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LetsGit.IT / Categories / Java Answer A collection stores data; a stream describes a pipeline of operations (filter/map/reduce) to produce a result. Streams are typically single-use, and a common pitfall is side effects (mutating external state) inside `map/forEach`, which makes code harder to reason about.
List<String> activeNames = users.stream()
.filter(User::isActive)
.map(User::getName)
.toList();
Advanced answer Deep dive Expanding on the short answer — what usually matters in practice:
Context (tags): streams, collections, side-effects, functional JVM : memory (heap/stack), GC , and what drives latency.Contracts: equals/hashCode/toString, mutability and consequences. Performance: boxing, allocations, collections, inlining. Explain the "why", not just the "what" (intuition + consequences). Trade-offs: what you gain/lose (time, memory, complexity, risk). Edge cases: empty inputs, large inputs, invalid inputs, concurrency. Examples Here’s an additional example (building on the short answer):
List<String> activeNames = users.stream()
.filter(User::isActive)
.map(User::getName)
.toList();Common pitfalls Too generic: no concrete trade-offs or examples. Mixing average-case and worst-case (e.g., complexity). Ignoring constraints: memory, concurrency, network/disk costs. Interview follow-ups When would you choose an alternative and why? What production issues show up and how do you diagnose them?
How would you test edge cases? #immutability