Skip list data-based non-relational database generation and query method and device

By using a non-relational database generation and query method based on skip list data, the performance limitations of traditional relational databases in big data scenarios are solved, enabling efficient data retrieval and analysis and meeting the data processing needs of finance and other fields.

CN115269609BActive Publication Date: 2026-07-07INDUSTRIAL AND COMMERCIAL BANK OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Filing Date
2022-08-18
Publication Date
2026-07-07

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Abstract

The application can be used in the technical field of big data technology application in finance, and provides a non-relational database generation and query method and device based on skip list data, the non-relational database generation method based on skip list data comprises the following steps: generating a query index array according to a plurality of historical query expressions of a relational source database; determining data corresponding to the query index array in the relational source database; and generating a non-relational database according to the data corresponding to the query index array and a skip list model.The non-relational database generation and query method and device based on skip list data provided by the application make full use of the characteristics of the non-relational database, and under the premise of guaranteeing efficient query and sacrificing only a small part of local storage space, the specific interface is used to complete fast retrieval, classification, range query and other operations on the local dump data set, so that the data analysis and other tasks can be efficiently completed.
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