Update Airflow configuration to integrate with ClickHouse DWH instead of
PostgreSQL training database. Changes include:
- Switch Airflow dependencies from PostgreSQL to ClickHouse connector
- Update docker-compose to use ClickHouse connection and correct Dockerfile
- Refactor airflow/requirements.txt to include only essential packages
- Add DAGs directory for ETL pipeline orchestration
- Update documentation to reflect Airflow integration and access credentials
- Adjust service dependencies to wait for ClickHouse startup
Add Apache Airflow infrastructure with webserver, scheduler, and metadata
database to enable DAG-based pipeline orchestration. Includes optimized
requirements file and Docker configuration for Airflow 2.9.3.
Add Apache Superset for data visualization to the docker-compose setup.
The custom Dockerfile installs additional tools and the clickhouse-connect
driver. The service is configured with health check, persistent volumes,
and environment variables.
Fix network definition name from 'ch_replicated' to 'cs_dwh' to match
service references. Comment out hardcoded container names to allow
Docker to generate unique names automatically and avoid conflicts.
ddadmin