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Method for randomly extracting and matching supervision object library and law enforcement officer library

A technology for law enforcement officers and object libraries, applied in the field of data processing, can solve the problems of database deadlock, long response time, poor read and write performance, etc., to improve the efficiency of data extraction, reduce pressure, and improve speed.

Pending Publication Date: 2021-12-14
INSPUR SOFTWARE CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, for the extraction and matching of the supervision object database and the law enforcement personnel database with a large amount of data, when using a traditional relational database to perform complex read and write operations on a large amount of data, the read and write performance is relatively poor, and it is easy to cause database deadlocks, etc. Problems occur, causing the system to have problems such as slow extraction and matching speed, long response time, and poor user experience

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  • Method for randomly extracting and matching supervision object library and law enforcement officer library
  • Method for randomly extracting and matching supervision object library and law enforcement officer library

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Embodiment Construction

[0026] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0027] Redis is a lightweight, open source, NoSQL (non-relational) database written in C. Redis runs on memory and supports persistence. It has the advantages of fast read and write speed and supports storage of rich data types. Redis not only supports simple key-value type data, but also provides storage of data structures such as list, set, zset, a...

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Abstract

The invention particularly relates to a method for randomly extracting and matching a supervision object library and a law enforcement officer library. The method for randomly extracting and matching the supervision object library and the law enforcement officer library is characterized by storing data of the supervision object library and the law enforcement officer library in a relational database; the method comprises the four parts of: interface-based definition of random extraction rules, Redis random extraction of data, grouping extracted data for matching, and storage of extracted result data by the relational database. According to the method for randomly extracting and matching the supervision object library and the law enforcement officer library, complex multi-table associated query and large-data-volume reading and writing in the relational database can be avoided, so that the data extraction efficiency is improved, the pressure of relational data is reduced, and the data query speed is increased; meanwhile, by storing result data through the relational database, the data structure is clear and easy to maintain, whole-course data-trace leaving and responsibility traceability are realized, and task formulation of intra-department and cross-department joint supervision can be completed.

Description

technical field [0001] The invention relates to the technical field of data processing based on a non-relational database, in particular to a method for randomly extracting and matching a supervision object database and a law enforcement personnel database. Background technique [0002] With the development of information technology and the promotion of the double random one public supervision model, the need to randomly select matching data from a large amount of data is also more common. In the prior art, relational databases such as MySQL are mostly used to store the data of the supervision object database and the law enforcement personnel database, and SQL statements are used to perform data retrieval and extraction. Therefore, most of the random extraction and matching methods for the supervision object database and the law enforcement personnel database are realized by relational databases. However, for the extraction and matching of the supervision object database an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/23G06F16/28
CPCG06F16/2228G06F16/2379G06F16/284
Inventor 姜健
Owner INSPUR SOFTWARE CO LTD
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