Cache data dynamic generation method and system

Abstract

An embodiment of the invention discloses a cache data dynamic generation method and system. The method comprises the steps: obtaining the operation data of an Internet of Vehicles operation platform,and obtaining a function identification, a function version number and a data set version number in the Internet of Vehicles operation platform according to the operation data; obtaining a real parameter list requested by a user, and calculating a hash value of the real parameter list; dynamically generating a cache KEY according to the function identifier, the function version number, the data set version number and the hash value of the actual parameter list. In the method disclosed in the embodiment of the invention, the function version number is the version number of the source code level, is directly controlled by research and development personnel, and is simple and effective. The identifiers of the functions are easy to identify in the cache system, and therfore research and development personnel can conveniently check problems; the cached KEY can be automatically switched during function upgrading and data changing, so that the problems of data missing, old data and new data confusion and the like caused by manual intervention are avoided, data display becomes instant change, and all modules are unified.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to a method and system for dynamically generating cached data. Background technique [0002] With the development of the Internet and the information industry, a large number of fragmented data records have been generated in the process of enterprise operation and production, such as transaction flow, consumption and browsing habits, equipment location information, and temperature sampling information. Their number and growth rate far exceed the carrying capacity of the enterprise infrastructure. How to effectively utilize this valuable digital asset and provide reliable and time-sensitive data support for corporate strategic decision-making is a matter of constant concern for every enterprise. [0003] Big data mainly has four characteristics: scale (Volume), high speed (Velocity), diversity (Variety), and authenticity (Veracity). process, multi-thread, or multi-...

AI Technical Summary

Problems solved by technology

[0013] In view of the above technical problems, the embodiment of the present invention provides a method and system for dynamically generating cached data, which can solve the situation in the prior art that there are multiple business systems accessing the same data resource, so when the data resource changes, it will A technical issue that produces inconsistencies in the cached data

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