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Скачать или смотреть How to Properly Map Fields to a Single String Value Using MapStruct

  • vlogize
  • 2025-02-21
  • 6
How to Properly Map Fields to a Single String Value Using MapStruct
javamapstructmapstruct: map field to single string value (return value)
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Описание к видео How to Properly Map Fields to a Single String Value Using MapStruct

Learn how to effectively handle field mapping to string values in Java using MapStruct, with custom methods for proper conversions.
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This video is based on the question https://stackoverflow.com/q/78086085/ asked by the user 'Jordi' ( https://stackoverflow.com/u/3227319/ ) and on the answer https://stackoverflow.com/a/78135119/ provided by the user 'Filip' ( https://stackoverflow.com/u/1115491/ ) 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, comments, revision history etc. For example, the original title of the Question was: mapstruct: map field to single string value (return value)

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 Properly Map Fields to a Single String Value Using MapStruct

When working with Java and mapping frameworks like MapStruct, you might encounter a situation where you need to map complex objects to simpler data types—in this case, mapping a field from an object to a single string value. This can be challenging since MapStruct typically handles object-to-object mappings. In this guide, we'll explore a common problem and provide a straightforward solution for mapping a field to a string using MapStruct.

The Problem: Mapping an Object Field to a String

In the scenario described, the goal is to convert a DocumentId object to a string representation of its id field. Here’s a quick summary of the relevant classes involved:

The DocumentId Class

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

The DocumentMapper Interface

Your initial attempt at creating a mapper interface looks like this:

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

However, you encountered an issue with the toPersistenceModel method, where the framework couldn’t correctly map the DocumentId.id field to a string. Let's explore how to address this.

The Solution: Custom Mapping Method

Since MapStruct doesn’t directly support extracting values from an object to produce a primitive type or a string, you can tackle this problem by writing a custom mapping method. Here's how to do it:

Revised DocumentMapper Interface

Here's an updated version of your DocumentMapper interface that includes a custom method for converting DocumentId to a string:

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

Explanation of the Changes

Default Method: We used the default keyword to define our toPersistenceModel method. This allows us to implement custom behavior while still ensuring that the method can be overridden if needed.

Null Checks: We added checks for null values to prevent NullPointerExceptions. If the id object is null, the method returns null immediately.

Extracting UUID and Converting to String: The method retrieves the UUID from the DocumentId object using id.getId(). It then converts the UUID to a string using uuid.toString().

This modification allows you to convert the DocumentId instance to its string representation effectively.

Conclusion

Mapping fields from complex objects to simpler types in Java using MapStruct can be complicated, especially when dealing with custom types like DocumentId. By writing a custom mapping method, you can achieve the desired results while maintaining readability and simplicity in your code.

With this approach, you ensure that your data transformations are clear and robust, making your mapping logic much easier to manage.

Feel free to try this solution and explore its capabilities in your projects!

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