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Java Performance: The Definitive Guide, by Scott Oaks
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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 testing
- Use JDK tools to collect data on how a Java application is performing
- Understand the advantages and disadvantages of using a JIT compiler
- Tune JVM garbage collectors to affect programs as little as possible
- Use techniques to manage heap memory and JVM native memory
- Maximize Java threading and synchronization performance features
- Tackle performance issues in Java EE and Java SE APIs
- Improve Java-driven database application performance
- Sales Rank: #175060 in Books
- Published on: 2014-05-01
- Released on: 2014-04-21
- Original language: English
- Number of items: 1
- Dimensions: 9.06" h x .96" w x 7.01" l, 1.48 pounds
- Binding: Paperback
- 426 pages
About the Author
Scott Oaks is an architect at Oracle Corporation, where he works on the performance of Oracle’s middleware software. Prior to joining Oracle, he worked for years at Sun Microsystems, specializing in many disparate technologies from the SunOS kernel to network programming and RPCs to windows systems and the OPEN LOOK Virtual Window Manager. In 1996, Scott became a Java evangelist for Sun and in 2001 joined their Java Performance group--which has been his primary focus ever since. Scott also authored O’Reilly’s Java Security, Java Threads, JXTA in a Nutshell, and Jini in a Nutshell titles.
Most helpful customer reviews
8 of 10 people found the following review helpful.
A must buy for every Java developer struggling with performance or lacking understanding of how JVM works
By Tomasz Nurkiewicz
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. We start with assembly and JIT, through GC, heap and native memory, to reach chapters about threading, thread pools and synchronization. There are many, many examples of proper and broken use of multi-threading, including benchmarks - present throughout whole book as well. We also learn how to monitor and tune threads. Later we learn about somewhat related Java EE topics, including XML parsing performance (expect plenty of SAX/StAX/DOM benchmarks!), JSON and Java serialization. Also HTTP sessions and servlets are well covered, with amazing benchmarks how bloated session or incorrectly tuned thread pools affect performance. I was really amazed to see how increasing heap can degrade (!) performance. Last chapter, "Java SE API Tips" is surprisingly interesting, with many good advices about collections, streams and lambdas introduced in Java 8, class loading, I/O, etc. I think you see the overall picture by now - we start almost from hardware level to reach JDBC/JPA and JDK level in the end. Similarly to first chapter, still every concept is accompanied with microbenchmark.
Because this not-so-long book still manages to cover wide range of subjects, I can honestly recommend it to beginners and more experienced Java developers (the former should probably start reading it from back to front). Some aspects are covered only briefly, but in general it was a very enjoyable and thought-provoking lecture. A must buy for every Java developer struggling with performance or lacking understanding of how JVM works. Highly recommended.
3 of 3 people found the following review helpful.
Generally a nice book and a good thing to use as references ...
By JavaSoftwareDeveloper
Generally a nice book and a good thing to use as references though I guess JVM documentation can do the same thing. The take-out of this book is that it can guide you into situation when you might want to think about some JVM param tuning. The author is also quite honest in his writing at the beginning. The best and most applicable way to improve software performance is at the algorithm and coding level.
Some readers here may dissect his examples further, but I think the author has already cautioned us at the beginning about the gain from tuning JVM parameters. Defaults JVM parameters will be good in the vast majority of cases. Overall, I would like to give a 3.5, but since I can't do that. I think 3 is a fair score.
5 of 6 people found the following review helpful.
Java Performance: The Penultimate Guide
By Eric Jain
Found this book more practical (and up to date) than Java Performance and Java Performance Tuning. Good explanations of how the different garbage collection algorithms work, how a JIT compiler can optimize code, threading-related issues etc.
The author also shows how to use the tools that ship with Java to see what's going on. Tools like Caliper or JMH for doing valid micro-benchmarks, and JMeter or Gatling for load testing aren't covered, but should at least have been mentioned.
Java Enterprise Performance might need a separate book: Some topics are covered well, but others, like the discussion of optimizing web pages are a bit lacking (read Even Faster Web Sites instead), or missing (no mention of alternatives for serializing data like Protocol Buffers or Avro, or any discussion of "NoSQL"-specific issues).
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