Speeding Up JSON Generation | Java 9 High Performance

Book Overview & Buying
Table Of Contents

Java 9 High Performance

By : Mayur Ramgir, Nick Samoylov

3 (2)

Buy this Book

Java 9 High Performance

3 (2)

By: Mayur Ramgir, Nick Samoylov

Buy this Book

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.

Free Chapter

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

Identifying Performance Bottlenecks

CPU infrastructure

Memory utilization

Database operations

I/O operations

Network operations

Summary

Learning How to Troubleshoot Code

Measuring performance

Performance checklist

Basic principles of troubleshooting

Importance of error handling

Analyzing thread dump

Analyzing heap dump

Summary

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

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

Optimizing Code with Microbenchmarking

The concept of microbenchmarking

Understanding the JMH

Why use microbenchmarking?

The benefits of using the JMH

Summary

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

Tools for Higher Productivity and Faster Application

The JShell tool usage

Ahead-of-Time (AOT)

Summary

Multithreading and Reactive Programming

Prerequisites

Thread pools

Monitoring threads

Sizing thread pool executors

Thread synchronization

Tuning JVM

Reactive programming

Summary

Microservices

Why microservices?

Building microservices

Container-less deployment

Self-contained microservices

In-container deployment

Summary

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

The JSON generation is based on the methods identified in the Java object modeling structure. It is able to create a dedicated set of data elements that are related to each other in a non-linear manner. There are two main JSON elements. One is the parsing and the second is the array generation. The JSON generation provides a way of communicating between different programming languages. It has a unique standardization, which allows programmers to really use it in the Java 9 platform and prepare programs that have the best cross-functionality and are ideal for use on mobile platforms.

In the next chapter we will learn about JShell and the Ahead-of-Time (AOT) compiler. We will learn about Read-Eval-Print Loop (REPL) tool, which is quite similar to other languages such as Scala, Ruby and Python.