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Clojure High Performance Programming, Second Edition

You're reading from   Clojure High Performance Programming, Second Edition Become an expert at writing fast and high performant code in Clojure 1.7.0

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283642
Length 198 pages
Edition 2nd Edition
Languages
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Author (1):
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Shantanu Kumar Shantanu Kumar
Author Profile Icon Shantanu Kumar
Shantanu Kumar
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Table of Contents (10) Chapters Close

Preface 1. Performance by Design FREE CHAPTER 2. Clojure Abstractions 3. Leaning on Java 4. Host Performance 5. Concurrency 6. Measuring Performance 7. Performance Optimization 8. Application Performance Index

Java concurrent data structures


Java has a number of mutable data structures that are meant for concurrency and thread-safety, which implies that multiple callers can safely access these data structures at the same time, without blocking each other. When we need only the highly concurrent access without the state management, these data structures may be a very good fit. Several of these employ lock free algorithms. We discussed about the Java atomic state classes in the Atomic updates and state section, so we will not repeat them here. Rather, we will only discuss the concurrent queues and other collections.

All of these data structures live in the java.util.concurrent package. These concurrent data structures are tailored to leverage the JSR 133 "Java Memory Model and Thread Specification Revision" (http://gee.cs.oswego.edu/dl/jmm/cookbook.html) implementation that first appeared in Java 5.

Concurrent maps

Java has a mutable concurrent hash map—java.util.concurrent.ConcurrentHashMap (CHM...

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