualu3/neikan_136672.shtml
    http://www.imooc.com/article/1204
     

     

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  • 原文地址:https://www.cnblogs.com/junneyang/p/5842006.html
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