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Idempotency in API Design

Build reliable APIs with idempotency. From idempotency keys to retry handling to implementation patterns.

B
Bootspring Team
Engineering
May 20, 2023
6 min read

Idempotent operations produce the same result regardless of how many times they're called. This is essential for reliable APIs that handle retries and network failures.

Why Idempotency Matters#

Network Failures: - Request sent but response lost - Client retries not knowing if it succeeded - Without idempotency: duplicate charges, orders, etc. With Idempotency: - Client can safely retry - Server detects duplicate requests - Same result returned for repeated calls

HTTP Method Idempotency#

Naturally Idempotent: - GET: Read operations - PUT: Replace resource - DELETE: Remove resource - HEAD: Read headers - OPTIONS: Read options NOT Idempotent by Default: - POST: Create resource (needs idempotency key) - PATCH: May or may not be idempotent

Idempotency Keys#

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Payment Processing Example#

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Database-Level Idempotency#

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Optimistic Locking#

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Event Processing Idempotency#

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Retry Handling#

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Best Practices#

Implementation: ✓ Generate keys client-side (UUIDs) ✓ Include user context in key ✓ Set appropriate TTL (24-48 hours) ✓ Handle "processing" state Error Handling: ✓ Return same response for duplicates ✓ Handle parameter mismatches ✓ Log duplicate requests ✓ Clean up on failure Performance: ✓ Use fast storage (Redis) ✓ Index idempotency columns ✓ Set TTL to auto-cleanup ✓ Consider eventual consistency

Conclusion#

Idempotency is essential for reliable APIs. Use idempotency keys for non-idempotent operations, store responses for replay, and design your data models to handle duplicates gracefully. This enables safe client retries and improves system reliability.

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