Data storage method and device

Abstract

The invention discloses a data storage method and device, and belongs to the technical field of data storage. The method comprises the following steps: according to a configuration file, determining at least one data acquisition instruction; according to each data acquisition instruction, obtaining at least one piece of first data under each data table from a first database; determining a key value corresponding to each piece of obtained first data and second data corresponding to each piece of first data; and storing the key value corresponding to each piece of first data and the second data corresponding to each piece of first data to obtain a second database. The key value corresponding to each piece of first data and the corresponding second data are determined, and the key value corresponding to each piece of first data and the second data corresponding to each piece of first data are stored to obtain the second database. Since the configuration file has expansibility, only the configuration file needs to be expanded when updated data needs to be loaded, a data storage process is simple, the stored data has the good expansibility, and therefore, data storage efficiency is high.

Description

technical field [0001] The invention relates to the technical field of data storage, in particular to a data storage method and device. Background technique [0002] With the rapid development of the Internet, more and more people start to use the Internet business. When users use network services, they usually query relevant data in the network services. For example, when a user is playing an online game, if the user needs to know the game data of another user at a certain moment, the user will query the game data of the other user through the interface provided by the game. Since the storage method of data directly affects the query process of data, how to store data is the key to improve the efficiency of data query. [0003] A data storage method is provided in the related art. In this method, the data is stored in the database in the form of a data table, and the background daemon process loads the database data into the shared memory of the service server for storage...

AI Technical Summary

Problems solved by technology

[0005] When the amount of data is too large, the shared memory will not be able to load all the data, resulting in poor scalability of the storage structure; in addition, because the code of the daemon process needs to be modified when the updated data is loaded into the shared memory for storage, The code modification process is cumbersome, and the code needs to be modified every time the updated data is loaded, making the process of storing the updated data cumbersome, with a long delay, and poor scalability of the data in the shared memory, resulting in data storage. less efficient

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