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Java 9 High Performance

You're reading from   Java 9 High Performance Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787120785
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Mayur Ramgir Mayur Ramgir
Author Profile Icon Mayur Ramgir
Mayur Ramgir
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Toc

Table of Contents (11) Chapters Close

1. Learning Java 9 Underlying Performance Improvements FREE CHAPTER 2. Identifying Performance Bottlenecks 3. Learning How to Troubleshoot Code 4. Learning How to Use Profiling Tools 5. Understanding Garbage Collection and Making Use of It 6. Optimizing Code with Microbenchmarking 7. Speeding Up JSON Generation 8. Tools for Higher Productivity and Faster Application 9. Multithreading and Reactive Programming 10. Microservices 11. Making Use of New APIs to Improve Your Code

Sizing thread pool executors

In our examples, we have used a cached thread pool that creates a new thread as needed or, if available, reuses the thread already used, but which completed its job and returned to the pool for a new assignment. We did not worry about too many threads created because our demo application had two worker threads at the most and they were quite short lived.

But in the case where an application does not have a fixed limit of the worker threads it might need or there is no good way to predict how much memory a thread may take or how long it can execute, setting a ceiling on the worker thread count prevents an unexpected degradation of the application performance, running out of memory or depletion of any other resources the worker threads use. If the thread behavior is extremely unpredictable, a single thread pool might be the only solution, with an option...

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