Java Concurrency in Practice
1st Edition
Published on 9. May 2006
432 pages
978-0-13-270225-6 (ISBN)
Description
Threads are a fundamental part of the Java platform. As multicore processors become the norm, using concurrency effectively becomes essential for building high-performance applications. Java SE 5 and 6 are a huge step forward for the development of concurrent applications, with improvements to the Java Virtual Machine to support high-performance, highly scalable concurrent classes and a rich set of new concurrency building blocks. In Java Concurrency in Practice, the creators of these new facilities explain not only how they work and how to use them, but also the motivation and design patterns behind them.
However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant.
This book covers:
Basic concepts of concurrency and thread safety
Techniques for building and composing thread-safe classes
Using the concurrency building blocks in java.util.concurrent
Performance optimization dos and don'ts
Testing concurrent programs
Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model
However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant.
This book covers:
Basic concepts of concurrency and thread safety
Techniques for building and composing thread-safe classes
Using the concurrency building blocks in java.util.concurrent
Performance optimization dos and don'ts
Testing concurrent programs
Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model
More details
Edition
1. Auflage
Language
English
Place of publication
Boston
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
File size
7,48 MB
ISBN-13
978-0-13-270225-6 (9780132702256)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Brian Goetz | Tim Peierls | Joshua Bloch
Java Concurrency in Practice
Book
06/2006
1st Edition
Addison Wesley
€54.49
Shipment within 10-20 days
Persons
Brian Goetz is a software consultant with twenty years industry experience, with over 75 articles on Java development. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.
Tim Peierls is the very model of a modern multiprocessor, with BoxPop.biz, recording arts, and goings on theatrical. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.
Joshua Bloch is a principal engineer at Google and a Jolt Award-winner. He was previously a distinguished engineer at Sun Microsystems and a senior systems designer at Transarc. Josh led the design and implementation of numerous Java platform features, including JDK 5.0 language enhancements and the award-winning Java Collections Framework. He holds a Ph.D. in computer science from Carnegie Mellon University.
Joseph Bowbeer is a software architect at Vizrea Corporation where he specializes in mobile application development for the Java ME platform, but his fascination with concurrent programming began in his days at Apollo Computer. He served on the JCP Expert Group for JSR-166 (Concurrency Utilities).
David Holmes is director of DLTeCH Pty Ltd, located in Brisbane, Australia. He specializes in synchronization and concurrency and was a member of the JSR-166 expert group that developed the new concurrency utilities. He is also a contributor to the update of the Real-Time Specification for Java, and has spent the past few years working on an implementation of that specification.
Doug Lea is one of the foremost experts on object-oriented technology and software reuse. He has been doing collaborative research with Sun Labs for more than five years. Lea is Professor of Computer Science at SUNY Oswego, Co-director of the Software Engineering Lab at the New York Center for Advanced Technology in Computer Applications, and Adjunct Professor of Electrical and Computer Engineering at Syracuse University. In addition, he co-authored the book, Object-Oriented System Development (Addison-Wesley, 1993). He received his B.A., M.A., and Ph.D. from the University of New Hampshire.
Tim Peierls is the very model of a modern multiprocessor, with BoxPop.biz, recording arts, and goings on theatrical. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.
Joshua Bloch is a principal engineer at Google and a Jolt Award-winner. He was previously a distinguished engineer at Sun Microsystems and a senior systems designer at Transarc. Josh led the design and implementation of numerous Java platform features, including JDK 5.0 language enhancements and the award-winning Java Collections Framework. He holds a Ph.D. in computer science from Carnegie Mellon University.
Joseph Bowbeer is a software architect at Vizrea Corporation where he specializes in mobile application development for the Java ME platform, but his fascination with concurrent programming began in his days at Apollo Computer. He served on the JCP Expert Group for JSR-166 (Concurrency Utilities).
David Holmes is director of DLTeCH Pty Ltd, located in Brisbane, Australia. He specializes in synchronization and concurrency and was a member of the JSR-166 expert group that developed the new concurrency utilities. He is also a contributor to the update of the Real-Time Specification for Java, and has spent the past few years working on an implementation of that specification.
Doug Lea is one of the foremost experts on object-oriented technology and software reuse. He has been doing collaborative research with Sun Labs for more than five years. Lea is Professor of Computer Science at SUNY Oswego, Co-director of the Software Engineering Lab at the New York Center for Advanced Technology in Computer Applications, and Adjunct Professor of Electrical and Computer Engineering at Syracuse University. In addition, he co-authored the book, Object-Oriented System Development (Addison-Wesley, 1993). He received his B.A., M.A., and Ph.D. from the University of New Hampshire.
Content
Listings xii
Preface xvii
Chapter 1: Introduction 1
1.1 A (very) brief history of concurrency 1
1.2 Benefits of threads 3
1.3 Risks of threads 5
1.4 Threads are everywhere 9
Part I: Fundamentals 13
Chapter 2: Thread Safety 15 2.1 What is thread safety? 17
2.2 Atomicity 19
2.3 Locking 23
2.4 Guarding state with locks 27
2.5 Liveness and performance 29
Chapter 3: Sharing Objects 33 3.1 Visibility 33
3.2 Publication and escape 39
3.3 Thread confinement 42
3.4 Immutability 46
3.5 Safepublication 49
Chapter 4: Composing Objects 55 4.1 Designing a thread-safe class 55
4.2 Instance confinement 58
4.3 Delegating thread safety 62
4.4 Adding functionality to existing thread-safe classes 71
4.5 Documenting synchronization policies 74
Chapter 5: Building Blocks 79 5.1 Synchronized collections 79
5.2 Concurrent collections 84
5.3 Blocking queues and the producer-consumer pattern 87
5.4 Blocking and interruptible methods 92
5.5 Synchronizers 94
5.6 Building an efficient, scalable result cache 101
Part II: Structuring Concurrent Applications 111
Chapter 6: Task Execution 113 6.1 Executing tasks in threads 113
6.2 The Executor framework 117
6.3 Finding exploitable parallelism 123
Chapter 7: Cancellation and Shutdown 135 7.1 Task cancellation 135
7.2 Stopping a thread-based service 150
7.3 Handling abnormal thread termination 161
7.4 JVM shutdown 164
Chapter 8: Applying Thread Pools 167 8.1 Implicit couplings between tasks and execution policies 167
8.2 Sizing thread pools 170
8.3 Configuring ThreadPoolExecutor 171
8.4 Extending ThreadPoolExecutor 179
8.5 Parallelizing recursive algorithms 181
Chapter 9: GUI Applications 189 9.1 Why are GUIs single-threaded? 189
9.2 Short-running GUI tasks 192
9.3 Long-running GUI tasks 195
9.4 Shared data models 198
9.5 Other forms of single-threaded subsystems 202
Part III: Liveness, Performance, and Testing 203
Chapter 10: Avoiding Liveness Hazards 205 10.1 Deadlock 205
10.2 Avoiding and diagnosing deadlocks 215
10.3 Other liveness hazards 218
Chapter 11: Performance and Scalability 221 11.1 Thinking about performance 221
11.2 Amdahl's law 225
11.3 Costs introduced by threads 229
11.4 Reducing lock contention 232
11.5 Example: Comparing Map performance 242
11.6 Reducing context switch overhead 243
Chapter 12: Testing Concurrent Programs 247 12.1 Testing for correctness 248
12.2 Testing for performance 260
12.3 Avoiding performance testing pitfalls 266
12.4 Complementary testing approaches 270
Part IV: Advanced Topics 275
Chapter 13: Explicit Locks 277 13.1 Lock and ReentrantLock 277
13.2 Performance considerations 282
13.3 Fairness 283
13.4 Choosing between synchronized and ReentrantLock 285
13.5 Read-write locks 286
Chapter 14: Building Custom Synchronizers 291 14.1 Managing state dependence 291
14.2 Using condition queues 298
14.3 Explicit condition objects 306
14.4 Anatomy of a synchronizer 308
14.5 AbstractQueuedSynchronizer 311
14.6 AQS in java.util.concurrent synchronizer classes 314
Chapter15: Atomic Variables and Nonblocking Synchronization 319 15.1 Disadvantages of locking 319
15.2 Hardware support for concurrency 321
15.3 Atomic variable classes 324
15.4 Nonblocking algorithms 329
Chapter 16: The Java Memory Model 337 16.1 What is a memory model, and why would I want one? 337
16.2 Publication 344
16.3 Initialization safety 349
Appendix A: Annotations for Concurrency 353 A.1 Class annotations 353
A.2 Field andmethod annotations 353
Bibliography 355
Index 359
Preface xvii
Chapter 1: Introduction 1
1.1 A (very) brief history of concurrency 1
1.2 Benefits of threads 3
1.3 Risks of threads 5
1.4 Threads are everywhere 9
Part I: Fundamentals 13
Chapter 2: Thread Safety 15 2.1 What is thread safety? 17
2.2 Atomicity 19
2.3 Locking 23
2.4 Guarding state with locks 27
2.5 Liveness and performance 29
Chapter 3: Sharing Objects 33 3.1 Visibility 33
3.2 Publication and escape 39
3.3 Thread confinement 42
3.4 Immutability 46
3.5 Safepublication 49
Chapter 4: Composing Objects 55 4.1 Designing a thread-safe class 55
4.2 Instance confinement 58
4.3 Delegating thread safety 62
4.4 Adding functionality to existing thread-safe classes 71
4.5 Documenting synchronization policies 74
Chapter 5: Building Blocks 79 5.1 Synchronized collections 79
5.2 Concurrent collections 84
5.3 Blocking queues and the producer-consumer pattern 87
5.4 Blocking and interruptible methods 92
5.5 Synchronizers 94
5.6 Building an efficient, scalable result cache 101
Part II: Structuring Concurrent Applications 111
Chapter 6: Task Execution 113 6.1 Executing tasks in threads 113
6.2 The Executor framework 117
6.3 Finding exploitable parallelism 123
Chapter 7: Cancellation and Shutdown 135 7.1 Task cancellation 135
7.2 Stopping a thread-based service 150
7.3 Handling abnormal thread termination 161
7.4 JVM shutdown 164
Chapter 8: Applying Thread Pools 167 8.1 Implicit couplings between tasks and execution policies 167
8.2 Sizing thread pools 170
8.3 Configuring ThreadPoolExecutor 171
8.4 Extending ThreadPoolExecutor 179
8.5 Parallelizing recursive algorithms 181
Chapter 9: GUI Applications 189 9.1 Why are GUIs single-threaded? 189
9.2 Short-running GUI tasks 192
9.3 Long-running GUI tasks 195
9.4 Shared data models 198
9.5 Other forms of single-threaded subsystems 202
Part III: Liveness, Performance, and Testing 203
Chapter 10: Avoiding Liveness Hazards 205 10.1 Deadlock 205
10.2 Avoiding and diagnosing deadlocks 215
10.3 Other liveness hazards 218
Chapter 11: Performance and Scalability 221 11.1 Thinking about performance 221
11.2 Amdahl's law 225
11.3 Costs introduced by threads 229
11.4 Reducing lock contention 232
11.5 Example: Comparing Map performance 242
11.6 Reducing context switch overhead 243
Chapter 12: Testing Concurrent Programs 247 12.1 Testing for correctness 248
12.2 Testing for performance 260
12.3 Avoiding performance testing pitfalls 266
12.4 Complementary testing approaches 270
Part IV: Advanced Topics 275
Chapter 13: Explicit Locks 277 13.1 Lock and ReentrantLock 277
13.2 Performance considerations 282
13.3 Fairness 283
13.4 Choosing between synchronized and ReentrantLock 285
13.5 Read-write locks 286
Chapter 14: Building Custom Synchronizers 291 14.1 Managing state dependence 291
14.2 Using condition queues 298
14.3 Explicit condition objects 306
14.4 Anatomy of a synchronizer 308
14.5 AbstractQueuedSynchronizer 311
14.6 AQS in java.util.concurrent synchronizer classes 314
Chapter15: Atomic Variables and Nonblocking Synchronization 319 15.1 Disadvantages of locking 319
15.2 Hardware support for concurrency 321
15.3 Atomic variable classes 324
15.4 Nonblocking algorithms 329
Chapter 16: The Java Memory Model 337 16.1 What is a memory model, and why would I want one? 337
16.2 Publication 344
16.3 Initialization safety 349
Appendix A: Annotations for Concurrency 353 A.1 Class annotations 353
A.2 Field andmethod annotations 353
Bibliography 355
Index 359
