A Paged Prefetching Model for Join Operations of Cross-Databases

被引:0
|
作者
Li, Changqing [1 ]
Gu, Jianhua [1 ]
机构
[1] School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an,710072, China
关键词
Big data;
D O I
10.1051/jnwpu/20203861225
中图分类号
学科分类号
摘要
As the applications of big data are increasing, the NoSQL (Not only Structured Query Language) database management systems have been developed rapidly. How to integrate NoSQL database and relational database effectively has become one of the research hotspots. In the existing research results, the paged query method used for join operations of these heterogeneous multi-databases can produce a large delay. In view of this deficiency, this paper presents a paged prefetching model, and focuses on its basic composition, prefetching mode and operation mechanism. A prototype system is designed and developed. The effect of this model is verified, and the expected targets are achieved. Compared with the non-prefetched paging query method, the outstanding contribution of this research result is that it can reduce the delay of paging query and thus improve the efficiency of the join operations of cross-databases. © 2020 Journal of Northwestern Polytechnical University.
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页码:1225 / 1234
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