- JMeter Cookbook
- Bayo Erinle
- 324字
- 2021-08-05 17:36:29
Using Regular Expression Tester
When trying to extract parts of a server response through a regular matching expression, Regular Expression Tester is your best friend. This component allows you to test your regular expression patterns directly on the sampler response data. Without such a component, it will be daunting to nail down the exact regular expression to fulfill your matching needs. This component comes bundled as part of the View Results Tree listener.
How to do it…
In this recipe, we cover the use of Regular Expression Tester:
- Launch JMeter.
- Open the
ch2_regex_tester.jmx
test script located in thescripts/ch2
directory. - Run the test plan.
- Click on the View Results Tree listener.
- In the bottom-left corner of the View Results Tree listener, select the RegEx Tester option.
- In the Regular expression textbox, enter a regular expression to extract information from the server response. We can proceed in the following way:
- Let's say we wanted to extract the
xsrf
token; we will use the regular expression'xsrf':'(\w+)'
- To extract the search ID, we could use searchId =\s+\"(\d+)\"
- To extract the user region, we could use region":\s+"(\w+), and so on
- Let's say we wanted to extract the
- Once we have the right regular expression, we could then apply it to the HTTP sampler to correctly execute our test plan. This is shown in the following screenshot:
How it works…
Regular Expression Tester executes directly on the sampler response data since it is bundled as part of the results listener. As a result, we are able to refine our regular expression to our content without needing to re-execute our test script. This is a huge time saver and makes what could otherwise be a daunting task simple, in a sense.
There's more…
Regular expressions are extremely expressive and powerful. It is beyond the scope of this book to cover all the different syntax that could be used. For more information on regular expressions, some good starting resources are:
- 數據產品經理高效學習手冊:產品設計、技術常識與機器學習
- 計算機綜合設計實驗指導
- Hands-On Machine Learning with Microsoft Excel 2019
- Unity 5.x Game AI Programming Cookbook
- 使用GitOps實現Kubernetes的持續部署:模式、流程及工具
- 云計算與大數據應用
- 城市計算
- 跟老男孩學Linux運維:MySQL入門與提高實踐
- 高維數據分析預處理技術
- 辦公應用與計算思維案例教程
- 數據科學實戰指南
- Google Cloud Platform for Developers
- 區塊鏈+:落地場景與應用實戰
- R Machine Learning Essentials
- openGauss數據庫核心技術