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Скачать или смотреть Mastering distinct() in Kotlin for Two-Dimensional Arrays

  • vlogize
  • 2025-08-11
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Mastering distinct() in Kotlin for Two-Dimensional Arrays
Kotlin distinct() from 2 Dimensional arrayarrayskotlin
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Описание к видео Mastering distinct() in Kotlin for Two-Dimensional Arrays

Learn how to effectively use Kotlin's `distinct()` and retrieve unique values from a two-dimensional array with practical tips and code examples.
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This video is based on the question https://stackoverflow.com/q/65105315/ asked by the user 'Aldan' ( https://stackoverflow.com/u/8736532/ ) and on the answer https://stackoverflow.com/a/65105371/ provided by the user 'Some random IT boy' ( https://stackoverflow.com/u/9248718/ ) 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: Kotlin distinct() from 2 Dimensional array

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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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Mastering distinct() in Kotlin for Two-Dimensional Arrays

When working with collections in Kotlin, the distinct() function is a convenient way to remove duplicate entries. However, using it with two-dimensional arrays can lead to unexpected results if not implemented carefully. In this guide, we will explore how to handle distinct values in a two-dimensional list in Kotlin effectively.

Understanding the Problem

Consider a two-dimensional array (which in Kotlin we can represent as a list of lists). You might want to remove duplicates based on specific criteria, like unique identifiers in each sub-list. The standard use of distinct() checks for duplicates across the entirety of the sub-lists. This can be limiting if you need to keep the latest entry by an identifier instead.

For instance, you might start with the following list:

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

When using data.distinct(), the result will include all unique combinations, which is probably not what you want if you need the latest entry for each unique identifier.

The Solution: Using distinctBy()

To effectively remove duplicates based on a specific element in each sub-list, you can use distinctBy(). This function allows you to specify a selector that determines how duplicates are identified.

Step 1: Reverse the List

To retain the latest item while still applying distinctBy(), the first solution is to reverse the list. By doing this, the latest entries come first, and they are the ones that will be kept.

Here's how you can implement this:

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

Step 2: Associate Values into a Map

Another powerful approach is to use a map to store the entries by their identifiers and then retrieve the most recent entry:

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

This method essentially groups your entries by their identifiers and ensures that you always get the latest instance.

Important Considerations

Empty Lists: The methods above do not handle empty lists, which could lead to unexpected behavior. You can filter out empty lists easily with:

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

Performance: While these techniques are effective for removing duplicates, consider the performance implications when dealing with very large datasets.

Conclusion

Handling distinct items in two-dimensional arrays in Kotlin may seem tricky, but with the distinctBy() method and some clever list manipulation, you can achieve your goal efficiently. By reversing the list or using a map to associate values with their identifiers, you can ensure you keep a meaningful subset of your data.

By applying these methodologies, you'll improve your data management skills in Kotlin and enhance the robustness of your applications. Happy coding!

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