Json

Working with JSON is a daily task in modern Java applications. Thanks to the Java 8 Stream API and the Jackson library, you can now process JSON data in a clean, functional style. Instead of writing verbose loops and conditionals, you can compose readable pipelines that handle filtering, mapping, and collecting with ease.

In this tutorial, we’ll walk through how to parse a JSON document and apply powerful filters using Java Streams. We’ll also cover best practices for Java 11+ and performance tips for handling large datasets.

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In this article we will learn how to use the Java Multi-line feature and and we can combine it with String Templates to create complex Object structures such as JSON payloads or even JSON Objects!

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JSON arrays are a fundamental data structure in JSON, used to store collections of values or objects. Java provides the JsonArray and JsonArrayBuilder classes from the Jakarta JSON API to efficiently create, manipulate, and parse JSON arrays. It also provides methods to parse a JSON Array into a Java Collection. In this tutorial we will see both options with practical examples

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This tutorial will teach you how to use the Jakarta JSON Processing API from standalone Java applications. At the end of it, you will be able to create simple scripts in Java to manipulate, serialize and deserialize JSON content at scale.

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When working with JSON data, readability matters. JSON pretty printing is a technique used to format JSON data in a human-readable manner, making it easier to analyze, debug, and understand. In this tutorial, we’ll explore how to perform JSON pretty printing in Java, leveraging libraries to format JSON for improved readability.

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JSON-B and Jackson are both libraries that can be used for parsing and generating JSON data in Java. However, they have some differences in their functionality and usage. This tutorial will discuss them in detail.

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