After getting these performance test decomposition operations, your test path will be more smooth

Previously, there was a live broadcast of the test group built by ourselves to share some basic content of performance testing , At that time, some people said that they hoped to have a practical sharing , After thinking about it, some things belong to company secrets, which are not convenient for direct live sharing ,

Here is an example of a performance test I have done recently , Understanding first ...

Let's take a look at a perfect performance testing process , Here's the picture ：

Of course , It is difficult to realize this perfect process in actual work , The following highlights ...

One 、 Get test requirements

I received such a performance test request last Wednesday , The general business logic is shown in the figure below ：

Briefly summarize the business logic , Namely ： Start a group , Others click on the activity to go in , Collect coupons , Then verify the effectiveness of the group when receiving the coupons , When you pay for a coupon , Verify whether you are a member first , If not , Register your membership first , Then bind the coupon to the member ！

The specific performance indicators are ： Verify the above figure 4 Interfaces in three scenarios , When the response time is 3S and 5S when , Server's TPS value （ This belongs to the application field of system performance capability verification ）.

System tested , It is the company's wechat membership system , Relatively familiar with the system architecture , There is not much here .

Two 、 Test plan and scheme

The so-called test plan , It is nothing more than how long it takes someone to accomplish something with what resources and methods .

Because this performance test requires a small amount of work , And enough time , So I did most of the testing alone , Of course , Some need development assistance .

Test plan , It is the supplement and extension of the test plan .

For example, this performance test , I expect to finish these tests in a week , Design use cases 、 Scene modeling 、 Prepare test data 、 Test script development 、 How long does it take to set up the environment , On which day, even in the morning or in the afternoon, do these tasks .

3、 ... and 、 Preparation before execution

Environment building ： The test environment has been tested for the performance of the member system before , The workload of setting up the test environment is small , Development is quickly configured , So I won't repeat it here .

Scene modeling ： Personal understanding , It is to consider which scenarios may have performance bottlenecks , Set the corresponding test script and test logic , To simulate the production environment as much as possible （ Because I am familiar with the business , I won't repeat it here , One thing to mention is ：

 Be sure to understand 、 Familiar with system business , Because demand arises , Is the user + scene ）.

Test data preparation ： There are two common ways to prepare test data ： Make a copy of the production data 、 Development script embeds data （ But either way , Be sure to pay attention to data isolation , Prevent data pollution ）.

Test script development ： First , You need to get the development interface document and database table design document from the development .

then , Debug the interface through tools or write test scripts , First, ensure that the interface can be called successfully （ The tool I use is jmeter+MySQL）.

Four 、 Execute test script

After ensuring that the interface can be called successfully , Perform single interface benchmark test first , namely ： Pressure test an interface , Keep pressurizing , Until the response time reaches or exceeds the target , Observe the current concurrent number and TPS.

Personal experience is the same number of concurrent , Do it a few more times , Get an average or stable value （ namely TPS and TRT The relatively stable value of the curve ）, And write it down .

Here's the picture ：

The purpose of the record , Through intuitive data changes , Get the maximum of a single interface TPS And the change of response time under different concurrency .

PS： I remember reading a book a few days ago ：80% Performance bottlenecks can be analyzed TPS and TRT The numerical change of （ Although a little one-sided , But it's also a way ）.

For example, according to the numerical changes recorded in the above figure , Obviously, the performance of the coupon interface is very poor , At this time, you can tell the developer , By looking at log、 Check code 、SQL Statement and other methods to query the reason （ Of course, if you have enough personal ability , These can be done by yourself ）.

5、 ... and 、 Monitoring and debugging

jmeter The performance test tool itself uses the listener component to provide a certain number of listening value reporting components , But after all, open source tools , Its own components are not powerful enough , You can download support jmeter Enhanced plug-ins to monitor .

jmeter Plug in download address ：https://jmeter-plugins.org/

After downloading, you can unzip , take plugins-manager.jar Put in jmeter The installation directory lib/exe, And then restart jmeter that will do .

You can check whether the installation is successful by clicking the button circled in the figure below ：

Whether it is server resource utilization or test data report generation , even to the extent that TPS、TRT And so on , The plug-ins provide component support , Please find out how to use it ...

The so-called monitoring and debugging , It's a process of constant adjustment and repetition , This needs to be done according to the purpose of the performance test , Application domain to determine how to execute ...

6、 ... and 、 Final report

Follow the steps above , Get test results , Analyze the bottleneck of the system , Then use various methods to put forward solutions or optimization suggestions , Finally, a complete summary of this performance test , such , The one-time energy test is completed .

In the whole process , It takes a long time to prepare test data and test execution 、 Monitor the tuning phase .

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