
SQLAlchemy applications can connect to Aurora DSQL by using UUID primary keys, defining relationships with explicit `primaryjoin` and `foreign()` annotations instead of `ForeignKey()` constraints, and configuring the engine in AUTOCOMMIT mode to avoid unsupported SAVEPOINT operations.


<div><p>This article demonstrates building Python applications with SQLAlchemy and Amazon Aurora DSQL, a serverless PostgreSQL-compatible database.</p><ul><li>Use UUID primary keys with server_default=text("gen_random_uuid()") for distributed workloads</li><li>Define relationships with relationship() using primaryjoin and foreign() instead of ForeignKey()</li><li>Configure SQLAlchemy engine in AUTOCOMMIT mode to avoid unsupported SAVEPOINT operations</li><li>Authenticate via AWS IAM using Aurora DSQL Python Connector with short-lived tokens</li><li>Implement retry logic with exponential backoff for optimistic concurrency control conflicts</li><li>Sample veterinary clinic CLI app demonstrates CRUD operations and eager loading patterns</li><li>Pool connections with recycle=3300 to refresh before Aurora DSQL's 1-hour limit</li></ul><p>The post provides production-ready patterns for connecting SQLAlchemy to Aurora DSQL, including code examples, prerequisites, and step-by-step deployment instructions.</p></div>


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