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How to Return Only One Time Nested Object in DTO Using MapStruct

How to return only one time nested object in dto using mapstruct

spring boot

rest

dto

mapstruct

Автор: vlogize

Загружено: 2025-10-08

Просмотров: 1

Описание: Discover how to achieve a clean and concise representation of nested objects in DTOs using MapStruct, focusing on effective mapping strategies and practical examples.
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This video is based on the question https://stackoverflow.com/q/64679341/ asked by the user 'Houssam Rafiki' ( https://stackoverflow.com/u/6364177/ ) and on the answer https://stackoverflow.com/a/64679767/ provided by the user 'Houssam Rafiki' ( https://stackoverflow.com/u/6364177/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to return only one time nested object in dto using mapstruct

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Return Only One Time Nested Object in DTO Using MapStruct

When working with nested data structures in Java, particularly when using Data Transfer Objects (DTOs), it's common to run into situations where the nested relationships can create redundant object hierarchies. Today, we will tackle the problem of a nested object that references itself and explore how to use MapStruct to resolve it effectively.

Understanding the Problem

Consider a Java class Person that contains an instance of itself as a property named parent. Here’s what the class structure looks like:

[[See Video to Reveal this Text or Code Snippet]]

This structure allows you to represent complex relationships, such as family trees. However, when we try to convert a list of Person objects into their corresponding DTOs, we end up with an undesired output that includes multiple nested references to parents.

Example Data

Suppose we have the following list of Person objects:

[[See Video to Reveal this Text or Code Snippet]]

When converting this structure to DTOs, the output looks like this:

[[See Video to Reveal this Text or Code Snippet]]

As you can see, the parent references go back multiple levels, resulting in an unnecessarily deep object structure. What we want instead is to have a more concise representation:

[[See Video to Reveal this Text or Code Snippet]]

The Solution Using MapStruct

Step 1: Setting Up Your Mapper

To solve this problem, we can utilize MapStruct, a powerful annotation processor that simplifies the mapping process between Java objects. We'll create a mapper interface for our Person class.

Here's how you can set it up:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Explanation of the Mapper Code

Person to PersonDTO Mapping: The personToPersonDTO method is tasked with converting Person entities to PersonDto representations.

@ AfterMapping Annotation: This annotation indicates that the deleteGrandParents method is executed after the mapping completes. It is crucial for performing any additional logic needed post-mapping.

Deleting Grandparents: The logic within the deleteGrandParents method checks if the parent of the mapped PersonDto is not null. If it exists, we simply set its parent to null, effectively removing the grandparent reference from the DTO.

Conclusion

By using MapStruct and applying the @ AfterMapping logic, we can effectively control the mapping behavior to avoid returning unnecessary nested objects. This ensures that our DTO representations are simpler and more user-friendly.

With these techniques, you can cleanly handle nested structures in DTOs while leveraging the strengths of MapStruct to simplify your codebase. If you're dealing with complex data relationships in a Spring Boot application, implementing this pattern can significantly enhance your project's maintainability and clarity.

Happy coding!

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