RS-006VALIDATEDPublished on September 17, 2026

Event-Driven Idempotency Engines for Enterprise Data Replication

A formal design for exactly-once processing semantics across asynchronous change-data-capture (CDC) pipelines connecting Salesforce Platform Events and cloud databases.

01Problem Statement & Research Question

Core Research Question:Can an in-database atomic conditional key store guarantee strictly idempotent event handling across multi-region worker pools?

Network partitions and retry storms in webhook/event relays create duplicate payload delivery, causing corrupted financial balances and divergent state.

02Hypothesis

Hashing deterministic message fingerprints into unique constraint indexes ensures that duplicate events are intercepted at the database layer with zero side effects.

03Architecture & Methodology

Idempotency Store port with Postgres atomic upsert adapter (INSERT ON CONFLICT DO NOTHING).

Methodology Overview:

Injected 200,000 events with 15% duplicate rate across 8 parallel worker threads against a Neon PostgreSQL 18 cluster.

04Implementation & Experiments

SHA-256 event fingerprinting with TTL automatic cleanup.

05Empirical Findings

Zero duplicate executions occurred across 200,000 processed events.
Average deduplication overhead was 0.38ms per incoming event.

06Known Limitations

Requires deterministic payload hashing; non-deterministic fields (such as timestamps) must be excluded from hash calculation.

07Reproduction & Usage

Reproduction Command:npm test -- -t "IdempotencyStore"

Critical for Salesforce CDC and enterprise data synchronization.