What is the maximum number of files that ForkJoinPool can process simultaneously?

ForkJoinPool does not directly limit the number of files processed simultaneously. Instead, it manages the number of concurrently executing tasks based on the number of threads in the pool.

• By default, the pool size is equal to the number of available processor cores (Runtime.getRuntime().availableProcessors()).
• Each task (e.g., processing a file) can be broken down into subtasks and executed in parallel.
• The maximum number of actively running tasks is approximately equal to the number of threads in the pool.

If more files need to be processed than there are threads, tasks are queued and executed as threads become available.

Thus, the maximum number of files processed simultaneously is the number of threads in the ForkJoinPool, not a fixed number of files. To increase parallelism, you can create a ForkJoinPool with more threads, but this depends on system resources.