Hotspot data detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a hotspot data detection method and device, electronic equipment and a storage medium, and relates to the technical field of computers, and the hotspot data detection method comprises the following steps: obtaining access record data of an accessed hotspot; calculating an access heat value corresponding to each accessed hot spot according to the access record data; and selecting target hotspot data from the plurality of accessed hotspots according to the access popularity value. According to the hotspot data detection method, the hotspot data can be accurately and stably found in real time, and the applicability is high.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a hotspot data detection method, device, electronic equipment and storage medium. Background technique [0002] REmote DIctionary Server (Redis) is a key-value (key-value, value based on keywords) storage system written by Salvatore Sanfilippo. In Internet products, in order to cope with the increasing number of users and the surge in visits during business peaks, most of them use cache middleware such as Redis to store some hot data, which is used to reduce the pressure on the database and improve the overall performance of the system. However, in some flash sales or big promotional business scenarios or social hot events, there will suddenly be hundreds of thousands or even higher requests to access a specific key (keyword) on Redis, resulting in excessive traffic concentration. The upper limit of the physical network card or the upper limit of the processing capacit...

AI Technical Summary

Problems solved by technology

However, in some flash sales or big promotional business scenarios or social hot events, there will suddenly be hundreds of thousands or even higher requests to access a specific key (keyword) on Redis, resulting in excessive traffic concentration. The upper limit of the physical network card or the upper limit of the processing capacity of the server is reached, resulting in the unavailability of the Redis service

[0003] At present, it is usually used to estimate hot keys based on business experience, or use the Monitor command that comes with Redis to capture and analyze hot keys in real time, or use TCP packet capture tools to capture all traffic received by the Redis server, and then analyze Get hotspot keys, but these methods have high development costs, are not practical, and will reduce the overall performance of Redis

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