Test Independence: Ensure that your tests are independent of each other. Tests running in parallel should not share any state or rely on a specific order of execution.
Resource Utilization: Running tests in parallel can be resource-intensive. The optimal number of cores to use depends on your system's resources and the nature of your tests.
Database Access: If your tests interact with a database, make sure to configure your database for concurrent access or use separate database instances for each test thread to avoid conflicts.
Logging and Output: Parallel test execution can result in interleaved output logs. pytest-xdist offers options to manage and control log output.
Compatibility: Some pytest plugins or custom fixtures may not be compatible with parallel execution.
pip install pytest-xdist pytest -n 4
Notes:
Test Independence: Ensure that your tests are independent of each other. Tests running in parallel should not share any state or rely on a specific order of execution.
Resource Utilization: Running tests in parallel can be resource-intensive. The optimal number of cores to use depends on your system's resources and the nature of your tests.
Database Access: If your tests interact with a database, make sure to configure your database for concurrent access or use separate database instances for each test thread to avoid conflicts.
Logging and Output: Parallel test execution can result in interleaved output logs. pytest-xdist offers options to manage and control log output.
Compatibility: Some pytest plugins or custom fixtures may not be compatible with parallel execution.