Running parallel tests with Selenium WebDriver can significantly reduce the execution time of a large test suite. To achieve parallelism, you need to use a test runner that supports parallel execution along with Selenium WebDriver. Below are the methods to run parallel tests in both Python and JavaScript.
Python with pytest and Selenium WebDriver
To run parallel tests in Python, you can use pytest
along with the pytest-xdist
plugin to execute tests in parallel.
First, install the required packages if you haven't already:
pip install selenium pytest pytest-xdist
Here is an example of how you might write a simple test:
# test_google_search.py
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
def test_google_search():
driver = webdriver.Chrome()
driver.get("http://www.google.com")
assert "Google" in driver.title
elem = driver.find_element_by_name("q")
elem.send_keys("Python")
elem.send_keys(Keys.RETURN)
assert "No results found." not in driver.page_source
driver.quit()
To run this test in parallel, you would execute the following command:
pytest -n NUM test_google_search.py
Replace NUM
with the number of parallel workers you want to use (e.g., 4
for 4 parallel tests). The pytest-xdist
plugin will take care of running the tests in parallel.
JavaScript with Mocha and Selenium WebDriver
In the JavaScript ecosystem, you can use the Mocha test framework along with the mocha-parallel-tests
package to achieve parallel test execution.
First, install the required packages:
npm install selenium-webdriver mocha mocha-parallel-tests chromedriver
Here's an example of a simple test using Mocha and Selenium WebDriver:
// testGoogleSearch.js
const { Builder, By, Key } = require('selenium-webdriver');
const assert = require('assert');
describe('Google Search', function() {
this.timeout(30000);
let driver;
before(async function() {
driver = await new Builder().forBrowser('chrome').build();
});
after(async function() {
await driver.quit();
});
it('searches for "WebDriver"', async function() {
await driver.get('http://www.google.com');
const searchBox = await driver.findElement(By.name('q'));
await searchBox.sendKeys('WebDriver', Key.RETURN);
const title = await driver.getTitle();
assert(title.includes('WebDriver - Google Search'));
});
// Add more tests here
});
To run Mocha tests in parallel, use the mocha-parallel-tests
command:
mocha-parallel-tests --max-parallel 4 testGoogleSearch.js
The --max-parallel
option specifies the number of test files to run in parallel.
Selenium Grid for Distributed Testing
If you want to run tests on multiple browsers and operating systems simultaneously, you can use Selenium Grid. Selenium Grid allows you to distribute tests across multiple machines, which can further reduce test execution time.
You will need to set up a Selenium Grid hub and register nodes with different browsers to the hub. Once your grid is set up, you can run tests in parallel by pointing your WebDriver instances to the hub URL and specifying desired capabilities for the browsers you wish to test on.
Here's a brief example of how you'd configure a WebDriver to use a remote Selenium Grid hub in Python:
from selenium import webdriver
desired_capabilities = {
"browserName": "chrome",
"version": "latest",
"platform": "ANY",
}
driver = webdriver.Remote(
command_executor='http://localhost:4444/wd/hub',
desired_capabilities=desired_capabilities
)
Then you'd run your tests as usual, and they would be executed on the remote nodes registered to your Selenium Grid.
Docker and Selenium Grid
Another modern approach is using Docker with Selenium Grid. You can use Docker images for Selenium Hub and Node provided by the Selenium project to quickly get a grid up and running.
# Start Selenium Grid Hub
docker run -d -p 4444:4444 --name selenium-hub selenium/hub
# Start Selenium Grid Node with Chrome
docker run -d --link selenium-hub:hub selenium/node-chrome
# Start Selenium Grid Node with Firefox
docker run -d --link selenium-hub:hub selenium/node-firefox
Then, you can connect your tests to the Selenium Grid Hub as shown in the Python example above.
Remember that running tests in parallel requires careful management of shared resources and state to prevent test interference. Also, ensure that your testing environment is set up to handle the increased load from multiple concurrent tests.