Seckilling method based on a Swole framework

Abstract

The invention discloses a seckilling method based on a Swole framework. The seckilling method comprises the steps: S1, enabling an authorized user to enter a seckilling page and caching user information; s2, receiving an order-placing seckilling request of the user, checking a seckilling memcached cache of the user, judging whether the cache exists or not, if yes, returning a seckilling result in the cache to the user, if not, checking the inventory, if the result obtained by subtracting the seckilling inventory of the user from the commodity inventory number is smaller than 0, returning, and ending the seckilling; s3, inputting the seckilling data into a redis queue for consumption; s4, waiting for a consumption result, and requesting a processing result again after time delay; (the interface makes a delay request, the interface delay is set, data is acquired, and the delay is set to be 2s) S5, and after a processing result is acquired, synchronously returning the processing result to the user; and S6, creating a consumption service, checking a commodity inventory after the consumption service, judging whether consumption succeeds or not, if so, carrying out ordering processing, and if not, recording seckilling failure information into a seckilling memcached cache of the user, and ending seckilling.

Description

technical field [0001] The present invention relates to the technical field of network development, in particular to a Swoole frame-based seckill method and system. Background technique [0002] With the popularity of e-commerce, shopping on Internet platforms has become a common phenomenon. Seckill is a limited-time online snap-buying activity for the purpose of promotion, allowing multiple people to snap up goods online in real time. The current mainstream seckill architecture is the "browser-site-service-data" model. When a large number of users flood into the site, the business of the website is tested by a large number of concurrency, and the IO operation capability of the database is suitable for high-concurrency data The request operation is very limited, so there is a technical bottleneck in this operation, so many systems will use the consumption queue to perform asynchronous processing to improve the performance of the system, which reduces the coupling of the syst...

AI Technical Summary

Problems solved by technology

The current mainstream seckill architecture is the "browser-site-service-data" model. When a large number of users flood into the site, the business of the website is tested by a large number of concurrency, and the IO operation capability of the database is suitable for high-concurrency data The request operation is very limited, so there is a technical bottleneck in this operation, so many systems will use the consumption queue to perform asynchronous processing to improve the performance of the system, which reduces the coupling of the system, but at the same time the complexity of the system The increase and decrease in availability have brought about reliability and consistency issues in data transmission, so how to correctly and effectively process the data results of queue consumption is a technical bottleneck

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