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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 2. Identifying Performance Bottlenecks FREE CHAPTER 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

I/O operations

This is another area that is important from the performance optimization point of view. If you need to read or write files to your server, you need to rely on Java’s I/O APIs. The I/O operations are resource intensive and may consume a large amount of processing time. This can turn into a big performance bottleneck, and hence, it is important to tune this area to improve the overall application performance.

Most Java developers still rely on the basic I/O APIs, which are more than adequate to perform any file related operations. However, they do have some performance issues, for example, InputStream.read() performs character-by-character reading or the method Reader.read() reads one character at a time. Then there are stream-related APIs. Most of them read or write one byte at a time, which contributes to performance problems as it takes a long time to go...

You have been reading a chapter from
Java 9 High Performance
Published in: Nov 2017
Publisher: Packt
ISBN-13: 9781787120785
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