Optimizing Java Parallel Streams: Overcoming flatMap() Limitations (Part 1)

This video discusses the ex35 case study in my GitHub repository, which focuses on Java parallel streams. The purpose of this video is to show how overcome the limitations of flatMap() in parallel streams by exploring alternatives like map()/reduce(Stream::concat) and mapMulti(). The case study examines both reference and primitive types in Java streams, comparing their programming and performance. Part 1 of this three-part less walks through the main driver program, which configures and runs various tests. These tests reveal that mapMulti() outperforms the other approach, while flatMap() performs particularly poor due to its limited parallelism. I also discuss a "parallel checker" method that determines whether code runs sequentially or in parallel based on thread IDs and map entries.