摘要：
随着云计算、互联网等技术的飞速发展,数据量呈现爆炸性增长趋势,半结构和非结构化数据增长迅速,传统的关系型数据库愈来愈不能满足人们的需求.NoSQL(非关系型数据库)的出现,对于解决庞大数据量和高并发等问题提供了非常有效的解决方案.MongoDB数据库作为NoSQL中的一员,以其独特的优势而受人青睐.在关系数据库中,查询作为数据库中最为频繁的操作,查询的效率一直是人们研究的重点.相对应的,在大数据背景下,在非关系数据库中实现数据的快速查询变得愈加重要.文中主要研究MongoDB数据库的分页查询技术,针对MongoDB系统中内置的skip limit分页技术查询效率低的现象,从分析影响分页查询速度的关键因素入手,提出一种新的分页技术进行优化.实验结果表明,优化后的查询方法在实现分页显示的操作中速度有明显的提高.%With the rapid development of cloud computing,Internet and other technologies,the amounts of data have presented explosive growth trend. Semi-structured and unstructured data grow rapidly,so the traditional relational database cannot meet the public needs. No-SQL ( non relational database) provides an effective solution for the problems like huge amount of data and high concurrency. MongoDB database,as a member of the NoSQL,is favored by people with its unique advantages. The query as the most frequent operation in the re-lational database,its efficiency has been the focus of the research. Correspondingly,in the context of big data,in the non-relational data-base achieving data rapidly becomes more important. In this paper,we mainly studies the paging technology of MongoDB database. Ai-ming at the low query efficiency of the skip limit paging technology in MongoDB system,we propose a new paging technique to opti-mize by analysis of the key factors affecting the speed of paging technology. The experiments show that the optimized method has a sig-nificant improvement in the speed of the paging operation.
