基于MapReduce的海量信息索引设计

Wei Zheng, Xuguang Wang, Tao Jiang, Jing Li
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引用次数: 0

摘要

随着社会信息化的快速发展,每天都有大量的新数据产生,如何快速找到自己需要的信息是IT行业关注的焦点。基于MapReduce技术的倒排索引可以实现快速检索,是索引引擎信息检索系统中常见的索引结构。同时,海量数据需要在分布式平台上进行存储和处理,相应的文件倒排索引结构也需要在分布式平台上运行,MapReduce是目前最常用的倒排索引结构技术。基于MapReduce的海量信息索引比传统索引更快捷、方便、适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mass Information Index Design Based on MapReduce
With the rapid development of social informatization, there is a lot of new data generated every day, the focus of the IT industry is how to quickly find out the information you need. Inverted index based on MapReduce technology can achieve rapid retrieval, and it is a common index structure in the index engine information retrieval systems. At the same time, mass data need to be in a distributed platform for storage and processing, the corresponding file inverted index structure also needs to be run in a distributed platform, and MapReduce is currently the most common used technology of inverted index structure. Mass information index based on MapReduce is quicker, more convenient and suitable than the traditional index.
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