实例介绍
【实例简介】Programming Concurrency on the JVM(2011)
【实例截图】
【核心代码】
Contents
Preface
. . . . . . . . . . . . . xi
1.
The Power and Perils of Concurrency
. . . . . . 1
Threads: The Flow of Execution
1
1.1
1.2 The Power of Concurrency
2
1.3 The Perils of Concurrency
5
1.4 Recap
10
Part I — Strategies for Concurrency
2.
Division of Labor
. . . . . . . . . . . 15
From Sequential to Concurrent
15
2.1
2.2 Concurrency in IO-Intensive Apps
18
2.3 Speedup for the IO-Intensive App
25
2.4 Concurrency in Computationally Intensive Apps
25
2.5 Speedup for the Computationally Intensive App
31
2.6 Strategies for Effective Concurrency
33
2.7 Recap
34
3.
Design Approaches
. . . . . . . . . . 35
Dealing with State
35
3.1
3.2 Exploring Design Options
36
3.3 Shared Mutable Design
37
3.4 Isolated Mutable Design
37
3.5 Purely Immutable Design
38
3.6 Persistent/Immutable Data Structures
39
3.7 Selecting a Design Approach
42
3.8 Recap
43
Download at www.Pin5i.ComPart II — Modern Java/JDK Concurrency
4.
Scalability and Thread Safety
. . . . . . . . 47
Managing Threads with ExecutorService
48
4.1
4.2 Coordinating Threads
49
4.3 Exchanging Data
58
4.4 Java 7 Fork-Join API
61
4.5 Scalable Collections
63
4.6 Lock vs. Synchronized
66
4.7 Recap
71
5.
Taming Shared Mutability . . . . . . . . . 73
Shared Mutability != public
73
5.1
5.2 Spotting Concurrency Issues
74
5.3 Preserve Invariant
75
5.4 Mind Your Resources
76
5.5 Ensure Visibility
79
5.6 Enhance Concurrency
80
5.7 Ensure Atomicity
82
5.8 Recap
85
Part III — Software Transactional Memory
6.
Introduction to Software Transactional Memory
. . .
89
Synchronization Damns Concurrency
89
6.1
6.2 The Deficiency of the Object Model
90
6.3 Separation of Identity and State
91
6.4 Software Transactional Memory
92
6.5 Transactions in STM
96
6.6 Concurrency Using STM
97
6.7 Concurrency Using Akka/Multiverse STM
102
6.8 Creating Transactions
104
6.9 Creating Nested Transactions
111
6.10 Configuring Akka Transactions
120
6.11 Blocking Transactions—Sensible Wait
122
6.12 Commit and Rollback Events
126
6.13 Collections and Transactions
129
6.14 Dealing with the Write Skew Anomaly
133
6.15 Limitations of STM
136
6.16 Recap
140
• viii
Download at www.Pin5i.Com7.
STM in Clojure, Groovy, Java, JRuby, and Scala
. . .
141
Clojure STM
142
7.1
7.2 Groovy Integration
142
7.3 Java Integration
146
7.4 JRuby Integration
149
7.5 Choices in Scala
156
7.6 Recap
158
Part IV — Actor-Based Concurrency
8.
Favoring Isolated Mutability
. . . . . . . . 163
Isolating Mutability Using Actors
164
8.1
8.2 Actor Qualities
165
8.3 Creating Actors
166
8.4 Sending and Receiving Messages
173
8.5 Working with Multiple Actors
178
8.6 Coordinating Actors
182
8.7 Using Typed Actors
190
8.8 Typed Actors and Murmurs
195
8.9 Mixing Actors and STM
201
8.10 Using Transactors
202
8.11 Coordinating Typed Actors
210
8.12 Remote Actors
216
8.13 Limitations of the Actor-Based Model
218
8.14 Recap
219
9.
Actors in Groovy, Java, JRuby, and Scala . . . . . 221
Actors in Groovy with GPars
221
9.1
9.2 Java Integration
235
9.3 JRuby Akka Integration
235
9.4 Choices in Scala
239
9.5 Recap
239
Part V — Epilogue
10. Zen of Programming Concurrency
. . . . . . 243
Exercise Your Options
243
10.1
10.2 Concurrency: Programmer’s Guide
244
10.3 Concurrency: Architect’s Guide
245
10.4 Choose Wisely
246
• ix
Download at www.Pin5i.ComA1. Clojure Agents
. . . . . . . . . . . 249
A2. Web Resources
. . . . . . . . . . . 255
A3. Bibliography . . . . . . . . . . . . 259
Index
. . . . . . . . . . . . . 261
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