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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

Converting Excel to JSON

Converting Excel data to JSON is an activity that programmers need to perform when producing a conformity in a Java application. The right conversion requires the correct reading of the headers of rows and columns and then creating the required array structure for saving data in terms of JSON structures.

The best way to do this is to create a list of the items, and then work out a transfer to a JSON data form. This happens when you create a class in a software tool such as POJO and keep using relevant array structures to save the information that you have in terms of the rows and columns of a spreadsheet.

One way to perform the function of reading data from the different cells of a spreadsheet and putting it into a relevant JSON array is in the following manner:

import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException...
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