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  5. Jackson vs MapStruct

Jackson vs MapStruct

OverviewComparisonAlternatives

Overview

Jackson
Jackson
Stacks452
Followers74
Votes0
GitHub Stars9.6K
Forks1.2K
MapStruct
MapStruct
Stacks54
Followers45
Votes1
GitHub Stars7.5K
Forks1.0K

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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Detailed Comparison

Jackson
Jackson
MapStruct
MapStruct

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.

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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Mapping (immutable) objects using builders; Enhanced and more flexible update method (@MappingTarget) handling; Constructor injection for Annotation Based component models; Source policy for unmapped source properties (unmappedSourcePolicy); Support for defaultExpression; Limit mapping only to explicitly defined mappings; Performance improvement of constant / defaultValue primitive to String mappings; Warnings for precision loss
Statistics
GitHub Stars
9.6K
GitHub Stars
7.5K
GitHub Forks
1.2K
GitHub Forks
1.0K
Stacks
452
Stacks
54
Followers
74
Followers
45
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Abstraction of the object conversion
Integrations
No integrations available
NetBeans IDE
NetBeans IDE
Eclipse
Eclipse
Java
Java
IntelliJ IDEA
IntelliJ IDEA

What are some alternatives to Jackson, MapStruct?

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

Thymeleaf

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

JavaMelody

JavaMelody

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

RxJava

RxJava

A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.

Java 8

Java 8

It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance.

Apache FreeMarker

Apache FreeMarker

It is a "template engine"; a generic tool to generate text output (anything from HTML to auto generated source code) based on templates. It's a Java package, a class library for Java programmers.

Project Reactor

Project Reactor

It is a fourth-generation Reactive library for building non-blocking applications on the JVM based on the Reactive Streams Specification. It is a fully non-blocking foundation with efficient demand management. It directly interacts with Java functional API, Completable Future, Stream and Duration.

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