Java Streams Intermediate Operations filter and flatMap











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This video focuses on two Java Stream intermediate operations: filter() and flatMap(). While filter() tests elements against a predicate and outputs a new stream with matching elements, flatMap() replaces each element with the contents of a mapped stream, effectively flattening it. It's important to recognize that flatMap() enforces sequential processing even in parallel streams, which can be a performance bottleneck. To work around this limitation, I show how to use map() followed by reduce(Stream.concat) and orElse(Stream.empty()) to enable parallel processing in a Java Stream. • All the code shown in this video is available in open-source form from http://github.com/douglascraigschmidt....

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