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Скачать или смотреть How to Map an Encrypted Property to Decrypted ID using MapStruct

  • vlogize
  • 2025-09-15
  • 0
How to Map an Encrypted Property to Decrypted ID using MapStruct
MapStruct DTO propertyjavamappingdtomapstruct
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Описание к видео How to Map an Encrypted Property to Decrypted ID using MapStruct

Learn how to effectively map an `encrypted` DTO property to a `decrypted` ID using MapStruct, ensuring smooth data handling in your Java applications.
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This video is based on the question https://stackoverflow.com/q/62423825/ asked by the user 'Paul Marcelin Bejan' ( https://stackoverflow.com/u/13115701/ ) and on the answer https://stackoverflow.com/a/62548001/ 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, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: MapStruct DTO property

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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.

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Introduction

When working with data transfer objects (DTOs) in Java, it's not uncommon to encounter situations where the data provided is in an encrypted format. This can lead to challenges, especially when you need to access or manipulate the underlying data in a readable manner. For instance, you might have a property such as idEncrypted, which is received in an encrypted state, but you require the decrypted ID in your application logic.

In this post, we will address a common challenge faced by Java developers: how to effectively map an encrypted property (idEncrypted) to a decrypted ID using MapStruct. We will walk through a solution that utilizes a custom mapping method to transform the encrypted data seamlessly.

Problem Statement

Imagine you have a DTO class called MyDTO with an idEncrypted property that holds encrypted values. Your goal is to map this property to a corresponding id in your entity class while simultaneously decrypting it. Here’s a simplified version of your DTO class:

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

Your challenge lies in the fact that you receive the encrypted ID and want to convert it to a readable format by using your existing decryption utility method. A snippet of this method might look like:

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

Solution Overview

To resolve the mapping issue, you can leverage the capabilities of MapStruct to create a custom mapping method that handles the decryption process. Here’s how to implement this solution step-by-step:

1. Create the Mapper Interface

Start by defining a mapper interface that uses MapStruct's annotations to map your DTO to the entity. You'll need to import the necessary MapStruct components for this.

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

2. Define the Custom Decryption Method

Next, you'll want to create a custom method that performs the decryption. This method will be marked with the @ Named annotation, allowing it to be referenced by the mapping. Implement it like this:

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

3. Putting It All Together

Finally, your complete mapper interface will look something like this:

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

Key Takeaways

Custom Mapping: Use MapStruct's capability to create custom mapping methods for your specific needs, such as decryption.

Handling Null Values: Ensure that you account for potential null values in your decryption method to avoid unexpected exceptions.

Code Organization: Keep your DTOs and entity mapping strategies clean and organized for better maintainability.

Conclusion

By implementing the steps outlined in this guide, you can effectively map an encrypted property in your DTO to a decrypted ID using MapStruct. This careful mapping allows you to manage data securely while still achieving the functionality needed in your application. With these techniques in place, handling encrypted values in Java becomes a seamless process, ensuring that your application remains robust and secure.

Feel free to drop comments below if you have additional questions or need further clarification on any part of the implementation!

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