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Module 10: Functional Programming and Streams

Lesson focus

Parallel Streams Basics

Understand when parallelism helps and how to avoid pitfalls.

Parallel streams split work across the common fork-join pool—beneficial for CPU-bound operations on large datasets.

Avoid parallelizing operations with side effects, ordering requirements, or blocking IO.

Tune the fork-join pool or supply custom pools for predictable performance.

Lesson quiz

When is a parallel stream a poor choice?

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