Creating a new DB connection per Flask request is expensive; use connection pooling to reuse connections, reduce overhead, and improve performance. With Flask-SQLAlchemy, choose static pools (fixed SQLALCHEMY_POOL_SIZE) or dynamic pools that scale via SQLALCHEMY_POOL_MIN_SIZE, SQLALCHEMY_POOL_PRE_PREFERRED_SIZE, and SQLALCHEMY_POOL_MAX_SIZE—simple config tweaks that yield faster, more efficient, high-traffic apps.
An in-depth guide to leveraging Flask extensions via Flask-SQLAlchemy: explains the ORM’s benefits, multi-database support (SQLite/PostgreSQL/MySQL), declarative models, lazy loading, and step-by-step install/configure examples, plus CRUD snippets and best practices (transactional commits, efficient queries) to build scalable, reusable, data-driven Flask applications.
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