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After setting up a Test Plan, now you need to associate your test cases and execute it as well via HyperExecute. -After setting up a Test Plan, now you need to associate your test cases and execute it as well via HyperExecute. +You can use your own project to configure and test it. For demo purposes, we are using the sample repository. + +:::tip Sample repo +Download or Clone the code sample for the JMeter Performance Testing from the LambdaTest GitHub repository to run the tests on the HyperExecute. + +Image View on GitHub +::: ## Step 1: Setup your JMeter Project -- Go to the [HyperExecute Project's Dashboard](https://hyperexecute.lambdatest.com/hyperexecute/projects) and click on the **Setup new project** button. -- Browse and Upload the test plans that you have created. +- Go to the [HyperExecute Project's Dashboard](https://hyperexecute.lambdatest.com/hyperexecute/projects) and click on the **New Project** button. +- Browse and Upload your JMeter test files to create a new performance test project. - Click on the **Save** button -HyperExecute - -## Step 2: Execute Your Test Plans + +## Step 2: Execute your Test Plans - Select your desired **.jmx** file and click on the **Run** button. - Configure the following parameters to perform the testing and click on the **Continue** button - - **Total Users :** This indicates the number of users you intend to test for. - **Duration (min) :** This specifies the desired duration for the test. - **Ramp-up Time (min) :** This specifies the amount of time it should take to reach the peak test load. - **Total Load Distribution :** Configure the **regions** in which you want to distribute the load testing as per the % of the users. + - **Split CSV :** Enables splitting the input data from a CSV file among different threads or regions. This ensures organized data utilization across parallel executions. + - **Job Labels :** Add meaningful labels or tags to test executions for better identification and traceability in logs and reports. + - **Machine count :** Specify the number of machines (or nodes) to use for parallel test execution. This parameter is essential for scaling test workloads or reducing execution time. :::info **Supported Regions :** HyperExecute supports the following regions for performance testing - West US 2 (Moses Lake, Washington) -- East US (Richmond, Virginia) +- East US (Richmond, Virginia) (**default**) - Central India (Pune, Maharashtra) - Southeast Asia (Singapore) - Brazil South (São Paulo State, Brazil) @@ -80,7 +89,9 @@ After setting up a Test Plan, now you need to associate your test cases and exec - Click on the **Run Test** button. -HyperExecute + ## Step 3: Analyze Your Project Performance @@ -96,24 +107,24 @@ After setting up a Test Plan, now you need to associate your test cases and exec - **Load** and **Response Time** graph. - Additional details like **regions** and test duration. -HyperExecute +HyperExecute ### Timeline Report -HyperExecute +HyperExecute ### Request Stats You can analyze the number of requests sent on that particular time. -HyperExecute +HyperExecute ### Errors - Here you can check the Error Code type, Error Count, percentage of that error, and the percent of error in all the samples. -HyperExecute +HyperExecute ### Logs - You can check the logs of your Jobs executed. -HyperExecute \ No newline at end of file +HyperExecute