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Jackson vs MapStruct: What are the differences?

Introduction

In the world of Java-based projects, developers often come across the need to convert objects between different representations, such as JSON and Java POJOs. Two popular libraries that help with this task are Jackson and MapStruct. Although both libraries are used for object mapping, they have some key differences that set them apart.

  1. Annotation-based vs Code-generation Approach: Jackson is an annotation-based library, where developers annotate their Java classes to specify how the object-to-JSON and JSON-to-object mapping should be performed. On the other hand, MapStruct takes a code-generation approach, where developers define a mapping interface and the library generates the implementation code for them. This allows for compile-time checking of mappings and can potentially lead to better performance.

  2. Complexity and Learning Curve: Jackson offers a wide range of features and configurations, making it a powerful and flexible library. However, this also means that it has a steeper learning curve, as developers need to understand the various annotations and configurations. MapStruct, in comparison, has a simpler and more focused API, making it easier to get started with. It aims to provide a more lightweight solution specifically for object-to-object mapping.

  3. Support for Mapping Types: Jackson provides comprehensive support for mapping various types, including collections, generics, and nested objects. It can handle complex mappings with relative ease. On the other hand, MapStruct focuses primarily on mapping between Java Beans and DTOs (Data Transfer Objects). While it can handle simple collection mappings, it may not be as well-suited for complex mappings involving nested objects or generics.

  4. Performance: Due to its code-generation approach, MapStruct can often be faster and more efficient in terms of runtime performance compared to Jackson. The generated code eliminates the need for reflection and provides optimized implementations for mapping. Jackson, however, offers better runtime customization options, which may be necessary in certain scenarios.

  5. Customization and Extensibility: Jackson provides extensive customization options through its annotations and configuration settings. It allows developers to fine-tune the mapping behavior and handle complex scenarios. MapStruct, being a code-generation library, does not offer as many customization possibilities. While it provides some limited ways to customize mappings through custom mappers, it may not be as flexible as Jackson in this regard.

  6. Community and Ecosystem: Jackson has been around for a long time and has a vibrant community and a vast ecosystem of plugins and extensions. It is widely adopted and used in various projects, making it easy to find support and resources. MapStruct, although gaining popularity, is relatively newer and has a smaller community and ecosystem. This may result in fewer resources and plugins available for specific use cases.

In summary, Jackson and MapStruct offer different approaches to object mapping in Java. Jackson is an annotation-based library with a powerful feature set and support for complex mappings, while MapStruct takes a code-generation approach, focusing on simplicity and performance. The choice between the two depends on the specific requirements, complexity of mappings, and developer preferences.

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Pros of Jackson
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      Abstraction of the object conversion

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    What is Jackson?

    It is a suite of data-processing tools for Java (and the JVM platform), including the flagship streaming JSON parser / generator library, matching data-binding library (POJOs to and from JSON) and additional data format modules to process data encoded in Avro, BSON, CBOR, CSV, Smile, (Java) Properties, Protobuf, XML or YAML; and even the large set of data format modules to support data types of widely used data types such as Guava, Joda.

    What is MapStruct?

    It is a code generator that greatly simplifies the implementation of mappings between Java bean types based on a convention over configuration approach. The generated mapping code uses plain method invocations and thus is fast, type-safe and easy to understand.

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