database-operations

Database connections in Streamlit apps require caching to avoid recreating engines on every script rerun. Use SQLAlchemy with a cached engine and context-managed sessions to maintain persistent, efficient connections across Streamlit's execution model.

Standardized query patterns with context-managed SQLAlchemy sessions provide consistent, safe data access. Define reusable query functions that handle session lifecycle, error handling, and transaction boundaries rather than embedding raw SQL throughout your app.

Database migrations use Alembic to version schema changes and apply them safely across environments. Define migrations as code, track them in version control, and execute them in a controlled sequence to avoid data loss and maintain consistency.

Yes. SQLAlchemy with Streamlit supports full CRUD operations through structured patterns for connection management, query execution, and transaction handling. Combine cached engines, context-managed sessions, and error handling to build reliable data-driven Streamlit applications.

Implement error handling within context-managed sessions to catch connection failures, query errors, and constraint violations. Define transaction rollback logic and user-facing error messages to maintain data integrity and application stability across multiple environments.