Java 9 Revealed: For Early Adoption and Migration
Book information
Description
Explore the new Java 9 modules, SDK, JDK, JVM, JShell and more in this comprehensive book that covers what’s new in Java 9 and how to use these new features. Java 9 Revealed is for experienced Java programmers looking to migrate to Java 9. Author Kishori Sharan begins by covering how to develop Java applications using the new module system introduced in Java 9 and how to use the JShell tool in Java 9 for prototyping, compiling and testing. The book provides extensive coverage of new Java 9 features, such as the new layout of the modular JDK/JRE runtime image, new convenience factory methods for creating collections, the new spin-wait hints introduced to improve performance of spin loops in your code, and the new Desktop API for implementing platform-specific desktop features. Along the way you will also learn how to use the Reactive Streams API in Java 9 and, most importantly, this book will show you the breaking changes in Java 9. What You'll LearnHow JShell facilitates rapid development, code evaluation, and testingDiscover what is new in the Process APIInspect a thread’s stack with the Stack-Walking APIUse the jlink tool to create a custom runtime imageWork with HTML5 Javadoc and use the new search feature in JavadocLearn how to use new methods and collectors in the Streams APILearn how to create a custom logger to log messages from platform classes and how to use JVM logsLearn about new methods in the Optional class and how to use themLearn how to compare arrays and slices of arraysLearn how to use the enhanced try-with-resources blocksMake your object deserialization more secure by using object deserialization filters Who This Book Is For Experienced Java programmers and developers.
Similar books
Java 9 Recipes: A Problem-Solution Approach
2017 · PDF
Pro Hadoop Data Analytics Designing and Building Big Data Systems using the Hadoop Ecosystem
2017 · EPUB
Advances in Data Mining. Applications and Theoretical Aspects : 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings
2017 · PDF
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
2017 · PDF
Interpreting LISP: Programming and Data Structures
2017 · PDF
Python Unit Test Automation : Practical Techniques for Python Developers and Testers
2017 · PDF
C# and XML Primer
2017 · PDF
Einführung in UML: Analyse und Entwurf von Software
2016 · PDF