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Скачать или смотреть Transforming a Flat Schema into a Complex Hierarchy with Dotnet AutoMapper

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  • 2025-09-27
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Transforming a Flat Schema into a Complex Hierarchy with Dotnet AutoMapper
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Описание к видео Transforming a Flat Schema into a Complex Hierarchy with Dotnet AutoMapper

Learn how to efficiently convert a flat object structure into a complex hierarchical format in Dotnet using AutoMapper.
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This video is based on the question https://stackoverflow.com/q/63406924/ asked by the user 'Derek Williams' ( https://stackoverflow.com/u/879247/ ) and on the answer https://stackoverflow.com/a/63454873/ provided by the user 'Prolog' ( https://stackoverflow.com/u/8065832/ ) 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: Dotnet AutoMapper Flat schema to complex hierarchy

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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Transforming a Flat Schema into a Complex Hierarchy with Dotnet AutoMapper

When working with data in software development, it's not uncommon to encounter a flat structure that needs to be reformed into a more complex, hierarchical format. This can often pose challenges for programmers, especially when attempting to apply tools like Dotnet's AutoMapper for the transformation. In this post, we will explore how to effectively map a flat schema to a more intricate object layout using AutoMapper.

Understanding the Problem

Imagine you have a database table structured in a very flat format. This format can be limiting, as it does not reflect the inherent relationships or hierarchy that you wish to represent in your application. Here’s an example of a simple flat object:

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

You desire to transform this flat object into a more structured format, which looks something like this:

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

Within the resulting object, you would like to define nested categories and subcategories, resembling the following:

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

The challenge here is to accurately map keys from the FlatObject to the deeply nested structures of ResultObject and its associated categories and subcategories.

The Solution: Utilizing AutoMapper

To achieve the desired transformation with AutoMapper, you will need to follow these steps:

Step 1: Create a Mapping Configuration

In AutoMapper, you can define how the properties of one object should be mapped to another using the CreateMap method. In this scenario, you need to create a mapping from ResultObject to FlatObject and then use the ReverseMap() method.

Example Mapping Code

Here’s how you can set up the mapping configuration:

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

Step 2: Understanding the Mapping Logic

Mapping Logic Breakdown: Each .ForMember call defines how a property in the FlatObject maps to a corresponding property in the ResultObject.

For example, the first line maps key1 from FlatObject to the key1 property of the nested object sCategory1 within category1.

Step 3: Testing the Mapping

After creating the mapping configuration, ensure that you test it properly. You can use AutoMapper's Mapper.Map<TDestination>(source) method to perform mapping operations. Verify that the properties are populated as expected and that the structure matches your intended format.

Conclusion

Transforming a flat schema into a more complex hierarchy can be facilitated through AutoMapper by setting defining clear mapping configurations. Utilizing methods like CreateMap and ReverseMap, along with specifying property mappings, enables a straightforward way to achieve a structured output. With this knowledge, you can effectively organize your data, making it more manageable and easier to work with within your applications.

Feel free to experiment with your specific classes and mapping needs, keeping in mind that clarity and accuracy are key in maintaining the integrity of your object models. Happy coding!

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