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作 者:母凤雯 MU Feng-wen (Southwest Petroleum University,Computer Technology,Chengdu 610500,China)
出 处:《电脑知识与技术》2017年第9期9-11,13,共4页Computer Knowledge and Technology
摘 要:随着数据库技术的发展,数据库索引技术面临着巨大的挑战,为了了解数据库索引技术的发展方向,文章对数据库索引技术的发展现状进行了简要概述。文章从数据库技术的发展出发,阐述了数据库索引技术发展的必然方向,简单说明了传统的数据库索引技术,例如ISAM索引、b+树、Hash索引,并对可能成第三阶段数据库主流的面向对象数据库的索引技术,例如结构索引、路径索引、多重索引进行了阐述。文章重点对当前大数据时代下,基于大数据的数据库索引技术进行梳理和总结,指出大数据环境中为应对数据容量大、速度快、种类多、价值密度低的4v特点而发展出的索引机制的特点。文章最后对数据库索引的发展方向进行思考讨论,进一步说明数据库索引技术下一步的发展可能方向。With the development of database technology, database indexing technology is facing great challenges. In order to un- derstand the development direction of database indexing technology, this paper gives a brief overview of the development of data- base indexing technology. Based on the development of database technology, this paper expounds the inevitable direction of the development of database indexing technology, and briefly describes the traditional database indexing technology, such as ISAM in- dex, b + tree, Hash index, and elaborates the indexing techniques of object-oriented database which may be the mainstream of the third stage database, such as structural indexing, path indexing, multiple indexes. This paper focuses on the database indexing technology Based on large data in the current large data age, and points out that the index mechanism developed in the large data environment to cope with the 4v characteristics of data capacity, speed, variety and low value density specialty. Finally, the article discusses the development direction of the database index, and further explains the possible direction of the development of the database indexing technology.
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