Stream parallelStream = aList.parallelStream() įorkJoinPool myPool = new ForkJoinPool(10) If you know there are chances to have thread lock down condition, can we use our own Thread Executor for each parallel stream (rather than using internally provided).If you block all threads in a pool, other parallel operations will also starving for getting thread and potentially slow down all applications. The Stream API enables developers to create the parallel streams that can take advantage of multi-core architectures and enhance the performance of Java code. You are not going to get new thread pool for each parallel operation. Here is the key, all parallel streams use same thread pool (create one time) for all parallel operations.Why you need parallel? If there are blocking tasks involve in parallel operation like network calls, you may possibly consume all threads in wait state and may impact other parallel operations.Although these models made using streams effortless, they've also introduced efficiency concerns. Thus, models like MapReduce have emerged for easier stream handling. Do you have enough size of collation to do parallel operation? Parallel Streams in Java 8 Today, the Java Streams API is in extensive use, making Java more functional than ever.Parallelization is great feature with Java using streams and lambds and can be used to best use of our CPU cores to maximize the calculation.īut are we sure that we need parallel always, yes, think again?

Java parallel streams