In the context of modern REST<\/a> and GRAPHQL<\/a> architectures, an API<\/a> transaction represents a sequence of operations that are treated as a single unit of work. These transactions ensure data integrity by adhering to ACID<\/a> properties: Atomicity, Consistency, Isolation, and Durability.<\/p> A primary challenge in distributed systems is managing DATABASE<\/a> state across multiple ENDPOINT<\/a> calls. Implementing IDEMPOTENCY<\/a> is crucial to prevent duplicate processing during network failures. According to MDN Web Docs<\/a>, an idempotent operation is one that has no additional effect if it is called more than once with the same input parameters.<\/p> Transactional APIs often use a two-phase commit protocol or a saga pattern in MICROSERVICES<\/a> to maintain eventual consistency. For example, the Stripe API documentation<\/a> highlights the importance of using idempotency keys to safely retry requests without performing the same operation twice.<\/p> Developers must choose between various strategies to handle concurrent updates and failure modes. Common techniques include:<\/p> For more detailed specifications on transaction management and its theoretical foundations, refer to the Wikipedia entry on Database Transactions<\/a>.<\/p>Core Principles<\/h2>
Implementation Strategies<\/h2>