GitHub already provides an awesome action to cache your workload to Azure's servers hosted in United States. However, if you are using self-hosted runners hosted far away from the cache location, or if you pay external network way more than internal network, you may want to host your cache elsewhere for better performance and lower costs.

This action does have the same set of inputs as the @actions/cache action from GitHub, in addition to a new bucket input which should contain your target Google Cloud Storage bucket. As simple as that.

workflow.yml

- name: Authenticate to Google Cloud
  uses: google-github-actions/auth@v0
  with:
    workload_identity_provider: projects/your-project-id/locations/global/workloadIdentityPools/your-identity-pool/providers/your-provider
    service_account: github-ci@your-project.iam.gserviceaccount.com

- name: Cache the node_modules
  id: node-modules-cache
  uses: pass-culture-github-actions/gcs-cache@v1.0.0
  with:
    bucket: my-ci-cache
    path: node_modules
    key: node-modules-${{ runner.os }}-${{ hashFiles('package-lock.json') }}
    restore-keys: |
      node-modules-${{ runner.os }}-

- name: Install dependencies
  if: steps.node-modules-cache.outputs.cache-hit == 'false'
  run: npm ci

This GitHub action can take several inputs to configure its behaviors:

Note: the path and restore-keys inputs can contains multiple value separated by a new line.

This GitHub action will output the following values:

workflow.yml

- name: Authenticate to Google Cloud
  uses: google-github-actions/auth@v0
  with:
    workload_identity_provider: projects/your-project-id/locations/global/workloadIdentityPools/your-identity-pool/providers/your-provider
    service_account: github-ci@your-project.iam.gserviceaccount.com

- name: Cache the node_modules and npm cache
  id: node-modules-cache
  uses: pass-culture-github-actions/gcs-cache@v1
  with:
    bucket: my-ci-cache
    path: |
      node_modules
      ~/.npm
    key: npm-and-node-modules-${{ runner.os }}-${{ hashFiles('package-lock.json') }}
    restore-keys: |
      npm-and-node-modules-${{ runner.os }}-

When compressing or decompressing the cache archive, the action will lookup for the best compression algorithm to use. If zstd is available, it will be used instead of gzip by default. The compression method will be added to the object's metadata on the Bucket. Thanks to this, when decompressing, the correct algorithm will be used.

Installing zstd on Ubuntu is simple as doing a apt install zstd.

Note that if a cache archive was compressed using one algorithm, this same algorithm should be installed to decompress it after.

Here is a little snippet allowing you to create your cache bucket with Terraform (which you should probably use):

resource "google_storage_bucket" "ci_cache" {
  name                        = "your-ci-cache"
  location                    = "your-location" # "EUROPE-WEST1"
  uniform_bucket_level_access = true

  lifecycle_rule {
    action {
      type = "Delete"
    }

    condition {
      age = 7
    }
  }
}

resource "google_storage_bucket_iam_member" "ci_cache_write_github_ci" {
  bucket = google_storage_bucket.ci_cache.name
  role   = "roles/storage.objectCreator"
  member = "serviceAccount:github-ci@your-project.iam.gserviceaccount.com"
}

resource "google_storage_bucket_iam_member" "ci_cache_read_github_ci" {
  bucket = google_storage_bucket.ci_cache.name
  role   = "roles/storage.objectViewer"
  member = "serviceAccount:github-ci@your-project.iam.gserviceaccount.com"
}

resource "google_storage_bucket_iam_member" "ci_cache_legacy_write_github_ci" {
  bucket = google_storage_bucket.ci_cache.name
  role   = "roles/storage.legacyBucketWriter"
  member = "serviceAccount:github-ci@your-project.iam.gserviceaccount.com"
}

Yes you can. When storing to the bucket, this action will use the following the following path:

[repository owner]/[repository name]/[cache key].tar.gz

This project is MIT licensed.

Fork heavily inspired from https://github.com/MansaGroup/gcs-cache-action/

Thanks goes to these wonderful people:

Jérémy Levilain 💻 📖 🤔