When to Use a Parallel Stream in Java ?

Using a parallel stream in Java can significantly enhance the performance of a program by leveraging multiple cores of the CPU to perform parallel processing.

Here are some scenarios when using a parallel stream is beneficial:

1. Large Data Sets :
   Parallel streams are particularly effective when dealing with large collections of data. They can split the data into smaller chunks and process them in parallel, reducing the overall processing time.
2. Performance Improvement: If the task involves significant computation that can be effectively divided, using a parallel stream can offer a noticeable performance boost.
3. Stateless Operations :
   Operations performed on each element should not depend on the state of other elements. Parallel streams are suitable for stateless operations where the order of execution does not impact the result.
4. CPU-Intensive Tasks :
   Heavy Computation: When the operations are CPU-bound and each task is complex enough to warrant parallel execution, parallel streams can utilize the full power of the CPU cores.
5. Non-Interfering Operations :
   No Side Effects: The operations should not interfere with each other. For example, avoid using parallel streams if the tasks involve shared mutable state without proper synchronization.
6. Favorable ForkJoinPool Characteristics :
   Optimal ForkJoinPool Usage: When the default ForkJoinPool’s characteristics align well with the tasks at hand (e.g., task…