What are the common pitfalls of using immutable data?

What are the common pitfalls of using immutable data?

Some common pitfalls include performance issues, increased memory usage, and complexity in state management.

Can you explain how performance issues arise with immutable data?

Performance issues can occur because every change creates a new copy of the data, which can be costly in terms of time and memory.

What about memory usage? Is it really a concern?

Yes, it can be a concern. Since immutable data structures create new copies, they can lead to higher memory consumption, especially with large datasets.

How can I mitigate these pitfalls in my application?

You can use techniques like structural sharing, lazy evaluation, or consider using mutable data structures when performance is critical.