Parallel Streams
Java Stream execution backed by parallel decomposition, typically using the common ForkJoinPool, to process independent operations concurrently.
Technical Context
Parallel streams can help only when the data source splits efficiently, operations are sufficiently expensive, side effects are controlled, and pool interference is acceptable. They can regress latency on small collections, blocking workloads, NUMA-unfriendly access, or already-saturated services.
Related Concepts
- Fork/Join Framework
- Stream API
- work stealing
- benchmarking