Why it matters

Streams make Java code shorter and clearer for typical data-processing tasks. What used to be a 10-line loop becomes a 2-line pipeline. Modern Java code uses streams extensively.

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The architecture

Building a stream: collections have .stream() methods. Arrays via Arrays.stream(). Files via Files.lines(). Generator methods produce infinite streams.

Intermediate operations: filter, map, flatMap, sorted, distinct, limit. Each returns a new stream.

Terminal operations: forEach, collect, reduce, count, findFirst. Triggers pipeline execution.

Stream pipelineSourcelist, array, fileIntermediate opsfilter, map, sortedTerminal opcollect, reduceLazy: intermediate ops just describe the pipeline; terminal ops execute it
Stream pipeline flow.
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How it works end to end

Collectors: toList, toSet, toMap, groupingBy, joining. These aggregate stream contents into standard results.

Parallel streams: .parallelStream() distributes work across a ForkJoinPool. Careful — overhead makes them slower for small streams; contention limits scalability.

Optional: methods like findFirst return Optional<T> to represent absence explicitly, avoiding null.