Download Java Performance

Java Performance: The Definitive Guide Paperback – May 1, 2014

Author: Visit Amazon's Scott Oaks Page | Language: English | ISBN: 1449358454 | Format: PDF, EPUB

Download Java Performance: The Definitive Guide – May 1, 2014
Direct download links available Download Java Performance: The Definitive Guide Paperback – May 1, 2014 from mediafire, rapishare, and mirror link Coding and testing are often considered separate areas of expertise. In this comprehensive guide, author and Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the JVM, as well as the tunings likely to help its performance.You⠠ll gain in-depth knowledge of Java application performance, using the Java Virtual Machine (JVM) and the Java platform, including the language and API. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform.Apply four principles for obtaining the best results from performance testingUse JDK tools to collect data on how a Java application is performingUnderstand the advantages and disadvantages of using a JIT compilerTune JVM garbage collectors to affect programs as little as possibleUse techniques to manage heap memory and JVM native memoryMaximize Java threading and synchronization performance featuresTackle performance issues in Java EE and Java SE APIsImprove Java-driven database application performance
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• Paperback: 426 pages
• Publisher: O'Reilly Media; 1 edition (May 1, 2014)
• Language: English
• ISBN-10: 1449358454
• ISBN-13: 978-1449358457
• Product Dimensions: 7 x 0.9 x 9.2 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #164,017 in Books (See Top 100 in Books)

Program efficiency has not been a major priority for most programmers in recent years as hardware improvements have increased computational speeds and storage capacities have grown tremendously. Why code for efficiency when the hardware will improve and make execution times better and memory requirements less taxing? This has been true not just of Java programmers but of programmers in general, such that fine tuning code to run more efficiently is becoming a lost art. “Java Performance, the Definitive Guide”, in the context of Java programming in particular, brings concepts of efficient programming back to the attention of programmers and offers a lot of solid guidance for developers.

This book is broken down into 12 chapters as follows: 1. Introduction, 2. An Approach to Performance Testing, 3. A Java Performance Toolbox, 4. Working with the JIT Compiler, 5. An Introduction to Garbage Collection, 6. Garbage Collection Algorithms, 7. Heap Memory Best Practices, 8. Native Memory Best Practices, 9. Threading and Synchronization Performance, 10. Java Enterprise Edition Performance, 11. Database Performance Best Practices, and finally 12. Java SE API Tips. The book concludes with an index of tuning flags.

It should be obvious, just from the chapter titles, that this book is more than just a tutorial on how to run a profiler or swap out a bubble sort and in drop in a quick sort. This book covers in detail a wide range of places where your Java code can be carefully tuned to run faster and more efficiently.

I am especially impressed with the coverage of garbage collection. I am no Java guru though I can cobble together an application when called upon to do so, so my understanding of Java’s garbage collection facility has been limited up to this point.

Java Performance: The Definitive Guide is the best Java book I read this year. In about 400 pages Scott Oaks touches every aspect of Java-based applications, from core terminology and methodologies, through tooling, JIT, garbage collection, threading etc., to reach high-level topics, such as Java EE, JDBC/JPA, Java 8 and even... JavaScript and CSS compression. But let's go through this book chapter by chapter.

First the author explains common terms like what is a microbenchmark, measuring throughput versus response time, etc. Surprisingly few sections are devoted solely to statistics and interpretation of inherently varying benchmark results. Oaks goes as far as briefly explaining Student's t-test - important tool in measuring correctness of tests. I found that part very enjoyable (and way too short), but it's just about enough for ordinary purposes. Now it's time to get our hands dirty. Before we start exploring Java performance, author goes through various tool, both available out-of-the-box in JDK and proprietary. A lot is said about different types of profilers - and why they don't show the full picture.

JIT (just-in-time) compiler turns out to be one of the most important tools bringing performance to the JVM. First "real" chapter goes into great details of how JIT works in different modes, how to monitor and tune it. I learnt a lot already, but the best is yet to come. Obviously garbage collection is a major concern, thus Oaks devotes two full chapters to explain all popular GC algorithms. Besides pure description, expect strengths and weaknesses of every algorithm as well as unique tuning options. These two chapters are enough to buy this book, but there's plenty more.

Further into the book, topics are becoming more high-level.

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