What are the performance implications of using parallel streams in Java?
Using parallel streams can improve performance by utilizing multiple CPU cores, but it also introduces overhead and potential issues like thread contention.
Can you explain the overhead involved in parallel streams?
The overhead includes the cost of managing multiple threads, splitting the data, and merging results, which can negate benefits for small datasets.
When should I avoid using parallel streams?
Avoid parallel streams for small datasets, tasks with significant side effects, or when the overhead outweighs the performance gains.
Are there any best practices for using parallel streams?
Yes, use parallel streams for large datasets, ensure thread safety, and profile performance to confirm benefits.
How do parallel streams compare to traditional threading?
Parallel streams abstract thread management, making it easier to write concurrent code, but traditional threading offers more control.
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