Database-based data storage method

Abstract

The invention discloses a database-based data storage method. The database-based data storage method is used to improve data updating efficiency of a target database, and includes: pre-defining a thread safety data queue in an application program, and determining that the thread safety data queue is a data source needing to be monitored; starting a pre-defined monitoring program in the applicationprogram to monitor the thread safety data queue when the application program is started; and when existence of a change of the thread safety data queue is monitored by the monitoring program, extracting data, which are already stored into the queue, from the thread safety data queue, and updating the extracted data into the target database.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a database-based data storage method. Background technique [0002] At present, the basic software and hardware on the market are not mature enough, resulting in poor performance of the whole machine. When the application system is frequently accessed in the whole machine environment, there are phenomena such as slow loading, freezing, and instability, especially in the data storage update. slowness problem. With the development of big data and the increasing amount of data storage, this problem will become more and more serious. [0003] Therefore, based on the current situation of operating system and hardware performance bottlenecks, it is necessary to improve the support capability of the basic development and operating environment, and data storage and update is an important content of the application system. In the prior art, when the application program generates data,...

AI Technical Summary

Problems solved by technology

In the prior art, when the application program generates data, it is directly stored in the target database. Since the prior art directly operates on the target database, the pressure on the database is relatively high and the response time is relatively long. Especially in high concurrency scenarios, the pressure on the target database Larger, prolonging the response time of the application system, therefore, the existing technology has the problem of slow data storage and update

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