What are some performance tips for using the Java Stream API?

What are some performance tips for using the Java Stream API?

To improve performance with the Java Stream API, consider using parallel streams for large datasets, minimizing intermediate operations, and using primitive streams when possible.

Can you explain how parallel streams work?

Parallel streams utilize multiple threads to process data concurrently, which can significantly speed up operations on large collections.

What are intermediate operations, and how do they affect performance?

Intermediate operations, like map and filter, create new streams and can be costly if used excessively. It's best to minimize them.

Are there any specific scenarios where I should avoid using streams?

Yes, avoid using streams for small datasets or when the overhead of stream creation outweighs the benefits of using them.