The article provides a comprehensive guide to managing database transactions in Python, covering deadlock prevention, isolation levels, concurrency handling, and performance optimization. It includes
practical examples using psycopg2 and SQLAlchemy libraries to implement robust transaction management strategies.
Reasons to Read -- Learn:
how to implement proper deadlock detection and handling in Python using psycopg2, including specific code examples for transaction retry mechanisms
how to manage different transaction isolation levels with SQLAlchemy, which helps prevent common issues like dirty reads and phantom reads
practical optimization techniques for database transactions, including implementing version-based optimistic locking and proper rollback strategies
publisher: Best coding practices – AI, Python, data bases, cloud computing, work flow and so on
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