We run [our tests](https://github.com/microsoft/playwright/blob/main/.github/workflows/tests_secondary.yml) on GitHub Actions, across a matrix of 3 platforms (Windows, Linux, macOS) and 3 browsers (Chromium, Firefox, WebKit).
GitHub Actions support [running jobs in a container](https://docs.github.com/en/actions/using-jobs/running-jobs-in-a-container) by using the [`jobs.<job_id>.container`](https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idcontainer) option.
GitHub Actions supports [sharding tests between multiple jobs](https://docs.github.com/en/actions/using-jobs/using-a-matrix-for-your-jobs) using the [`jobs.<job_id>.strategy.matrix`](https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstrategymatrix) option. The `matrix` option will run a separate job for every possible combination of the provided options. In the example below, we have 2 `project` values, 10 `shardIndex` values and 1 `shardTotal` value, resulting in a total of 20 jobs to be run.
> Note: The `${{ <expression> }}` is the [expression](https://docs.github.com/en/actions/learn-github-actions/expressions) syntax that allows accessing the current [context](https://docs.github.com/en/actions/learn-github-actions/contexts). In this example, we are using the [`matrix`](https://docs.github.com/en/actions/learn-github-actions/contexts#matrix-context) context to set the job variants.
Running Playwright on Circle CI is very similar to running on Github Actions. In order to specify the pre-built Playwright [Docker image](./docker.md) , simply modify the agent definition with `docker:` in your config like so:
Note: When using the docker agent definition, you are specifying the resource class of where playwright runs to the 'medium' tier [here](https://circleci.com/docs/configuration-reference?#docker-execution-environment). The default behavior of Playwright is to set the number of workers to the detected core count (2 in the case of the medium tier). Overriding the number of workers to greater than this number will cause unnecessary timeouts and failures.
Similarly, If you’re using Playwright through Jest, then you may encounter an error spawning child processes:
[00:00.0] jest args: --e2e --spec --max-workers=36
Error: spawn ENOMEM
at ChildProcess.spawn (internal/child_process.js:394:11)
```
This is likely caused by Jest autodetecting the number of processes on the entire machine (`36`) rather than the number allowed to your container (`2`). To fix this, set `jest --maxWorkers=2` in your test command.
Sharding in Circle CI is indexed with 0 which means that you will need to override the default parallelism ENV VARS. The following example demonstrates how to run Playwright with a Circle CI Parallelism of 4 by adding 1 to the `CIRCLE_NODE_INDEX` to pass into the `--shard` cli arg.
```yml
playwright-job-name:
executor: pw-focal-development
parallelism: 4
steps:
- run: SHARD="$((${CIRCLE_NODE_INDEX}+1))"; npm run test -- --shard=${SHARD}/${CIRCLE_NODE_TOTAL}
Bitbucket Pipelines can use public [Docker images as build environments](https://confluence.atlassian.com/bitbucket/use-docker-images-as-build-environments-792298897.html). To run Playwright tests on Bitbucket, use our public Docker image ([see Dockerfile](./docker.md)).
GitLab CI supports [sharding tests between multiple jobs](https://docs.gitlab.com/ee/ci/jobs/job_control.html#parallelize-large-jobs) using the [parallel](https://docs.gitlab.com/ee/ci/yaml/index.html#parallel) keyword. The test job will be split into multiple smaller jobs that run in parallel. Parallel jobs are named sequentially from `job_name 1/N` to `job_name N/N`.
```yml
stages:
- test
tests:
stage: test
image: mcr.microsoft.com/playwright:v1.26.0-focal
parallel: 7
script:
- npm ci
- npx playwright test --shard=$CI_NODE_INDEX/$CI_NODE_TOTAL
```
GitLab CI also supports sharding tests between multiple jobs using the [parallel:matrix](https://docs.gitlab.com/ee/ci/yaml/index.html#parallelmatrix) option. The test job will run multiple times in parallel in a single pipeline, but with different variable values for each instance of the job. In the example below, we have 2 `PROJECT` values, 10 `SHARD_INDEX` values and 1 `SHARD_TOTAL` value, resulting in a total of 20 jobs to be run.
```yml
stages:
- test
tests:
stage: test
image: mcr.microsoft.com/playwright:v1.26.0-focal
parallel:
matrix:
- PROJECT: ['chromium', 'webkit']
SHARD_INDEX: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
SHARD_TOTAL: 10
script:
- npm ci
- npx playwright test --project=$PROJECT --shard=$SHARD_INDEX/$SHARD_TOTAL
1. Use `npm ci` (instead of `npm install`) which forces a clean install: by
removing the existing `node_modules` directory. See [npm docs](https://docs.npmjs.com/cli/ci.html).
1. Cache the browser binaries, with the steps below.
#### Directories to cache
With the default behavior, Playwright downloads the browser binaries in the following
directories:
-`%USERPROFILE%\AppData\Local\ms-playwright` on Windows
-`~/Library/Caches/ms-playwright` on MacOS
-`~/.cache/ms-playwright` on Linux
To cache the browser downloads between CI runs, cache this location in your CI
configuration, against a hash of the Playwright version.
## Debugging browser launches
Playwright supports the `DEBUG` environment variable to output debug logs during execution. Setting it to `pw:browser*` is helpful while debugging `Error: Failed to launch browser` errors.
On Linux agents, headed execution requires [Xvfb](https://en.wikipedia.org/wiki/Xvfb) to be installed. Our [Docker image](./docker.md) and GitHub Action have Xvfb pre-installed. To run browsers in headed mode with Xvfb, add `xvfb-run` before the Node.js command.