What is ngrx memoization and how does it work?
An example of an AI chatbot conversation about ngrx memoization in state management.
What is ngrx memoization and how does it work?
NgRx memoization is a technique used in state management to optimize performance by caching results of selector functions.
Why is memoization important in NgRx?
Memoization helps prevent unnecessary recalculations, improving the efficiency of state updates and reducing re-renders.
Can you give me an example of how to implement memoization in NgRx?
Sure! You can use the createSelector function from NgRx to create memoized selectors that only recompute when their inputs change.
Are there any drawbacks to using memoization?
Yes, while memoization can improve performance, it can also increase memory usage if not managed properly, especially with large state trees.
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