Hello guys, If you are working with JSON data then you may know that JSON is collection of key value pairs and that's why many times, you also need to convert them into a Map in Java. While there are many Java libraries like Jackson and Gson which provides support of parsing JSON to Java objects, there is not much support for JSON parsing or manipulation on standard JDK. While JSON parsing is still a long overdue, starting with JDK 8u60+ the built-in Nashorn engine is capable to convert JSON content into java.util.Map. No external dependencies are required for parsing JSON in to Map as you will learn in this article.
Learn Java and Programming through articles, code examples, and tutorials for developers of all levels.
How to convert JSON String to Java Object using Gson? JSON Deserialization Example
3 ways to convert String to JSON object in Java? Examples
How to Accept and Produce JSON as a response in Spring Boot? Example Tutorial
Hello everyone, welcome to the blog post. In this short tutorial, we are going to take an in-depth look at how to consume and produce JSON responses using a widely appreciated Java framework i.e. Spring Boot. As we all know Spring Boot is a framework designed to build a secure web application, microservice, REST API, and production-ready spring application. Modern-day application deals in a large amount of data, which they share in JSON format. A JSON is a standard plain text-based representation of structured data. It is one of the popular formats for data transmission over the internet. Due to its user-friendly syntax and lightweight, it helps in the process faster.
How to use @JsonCreator and @JsonPropertOrder Jackson JN Annotation in Java? Examples
How to convert Java object to JSON String using Gson? Example Tutorial
How to Parse JSON in Java Object using Jackson - Example Tutorial
How to convert array to JSON in Java? Example Tutorial
Oftentimes you may have to work on a task whereby you will have to store a large number of values during the execution of a program. for instance, you need to read 50 numbers, calculate their average, and find out how many numbers are above the average, and how many numbers are below average.