Browser memory management method and device, computer equipment and storage medium

Abstract

The invention discloses a browser memory management method and device, computer equipment and a storage medium, realizes intelligent memory management of a browser, and belongs to the field of intelligent memory management of browsers. The method comprises the following steps: judging whether the current state of a browser meets a preset condition or not; if the current state of the browser meetsa preset condition, detecting a currently used memory space value of the browser; judging whether the used memory space value exceeds a preset memory threshold value or not; And if the used memory space value exceeds a preset memory threshold value, deleting historical cache data in a memory according to a preset rule, and returning to the step of detecting the currently used memory space value ofthe browser. When the browser is started, the memory starts to be automatically and repeatedly detected, and when the memory exceeds a set threshold value, the historical cache data is deleted, so that sufficient memory space is ensured, and flash retreating or data loss is avoided.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a browser memory management method, device, computer equipment and storage medium. Background technique [0002] At present, there is no solution to manage the memory size occupied by browsers in the market. The memory size occupied by browsers varies from manufacturer to manufacturer. For example, Google browser is about 5M, and Safari browser is about 2.5M. When the amount of data is large, once the amount of data exceeds the memory, an error will be reported, or writing will fail, and may even cause data loss. When the amount of data is large, it is not conducive to the preservation of big data and risk control. At present, the browser's own cache management strategy often adopts regular cleaning of memory or cleaning every time the browser is closed. This memory management method will still cause unpredictable risks such as flashbacks and data loss due to insufficient me...

AI Technical Summary

Problems solved by technology

When the amount of data is large, once the amount of data exceeds the memory, an error will be reported, or writing will fail, and may even cause data loss. When the amount of data is large, it is not conducive to the preservation of big data and risk control

At present, the browser's own cache management strategy often adopts regular cleaning of memory or cleaning every time the browser is closed. This memory management method will still cause unpredictable risks such as flashbacks and data loss due to insufficient memory.

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