Game configuration data calling method, device, storage medium and electronic device

Abstract

The invention provides a game configuration data calling method, device, a storage medium and an electronic device.The method comprises the steps that configuration information of a plurality of source table files is read, and the configuration information is used for indicating data use rules of the source table files; aiming at each source table file, based on the configuration information, the game configuration data in the source table file is exported into a database file of a database engine, and the database file is stored on a disk; and calling the game configuration data to a memory from the database file by adopting an embedded script. Through the method and the device, the technical problem of high memory occupation caused by calling the game configuration data from the outside in related technologies is solved, and the memory occupation during running is effectively reduced.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for invoking game configuration data, a storage medium, and an electronic device. Background technique [0002] In related technologies, there is a large amount of configuration data in the game development process, which is used to configure the internal data attributes of the game. Most of these attributes are related to the gameplay and values ​​of the game. During the running of the game, the configuration data is loaded into the memory for use through the configuration file. [0003] In the solution of the related technology, the source file is generally exported to a specific format, and the data is loaded into the memory when used, and then converted into a lua table format for use in the game business. Because the configuration data needs to be searched according to the id of the table where the data is located, all the data in the table nee...

AI Technical Summary

Problems solved by technology

This solution solves some memory problems, but there are still defects: after splitting, the number of files is too large, which affects the packaging speed; for file search, it is limited by IO speed, and the time performance is not good; for some data types, such as luatable, it will After the data is read, the data cannot be automatically garbage collected by the virtual machine; the data cannot be range searched, or precisely located to a certain row or column

This method solves part of the memory problem, but there are also some defects: it takes up less memory than the direct luatable format, but because the entire table data is still added to the memory, it does not fundamentally solve the problem. When the project scale reaches a certain level There will still be a problem of insufficient memory; it is inconvenient to use, because in order to save space, the deserialization interface of each table needs to be written manually

[0005] For the above-mentioned problems existing in related technologies, no effective solution has been found yet

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