Interface access request processing method and storage medium

Abstract

The invention provides an interface access request processing method and a storage medium, and the method comprises the steps: receiving a first interface access request, and judging whether there is an equivalent request which does not return a request result at present according to the first interface access request; blocking the first interface access request in response to the current existence of a second interface access request which does not return the request result; and responding to request result return of the second interface access request, sending the request result to a second requester corresponding to the second interface access request, copying the request result, and sending the copied request result to a first requester corresponding to the first interface access request. According to the interface access request processing method and the storage medium provided by the invention, when it is judged that the request result of the equivalent request is not returned, the new request is blocked, and after the request result is returned, the request result is copied and sent to the requester of the new request, so that high-concurrency optimization is effectively realized, the server interface processing pressure is relieved, and the cache dependence is avoided.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for processing an interface access request and a storage medium. Background technique [0002] When a large number of repeated requests access the server at the same time, it is easy to cause system performance problems due to excessive traffic of this service or downstream services (this service only performs forwarding processing at this time). The traditional solution requires developers to actively determine whether there are a large number of concurrent usage scenarios on the server interface. According to the specific situation of the interface, use local cache or distributed cache to optimize the interface. When an external request accesses the server interface, determine whether there is a cache within the validity period. If there is, the data in the cache is obtained as the interface return value, if not, the data is actually obtained and returned, and the re...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that developers need to evaluate the pressure of the interface in advance in the design phase of the solution, and the special code to implement the caching function can support high concurrency. If the developer does not evaluate it in place, it may cause performance problems

In addition, general cluster services use distributed cache to provide cache servers, increasing middleware dependencies and increasing service complexity

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