I apologize for the misunderstanding earlier. Let’s focus on diagnosing why your custom state management solution is running slower than NGXS, despite appearing to have a simpler implementation. We’ll explore potential bottlenecks in your code, compare them with NGXS’s optimizations, and provide actionable recommendations to enhance performance.
- Potential Performance Bottlenecks in Your Custom Store
a. Usage of Immer’s produce Function
• Issue: While Immer simplifies immutable state updates, it introduces overhead by creating proxies and performing structural sharing. This can become a performance bottleneck, especially with frequent or large state updates.
• Impact: Each call to set involves produce, which can slow down state mutations, particularly in applications with complex or large state trees.
b. Local Storage Operations on Every State Update