教你如何迅速秒杀掉：99%的海量数据处理面试题 - 结构之法 算法之道 - 博客频道 - CSDN.NET


教你如何迅速秒杀掉：99%的海量数据处理面试题 - 结构之法 算法之道 - 博客频道 - CSDN.NET
通过本blog内的有关海量数据处理的文章：Big Data Processing，我们已经大致知道，处理海量数据问题，无非就是：
那解决办法呢?针对时间，我们可以采用巧妙的算法搭配合适的数据结构，如Bloom filter/Hash/bit-map/堆/数据库或倒排索引/trie树，针对空间，无非就一个办法：大而化小，分而治之（hash映射），你不是说规模太大嘛，那简单啊，就把规模大化为规模小的，各个击破不就完了嘛。

  • 分而治之/hash映射 + hash统计 + 堆/快速/归并排序；
  • 双层桶划分
  • Bloom filter/Bitmap；
  • Trie树/数据库/倒排索引；
  • 外排序；
  • 分布式处理之Hadoop/Mapreduce。

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