Java性能权威指南(影印版)
目 录内容简介
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 Alw…
查看完整
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 Alw…
查看完整
目 录内容简介
Java 技术具有卓越的通用性、高效性、平台移植性和安全性,广泛应用于个人PC、数据中心、游戏控制台、科学超级计算机、移动电话和互联网,同时拥有全球*的开发者专业社群。在全球云计算和移动互联网的产业环境下,Java更具备了显著优势和广阔前景。本书适合Java程序员以及对Java语言感兴趣的学习者。
目 录内容简介
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 CompilersrAn Overview
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
……
5.An Introduction to Garbage Collection
6.Garbage Collection Algorithms
7.Heap Memory Best Practkes
8.Native Memory Best Practices
9.Threading and Synchronization Performance
10.Java Enterprise Edition Performance
11.Database Performance Best Practices
12.Java SE API Tips
A.Summary ofTuning Flags
Index
^ 收 起
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 CompilersrAn Overview
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
……
5.An Introduction to Garbage Collection
6.Garbage Collection Algorithms
7.Heap Memory Best Practkes
8.Native Memory Best Practices
9.Threading and Synchronization Performance
10.Java Enterprise Edition Performance
11.Database Performance Best Practices
12.Java SE API Tips
A.Summary ofTuning Flags
Index
^ 收 起
目 录内容简介
Java 技术具有卓越的通用性、高效性、平台移植性和安全性,广泛应用于个人PC、数据中心、游戏控制台、科学超级计算机、移动电话和互联网,同时拥有全球*的开发者专业社群。在全球云计算和移动互联网的产业环境下,Java更具备了显著优势和广阔前景。本书适合Java程序员以及对Java语言感兴趣的学习者。
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