<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Parallel-Streams on Devops Monk</title><link>https://blog.devops-monk.com/tags/parallel-streams/</link><description>Recent content in Parallel-Streams on Devops Monk</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 04 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.devops-monk.com/tags/parallel-streams/index.xml" rel="self" type="application/rss+xml"/><item><title>Parallel Streams: ForkJoinPool, Spliterators, and When NOT to Parallelize</title><link>https://blog.devops-monk.com/tutorials/java8/parallel-streams/</link><pubDate>Mon, 04 May 2026 00:00:00 +0000</pubDate><guid>https://blog.devops-monk.com/tutorials/java8/parallel-streams/</guid><description>How Parallel Streams Work Parallel streams are one of Java 8&amp;rsquo;s most misused features. It is tempting to add .parallel() to any slow stream pipeline, but the performance characteristics are counterintuitive: parallel can make things slower for small data, and adding blocking I/O inside a parallel stream can stall the entire JVM. This article explains the mechanics, the cases where parallel genuinely helps, and the patterns to avoid.
A parallel stream splits its source into sub-sequences, processes each sub-sequence on a separate thread, and merges the results.</description></item></channel></rss>