An optimized cimiss database system and its adaptation method
A database and structured data technology, applied in the database field, can solve problems such as low query efficiency, low expansion cost performance, and expensive minicomputers, and achieve high scalability, improve efficiency, and enhance storage and service capabilities.
Active Publication Date: 2020-03-10
四川省气象探测数据中心
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[0008] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides an optimized CIMISS database system and its adaptation method with high timeliness for data storage, capital investment saving and high expansibility, which improves the performance of the CIMISS database system and increases the data The timeliness of the query solves the problems of poor timeliness of CIMISS data query in the case of a large amount of data increase in the existing technology, low query efficiency and low cost-effective expansion caused by expensive minicomputers
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[0040] Exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be understood that the implementations shown and described in the drawings are only exemplary, intended to explain the principle and spirit of the present invention, rather than limit the scope of the present invention.
[0041] An optimized CIMISS database system, such as figure 1 As shown, it includes distributed database, ORACLE database, data processing system DPC, data storage management system SOD and meteorological data unified service interface MUSIC.
[0042] DPC, SOD and MUSIC are all communicated with distributed database and ORACLE database.
[0043] The distributed database adopts the Share Nothing architecture, such as figure 2 As shown, it includes a load balancing server, an engine server, a database node, and a data network switch that are sequentially connected in communication; the load balancing server is connected ...
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The invention discloses an optimized CIMISS database system, including a distributed database, an ORACLE database, DPC, SOD and MUSIC. The distributed database and the ORACLE database are dual-database and mutually backup structures; DPC, SOD and MUSIC are all related to the distributed database. The communication connection between the database and the ORACLE database. The distributed database includes load balancing servers, engine servers, database nodes and data network switches; the load balancing server is connected to the unified service interface for meteorological data; and the adaptation method based on the optimized CIMISS database system, including DPC adaptation scheme, SOD adaptation scheme and MUSIC adaptation scheme; the present invention solves the problems in the prior art that the timeliness of data query becomes poor, the query efficiency is not high and the price of minicomputers is high, and the problems of low cost performance for expansion caused by the increase of a large amount of data exist in the prior art.
Description
technical field [0001] The invention belongs to the technical field of databases, and in particular relates to an optimized CIMISS database system and an adaptation method thereof. Background technique [0002] CIMISS (China Integrated Meteorological Information Service System) is the abbreviation of the national comprehensive meteorological information sharing platform. The system integrates data collection and distribution, quality control and product generation, storage management, shared services, and business monitoring. It is deployed at the national and 31 provinces, and began to operate in all provinces of the country in 2016. At present, CIMISS has realized the unified storage and management of more than 300 kinds of basic meteorological data, and provided real-time historical integrated long-sequence data online service. It supports more than 100 national and provincial meteorological business applications such as MICAPS4, CIPAS, and MDOS, and has become the basic...
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IPC IPC(8): G06F16/25G06F16/245H04L29/08
CPCH04L67/1034H04L67/1001
Inventor 徐晓莉向筱铭杨雪宋智江蕾刘寰邱玲
Owner 四川省气象探测数据中心