Gatling is a high-performance server performance testing tool developed based on Scala. It is also a powerful load testing tool. It is designed for ease of use, high maintainability and high performance. Out of the box, Gatling has become the preferred tool for load testing any HTTP server due to its excellent support for HTTP protocol. Official address: https://gatling.io/get-started/ .
Before using Gatling, you need to build a Java environment to ensure that the Java environment has been built. The download address is: https://gatling.io/open-source/ , after the download is successful, unzip it. The directory information is:
Next, configure the environment. The configured information is as follows:
#Gatling export GATLING_HOME=/Applications/devOps/tools/gatling export PATH=$PATH:$GATLING_HOME/bin
After successfully configuring environment variables, enter:
Press enter to display the GUI interface of Gatling, as follows:
Gatling actual combat
The following is an official case to demonstrate the basic use of Gatling. Execute and enter the following commands on the console:
gatling.sh #After entering the above command, the following information is displayed GATLING_HOME is set to /Applications/devOps/tools/gatling Choose a simulation number:  computerdatabase.BasicSimulation  computerdatabase.advanced.AdvancedSimulationStep01  computerdatabase.advanced.AdvancedSimulationStep02  computerdatabase.advanced.AdvancedSimulationStep03  computerdatabase.advanced.AdvancedSimulationStep04  computerdatabase.advanced.AdvancedSimulationStep05 #Enter 0 on the console to display the entered information and finally the result information of the test report. The specific process is as follows 0 Select run description (optional) Simulation computerdatabase.BasicSimulation started... Generating reports... ================================================================================ ---- Global Information -------------------------------------------------------- > request count 13 (OK=13 KO=0 ) > min response time 241 (OK=241 KO=- ) > max response time 1478 (OK=1478 KO=- ) > mean response time 458 (OK=458 KO=- ) > std deviation 339 (OK=339 KO=- ) > response time 50th percentile 301 (OK=301 KO=- ) > response time 75th percentile 527 (OK=527 KO=- ) > response time 95th percentile 1100 (OK=1100 KO=- ) > response time 99th percentile 1402 (OK=1402 KO=- ) > mean requests/sec 0.448 (OK=0.448 KO=- ) ---- Response Time Distribution ------------------------------------------------ > t < 800 ms 11 ( 85%) > 800 ms < t < 1200 ms 1 ( 8%) > t > 1200 ms 1 ( 8%) > failed 0 ( 0%) ================================================================================ Reports generated in 0s. Please open the following file: /Applications/devOps/tools/gatling/results/basicsimulation-20211101134633997/index.html
Open the final HT ML test report, and the detailed performance test result data and corresponding index data will be displayed, as shown below:
To test the performance of the login service, you need to write specific test scripts. Specifically, you need to write case code in the directory of gathering / user files / simulations / computerdatabase. The specific code is written in Scala language. The source code is as follows:
After the code is written successfully, execute gatling.sh again, as shown below:
Select 1 to start execution. The following is the execution result information. The specific results are as follows:
Combined with the above cases, we can see that the Gatling test tool has a high load on the server, which is more suitable for verifying the queue mechanism of the service and the response mechanism and carrying capacity of the service under the microservice architecture. Thank you for reading. We will continue to introduce the case application of the tool to the server in the future.
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