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  1. Stackups
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  5. MapStruct vs QueryDSL

MapStruct vs QueryDSL

OverviewComparisonAlternatives

Overview

QueryDSL
QueryDSL
Stacks151
Followers90
Votes0
GitHub Stars4.9K
Forks876
MapStruct
MapStruct
Stacks54
Followers45
Votes1
GitHub Stars7.5K
Forks1.0K

MapStruct vs QueryDSL: What are the differences?

Introduction

MapStruct and QueryDSL are two popular tools used in software development. Both tools aim to simplify the process of working with data by providing convenient abstractions and reducing boilerplate code. However, there are significant differences between the two that make them suitable for different use cases. This section will outline the key differences between MapStruct and QueryDSL.

  1. Code generation vs. Query building: MapStruct is primarily focused on generating mapping code between different object models. It generates mapping methods that can be used to convert objects of one type to another. On the other hand, QueryDSL is a library for building type-safe SQL-like queries. It provides a fluent API for constructing complex SQL queries programmatically.

  2. Mapping vs. querying: MapStruct is all about mapping data from one object model to another. It excels at generating code for mapping objects with similar structures but different types. QueryDSL, on the other hand, is designed for querying data from databases. It provides a powerful DSL for constructing SQL queries in a type-safe manner.

  3. Domain-specific vs. general-purpose: MapStruct is a domain-specific tool that focuses on mapping objects in the Java ecosystem. It integrates seamlessly with frameworks like Spring and can be customized to handle complex mapping scenarios. QueryDSL, on the other hand, is a general-purpose query-building library. It supports multiple database systems and can be used in various contexts beyond Java development.

  4. Compile-time vs. runtime: MapStruct generates mapping code at compile-time, which means that the maps are validated and optimized before the code is executed. This approach ensures high performance and early detection of errors. QueryDSL, on the other hand, builds queries at runtime, which provides more flexibility but may result in slower execution and potential runtime errors.

  5. Ease of use vs. power: MapStruct aims to simplify the mapping process by automatically generating code based on annotated interface methods. This approach makes it easy to get started but may limit customization options for complex mapping scenarios. QueryDSL, on the other hand, provides a more powerful API for building queries but requires a deeper understanding of SQL and database concepts.

  6. Tool integration vs. developer control: MapStruct integrates well with popular IDEs and build tools, automatically generating the mapping code during the build process. This seamless integration reduces the need for manual configuration and maintenance. QueryDSL, on the other hand, provides more control to the developer, allowing fine-grained customization of queries and query execution.

In summary, while both MapStruct and QueryDSL provide abstractions to simplify working with data, they have different focuses and use cases. MapStruct is primarily used for mapping objects between different models, while QueryDSL is used for building type-safe SQL queries. MapStruct offers ease of use and seamless integration with Java frameworks, while QueryDSL provides more flexibility and power at the cost of increased complexity.

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Detailed Comparison

QueryDSL
QueryDSL
MapStruct
MapStruct

It is an extensive Java framework, which allows for the generation of type-safe queries in a syntax similar to SQL. It currently has a wide range of support for various backends through the use of separate modules including JPA, JDO, SQL, Java collections, RDF, Lucene, Hibernate Search, and MongoDB

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.

Working with raw SQL; Non-persistent collections; NoSQL databases; Full-text search
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
4.9K
GitHub Stars
7.5K
GitHub Forks
876
GitHub Forks
1.0K
Stacks
151
Stacks
54
Followers
90
Followers
45
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Abstraction of the object conversion
Integrations
Gradle
Gradle
Java
Java
MongoDB
MongoDB
Spring
Spring
Eclipse
Eclipse
NetBeans IDE
NetBeans IDE
Eclipse
Eclipse
Java
Java
IntelliJ IDEA
IntelliJ IDEA

What are some alternatives to QueryDSL, MapStruct?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

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.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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