Data caching method and system, storage medium and equipment

Abstract

The invention relates to a data caching method and system, a storage medium and equipment. The method comprises the following steps: counting the background server page view of an access word at a preset time interval; when the page view of the access word reaches a first preset threshold value, marking the access word as a hotspot word, and calling content data corresponding to the hotspot word;caching the content data from the redis storage end to the client; when the preset time background server page view of the hotspot words is lower than a first preset value, marking the hotspot words as temperature point words; and when the preset time background server page view of the temperature point word is lower than a second preset value, clearing content data corresponding to the client. Through the data query method and device, the cache space of the redis storage end is reasonably allocated and utilized, and the response efficiency of data query and the stability of a query system areimproved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data caching method, system, storage medium and equipment. Background technique [0002] With the development of the Internet, a large number of network applications have generated massive amounts of data. In order to improve query efficiency and avoid system bottlenecks caused by direct operations with the database, data is usually put into the redis storage terminal. [0003] The hotspot data cached on the redis storage end may have more than 70% of the data volume. Within a fixed period of time, only 30% of the access requests are received, and the remaining 30% bears 70% of the access requests. There may even be 1 % of the data bears 90% of the access requests in a certain period of time. For the access demand that is generated rapidly at a certain period of time, there will be the following types of potential risks; (1) at a certain period of time There is...

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Problems solved by technology

[0003] The hotspot data cached on the redis storage end may have more than 70% of the data volume. Within a fixed period of time, only 30% of the access requests are received, and the remaining 30% bears 70% of the access requests. There may even be 1 % of the data bears 90% of the access requests in a certain period of time. For the access demand that is generated rapidly at a certain period of time, there will be the following types of potential risks; (1) at a certain period of time There is a rapid access demand for a small part of the cached data. Assuming that the current cached data is invalid, a large number of requests are directly sent to the database, causing the entire system to crash. Even if double-ended locking is done, a new cache is obtained in the database Data, there will also be a large number of access requests blocked and request timeout; (2) Assuming that the cache system is stable, a large number of requests are directly hit by the cache, assuming that for a single service, the number of requests to access the redis storage end exceeds the redis storage end Connection pool resources will cause access failure or other unknown problems to other requests of the current application to access the redis storage end; (3) Assuming that the cache system is stable, a large number of requests are directly hit by the cache. For the redis storage end cluster service, it may It is necessary to measure the amount of access requests, assuming that it exceeds the amount that the current cluster can bear, it may lead to the instability of the cache cluster service

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