This thread is trying to answer question "How does playwright determine how to split tests during sharding?"
Related Ask AI answer for "What is the process of splitting tests during sharding in Playwright and how can I control the evenness of the split?".
Sharding tests in Playwright is a breeze. You can use the --shard
command line option to specify the shard index and total number of shards. For instance, if you want to split your test suite into three shards, you can use the following commands:
npx playwright test --shard=1/3
npx playwright test --shard=2/3
npx playwright test --shard=3/3
This way, you can distribute your tests across multiple machines or processes.
To balance your shards, adjust the number of shards (y
) based on your needs. If you have a lot of tests and want each shard to contain roughly the same number of tests, increase y
. If some tests take longer than others, decrease y
to balance their execution time across shards.
Remember, Playwright doesn't automatically determine an optimal shard split. You're in the driver's seat here.
By default, Playwright runs test files in parallel with separate worker processes. You can disable parallelism by allowing just a single worker at any time. Use the workers: 1
option in the configuration file or pass --workers=1
as a command line argument.
// configuration file
{
"workers": 1
}
// command line
npx playwright test --workers=1
You can also parallelize within a single file using test.describe.configure()
. By default, tests in a single file run in order. But if you have many independent tests in a single file, you can run them in parallel.
test.describe.configure({ mode: 'parallel' })
Remember, parallel tests run in separate worker processes and can't share any state or global variables. Happy testing with Playwright!
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