Mastering Concurrency Programming with Java 9 - Second Edition by Javier Fernandez Gonzalez

Key FeaturesImplement concurrent applications using the Java 9 Concurrency API and its new componentsImprove the performance of your applications and process more data at the same time, taking advantage of all of your resourcesConstruct real-world examples related to machine learning, data mining, natural language processing, and moreBook DescriptionConcurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs.The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9s concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications.The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM.What you will learnMaster the principles that every concurrent application must followSee how to parallelize a sequential algorithm to obtain better performance without data inconsistencies and deadlocksGet the most from the Java Concurrency API componentsSeparate the thread management from the rest of the application with the Executor componentExecute phased-based tasks in an efficient way with the Phaser componentsSolve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join frameworkFind out how to use parallel Streams and Reactive StreamsImplement the “map and reduce” and “map and collect” programming modelsControl the concurrent data structures and synchronization mechanisms provided by the Java Concurrency APIImplement efficient solutions for some actual problems such as data mining, machine learning, and moreAbout the AuthorJavier Fernandez Gonzalez is a software architect with almost 15 years of experience working with Java technologies. He has worked as a teacher, researcher, programmer, analyst, writer, and he now works as an architect in all types of projects related to Java, especially J2EE. As a teacher, has taken over 1,000 hours of training sessions in basic Java, J2EE, and the Struts framework. As a researcher, has worked in the field of information retrieval, developing applications for processing large amounts of data in Java, and he has participated in several journal articles and conference presentations as a coauthor. In recent years, has worked on developing J2EE web applications for various clients from different sectors (public administration, insurance, healthcare, transportation, and , many more). Currently, he works as a software architect. He is the author of Java 7 Concurrency Cookbook, Mastering Concurrency Programming with Java 8, First Edition, and Java 9 Concurrency Cookbook, Second Edition. Table of ContentsThe First Step – Concurrency Design PrinciplesWorking with basic elements – Threads and RunnablesManaging Lots of Threads – ExecutorsGetting the Maximum from ExecutorsGetting Data from the Tasks – The CallableRunning Tasks Divided into Phases – The Phaser ClassOptimizing Divide and Conquer Solutions – The Fork/Join FrameworkProcessing Massive Datasets with Parallel Streams – The Map and Reduce ModelProcessing Massive Datasets with Parallel Streams – The Map and Collect ModelAsynchronous Stream Processing – Reactive StreamsDiving into Concurrent Data Structures and Synchronization UtilitiesTesting and Monitoring Concurrent ApplicationsConcurrency in JVM – Clojure Groovy with Gpars library and Scala