Java streams performance and optimization
summary
Streams often run substantially slower than equivalent loops when misused: 3x performance loss appears in examples where textbook functional patterns and short-circuiting (e.g. short-circuiting (limit)) confuse the optimizer. Profiling with flame graphs and careful benchmarking that accounts for JIT warmup exposes where the JIT helps and where it can't. Parallelizing can recover speed for some pipelines but adds surprising overheads; simplified pipelines or hand-written loops frequently out-perform naïve stream pipelines.
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