Optimizing Java Parallel Streams: Overcoming flatMap() Limitations (Part 2)

This video continues our explorations of methods for optimizing Java Parallel Streams, particularly focusing on the limitations of flatMap(). Part 2 of this three-part video offers two alternative techniques for enhancing Java parallel streams based on reference types: (1) map()/reduce(Stream::concat) and (2) mapMulti(). While flatMap() results in sequential processing, map()/reduce(Stream::concat) and mapMulti() provide much more scalable parallel solutions. I show the results from benchmarks that underscore and quantify how these alternative methods yield significant performance gains when applied to larger data sets, effectively overcoming the limitations of flatMap() for parallel streams.