CI/CD and Hive CLI
This guide is a collection of features and capabilities you can configure with Hive, to integrate it with Continuous Integration (CI) Continuous Deployment (CD) setups.
Overview
The Hive CLI can be installed on any environment, including CI/CD environments.
If you are using a JavaScript/NodeJS project, you should install the
Hive CLI under devDependencies
of your project, and use it
directly with your preferred package manager (for example: yarn hive ...
or pnpm hive ...
).
If you are using a different runtime environment for your project, you should install the
Hive CLI binary and use it directly as a binary (hive ...
).
GitHub Check Suites
If you are using GitHub Actions, you can specify an additional flag to the Hive CLI: --github
.
If GitHub Integration is enabled for your organization, and
the
GitHub repository has access to the GitHub repository the action is running from
is active, you may specify an additional --github
flag to report the results back to GitHub as
Check Suite (for schema:check
and schema:publish
commands):
hive schema:publish path/to/schema.graphql --github
hive schema:check path/to/schema.graphql --github
GitHub Workflow for CI
The following workflow will run the check workflow for every Pull Request, and will associated the check results with the Pull Request.
on:
pull_request:
branches: [main]
jobs:
check:
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
- name: schema check
env:
# If you self-host your hive server:
HIVE_ENDPOINT: ${{ secrets.HIVE_ENDPOINT }}
run: |
curl -sSL https://graphql-hive.com/install.sh | sh
hive schema:check 'path/to/schema.graphql' \
--registry.accessToken '${{ secrets.HIVE_TOKEN }}' \
--github
GitHub Workflow for CD
The following workflow will run the publish the latest schema to the schema registry for every push
to main
branch.
on:
push:
branches: [main]
jobs:
publish:
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
- name: schema publish
env:
# If you self-host your hive server:
HIVE_ENDPOINT: ${{ secrets.HIVE_ENDPOINT }}
run: |
curl -sSL https://graphql-hive.com/install.sh | sh
hive schema:publish 'path/to/schema.graphql' \
--registry.accessToken '${{ secrets.HIVE_TOKEN }}' \
--github
Multi Environment Best Practices
By default each project has three targets: development
, staging
, and production
. You can
utilize these environments (or even add more), to model a multi environment/stage depployment
process.
For CI, run hive schema:check
, and for CD, run hive schema:publish
on the respective target for
that environment. Each target can be configured to use the usage data from other targets for
conditional breaking changes based on usage
data.
Example
Three branches:
Git Branch | Hive Target |
---|---|
main | development |
staging | staging |
production | production |
New features are developed on a branch that targets the main
branch. The hive schema:check
command is run against the development
target. conditional breaking changes are configured on
staging
and production
targets.
When the feature is ready for QA, the branch is merged into main
. The hive schema:publish
command is triggered by CD workflow, and the schema is published to the development
target.
When the feature is ready for staging, the main
branch is merged into staging
. The
hive schema:publish
command is triggered by the CD workflow, and the schema is published to the
staging
target.
When the feature is ready for production, the staging
branch is merged into production
. The
hive schema:publish
command is triggered by the CD workflow, and the schema published to the
production
target.