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Скачать или смотреть How to Efficiently Iterate Over a Map Containing List Objects Using Java 8 Streams

  • vlogize
  • 2025-10-12
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How to Efficiently Iterate Over a Map Containing List Objects Using Java 8 Streams
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Описание к видео How to Efficiently Iterate Over a Map Containing List Objects Using Java 8 Streams

Discover how to use Java 8 Streams for iterating over a Map with List objects and collecting them into a separate List.
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This video is based on the question https://stackoverflow.com/q/67589952/ asked by the user 'Vishal' ( https://stackoverflow.com/u/9822260/ ) and on the answer https://stackoverflow.com/a/67590128/ provided by the user 'Most Noble Rabbit' ( https://stackoverflow.com/u/13312820/ ) 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: How to iterate over a Map that contains List Objects as value and get those as a separate List Object using Java 8 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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Efficiently Iterate Over a Map Containing List Objects Using Java 8 Streams

When working with collections in Java, especially with nested structures, it can be a challenge to efficiently extract data. A common scenario involves iterating over a Map that contains List objects as values, and collecting those lists into a separate collection. In this post, we'll explore how to tackle this problem using Java 8 Streams.

Understanding the Problem

Let's consider we have two classes:

Company: Represents a company with a name, registration ID, and a list of employees.

Employee: Represents an employee with an ID and a name.

Here's a quick look at our class definitions:

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

Now, we have a Map<String, Company> where each Company object contains a list of Employee objects. The goal is to iterate over this map and compile a separate list containing all employees from every company.

The Solution

Using Java 8 Streams, we can achieve this with a clean and concise approach. Below is a step-by-step breakdown of the process.

Step 1: Create the Map and Populate it

First, we'll create our Map and populate it with some Company objects, each containing a list of Employee instances.

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

Step 2: Use Streams to Extract Employees

Now, we can use the stream() method to work with the map values, flatten the employee lists, and accumulate them into a new list. Here's the code to do that:

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

Explanation:

stringCompanyMap.values().stream(): This creates a stream of the Company objects stored in the map.

flatMap(company -> company.employee.stream()): This flattens the stream of employees from each Company. Instead of having a stream of lists (one for each company), we get a single stream of employees.

collect(Collectors.toList()): This collects all the Employee objects into a new List<Employee>.

Step 3: View the Output

Finally, we print out all employees to verify our result:

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

This will output:

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

Conclusion

By leveraging the power of Java 8 Streams, we can efficiently iterate over a Map containing List objects, seamlessly flattening and collecting the data into a separate list. This not only makes our code cleaner but also enhances performance through functional programming practices.

Now you're equipped to handle similar tasks in your own Java applications with confidence!

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