How to convert a Java pojo class to Record fastly
Tags: java, code, refactoring, refactorit
Published: 2023-06-28 13:16:09

## Introduction:
Java, being a popular and widely used programming language, continually evolves to meet the demands of modern software development. With the release of Java 17, several new features have been introduced, including enhancements to class usage analysis and the introduction of the Java Records feature. In this article, we will delve into the usage of Java classes and explore the new Java Records feature. Additionally, we will discover a new plugin in IntelliJ IDEA that aids in the transformation of classes to records, making batch conversions efficient and hassle-free.

## Introducing Java Records:
Java 17 introduces the Java Records feature, which provides a concise way to define simple classes that primarily encapsulate immutable data. A Java record automatically generates boilerplate code, including constructor, accessors, equals, hashCode, and toString methods, based on the class's fields.

To define a record in Java, the 'record' keyword is used, followed by the class name and a list of fields:

```java
public record Person(String name, int age) {
    // Additional methods and behavior can be added here
}
```

### Java Records provide numerous benefits, such as:

1. Conciseness: Records reduce the boilerplate code required to define simple data-holding classes, enhancing code readability and maintainability.

2. Immutability: All fields in a record are implicitly final, making them immutable by default. This immutability ensures thread safety and helps avoid accidental mutations.

3. Generated Methods: Records automatically generate useful methods, such as equals(), hashCode(), and toString(), based on the declared fields, making them readily available without manual implementation.

Using IntelliJ IDEA Plugin for Batch Conversion:
IntelliJ IDEA, a popular integrated development environment (IDE), provides excellent support for Java development and offers numerous plugins to enhance productivity. With the release of Java 17, IntelliJ IDEA introduces a new plugin that simplifies the transformation of classes to records.

The Java Records Transformation Plugin: [Pojo2Records](https://plugins.jetbrains.com/plugin/21874-pojo2records) in IntelliJ IDEA enables developers to convert multiple classes to records simultaneously, making the migration process efficient and convenient. The plugin seamlessly integrates into the IDE, providing a user-friendly interface to select the files or packages for transformation.

![IntelliJ IDEA Plugin Interface](https://plugins.jetbrains.com/files/21874/339084/icon/pluginIcon.svg)

### Using the plugin is straightforward:

1. Select the desired files or packages in the project structure.
2. Right-click and choose the "Convert to Record" option from the context menu.
3. The plugin analyzes the selected classes and automatically converts them to records.
4. Review the changes and confirm the transformation.

![Transformation Confirmation](https://plugins.jetbrains.com/files/21874/screenshot_410eaca7-a742-4d6e-aad2-769db18752b8)

The Java Records Transformation Plugin significantly reduces the effort and time required to migrate existing classes to records, ensuring a smooth transition while leveraging the benefits of the new Java 17 feature.

## Conclusion:
Java 17 brings exciting enhancements to

 class usage analysis and introduces the Java Records feature, simplifying the definition of simple data-holding classes. Understanding class usages helps developers make informed decisions during refactoring and maintaining code integrity. Additionally, the new Java Records Transformation Plugin in IntelliJ IDEA streamlines the process of converting classes to records, making batch transformations a breeze. By leveraging these features and tools, Java developers can enhance code quality, reduce boilerplate code, and improve productivity in their projects.

![Java Records Transformation in IntelliJ IDEA](https://plugins.jetbrains.com/files/21874/screenshot_d3b77dc2-bd2a-4d11-b852-5cf72e307d97)