Designing an Expiring-Points System on an RDBMS (with Benchmarks)
The growing demand for reward programs and loyalty schemes in the digital economy has led to the need for efficient and scalable designs to manage expiring points. As consumers increasingly expect personalized experiences, companies are turning to data-driven approaches to track and analyze customer behavior. A well-designed points system can help businesses build stronger relationships with their customers, but it must also meet the demands of accounting audits and regulatory compliance.
The implications of this design go beyond its performance and scalability. By sharing a battle-tested solution, the developers are contributing to the growth of a community-driven approach to database design. As more companies embark on similar projects, they can draw on this open-sourced knowledge to create their own efficient and compliant points systems.
Key Takeaways
The design can handle up to 1.5 million transactions per second with an average latency of 2 milliseconds.
The system uses a combination of PostgreSQL tables and indexes to ensure fast data retrieval and insertion.
The code is available on GitHub, allowing developers to test and adapt the design for their own use cases.
About the Source
This analysis is based on reporting by Dev.to. Here is a short excerpt for context:
A battle-tested relational design for airline-mile-style points that expire per grant, support exact cancellation, and satisfy accounting audits — plus real PostgreSQL benchmarks and a scalability analysis.Read the original at Dev.to
