Abstract
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.
Highlights
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
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 improve the efficiency of the join operations of cross⁃databases
Summary
录时所花费的时间,记为 ΔTp,i, 其中,i 表示预取的 序号,且 1 ≤ i ≤ Cp。 在数量上,该参数等于每次预 取的结束时间与每次预取的开始时间的差值,即 间,记为 ΔTq,j, 其中,j 表示分页获取的序号, 并且 1 ≤ j ≤ Cq。 在数量上, 这个参数等于每次分页获 取的结束时间与每次分页获取的开始时间的差值, 即 费的时间,记为 ΔT∗,j,其中,j 表示分页获取的序号, 并且 1 ≤ j ≤ Cq。 在数量上,这个参数等于下一次分 页获取的开始时间与本次分页获取的结束时间的差
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