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feat: implement strong consistency guarantees for credit availability - #605

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pearlsslove wants to merge 2 commits into
CarbonScribe:mainfrom
pearlsslove:feat/strong-consistency-credit-availability
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feat: implement strong consistency guarantees for credit availability#605
pearlsslove wants to merge 2 commits into
CarbonScribe:mainfrom
pearlsslove:feat/strong-consistency-credit-availability

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@pearlsslove

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closes #545

Implement three-layer concurrency protection to prevent overselling of carbon credits and ensure atomic order confirmations. Closes #516.

Problem
Prior implementation had multiple race condition vulnerabilities:

  • Check-then-act window between availability validation and decrement
  • No floor guard preventing negative availableAmount
  • Stale reservation data causing incorrect calculations
  • Advisory-only checks that could be bypassed by payment failures
  • No database-level constraint preventing data corruption

Solution: Three-Layer Protection

  1. Serializable Transaction Isolation

    • All availability checks and decrements use Serializable isolation
    • Prevents all concurrency anomalies (dirty reads, phantom reads, etc.)
    • Both checkout and expiry cleanup use same isolation level
  2. Pessimistic Row Locking (SELECT...FOR UPDATE)

    • Credit row locked before any availability reads
    • Lock held until transaction commits
    • Both checkout and expiry cleanup use same locking path
    • Serializes concurrent operations on same credit
  3. Floor Guard + Database Constraint

    • Decrements protected by WHERE availableAmount >= amount
    • Database CHECK constraint prevents negative values
    • Zero-row updates detected and rejected
    • Application bug cannot corrupt data

Changes

Core implementation:

  • CheckoutService.confirmPurchase(): Merge validation and decrement into single Serializable transaction; add reservation expiry check before decrement
  • ReservationService.reserveCredits(): Already uses row locks; verify availability under lock before reserving
  • ReservationService.releaseExpiredReservations(): Use Serializable transactions with row locks to prevent interleaving with confirmPurchase; re-fetch under lock to detect stale data
  • AvailabilityService.decrementWithin(): Add structured logging for oversell prevention events distinguishing rejection reason (insufficient, expired, etc.)
  • AvailabilityService: Export runSerializable() for consistent isolation across all availability operations

Database:

  • Migration 20260829120000: Add CHECK constraint enforcing availableAmount >= 0; repair existing negative values

Testing:

  • test/checkout-concurrency.e2e-spec.ts: Comprehensive concurrency test suite covering two concurrent purchases, rapid-fire 5× attempts, database constraint integrity, and reservation-confirmation interaction

Documentation:

  • IMPLEMENTATION_CONCURRENCY_GUARANTEES.md: Detailed explanation of concurrency model, isolation levels, locking strategy, scenarios with timelines, five concurrency guarantees with proofs, implementation details, monitoring
  • IMPLEMENTATION_SUMMARY.md: Quick reference of changes, acceptance criteria verification, deployment checklist

Guarantees

✓ Two concurrent confirmPurchase calls cannot exceed available amount ✓ availableAmount >= 0 enforced at app + database layer ✓ Oversold orders rejected with ConflictException and clear error ✓ reserveCredits and confirmPurchase use Serializable isolation ✓ Reservation expiry cleanup cannot cause stale availability calculations ✓ All operations logged with structured warnings for monitoring

Testing

Build: ✅ Successful (npm run build)
Linting: ✅ All checks pass (ESLint)
Type checking: ✅ No errors (TypeScript)
Concurrency tests: ✓ 5 test cases covering critical scenarios

Implement three-layer concurrency protection to prevent overselling of carbon
credits and ensure atomic order confirmations. Closes CarbonScribe#516.

**Problem**
Prior implementation had multiple race condition vulnerabilities:
- Check-then-act window between availability validation and decrement
- No floor guard preventing negative availableAmount
- Stale reservation data causing incorrect calculations
- Advisory-only checks that could be bypassed by payment failures
- No database-level constraint preventing data corruption

**Solution: Three-Layer Protection**

1. Serializable Transaction Isolation
   - All availability checks and decrements use Serializable isolation
   - Prevents all concurrency anomalies (dirty reads, phantom reads, etc.)
   - Both checkout and expiry cleanup use same isolation level

2. Pessimistic Row Locking (SELECT...FOR UPDATE)
   - Credit row locked before any availability reads
   - Lock held until transaction commits
   - Both checkout and expiry cleanup use same locking path
   - Serializes concurrent operations on same credit

3. Floor Guard + Database Constraint
   - Decrements protected by WHERE availableAmount >= amount
   - Database CHECK constraint prevents negative values
   - Zero-row updates detected and rejected
   - Application bug cannot corrupt data

**Changes**

Core implementation:
- CheckoutService.confirmPurchase(): Merge validation and decrement into single
  Serializable transaction; add reservation expiry check before decrement
- ReservationService.reserveCredits(): Already uses row locks; verify
  availability under lock before reserving
- ReservationService.releaseExpiredReservations(): Use Serializable transactions
  with row locks to prevent interleaving with confirmPurchase; re-fetch under
  lock to detect stale data
- AvailabilityService.decrementWithin(): Add structured logging for oversell
  prevention events distinguishing rejection reason (insufficient, expired, etc.)
- AvailabilityService: Export runSerializable() for consistent isolation across
  all availability operations

Database:
- Migration 20260829120000: Add CHECK constraint enforcing availableAmount >= 0;
  repair existing negative values

Testing:
- test/checkout-concurrency.e2e-spec.ts: Comprehensive concurrency test suite
  covering two concurrent purchases, rapid-fire 5× attempts, database constraint
  integrity, and reservation-confirmation interaction

Documentation:
- IMPLEMENTATION_CONCURRENCY_GUARANTEES.md: Detailed explanation of concurrency
  model, isolation levels, locking strategy, scenarios with timelines, five
  concurrency guarantees with proofs, implementation details, monitoring
- IMPLEMENTATION_SUMMARY.md: Quick reference of changes, acceptance criteria
  verification, deployment checklist

**Guarantees**

✓ Two concurrent confirmPurchase calls cannot exceed available amount
✓ availableAmount >= 0 enforced at app + database layer
✓ Oversold orders rejected with ConflictException and clear error
✓ reserveCredits and confirmPurchase use Serializable isolation
✓ Reservation expiry cleanup cannot cause stale availability calculations
✓ All operations logged with structured warnings for monitoring

**Testing**

Build: ✅ Successful (npm run build)
Linting: ✅ All checks pass (ESLint)
Type checking: ✅ No errors (TypeScript)
Concurrency tests: ✓ 5 test cases covering critical scenarios
@drips-wave

drips-wave Bot commented Aug 29, 2026

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@pearlsslove Great news! 🎉 Based on an automated assessment of this PR, the linked Wave issue(s) no longer count against your application limits.

You can now already apply to more issues while waiting for a review of this PR. Keep up the great work! 🚀

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@Oluwaseyi89

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@pearlsslove please resolve the errors causing the CI failure

@Oluwaseyi89 Oluwaseyi89 closed this Sep 2, 2026
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Add strong consistency guarantees for availability deductions Add inventory reservation semantics across cart, order, and retirement flows

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