海量数据下的Web分页呈现研究

在Internet上经常遇到海量数据库分页呈现问题,针对ADO(AxtiveX Data Object)记录集分页、转储记录集分页和基于SQL(Structured Query Language)分页等算法在海量数据下存在响应速度慢、响应能力弱、资源占用多等缺陷,在分析这些方法的基础上,提出了一种改进的方法.该方法在传统的C/S(Client/Server)结构中将Server端的海量数据以分页的方式在Client端Web呈现给用户,然后,对所有的方法进行测试和分析,通过对比表明,新算法的响应速度最大可提高21.4%,响应能力比其他算法提高1.3～4倍,在大数据量下尤其明显.

Research of Web's Pagination Display in Condition of Mass Data

On Internet there are many Web pages need fetch some information showed by pagination from mass database. Now many methods have been provided including ADO(AxtiveX Data Object)pagination, transferring-|recordset pagination, SQL(Structured Query Language)-|based pagination, etc. But all these methods are obviously defective, including low responsivity, weak responsive ability and excessive use of computer resource. A new improved method is proposed. We test all these methods and analyze experimental results. The results show that the responsivity of new method can be promoted 21-^4% at the most, and its responsive ability is 1-^3~4 times than other methods. Especially, new method represents its good performance in condition of mass data.