Java Performance: The Definitive Guide

Java Performance: The Definitive Guide

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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. Youa€™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 performanceFor example, using the JPA EclipseLink reference implementation, statement reuse is enabled by adding the following property to the ... Table 11-2. Seconds required to insert data for 128 stocks via JPA Programming mode Time required No batching, no statement pool ... 3. Batching JPA updates can be done declaratively (in the persisa€tence.xml file), or programmatically (by calling the flush() method).

Title:Java Performance: The Definitive Guide
Author: Scott Oaks
Publisher:"O'Reilly Media, Inc." - 2014-04-10

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