Virtual Threads Structured Concurrency And Scoped Values
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Virtual Threads, Structured Concurrency, and Scoped Values
Discover the exciting new APIs introduced by Java’s Project Loom. This quick guide covers all the essential concepts the Java developer needs in order to understand virtual threads, structured concurrency, and scoped values. Authors Ron Veen and David Vlijmincx clearly explain the superiority of virtual threads, introduced in Java 21, over the traditional Java threads of the past 25 years. Then they dive into how structured concurrency streamlines interactions by treating related threads as a unified unit of work, akin to the impact of structured programming on regular programming. From there, the authors explore the third Project Loom API and scoped values, clarifying their advantages over regular ThreadLocals and providing efficient usage insights. The book concludes with an exploration of common scheduling strategies. By the end of this book, you will have a solid understanding of the concepts behind Project Loom and will be able to immediately apply this knowledge to your own code. You Will Discover what virtual threads are, why they were created, and how to use them in your code Gain insight into how concurrency improves the observability of code Write your own StructuredTaskScopes tailored to your needs Understand why you should replace ThreadLocals with Scoped Values Know the different strategies for multithreaded computer programs Who This Book is For Java developers of any level. This knowledge is so fundamental to staying relevant in the Java job market that every developer needs to understand it for their career development.
Java for Programmers
The professional programmer's Deitel® guide to Java with integrated generative AI Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity. Features: GenAI Prompt Engineering, API Calls, 600 GenAI Exercises ChatGPT, Gemini, Claude, Perplexity Multimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, Video Generics: Collections, Classes, Methods Functional Programming: Lambdas & Streams JavaFX: GUI, Graphics, Multimedia Concurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-Core Database: JDBC, SQL, SQLite Java Platform Module System (JPMS) Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web Services JShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at [email protected] Join the Deitel social media communities deitel.com/linkedin facebook.com/DeitelFan instagram.com/DeitelFan x.com/deitel youtube.com/DeitelTV mastodon.social/@deitel For source code and updates, visit: deitel.com/javafp5 Reviewer Comments "The future of Java programming is here, and this new edition of Deitel is leading the charge! By embracing genAI head-on, the authors are potentially revolutionizing programming education. Through its integrative approach to the use and study of genAI, this book is positioned to be the leading book in modern Java and its applications. Indeed, I expect that it should be widely adopted by instructors who want to ingrain in their students an appreciation for the critical role that Java will play in data science, machine learning, artificial intelligence, and cybersecurity. "The book's innovative and forward-thinking use of genAI facilitates reader engagement and inspires readers to think critically about the benefits and limitations of AI as a programming aid. Chapter 19 could become everyone's favorite new Java book chapter--the generative AI API-based code examples are interesting and fun. "All audiences of this book should read the Preface--there's so much to get excited about! It demonstrates, with refreshing transparency and honesty, how much love and care went into the reinvention of an already outstanding Java book by bringing it into a new frontier of what it means to be a programmer in today's world. Bravo! Your Preface statement: 'GenAI has created an ultra-high-level programming capability that will leverage your Java learning experience and ability to produce robust, top-quality Java software quickly, conveniently and economically.' is a great conclusion to the Preface intro--really helps justify the use of genAI!" --Brian Canada, Professor of Computational Science, University of South Carolina Beaufort "After reading your whole book, it was fun to read the Preface that wraps everything up at a high level. You have done some amazing work here, and I'm glad to have been a small part of it as a reviewer! I especially appreciate how difficult it must have been to make sure everything was as up to date as possible with the speed at which things change in this field, and the deftness with which you incorporated all the focus on GenAI and data science that's in this book." --Emily Navarro, Ph.D., Continuing Lecturer, Department of Informatics, University of California, Irvine "The generative AI exercises are awesome and reflect the way modern developers work! They are fun and let the reader explore and learn about AI by using AI--how meta. This allows readers to expand their knowledge and get a feel for the AIs' code-related capabilities." --Jeanne Boyarsky, CodeRanch, Java Champion Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. (Note: eBooks are 4-color and print books are black and white.)
Optimizing Cloud Native Java
Author: Benjamin J. Evans
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2024-10-10
Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach. In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects. With this book, you will: Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacks Examine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking Understand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environments Apply emerging observability approaches to obtain deep understanding of cloud native applications Use Java language performance techniques including concurrent and distributed forms