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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

Converting CSV to JSON

Comma Separated Values (CSVs) is an ideal method for storing data in a tabular form. CSV files can be easily moved in and out of several data-processing software tools, such as Microsoft Excel. It is simple and perfect for a quick transfer in a number of environments.

However, JSON is present all around the web, and there is often a requirement to convert the CSV data to JSON in order to use it in a different programming and data-processing environment. Any JSON conversion can occur by using two modes of standard or minimal conversion.

A simple table can be read using table annotations that point to individual values. This is an easy-to-read model where column titles and cell values can be directly referred using Unicode character sets. Normalization may also apply when converting string values to JSON data, which can then be parsed in real time.

The minimal...

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