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  5. CDI vs MapStruct

CDI vs MapStruct

OverviewComparisonAlternatives

Overview

CDI
CDI
Stacks30
Followers38
Votes0
MapStruct
MapStruct
Stacks54
Followers45
Votes1
GitHub Stars7.5K
Forks1.0K

CDI vs MapStruct: What are the differences?

Introduction

In this article, we will explore the key differences between CDI (Contexts and Dependency Injection) and MapStruct. Both CDI and MapStruct are widely used in Java development, but they serve different purposes and have distinct features.

  1. Purpose: CDI is a powerful framework that provides context management and dependency injection capabilities in Java EE applications. It allows for loosely coupled components, enabling developers to write modular and maintainable code. On the other hand, MapStruct is a code generator that simplifies the process of mapping one Java bean to another. It eliminates the need for manual mapping and reduces the development effort required for converting data between different structures.

  2. Injection vs Code Generation: CDI focuses on providing runtime dependency injection, where dependencies are resolved dynamically during the execution of the application. It uses annotations and a container to manage the lifecycle of components. On the contrary, MapStruct generates code during the compilation phase, creating efficient and type-safe mapping functions that can be invoked at runtime.

  3. Simplicity vs Complexity: CDI is a powerful and flexible framework, but it comes with a certain level of complexity. It requires understanding of annotations, qualifiers, scopes, and other concepts to fully leverage its capabilities. MapStruct, on the other hand, simplifies the mapping process by generating code based on annotations and conventions, reducing the complexity of writing mapping logic manually.

  4. Runtime vs Compile-time: CDI is primarily used at runtime, allowing for dynamic dependency resolution and contextual management. It provides flexibility and adaptability during the execution of the application. MapStruct, on the other hand, operates at compile-time, generating efficient and optimized code during the build process. This leads to improved performance and eliminates the need for reflection or runtime mapping logic.

  5. Flexibility vs Performance: CDI provides a high level of flexibility and configurability, allowing developers to customize and extend its functionality. It supports various scopes, qualifiers, and extensions, enabling advanced use cases. However, this flexibility comes at the cost of performance, as CDI mechanisms introduce additional layers of indirection. MapStruct, on the other hand, focuses on generating efficient, type-safe mapping code, resulting in superior performance compared to runtime mapping approaches.

  6. Integration vs Standalone: CDI is an integral part of Java EE and Jakarta EE specifications, providing seamless integration with other Java EE technologies and frameworks. It leverages the capabilities of the container and supports advanced features like dependency injection, interceptors, decorators, and event handling. On the contrary, MapStruct is a standalone library that can be used independently of any specific framework or technology. It can be easily integrated with various build tools and IDEs.

In summary, CDI is a powerful runtime dependency injection framework that allows for flexible component management, while MapStruct is a code generator that simplifies the mapping process between Java beans. CDI focuses on runtime flexibility and integration with Java EE, while MapStruct prioritizes compile-time code generation and performance.

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Detailed Comparison

CDI
CDI
MapStruct
MapStruct

It is a standard dependency injection framework included in Java EE 6 and higher. It allows us to manage the lifecycle of stateful components via domain-specific lifecycle contexts and inject components (services) into client objects in a type-safe way.

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.

Part of the Java EE 6 platform;Defines a powerful set of complementary services
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
-
GitHub Stars
7.5K
GitHub Forks
-
GitHub Forks
1.0K
Stacks
30
Stacks
54
Followers
38
Followers
45
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Abstraction of the object conversion
Integrations
JSF
JSF
Java
Java
Java EE
Java EE
NetBeans IDE
NetBeans IDE
Eclipse
Eclipse
Java
Java
IntelliJ IDEA
IntelliJ IDEA

What are some alternatives to CDI, 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.

Jackson

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.

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