Setup CD
Set up automatic updates for your Recce Cloud base sessions. Keep your data comparison baseline current every time you merge to main, with no manual work required.
Purpose
Automated Base Session Management eliminates manual baseline maintenance.
- Triggers: PR merge to main + scheduled updates
- Action: Auto-update base Recce session
- Benefit: Current comparison baseline for future PRs
Prerequisites
You need manifest.json
and catalog.json
files (dbt artifacts) for Recce Cloud. See Start Free with Cloud for instructions on preparing these files.
Implementation
1. Core Workflow
Create .github/workflows/cd-workflow.yml
:
name: Update Base Recce Session
on:
push:
branches: ["main"]
schedule:
- cron: "0 2 * * *" # Daily at 2 AM UTC
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}
cancel-in-progress: true
jobs:
update-base-session:
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
cache: "pip"
- name: Install dependencies
run: |
pip install -r requirements.txt
- name: Prepare dbt artifacts
run: |
# Install dbt packages
dbt deps
# Optional: Build tables to ensure they're materialized and updated
# dbt build --target prod
# Required: Generate artifacts (provides all we need)
dbt docs generate --target prod
env:
DBT_ENV_SECRET_KEY: ${{ secrets.DBT_ENV_SECRET_KEY }}
- name: Update Recce Cloud Base Session
uses: DataRecce/[email protected]
# This action automatically uploads artifacts to Recce Cloud
2. Artifact Preparation Options
Default: Fresh Build (shown in example above)
dbt docs generate
is required and provides the neededmanifest.json
andcatalog.json
artifacts.dbt build
is optional but ensures tables are materialized and updated.
Alternative Methods:
- External Download: Download from dbt Cloud, Paradime, or other platforms
- Pipeline Integration: Use existing dbt build workflows
3. Verification
Manual Trigger Test
- Go to Actions tab in your repository
- Select "Update Base Recce Session" workflow
- Click Run workflow button
- Monitor the run for successful completion
Verify Success
- ✅ Workflow completes without errors in Actions tab
- ✅ Base session updated in Recce Cloud dashboard
Next Steps
Setup CI to automatically validate PR changes against your updated base session. This completes your CI/CD pipeline by adding automated data validation for every pull request.