Java 8 Parallel Stream

Java 8 Parallel Stream

In Java 8, parallel streams were introduced as a new feature to support parallel processing of streams. Parallel streams allow you to process streams concurrently, which can provide significant performance benefits when working with large data sets.

A parallel stream is simply a stream that is processed in parallel, using multiple threads. When you create a parallel stream, the data is split into multiple chunks, which are processed concurrently by different threads. Once all the chunks have been processed, the results are combined to produce the final result.

To create a parallel stream in Java 8, you can simply call the parallel() method on a stream. For example:

List<String> strings = Arrays.asList("foo", "bar", "baz");
strings.parallelStream().forEach(System.out::println);

This will create a parallel stream from the list of strings, and print each string to the console. Because the stream is processed in parallel, the order of the output may be different each time you run the program.

Parallel streams can be used with any of the stream operations provided by the Java 8 API, such as map, filter, reduce, and collect. However, it's important to keep in mind that not all operations can be parallelized effectively. Operations that involve synchronization, such as forEachOrdered, may actually perform worse when run in parallel.

When working with parallel streams, it's important to keep in mind that parallelism introduces some overhead. Creating and managing threads can be expensive, so it's not always the case that using a parallel stream will result in faster performance. In general, parallel streams are most effective when processing large amounts of data, and when the operations being performed are computationally intensive.

Also read java stream here : https://explainjava.blogspot.com/2020/09/java-8-stream-javautilstream.html