面向大数据的数字图书馆数据库缓存模型设计

Design of Digital Library Database Cache Model Oriented to Big Data

设计面向大数据的数字图书馆信息系统数据库缓存模型,从模型的功能架构、运行流程方面进行介绍,规定应用程序接口,在尽可能不改动数字图书馆信息系统原程序的基础上,实现用户操作序列或进程行为序列的捕捉,并使用Hammer Ora数据库测试工具对本模型进行测试,结果证明缓存模型适合处理数字图书馆海量信息系统产生的数据,具有良好的经济性和有效性。

This paper designs a digital library database cache model oriented to big data, introduces model＇ s functional architecture and operation process, and defines the application program interface. Then it realizes to capture user＇ s operating sequence or process behavior sequence based on the exsiting library information system programming. At last, the model is tested by HammerOra that is a database test tool. The result demonstrates the model is suitable for processing data generated by massive information systemof digital library and it is economic and effective.