The performance testing feature is currently in Beta. If you met any problems, please join the Technical Support Discord and provide your feedback.
Performance testing involves sending large-scale service requests to an API to identify performance bottlenecks, assess stability, expose potential risks under pressure, and ensure the API can operate reliably and respond to requests under high load.
Before running a performance test, you need to specify the runtime environment and optionally test data for the test scenario, as well as configure the performance test settings.
After associating test data, virtual users will use the variables defined in the test data to execute requests. You can choose to run in either "Random Match" or "Sequential Match" mode:
Random Match: Each virtual user randomly selects a row of data from the test data to run. In this mode, all virtual users will select one test data row and execute the performance test.
Sequential Match: Each virtual user selects a row of data from the test data in order. Note: If the number of virtual users exceeds the number of test data rows, the excess virtual users will not start the performance test.
Users typically access a service gradually over time, rather than instantly. To simulate this, set a ramp-up time to gradually increase the number of parallel users over the first X minutes (X is the preset value). If X is set to 0, all virtual users start immediately at the beginning of the test.
After triggering the performance test, an intuitive visualization panel will display key metrics such as Total Requests, Avg Throughput, Avg Response Time, Maximum/Minimum Response Time, and Errors for each API.Only one performance test can be run for a project at a time. If a higher-priority test needs to be conducted, click the "Terminate" button in the top right corner.
During the performance test, you can hover over the test chart to view the test details for each time period in real-time.Click "Error" to check failed requests for the API and analyze possible causes. You can also filter API requests in the filter bar.Due to the large volume of API requests in a performance test, only failed requests are categorized and displayed statistically. Detailed error information and request details for each API are not recorded. If you encounter unexpected errors, run a "Functional Test" first and resolve all issues before running a "Performance Test."
Q: How can I export performance test reports?A: Performance testing is currently in the beta stage, and Apidog does not yet support exporting performance test reports. You can only view the results within the Apidog client.Q: How can I view the actual requests and responses in the performance tests?A: Apidog's performance testing does not provide the ability to view the actual requests and responses.This is because performance testing focuses on evaluating the API's behavior under high load, and these APIs should have already 100% passed functional testing. Any issues are likely caused by server performance, not the request/response content.Therefore, viewing the actual requests and responses would not help troubleshoot performance-related problems. Therefore, the performance testing feature in Apidog does not provide the functionality to view the actual requests and responses.
