boxlang-caching

Implement distributed caching in BoxLang by provisioning cache regions across storage backends like Redis or Couchbase. This handles key management and distributed locking to ensure data coherence and quick access across multiple deployment instances.

Reduce database load by caching query results using cachePut and cacheGet operations. Storing retrieved data in memory or distributed cache regions minimizes repeated database queries, significantly accelerating web application response times.

BoxLang caching supports Redis and Couchbase for distributed environments. These dependencies act as multiple cache providers, enabling flexible storage options and maintaining consistency across complex deployment architectures.

Pattern-based cache invalidation maintains coherence by targeting and removing specific cache entries matching a defined pattern. This method, combined with cache warming and distributed locking, ensures quick data access without serving stale content.

You can use BoxLang caching to store and retrieve user session data efficiently. By provisioning cache regions in memory or distributed backends, the system ensures fast session access and reduces backend storage pressure.

Cache provisioning supports in-memory, Redis, Couchbase, JDBC, and filesystem cache regions. These multiple cache providers offer flexible storage options to match various deployment environments and scaling requirements.