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implement-optimistic-concurrency-control

Implement optimistic concurrency control with version identity, conditional writes, conflict semantics, retries, merge policy, and user recovery. Use when concurrent updates must not silently overwrite one another.

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protosphinx/sphinxstack
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29 de julho de 2026 às 13:55
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implement-optimistic-concurrency-control
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description
Implement optimistic concurrency control with version identity, conditional writes, conflict semantics, retries, merge policy, and user recovery. Use when concurrent updates must not silently overwrite one another.
# implement-optimistic-concurrency-control ## When to use - Use where contention is bounded and lost updates are unacceptable. - Do not automatically retry noncommutative or externally side-effecting updates. ## Preconditions - Define entity, invariants, version source, operations, conflict rate, merge authority, and clients. ## Procedure 1. Choose monotonic version, ETag, compare value, or database-native token. 2. Return the version with every readable representation. 3. Require the expected version in each mutation and update atomically. 4. Return a structured conflict with current version and safe reconciliation data. 5. Retry only operations proven idempotent and commutative. 6. Test simultaneous create, update, delete, batch, stale cache, and side effects. ## Failure plan - Route semantic conflicts to explicit user or domain resolution. ## Worked example Two editors change a policy; the second write receives a conflict rather than erasing the first. ## Done - A concurrency implementation records version contract, atomic update, conflict response, retry, merge, and telemetry - Simultaneous, stale, delete, batch, idempotency, side-effect, cache, and user-recovery tests verify correctness
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