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.

Related Content you might be interested in

Current Title:

Small book image
Java 9 High Performance
Mayur Ramgir | Nick Samoylov
Nov, 2017 | 398 pages
Small book image
Mastering Java 9
Allahbaksh Asadullah | Dr Edward Lavieri | Peter Verhas | Srinivas Padmanabhuni
Oct, 2017 | 456 pages
Small book image
Learn Java 12 Programming
Nick Samoylov
Apr, 2019 | 690 pages
Small book image
Mastering Java 11
Dr Edward Lavieri
Sep, 2018 | 462 pages
Table of Contents (11 chapters)
Free Chapter
1
Learning Java 9 Underlying Performance Improvements
Learning Java 9 Underlying Performance Improvements
Introducing the new features of Java 9
Modular development and its impact
String operations performance
Storing interned strings in CDS archives
Concurrency performance
Compiler improvements
Security manager improvements
Graphics rasterizers
Summary
2
Identifying Performance Bottlenecks
Identifying Performance Bottlenecks
CPU infrastructure
Memory utilization
Database operations
I/O operations
Network operations
Summary
3
Learning How to Troubleshoot Code
Learning How to Troubleshoot Code
Measuring performance
Performance checklist
Basic principles of troubleshooting
Importance of error handling
Analyzing thread dump
Analyzing heap dump
Summary
4
Learning How to Use Profiling Tools
Learning How to Use Profiling Tools
Introducing profiling
Why a developer should use a profiling tool
The art of profiling
The different types of Java profiling tool
Summary
5
Understanding Garbage Collection and Making Use of It
Understanding Garbage Collection and Making Use of It
Understanding the Java 9 garbage collector for top optimization
GC in Java
Parallelism
The new G1 collector
Summary
6
Optimizing Code with Microbenchmarking
Optimizing Code with Microbenchmarking
The concept of microbenchmarking
Understanding the JMH
Why use microbenchmarking?
The benefits of using the JMH
Summary
7
Speeding Up JSON Generation
Speeding Up JSON Generation
A transparent understanding of JSON in Java
A brief history of JSON and examples
Understanding JSON generation
Understanding the tree model
Converting CSV to JSON
Converting Excel to JSON
Understanding value trees
The benefits of using JSON
Summary
8
Tools for Higher Productivity and Faster Application
Tools for Higher Productivity and Faster Application
The JShell tool usage
Ahead-of-Time (AOT)
Summary
9
Multithreading and Reactive Programming
Multithreading and Reactive Programming
Prerequisites
Thread pools
Monitoring threads
Sizing thread pool executors
Thread synchronization
Tuning JVM
Reactive programming
Summary
10
Microservices
Microservices
Why microservices?
Building microservices
Container-less deployment
Self-contained microservices
In-container deployment
Summary
11
Making Use of New APIs to Improve Your Code
Making Use of New APIs to Improve Your Code
Filtering streams
Stack-walking APIs
Convenience factory methods for collections
CompletableFuture in support of asynchronous processing
Stream API improvements
Summary

Understanding JSON generation

JSON generation is required if you are looking to test your API or see how JavaScript is able to process a particular set of data. JSON generation has the capacity to either capture the live data from a source, or it may also be set up using a random generator that provides object values, without having to do the actual data heavy lifting.

JSON generation is lightweight and easily able to produce large chunks of information. It also allows the setting up of unique identifiers and index values, which can be used to store distinct sets of information. Next, we will discuss some of the JSON options that we get in the Javax.json package.

What is Javax.json?

The Javax.json package is a collection of...

Previous Section
End of Section 4
Next Section