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Скачать или смотреть How to Aggregate Objects into Collections in Java Using Streams

  • vlogize
  • 2025-10-08
  • 0
How to Aggregate Objects into Collections in Java Using Streams
Aggregate objects into collections in Java using streamsjavajava stream
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Описание к видео How to Aggregate Objects into Collections in Java Using Streams

Discover how to use Java Streams to group and aggregate objects efficiently into collections based on specific criteria.
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This video is based on the question https://stackoverflow.com/q/64608217/ asked by the user 'big_OS' ( https://stackoverflow.com/u/12351944/ ) and on the answer https://stackoverflow.com/a/64608462/ provided by the user 'Eklavya' ( https://stackoverflow.com/u/4207306/ ) 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: Aggregate objects into collections in Java using streams

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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How to Aggregate Objects into Collections in Java Using Streams

When working with data in Java, especially as your applications grow and the volume of data increases, having an efficient way to manage and organize this data is crucial. One common scenario you might encounter is the need to group objects into collections. In this guide, we will explore how to aggregate objects into collections using Java Streams, making the process both clean and efficient.

Understanding the Problem

Imagine you have a list of SimpleObject instances, which have the following structure:

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

For instance, you might want to organize a list of these objects into a new structure called ComplexObject, which groups SimpleObject instances by their TypeEnum. The ComplexObject would look like this:

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

In this scenario, your goal is to create aggregates that hold every SimpleObject corresponding to a specific type.

The Solution: Using Java Streams to Group and Aggregate

The best way to achieve this in Java 8 and above is by utilizing streams along with the Collectors.groupingBy collector. This collector allows you to group elements based on a specified criterion—in this case, the type of SimpleObject.

Step-by-Step Breakdown

Fetch the List of SimpleObjects: Ensure you have the list of SimpleObject items ready for processing.

Use Streams to Group by Type: Use Collectors.groupingBy to group SimpleObject instances based on their type.

Map to ComplexObject: Transform the grouped data into List<ComplexObject> using map.

Collect the Final Result: Finally, collect the data into a list.

Sample Code Implementation

Here's how the implementation would look in code:

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

Explanation of Code

dataRepo.getSimpleObjects().stream(): This initiates the stream of SimpleObject instances.

.collect(Collectors.groupingBy(SimpleObject::getType)): Groups the SimpleObjects by their type, resulting in a Map<TypeEnum, List<SimpleObject>>.

.entrySet().stream(): Prepares the entries of the map for further processing.

map(e -> new ComplexObject(e.getKey(), e.getValue())): Transforms each entry of the map into a ComplexObject, where e.getKey() is the type and e.getValue() is the list of SimpleObject.

.collect(Collectors.toList()): Finally, this collects all ComplexObject instances into a list for further use.

Conclusion

By leveraging the power of Java Streams and the Stream API, we can efficiently aggregate objects into collections based on specific criteria, simplifying our code and improving maintainability. This approach not only makes your code cleaner but also enhances performance, especially when dealing with large datasets.

Now that you've learned how to implement this process, you can apply these techniques in your own Java applications to manage your objects better.

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