High concurrent service request processing method and device, electronic device and storage medium

Abstract

The invention provides a high-concurrency service request processing method and device, electronic equipment and a storage medium. The method includes: receiving high-concurrency service requests, and calculating the total number of requests per second for high-concurrency service requests; The comparison result of the total amount threshold determines its sending method; the sending method in response to the high concurrent service request is a synchronous sending method: after the target execution module receives the high concurrent service request, it executes the high concurrent service request; in response to the high concurrent service request The sending method is an asynchronous sending method: the high-concurrency service request is cached, and the high-concurrency service request is executed after the target execution module receives the cached high-concurrency service request. The technical solution of the invention can automatically select different sending modes according to the total number of requests per second of high concurrent service requests, and reduce the execution pressure of the target execution module.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a high-concurrency service request processing method and device, electronic equipment and a storage medium. Background technique [0002] With the advent of the big data era, in different application scenarios, a large number of concurrent service requests frequently occur, and these high concurrent service requests will have a huge impact on the execution performance of the target execution module, for example, high concurrent service The request will cause the target execution module to go down due to the huge number of service requests, etc. [0003] For these high-concurrency service requests, in the prior art, one of the manually preset synchronous and asynchronous sending methods is generally used for sending, and it does not automatically select the corresponding sending method according to the execution status of the target execution module. In this way, the fl...

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Problems solved by technology

[0002] With the advent of the big data era, in different application scenarios, a large number of concurrent service requests frequently occur, and these high concurrent service requests will have a huge impact on the execution performance of the target execution module, for example, high concurrent service The request will cause the target execution module to crash due to the huge number of service requests, etc.

[0003] For these high-concurrency service requests, in the prior art, one of the manually preset synchronous and asynchronous sending methods is generally used for sending, and it does not automatically select the corresponding sending method according to the execution status of the target execution module. way, the flexibility is poor, and the execution state of the target execution module is easily affected, resulting in a decrease in its performance

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