Book Image

Java 9 High Performance

By : Mayur Ramgir, Nick Samoylov
Book Image

Java 9 High Performance

By: Mayur Ramgir, Nick Samoylov

Overview of this book

Finally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications. We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase. By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java.
Table of Contents (11 chapters)

I/O operations

This is another area that is important from the performance optimization point of view. If you need to read or write files to your server, you need to rely on Java’s I/O APIs. The I/O operations are resource intensive and may consume a large amount of processing time. This can turn into a big performance bottleneck, and hence, it is important to tune this area to improve the overall application performance.

Most Java developers still rely on the basic I/O APIs, which are more than adequate to perform any file related operations. However, they do have some performance issues, for example, InputStream.read() performs character-by-character reading or the method Reader.read() reads one character at a time. Then there are stream-related APIs. Most of them read or write one byte at a time, which contributes to performance problems as it takes a long time to go...