How can I optimize parallel streams in Java?

How can I optimize parallel streams in Java?

To optimize parallel streams in Java, consider the following tips: 1. Use the right data structure, 2. Minimize the overhead of splitting tasks, 3. Tune the ForkJoinPool size, and 4. Avoid shared mutable state.

What data structures work best for parallel streams?

Data structures like ArrayList, HashMap, and concurrent collections such as ConcurrentHashMap are great for parallel streams due to their efficient access patterns.

How do I tune the ForkJoinPool size?

You can tune the ForkJoinPool size by setting the system property 'java.util.concurrent.ForkJoinPool.common.parallelism' to the desired level, which should ideally match the number of available processors.

Are there any common pitfalls to avoid?

Yes, common pitfalls include using too many small tasks, relying on shared mutable state, and not considering the overhead of parallelization for small datasets.