A Paged Prefetching Model for Join Operations of Cross-Databases

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 p...

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Format: Article
Language:zho
Published: EDP Sciences 2020-12-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1225/jnwpu2020386p1225.html
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description 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.
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spelling doaj.art-474ec098887146bbb3c458d68d5ea0cf2023-12-02T15:16:41ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252020-12-013861225123410.1051/jnwpu/20203861225jnwpu2020386p1225A Paged Prefetching Model for Join Operations of Cross-Databases01School of Computer Science and Engineering, Northwestern Polytechnical UniversitySchool of Computer Science and Engineering, Northwestern Polytechnical UniversityAs 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.https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1225/jnwpu2020386p1225.htmlbig datanosqlsqldatabase integrationcross-databases joinpaged prefetching modeltime delaypaging query
spellingShingle A Paged Prefetching Model for Join Operations of Cross-Databases
Xibei Gongye Daxue Xuebao
big data
nosql
sql
database integration
cross-databases join
paged prefetching model
time delay
paging query
title A Paged Prefetching Model for Join Operations of Cross-Databases
title_full A Paged Prefetching Model for Join Operations of Cross-Databases
title_fullStr A Paged Prefetching Model for Join Operations of Cross-Databases
title_full_unstemmed A Paged Prefetching Model for Join Operations of Cross-Databases
title_short A Paged Prefetching Model for Join Operations of Cross-Databases
title_sort paged prefetching model for join operations of cross databases
topic big data
nosql
sql
database integration
cross-databases join
paged prefetching model
time delay
paging query
url https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1225/jnwpu2020386p1225.html