The Fork/Join Framework in Java
Introduction An ExecutorService runs independent tasks well, but it gives you no help when one big task should split itself into smaller ones and combine their results. If a pool…
Introduction An ExecutorService runs independent tasks well, but it gives you no help when one big task should split itself into smaller ones and combine their results. If a pool…
Introduction A plain Future lets you start work on another thread, but the only way to use the result is to block on get(). Real programs chain steps ("load the…
Introduction When you hand a task to a thread pool, you rarely want to forget about it. You want its result, or at least to know whether it failed. Since…
Introduction Creating a Thread by hand works for a quick example, but it does not scale. Every new Thread(...).start() call pays the cost of allocating a new OS thread, and…
Introduction Once you have created multiple threads in your Java application, they need ways to talk to each other. A background thread loading data should be able to tell the…
Introduction Once you start running multiple threads, you quickly run into a fundamental problem: threads share memory, and without any coordination, they can read and write the same data at…
Introduction Every Java thread follows a well-defined path from the moment it is created to the moment it finishes. Understanding that path — the states a thread moves through and…
Learn how to create a thread in Java with essential techniques for concurrent programming and best practices in this comprehensive guide.
Understand the spliterator in Java streams: learn how it enhances performance and enables effective parallel execution.
Explore the advantages of parallel stream and how it enhances performance through concurrent processing with minimal code changes.