Java Performance: The Definitive Guide: Getting the Most Out of Your CodeCoding 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.
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Contents
Chapter 1 Introduction | 1 |
Chapter 2 An Approach to Performance Testing | 11 |
Chapter 3 A Java Performance Toolbox | 37 |
Chapter 4 Working with the JIT Compiler | 73 |
Chapter 5 An Introduction to Garbage Collection | 105 |
Chapter 6 Garbage Collection Algorithms | 133 |
Chapter 7 Heap Memory Best Practices | 177 |
Chapter 8 Native Memory Best Practices | 223 |
Other editions - View all
Java Performance: The Definitive Guide: Getting the Most Out of Your Code Scott Oaks Limited preview - 2014 |
Common terms and phrases
allocated application server application threads array background threads BigDecimal buffer bytes calculation Chapter classloader client compiler code cache collection classes configuration CPU usage create database default value enabled entity example executed faster flag full GC garbage collector GC algorithms GC cycles GC log HashMap heap dump implementation indefinite reference initial interface Java EE Java performance JAXB jcmd JDBC driver JSON lazy initialization load lock loop machine maximum metaspace method microbenchmark native memory number of threads object pools operating system optimizations option output parser performance permgen query queue Quick Summary request reuse seconds secs serialization server compiler servlet sizes soft references specified stack String survivor spaces synchronization Table tasks thread pool throughput collector tiered compilation TLAB transaction tuning volatile variable weak reference young collection