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Enhancing LRU Cache with Configurable Data Persistence
- In this article, we explore how to extend an in-memory cache with configurable data persistence.
- The goal is to design a flexible and scalable caching system that decouples storage mechanisms from the caching logic.
- The article leverages the Adapter and Strategy patterns to create an extensible system that allows seamless integration of databases or services as needed.
- A shared API abstraction, akin to ORM systems, ensures storage such as localStorage, IndexedDB, or even a remote database can work interchangeably with minimal code changes.
- The cache is agnostic of storage details, and there is a flexible runtime selection of storage backend using the Strategy pattern.
- Additionally, the article demonstrates best practices for singleton cache, async initialization, and lazy loading.
- This design is robust and is available in the form of an npm package—adev-lru.
- The article provides scope for further enhancements, such as optimizing sync logic for better performance.
- The full source code for the adev-lru repository is available on GitHub.
- The author welcomes contributions to make this caching system even better.
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