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Скачать или смотреть Maintain a Transitive Mapping in Java: Simplifying Data Relationships

  • vlogize
  • 2025-05-25
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Maintain a Transitive Mapping in Java: Simplifying Data Relationships
Maintain a transitive mapping in Javajavahashmap
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Описание к видео Maintain a Transitive Mapping in Java: Simplifying Data Relationships

Learn how to establish a transitive mapping in Java to streamline data handling without the overhead of multiple maps.
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This video is based on the question https://stackoverflow.com/q/72125751/ asked by the user 'Dawson Smith' ( https://stackoverflow.com/u/15358022/ ) and on the answer https://stackoverflow.com/a/72126347/ provided by the user 'Konrad Höffner' ( https://stackoverflow.com/u/398963/ ) 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: Maintain a transitive mapping in Java

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.

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Maintain a Transitive Mapping in Java: Simplifying Data Relationships

In many programming scenarios, we encounter complex data mappings that involve multiple relationships between different objects. A common requirement is to maintain a mapping from one object to another while also considering transitive relationships. This guide will explore how to maintain a transitive mapping in Java, allowing developers to simplify their code and reduce unnecessary overhead.

The Problem

Suppose we have the following classes and relationships:

Class A: Represents an object with a property called aId.

Class B: Represents another object with a property called bId.

Class C: Similar to class B, also contains a bId.

Class D: A composite class that holds both an instance of B and C.

Your Scenario

You have:

A List<A> containing numerous objects of type A.

You perform database operations to create a List<B>.

You require a mapping from A to B, so you create a Map<A, B>.

From the List<B>, you make a bulk API call that fetches a List<D>.

From List<D>, you need a mapping from B to C using Map<B, C>.

The challenge lies in needing a mapping from A to C directly, without maintaining two separate maps (A to B and B to C). The objective is to simplify this to a single transitive mapping.

The Solution

To tackle this issue, Java provides flexible data structures and methodologies. Below are two methods to maintain transitive mappings: using a for loop and Java Streams.

Method 1: Using a For Loop

First, let's visualize how we can solve this using a straightforward for loop:

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

Explanation

Step 1: Define two HashMaps (m1 and m2) for mapping relationships.

Step 2: Create a new combined HashMap to hold the direct mappings from A to C.

Step 3: Iterate through m1, using its values to fetch entries from m2 and populate the combined map.

Method 2: Using Streams

Alternatively, you can leverage Java Streams for a more modern and concise solution:

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

Explanation

Step 1: Similar to the previous method, start with two HashMaps.

Step 2: Convert the keys of m1 into a stream and then use the Collectors.toMap() method to create the combined map.

Step 3: Map each key to its corresponding value from m2 by fetching the necessary value from m1.

Conclusion

Establishing a transitive mapping in Java helps streamline your data handling processes, reduce complexity, and enhance code readability. Whether you opt for traditional for loops or the modern Java Streams, the approaches discussed here can help you maintain efficient mappings from one object type to another without unnecessary overhead.

By implementing these techniques, you can simplify your codebase and ensure that data relationships are both clear and manageable.

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