Create aws.yml #41
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: List S3 Objects - AWS | |
| on: | |
| pull_request: | |
| env: | |
| AWS_REGION: eu-west-1 | |
| AWS_ROLE_ARN: "arn:aws:iam::719197435995:role/DbtSparkTestingActions" | |
| S3_BUCKET: "dbt-spark-iceberg/github-integration-testing" | |
| DBT_PROFILES_DIR: ./ci | |
| permissions: | |
| id-token: write | |
| contents: read | |
| jobs: | |
| list_s3_objects: | |
| name: list_s3_objects | |
| runs-on: ubuntu-latest | |
| defaults: | |
| run: | |
| working-directory: .github/workflows/spark_deployment | |
| steps: | |
| - name: Check out repository | |
| uses: actions/checkout@v4 | |
| - name: Configure AWS Credentials | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| role-to-assume: ${{ env.AWS_ROLE_ARN }} | |
| aws-region: ${{ env.AWS_REGION }} | |
| mask-aws-account-id: true | |
| mask-aws-role-arn: true | |
| role-session-name: GithubActionsSession | |
| role-duration-seconds: 3600 | |
| output-credentials: true | |
| - name: Verify AWS credentials and S3 access | |
| run: | | |
| aws sts get-caller-identity | |
| aws s3 ls s3://${{ env.S3_BUCKET }} --summarize | |
| # Test S3 write access | |
| echo "test" > test.txt | |
| aws s3 cp test.txt s3://${{ env.S3_BUCKET }}/test.txt | |
| aws s3 rm s3://${{ env.S3_BUCKET }}/test.txt | |
| - name: Install Docker Compose | |
| run: | | |
| sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose | |
| sudo chmod +x /usr/local/bin/docker-compose | |
| docker-compose --version | |
| - name: Configure Docker environment | |
| run: | | |
| # Export AWS credentials from assumed role | |
| export AWS_ACCESS_KEY_ID=$(aws configure get aws_access_key_id) | |
| export AWS_SECRET_ACCESS_KEY=$(aws configure get aws_secret_access_key) | |
| export AWS_SESSION_TOKEN=$(aws configure get aws_session_token) | |
| # Create Docker environment file with proper escaping | |
| echo "AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}" > .env | |
| echo "AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}" > .env | |
| echo "AWS_SESSION_TOKEN=${AWS_SESSION_TOKEN}" >> .env | |
| echo "AWS_REGION=${AWS_REGION}" >> .env | |
| - name: Configure Docker credentials | |
| uses: docker/login-action@v2 | |
| with: | |
| username: ${{ secrets.DOCKERHUB_SNOWPLOWCI_READ_USERNAME }} | |
| password: ${{ secrets.DOCKERHUB_SNOWPLOWCI_READ_PASSWORD }} | |
| - name: Clean up Docker | |
| run: | | |
| docker system prune -af | |
| docker volume prune -f | |
| - name: Build and start Spark cluster | |
| id: spark-startup | |
| run: | | |
| docker-compose up -d | |
| echo "Waiting for Spark services to start..." | |
| sleep 30 # Initial wait | |
| # Get container ID and store it | |
| CONTAINER_NAME=$(docker ps --format '{{.Names}}' | grep thrift-server) | |
| echo "container_name=${CONTAINER_NAME}" >> $GITHUB_OUTPUT | |
| # Wait for Spark to be fully initialized | |
| for i in {1..30}; do | |
| if docker logs ${CONTAINER_NAME} 2>&1 | grep -q "HiveThriftServer2 started"; then | |
| echo "Spark initialized successfully" | |
| break | |
| fi | |
| echo "Waiting for Spark initialization... attempt $i" | |
| sleep 3 | |
| done | |
| # Verify Spark is running | |
| docker ps | |
| docker logs ${CONTAINER_NAME} | |
| - name: Python setup | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.8.x" | |
| - name: Install spark dependencies | |
| run: | | |
| pip install --upgrade pip wheel setuptools | |
| pip install -Iv "dbt-spark[PyHive]"==1.7.0 --upgrade | |
| - name: Verify Spark cluster and connection | |
| run: | | |
| docker ps | |
| docker logs ${{ steps.spark-startup.outputs.container_name }} | |
| docker exec ${{ steps.spark-startup.outputs.container_name }} beeline -u "jdbc:hive2://localhost:10000" -e "show databases;" | |
| - name: Run DBT Debug | |
| working-directory: ./integration_tests | |
| run: | | |
| # Get service logs before attempting debug | |
| docker logs ${{ steps.spark-startup.outputs.container_name }} | |
| dbt deps | |
| dbt debug --target spark_iceberg | |
| - name: Clean up before tests | |
| working-directory: ./integration_tests | |
| run: dbt run-operation post_ci_cleanup --target spark_iceberg | |
| - name: Run tests | |
| working-directory: ./integration_tests | |
| run: | | |
| set -e | |
| ./.scripts/integration_test.sh -d spark_iceberg | |
| - name: Capture Spark logs on failure | |
| if: failure() | |
| run: | | |
| echo "Capturing Spark logs..." | |
| docker logs ${{ steps.spark-startup.outputs.container_name }} > spark_logs.txt | |
| cat spark_logs.txt | |
| echo "Capturing Spark UI details..." | |
| curl -v http://localhost:4040/api/v1/applications > spark_ui.txt || true | |
| cat spark_ui.txt | |
| - name: Upload logs as artifact | |
| if: failure() | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: spark-logs | |
| path: | | |
| spark_logs.txt | |
| spark_ui.txt | |
| compression-level: 6 # Moderate compression | |
| retention-days: 5 # Keep logs for 5 days | |
| - name: Cleanup | |
| if: always() | |
| run: | | |
| docker-compose down | |
| docker system prune -af | |
| rm -f .env |