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Blog — PlanetScale

Keeping a Postgres queue healthy — PlanetScale Patterns for Postgres Traffic Control — PlanetScale Graceful degradation in Postgres — PlanetScale High memory usage in Postgres is good, actually — PlanetScale Stripe Projects partnership: Provision PlanetScale Postgres and MySQL databases from the Stripe CLI — PlanetScale Enhanced tagging in Postgres Query Insights — PlanetScale Behind the scenes: How Database Traffic Control works — PlanetScale Introducing Database Traffic Control — PlanetScale Scaling Postgres connections with PgBouncer — PlanetScale Drizzle joins PlanetScale — PlanetScale Video Conferencing with Postgres — PlanetScale Faster PlanetScale Postgres connections with Cloudflare Hyperdrive — PlanetScale Introducing the PlanetScale MCP server — PlanetScale Database Transactions — PlanetScale Automating our changelog with Cursor commands — PlanetScale Postgres 18 is now available — PlanetScale Using MotherDuck with PlanetScale — PlanetScale $50 PlanetScale Metal is GA for Postgres — PlanetScale AI-Powered Postgres index suggestions — PlanetScale $5 PlanetScale is live — PlanetScale Announcing Vitess 23 — PlanetScale $50 PlanetScale Metal — PlanetScale Report on our investigation of the 2025-10-20 incident in AWS us-east-1 — PlanetScale $5 PlanetScale — PlanetScale Benchmarking Postgres 17 vs 18 — PlanetScale Larger than RAM Vector Indexes for Relational Databases — PlanetScale Partnering with Cloudflare to bring you the fastest globally distributed applications — PlanetScale Processes and Threads — PlanetScale PlanetScale for Postgres is now GA — PlanetScale Postgres High Availability with CDC — PlanetScale Announcing Neki — PlanetScale Caching — PlanetScale The principles of extreme fault tolerance — PlanetScale Announcing PlanetScale for Postgres — PlanetScale Benchmarking Postgres — PlanetScale Announcing Vitess 22 — PlanetScale The Real Failure Rate of EBS — PlanetScale IO devices and latency — PlanetScale Announcing PlanetScale Metal — PlanetScale PlanetScale Metal: There’s no replacement for displacement — PlanetScale Upgrading Query Insights to Metal — PlanetScale Automating cherry-picks between OSS and private forks — PlanetScale Database Sharding — PlanetScale Anatomy of a Throttler, part 3 — PlanetScale Introducing sharding on PlanetScale with workflows — PlanetScale Announcing Vitess 21 — PlanetScale Announcing the PlanetScale vectors public beta — PlanetScale Anatomy of a Throttler, part 2 — PlanetScale Instant deploy requests — PlanetScale Anatomy of a Throttler, part 1 — PlanetScale Increase IOPS and throughput with sharding — PlanetScale Tracking index usage with Insights — PlanetScale Faster backups with sharding — PlanetScale Building data pipelines with Vitess — PlanetScale The State of Online Schema Migrations in MySQL — PlanetScale Optimizing aggregation in the Vitess query planner — PlanetScale Dealing with large tables — PlanetScale Announcing Vitess 20 — PlanetScale Self-managed Vitess vs Managed Vitess with PlanetScale — PlanetScale Achieving data consistency with the consistent lookup Vindex — PlanetScale The MySQL adaptive hash index — PlanetScale Introducing global replica credentials — PlanetScale Profiling memory usage in MySQL — PlanetScale Summer 2023: Fuzzing Vitess at PlanetScale — PlanetScale How PlanetScale makes schema changes — PlanetScale Identifying and profiling problematic MySQL queries — PlanetScale The Problem with Using a UUID Primary Key in MySQL — PlanetScale Announcing Vitess 19 — PlanetScale PlanetScale forever — PlanetScale Introducing schema recommendations — PlanetScale Amazon Aurora Pricing: The many surprising costs of running an Aurora database — PlanetScale Three common MySQL database design mistakes — PlanetScale OAuth applications are now available to everyone — PlanetScale Deprecating the Scaler plan — PlanetScale PlanetScale branching vs. Amazon Aurora blue/green deployments — PlanetScale Databases at scale — PlanetScale Considerations for building a database disaster recovery plan — PlanetScale Working with Geospatial Features in MySQL — PlanetScale PlanetScale vs Amazon Aurora replication — PlanetScale Introducing the Vantage and PlanetScale integration — PlanetScale MySQL isolation levels and how they work — PlanetScale Introducing the schemadiff command line tool — PlanetScale $ pscale ping — PlanetScale Announcing foreign key constraints support — PlanetScale The challenges of supporting foreign key constraints — PlanetScale What is HTAP? 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Announcing the PlanetScale GitHub Actions — PlanetScale
Brian Morris · 2023-03-31 · via Blog — PlanetScale

Brian Morrison II |

With our database branching and deploy request workflow, PlanetScale was built with DevOps pipelines in mind. However, anyone who's worked in DevOps long enough knows it is a very "choose your own adventure" practice. While guidelines exist, many companies build their pipelines very differently according to the needs of their products. Integrating PlanetScale into this flow is no exception. Today, we're lowering the barrier to entry by publishing the first wave of official PlanetScale GitHub Actions for you to use in your projects.

What are GitHub Actions?

Before we cover the available Actions, it's worth taking a moment to understand what GitHub Actions is. GitHub Actions allows you to automate processes directly within your repository by defining jobs in YAML that will perform operations based on the triggers you define. These YAML files are referred to as "workflows," whereas the individual operations within are called "steps." Developers are free to write their own steps using Bash or PowerShell manually, or they can search the GitHub Actions Marketplace for a pre-defined step that performs the operations they need without having to build the functionality themselves.

The setup-pscale-action GitHub Action

The planetscale/setup-pscale-action allows you to make pscale, the PlanetScale CLI tool, available within your GitHub Actions workflows.

Once installed, you are able to automate workflows via pscale on Linux, Windows, or Mac runners.

Such as:

  • Creating database branches
  • Creating branch passwords and connecting to your database
  • Opening deploy requests
  • Auto commenting schema diffs on pull requests
  • and more...

Let's look at some examples.

Create a new database branch when a GitHub branch is created

If your team opens a new database branch whenever a feature branch is created in your GitHub repository, you can use pscale to create a branch and a password. The branch credentials can then be used as environment variables in a preview or staging environment.

- name: Create branch
  env:
    PLANETSCALE_SERVICE_TOKEN_ID: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_ID }}
    PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
  run: |
    set +e
    pscale branch show ${{ secrets.PLANETSCALE_DATABASE_NAME }} ${{ env.PSCALE_BRANCH_NAME }}
    exit_code=$?
    set -e

    if [ $exit_code -eq 0 ]; then
      echo "Branch exists. Skipping branch creation."
    else
      echo "Branch does not exist. Creating."
      pscale branch create ${{ secrets.PLANETSCALE_DATABASE_NAME }} ${{ env.PSCALE_BRANCH_NAME }} --wait
    fi

Notice that we first check if the branch exists. If it does, we do nothing. Otherwise, we create it and pass the --wait flag.

This is useful when running in CI, as the workflow may run multiple times and you'll want the branch ready if you are running schema migrations immediately after creating the branch.

Create a password for the branch

You can use pscale password create to generate credentials for your database branch.

- name: Generate password for branch
  env:
    PLANETSCALE_SERVICE_TOKEN_ID: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_ID }}
    PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
  run: |
    response=$(pscale password create ${{ secrets.PLANETSCALE_DATABASE_NAME }} ${{ env.PSCALE_BRANCH_NAME }} -f json)

    id=$(echo "$response" | jq -r '.id')
    host=$(echo "$response" | jq -r '.access_host_url')
    username=$(echo "$response" | jq -r '.username')
    password=$(echo "$response" | jq -r '.plain_text')
    ssl_mode="verify_identity"  # Assuming a default value for ssl_mode
    ssl_ca="/etc/ssl/certs/ca-certificates.crt"  # Assuming a default value for ssl_ca

    # Set the password ID, allows us to later delete it if wanted.
    echo "PASSWORD_ID=$id" >> $GITHUB_ENV

    # Create the DATABASE_URL
    database_url="mysql://$username:$password@$host/${{ secrets.PLANETSCALE_DATABASE_NAME }}?sslmode=$ssl_mode&sslca=$ssl_ca"
    echo "DATABASE_URL=$database_url" >> $GITHUB_ENV
    echo "::add-mask::$DATABASE_URL"
- name: Use the DATABASE_URL in a subsequent step
  run: |
    echo "Using DATABASE_URL: $DATABASE_URL"

This example shows creating the password and getting back a response in JSON. The JSON is then parsed to create a DATABASE_URL which can be used in later steps, such as using the branch as the database for a preview environment or to connect and run migrations that were included in the GitHub pull request.

Open a deploy request

You can use pscale deploy-request create to open a new deploy request from GitHub Actions. This can be useful after running migrations against a branch.

- name: Open DR if migrations
  env:
    PLANETSCALE_SERVICE_TOKEN_ID: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_ID }}
    PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
  run: pscale deploy-request create ${{ secrets.PLANETSCALE_DATABASE_NAME }} ${{ env.PSCALE_BRANCH_NAME }}

Get deploy request diff and comment on pull request

We can use pscale deploy-request diff to see the full schema diff of a deploy request.

This example is useful when combined with opening a deploy request for a git branch. You can then automatically comment the diff back to the GitHub pull request.

- name: Comment on PR
  env:
    PLANETSCALE_SERVICE_TOKEN_ID: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_ID }}
    PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
  run: |
    echo "Deploy request opened: https://app.planetscale.com/${{ secrets.PLANETSCALE_ORG_NAME }}/${{ secrets.PLANETSCALE_DATABASE_NAME }}/deploy-requests/${{ env.DEPLOY_REQUEST_NUMBER }}" >> migration-message.txt
    echo "" >> migration-message.txt
    echo "\`\`\`diff" >> migration-message.txt
    pscale deploy-request diff ${{ secrets.PLANETSCALE_DATABASE_NAME }} ${{ env.DEPLOY_REQUEST_NUMBER }}  -f json | jq -r '.[].raw' >> migration-message.txt
    echo "\`\`\`" >> migration-message.txt
- name: Comment PR - db migrated
  uses: thollander/actions-comment-pull-request@v2
  with:
    filePath: migration-message.txt

This writes the diff to the migration-message.txt file and then creates a comment on the pull request that triggered the workflow.

How to use the PlanetScale GitHub Actions

To get started using PlanetScale + GitHub Actions, see our full guide and complete page of examples here.