Payment State Replay

Overview

Payment State Replay is the controlled reprocessing of recorded payment events, commands, or messages to reproduce state, rebuild a projection, recover a consumer, or test behavior. The replay selects a bounded event stream and version, applies events in defined order to an isolated or prepared target, checkpoints progress, and validates the resulting state. The relationship with Payment State Persistence matters because one payment can appear as multiple requests, events, provider references, and ledger entries.

Its boundary with Payment Notification Event must remain explicit so related records do not collapse into one status. Operationally, the replay selects a bounded event stream and version, applies events in defined order to an isolated or prepared target, checkpoints progress, and validates the resulting state. The record should retain replay ID, source stream and range, event versions, target, mode, checkpoints, skipped or failed events, resulting state, approvals, and validation. Testing should cover success, rejection, timeout, duplicate delivery, partial completion, recovery, and the resulting accurate accounting records.

It should not automatically repeat external financial side effects; replaying history differs from retrying a payment submission.

Important risks include duplicate payouts or refunds, incompatible event versions, wrong ordering, missing events, replay into live consumers, state divergence, and uncontrolled resource load. Important failure modes include skipped states, stale status, duplicate execution, out-of-order events, late success after expiry, and disagreement between provider, blockchain, ledger, and customer-facing records.

Changes to Payment State Replay need controlled deployment and explicit ownership. Controls should reject invalid transitions, preserve event precedence, prevent weaker evidence from overwriting stronger evidence, and record the operator and reason for every forced change.