A method and system for local precompilation and debugging of gatling pressure test scripts

Abstract

The invention discloses a Gatling pressure test script local precompilation and debugging method and system, wherein the method constructs a Gatling pressure test script project, introduces the startup Jar package provided by Gatling into the project class library of the Gatling pressure test script project, and uses Gatling The stress test component invokes the scripts in the source Jar package for stress test, thus realizing local debugging and compiling Gatling stress test script files. Further, after the debugging is successful, the gatling-script.jar executable Jar package can be released to all stress test servers with one click through the release deployment system, so as to avoid manual release on each stress test server.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and system for local precompilation and debugging of a Gatling pressure test script. Background technique [0002] Gatling (server performance testing tool) is an open source HTTP (Hypertext Transfer Protocol)-based stress testing tool, which can simultaneously simulate the requests of millions of users to visit a certain website URL (web address) concurrently, so as to achieve the website. Purpose of scenario stress testing. For example, the panic buying scenario of a shopping website includes business logic links such as product viewing, purchase, order placement, and payment, and the pressure test of the entire link can be implemented in one script. In terms of use, it needs to use the Scala language to write the corresponding pressure test script. The simple one can be the pressure test of a single URL, and the more complicated one can be the pressure test...

AI Technical Summary

Problems solved by technology

During the pressure test, the technology provided by the present invention is used to compile the Gatling pressure test script locally and then publish it to the pressure test server after passing it, so as to overcome the potential errors in the script that cannot be found in time in the prior art and the defects that affect the actual pressure test flow calculation

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