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Java EE 8 High Performance

You're reading from   Java EE 8 High Performance Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications.

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788473064
Length 350 pages
Edition 1st Edition
Languages
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Author (1):
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Romain Manni-Bucau Romain Manni-Bucau
Author Profile Icon Romain Manni-Bucau
Romain Manni-Bucau
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Table of Contents (12) Chapters Close

Preface 1. Money – The Quote Manager Application 2. Looking Under the Cover – What is This EE Thing? FREE CHAPTER 3. Monitor Your Application 4. Application Optimization – Memory Management and Server Configuration 5. Scale Up – Threading and Implications 6. Be Lazy; Cache Your Data 7. Be Fault-Tolerant 8. Loggers and Performances – A Trade-Off 9. Benchmarking Your Application 10. Continuous Performance Evaluation 11. Another Book You May Enjoy

Thread data and consistency

Before getting Java EE-specific, it is important to step back a moment and understand the implications of concurrency on the programming model.

Concurrent data access

When a single thread accesses data, then the access is always thread-safe, and it is not possible for a thread to mutate data while another one is reading it. When you increase the number of threads and multiple threads can access the same data structure instances, it is possible for a thread to read the data that's currently being modified, or for two concurrent modifications to happen, leading to an inconsistent result.

Here is a schema representing this issue with two threads. Keep in mind that a Java EE server often handles...

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