Learn how a write-through local cache boosts performance and consistency in high-volume data streams while reducing database load.

Real-time data processing systems often struggle with balancing performance and data consistency when handling high volumes of transactions. This article explores how a write-through local cache can optimize performance.

Introduction to Write-Through Caches

A write-through cache is a caching strategy where data is written to both the cache and the backing store simultaneously. This approach ensures that the cache always contains the most recent data while maintaining consistency with the underlying data store.

In distributed systems processing event streams, write-through caches can significantly reduce latency and database load by localizing data access patterns. Unlike write-back caching (which delays updates to the backing store) or read-through caching (which only populates on read operations), write-through caching provides stronger consistency guarantees while still offering performance benefits.

The Entity-Signal Pattern

Before diving into implementation details, let's understand the data model we're working with:

• EntityIDs: Unique identifiers for items in the system (e ...