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When to Use a Parallel Stream in Java | Baeldung

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Java 8 introduced the Stream API that makes it easy to iterate over collections as streams of data. It’s also very easy to create streams that execute in parallel and make use of multiple processor cores. We might think that it’s always faster to divide the work on more cores. But that is often not the case. In this tutorial, we’ll explore the differences between sequential and parallel streams. We’ll first look at the default fork-join pool used by parallel streams. We’ll also consider the performance implications of using a parallel stream, including memory locality and splitting/merging costs. Finally, we’ll recommend when it makes sense to covert a sequential stream into a parallel one. A stream in Java is simply a wrapper around a data source, allowing us to perform bulk operations on the data in a convenient way. It doesn’t store data or make any changes to the underlying data source. Rather, it adds support for functional-style operations on data pipelines. By default, any strea

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