Data access method, device, equipment and storage medium

Abstract

The embodiment of the invention discloses a data access method, a device, equipment and a storage medium. If a storage request is received, to-be-stored data can be obtained, and the data structure ofthe to-be-stored data is defined by a structure body in a data protocol supporting an extended field. According to the position label of the field in the structural body, the to-be-stored data is encoded to generate the target data file, so that the complex data structure is converted into the binary format convenient for storage in an encoding mode, and the target data file can be directly stored to the target position. Therefore, the method can be suitable for data storage of various data structures, the complex data structure can be converted into a file format convenient for storage during storage, a storage structure does not need to be designed, and the use and maintenance cost is reduced. Meanwhile, due to the fact that the data protocol supports field extension, when a new data structure exists or the data structure is changed, processing of the existing data structure cannot be affected by field addition, and the storage process of the new complex data structure is simplified.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a data access method, device, equipment and storage medium. Background technique [0002] Terminal devices usually generate or need to configure various application data when running applications. The storage of application data is generally stored in the database, including the following methods: SharedPreference (a lightweight storage method), lightweight structured query Language (Structured Query Language Lite, SQLite) database, content provider (ContentProvider), etc. SharedPreference is generally used to store some simple data structures, such as integers, Boolean values, strings, etc. SQLite databases are mostly used to store relational data. [0003] In the case of storing data structures in a database-based manner, if you want to store more complex data structures, such as hybrid data structures or custom data structures, you need to design such as adjacency li...

AI Technical Summary

Problems solved by technology

[0003] In the case of storing data structures in a database-based manner, if you want to store more complex data structures, such as hybrid data structures or custom data structures, you need to design such as adjacency list (Adjacency List), path enumeration (Path Enumeration) , Closure Table and other storage structures, these storage structures are not only expensive to use and maintain, but also need to be completely rewritten when a new data structure appears, the process is cumbersome and time-consuming

Images