Core Challenge
In microservice architectures, a single business operation may involve data changes across multiple services. Traditional ACID transactions cannot span services, requiring distributed transaction solutions to ensure data consistency.
Pattern Comparison
Saga: Decomposes long transactions into a series of local transactions, each with a compensating action. Suitable for long-running processes (e.g., order creation). TCC (Try-Confirm-Cancel): Each participant implements three interfaces, ideal for short transactions requiring strong consistency (e.g., payment deduction). Local Message Table: Ensures atomicity of business operations and message sending through local transactions, suitable for async scenarios.
Practical Advice
Prefer eventual consistency patterns to avoid strong consistency performance overhead. Consider the Seata framework to simplify distributed transaction development.
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