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伴随着信息技术在各行各业的高速推进和深入应用,每时每刻都有大量且种类繁多的数据产生。许多行业,特别是一些重要的行业客户,如电信、金融、科研机构数据库中的数据呈现出了几何级数的增长,而与此同时,访问数据库的人数也越来越多。面对这种数据和访问同时增长带来的沉重负载,很多基于单处理器和单计算机平台的传统数据库系统的处理能力已经显得捉襟见肘,这使得数据库的响应速度越来越慢,查询方式越来越复
With the rapid advancement and further application of information technology in all walks of life, there are a large number and variety of data generated every moment. Data in many industries, especially in key industry clients such as telecom, finance and research institutes, has grown geometrically, while at the same time more and more people are accessing the database. Faced with the heavy load caused by the simultaneous growth of such data and access, many traditional database systems based on single-processor and single-computer platforms have been stretched in handling capacity, which makes the response speed of the database slower and slower and more inquiries The more complex