Last Updated: June 6, 2026
A parallel stream splits its source into chunks, runs the pipeline on multiple threads, and combines the results. The API looks almost identical to a sequential stream, but the execution model is different enough that the wrong call can make code slower, wrong, or both. This lesson covers how parallel streams actually run, when they help, when they hurt, and the pitfalls that turn correct sequential code into broken parallel code.