Java性能权威指南 (影印版)

内容概要

奥克斯（Scott Oaks），是Oracle公司的架构师，主要负责Oracle中间件软件的性能。他在1987年被Sun Microsystems公司雇用成为一名Java的传播者，并在2001年加入了该公司的Java性能组，这也是他现在的关注重点。Scott编写了O’Reilly出版社的多本有关Java安全、Java线程和Jini方面的书籍。

书籍目录

Preface

1.Introduction

A Brief Outline

Platforms and Conventions

JVM Tuning Flags

The Complete Performance Story

Write Better Algorithms

Write Less Code

Oh Go Ahead，Prematurely Optimize

Look Elsewhere： The Database Is Always the Bottleneck

Optimize for the Common Case

Summary

2.An Approach to Performance Testing

Test a Real Application

Microbenchmarks

Macrobenchmarks

Mesobenchmarks

Common Code Examples

Understand Throughput，Batching，and Response Time

Elapsed Time（Batch）Measurements

Throughput Measurements

Response Time Tests

Understand Variability

Test Early，Test Often

Summary

3.A Java Performance Toolbox

Operating System Tools and Analysis

CPU Usage

The CPU Run Queue

Disk Usage

Network Usage

Java Monitoring Tools

Basic VM Information

Thread Information

Class Information

Live GC Analysis

Heap Dump Postprocessing

Profiling Tools

Sampling Profilers

Instrumented Profilers

Blocking Methods and Thread Timelines

Native Profilers

Java Mission Control

Java Flight Recorder

Enabling JFR

Selecting JFR Events

Summary

4.Working with the JIT Compiler

Just—in—Time Compilers： An Overyiew

Hot Spot Compilation

Basic Tunings： Client or Server（or Both）

Optimizing Startup

Optimizing Batch Operations

Optimizing Long—Running Applications

Java and JIT Compiler Versions

Intermediate Tunings for the Compiler

Tuning the Code Cache

Compilation Thresholds

Inspecting the Compilation Process

Advanced Compiler Tunings

Compilation Threads

Inlining

Escape Analysis

Deoptimization

Not Entrant Code

Deoptimizing Zombie Code

Tiered Compilation Levels

Summary

5.An Introduction to Garbage Collection

Garbage Collection Overview

Generational Garbage Collectors

GC Algorithms

Choosing a GC Algorithm

Basic GC Tuning

Sizing the Heap

Sizing the Generations

Sizing Permgen and Metaspace

Controlling Parallelism

Adaptive Sizing

GC Tools

Summary

6.Garbage Collection Algorithms

Understanding the Throughput Collector

Adaptive and Static Heap Size Tuning

Understanding the CMS Collector

Tuning to Solve Concurrent Mode Failures

Tuning CMS for Permgen

Incremental CM S

Understanding the Gl Collector

Tuning Gl

Advanced Tunings

Tenuring and Survivor Spaces

Allocating Large Objects

AggressiveHeap

Full Control Over Heap Size

Summary

7.Heap Memory Best Practices

Heap Analysis

Heap Histograms

Heap Dumps

Out of Memory Errors

Using Less Memory

Reducing Object Size

Lazy Initialization

Immutable and Canonical Objects

String Interning

Object Lifecycle Management

Object Reuse

Weak，Soft，and Other References

Summary

8.Native Memory Best Practices

Footprint

Measuring Footprint

Minimizing Footprint

Native NIO Buffers

Native Memory Tracking

JVM Tunings for the Operating System

Large Pages

Compressed oops

Summary

9.Threading and Synchronization Performance

Thread Pools and ThreadPoolExecutors

Setting the Maximum Number of Threads

Setting the Minimum Number of Threads

Thread Pool Task Sizes

Sizing a ThreadPoolExecutor

The ForkloinPool

Automatic Parallelization

Thread Synchronization

Costs of Synchronization

Avoiding Synchronization

False Sharing

JVM Thread Tunings

Tuning Thread Stack Sizes

Biased Locking

Lock Spinning

Thread Priorities

Monitoring Threads and Locks

Thread Visibility

Blocked Thread Visibility

Summary

10.Java Enterprise Edition Performance

Basic Web Container Performance

HTTP Session State

Thread Pools

Enterprise Java Session Beans

Tuning EJB Pools

Tuning EJB Caches

Local and Remote Instances

XML and JSON Processing

Data Size

An Overview of Parsing and Marshalling

Choosing a Parser

XML Validation

Document Models

Java Object Models

Object Serialization

Transient Fields

Overriding Default Serialization

Compressing Serialized Data

Keeping Track of Duplicate Objects

Java EE Networking APIs

Sizing Data Transfers

Summary

11.Database Performance Best Practices

JDBC

JDBC Drivers

Prepared Statements and Statement Pooling

JDBC Connection Pools

Transactions

Result Set Processing

JPA

Transaction Handling

Optimizing JPA Writes

Optimizing JPA Reads

JPA Caching

JPA Read—Only Entities

Summary

12.Java SE API Tips

Buffered I／O

Classloading

Random Numbers

Java Native Interface

Exceptions

String Performance

Logging

Java Collections API

Synchronized Versus Unsynchronized

Collection Sizing

Collections and Memory Efficiency

AggressiveOpts

Alternate Implementations

Miscellaneous Flags

Lambdas and Anonymous Classes

Lambda and Anonymous Classloading

Stream and Filter Performance

Lazy Traversal

Summary

A.Summary of Tuning Flags

Index

作者简介

《Java性能权威指南(影印版)(英文版)》中你将深入掌握包括Java应用性能，使用Java虚拟机（JVM）和Java平台以及语言和API方面的知识。通过这本综合指南，开发人员和性能工程师等也能够学到多种用来改进Java 7和Java 8应用程序性能的特性、工具和处理方法。

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