【实例简介】
java性能监控，想深入jvm的同学可以下载哦，良心推荐。还推荐system perfrmance不错的教程
OREILLY
Java performance The Definitive guide
Coding and testing are often considered separate areas of expertise. In this
book, 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
Gain in-depth knowledge of Java application performance, using the
Java Virtual Machine (vm) and the Java platform, including the language
and APl. With this comprehensive guide, developers and performance
engineers alike will learn a variety of features, tools, and processes for
mproving the way Java 7 and 8 applications perform
Apply four principles for obtaining the best results from
performance testing
a Use jdK tools to collect data on how a Java application is
perTorming
a Understand the advantages and disadvantages of using a JIT
compiler
a Tune JVM garbage collectors to affect programs as little as possible
a Use techniques to manage heap memory and JVM native memory
a Maximize Java threading and synchronization performance
features
a Tackle per formance issues in Java EE and Java SE APls
Improve Java-driven database application performance
Scott oaks is an architect at oracle corporation where he works on the perfor
mance of Oracle's middleware software employed by sun microsystems in 1987
he became Suns Java evangelist and in 2001 joined their Java Per formance
group, which is now his primary focus. Scott has written O'reilly books on Java
Security, Java Threads, and Jin
PROGRAMMING/JAVA
口口
Twitter: oreillymedia
facebook. com/oreilly
US$449
CAN$47.99
ISBN:978-1-449-35845-7
54499
9781449135845
Java performances
The definitive guide
Scott oaks
Beijing· Cambridge.mham·Kh· Sebastopol. TokyoOREILLY
Java performance: the definitive guide
by scott oaks
Copyright C Scott Oaks. All rights reserved
Printed in the United States of america
Published by o reilly media, InC., 1005 Gravenstein Highway North, Sebastopol, CA 95472
OReilly books may be purchased for educational,business, or sales promotional use. Online editions are
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Editor: Meghan blanchette
Indexer: Judith McConville
Production Editor: Kristen Brown
Cover Designer: Karen Montgomery
Copyeditor: Becca Freed
Interior Designer: David Futato
Proofreader: Charles roumeliotis
strator: Rebecca demarest
April
First edition
Revision History for the First Edition:
-04-09 First release
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trademarks of O Reilly Media, Inc
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trademarks. Where those designations appear in this book, and O Reilly Media, Inc was aware ofa trademark
claim, the designations have been printed in caps or initial caps
While every precaution has been taken in the preparation of this book, the publisher and author assume no
responsibility for errors or omissions, or for damages resulting from the use of the information contained
herein
ISBN:978-1-449-35845-7
Table of contents
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
22455678
Look Elsewhere: The Database Is always the bottleneck
Optimize for the Common Case
ummary
10
2. An Approach to Performance Testing
11
Test a Real application
11
Microbenchmarks
Macrobenchmarks
16
Mesobenchmarks
18
Common Code examples
20
Understand Throughput, Batching, and Response Time
24
Elapsed Time(Batch) Measurements
24
Throughput Measurements
25
Response Time Tests
26
Understand variability
29
Test early, Test Often
33
Summary
36
3. A Java performance toolbox
,37
Operating system Tools and analysis
37
CPU USage
38
The CPU Run Queue
41
Disk usage
43
Network Usage
Java Monitoring Tools
46
Basic vm information
Thread information
50
Class Information
51
Live gC analysis
51
Heap Dump Postprocessing
51
Profiling Tools
51
Sampling Profilers
52
Instrumented profilers
54
Blocking Methods and Thread Timelines
55
Native Profilers
ava mission control
Java Flight Recorder
60
Enabling
JFR
Selecting FR Events
Summary
72
4. Working with the JIT Compiler..............
Just-in-Time Compilers: An Overview
73
Hot Spot Compilation
75
Basic Tunings: Client or Server (or Both)
Optimizing Startup
Optimizing batch Operations
80
Optimizing Long-Running Applications
81
Java and JIT Compiler versions
82
Intermediate Tunings for the Compiler
85
Tuning the Code Cache
85
Compilation Thresholds
87
Inspectin
g
the Compilation Process
90
Advanced Compiler Tunings
94
Compilation Threads
94
Inlining
96
E
A
nalySiS
97
Deoptimization
8
Not entrant code
98
Deoptimizing Zombie Code
101
Tiered Compilation Levels
101
Table of contents
ummary
103
5. An Introduction to Garbage collection
105
Garbage Collection Overview
105
Generational Garbage Collectors
107
GC Algorithms
109
Choosing a gC algorithm
113
Basic Gc tuning
119
Sizing the Heap
119
Sizing the generations
122
Sizing permgen and metaspace
124
Controlling Parallelism
126
Adaptive Sizing
127
GC Tools
128
Summary
131
6. Garbage collection algorithms....................... 133
Understanding the Throughput Collector
133
Adaptive and static heap size tuning
136
Understanding the CMs Collector
140
Tuning to Solve Concurrent Mode Failures
Tuning CMS for Permgen
148
Incremental CMs
149
Understanding the Gl Collector
150
Tuning GI
157
Advanced tunings
159
Tenuring and Survivor Spaces
159
Allocating Large Objects
163
AggressiveHeap
171
Full Control Over Heap Size
173
Summary
174
7. Heap memory best practices
177
Heap analysis
177
Heap Histograms
178
Heap dumps
179
Out of Memory errors
184
g
188
Reducing Object Size
188
Lazy initialization
191
Immutable and Canonical objects
196
String interning
g
198
Table of content
Object Lifecycle management
202
Object reuse
202
Weak, Soft, and Other References
208
Summary
221
8. Native Memory Best Practices
223
Footprint
223
Measuring Footprint
224
Minimizing footprint
225
Native NIO Buffers
226
Native Memory Tracking
227
JVM Tunings for the Operating System
230
Large pages
230
C
compressed oops
234
Summary
236
9. Threading and Synchronization Performance................. 237
Thread pools and Thread Poolexecutors
237
Setting the maximum Number of Threads
238
Setting the Minimum Number of Threads
242
Thread Pool Task sizes
243
Sizing a ThreadPoolExecutor
244
The ForkJoin Pool
246
Automatic Parallelization
252
Thread Synchronization
254
Costs of Synchronization
254
Avoiding synchronization
259
False Sharing
262
JVM Thread Tunings
267
Tuning Thread Stack Sizes
267
Biased Locking
268
Lock Spinning
268
Thread Priorities
269
Monitoring Threads and Locks
270
Thread visibility
270
Blocked Thread visibility
271
ummary
275
10. Java Enterprise Edition Performance
,277
Basic Web container performance
277
Http Session State
280
Thread pools
283
ⅵi| Table of contents
Enterprise Java Session Beans
283
Tuning ejB pools
283
Tuning EJB Caches
286
Local and remote instances
288
XML and jSoN Processing
289
Data size
290
An Overview of Parsing and Marshalling
291
Choosing a Parser
293
XML Validation
299
Document models
302
Java Object Models
305
Object Serialization
307
Transient fields
307
O
iding default serializati
307
Compressing serialized data
311
K
eeping
Track of duplicate objects
31
Java EE Networking APis
316
Sizing Data Transfers
316
Summary
318
11. Database performance best practices
,321
JDBC
322
JDBC Drivers
322
Prepared Statements and Statement Pooling
324
JDBC Connection Pools
326
Transactions
327
Result set processing
335
JPA
337
Transaction Handling
337
Optimizing jPa Writes
340
Optimizing JPA Reads
342
JPA Caching
346
JPA Read-Only Entities
352
Summary
353
12. Java se api tips
,355
Buffered i/o
355
Classloading
358
Random numbers
362
ava Native interface
364
Exceptions
366
String performance
370
Table of Contents
【实例截图】
【核心代码】
