Distributed time sequence database management system and method
By combining data characteristics for distributed storage management and dynamic adjustment of user permissions, the efficiency and security problems of traditional databases when processing large-scale time series data are solved, and accurate management and privacy protection of time series data are achieved.
CN120144591APending Publication Date: 2025-06-13HUANENG INFORMATION TECH CO LTD +1
Patent Information
- Application Number
- CN202510336285.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-20
- Publication Date
- 2025-06-13
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Figure CN120144591A_ABST
Abstract
The invention provides a distributed time series database management system and method, and relates to the technical field of database management, and the method comprises the steps: determining a distributed storage technology of a distributed database based on the data characteristics of time series data, and storing historical time series data to obtain first storage data; the authority adjustment module is used for performing data analysis based on the real-time behavior data of the user access time sequence data so as to determine the user authority level and perform authority adjustment; the data analysis module is used for extracting sensitive information in the time sequence data, performing desensitization processing on the basis of the sensitive information, and analyzing and optimizing a data analysis result of the real-time behavior data of the target user on the basis of the desensitization data after desensitization processing; the method is used for determining an optimal index structure based on real-time business requirements of a distributed database, so that index query is performed on the distributed database based on a target user. The management of the database can be more efficient and safer, and the query management efficiency is improved.
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Citation Information
Cited By
Target user-oriented behavior log time series data distributed storage and multi-dimensional analysis method
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