Скачать или смотреть Improving Your Java 8 Code: Making Logic Cleaner and More Efficient

Discover how to transform your logic into a cleaner and more efficient version using `Java 8` features and techniques.
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This video is based on the question https://stackoverflow.com/q/70676334/ asked by the user 'Sajal Saxena' ( https://stackoverflow.com/u/5327712/ ) and on the answer https://stackoverflow.com/a/70678972/ provided by the user 'Hadi' ( https://stackoverflow.com/u/3669698/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Upgrading Your Java Logic: A Deep Dive into Making Code Cleaner and More Efficient

In software development, the clarity and efficiency of your code are paramount. You might encounter situations where your logic works perfectly well but appears convoluted. In this post, we'll explore how to make your Java 8 code cleaner and more efficient by eliminating unnecessary complexity. We'll specifically look at an example provided, focusing on a method that processes a HashMap of articles and returns a specific order string based on the logic defined.

Understanding the Problem

The original Java logic received had been designed to evaluate a HashMap of articles identified by their types (like CLOTH and FOOD) and their status (like LIVE or not). While to some extent the logic was sound, it was not as readable or concise as it could be. For instance:

It unnecessarily checked if both article types are present multiple times.

It contained loops and condition checks that could be simplified significantly.

The objective here is to transform this logic using Java 8 features such as Streams to make it cleaner and easier to understand, while also improving efficiency.

Solution Breakdown

To streamline the logic, we'll break it into clear, manageable steps while enhancing readability. Let’s see how we can refactor this code.

Step 1: Check for Null and Size

First, we make sure that the input Map is not null and that it contains exactly two types of articles. If either condition fails, the method should immediately return "COMPLETE".

Step 2: Directly Evaluate Conditions

If the map size is exactly two, we can directly check if both CLOTH and FOOD are live. If they are, return the string representation of ArticleType.CLOTH. This eliminates the need for unnecessary looping.

Step 3: Use Streams

For any other conditions, we can use Streams to filter the entries of the Map. By looking for the first entry where the value is LIVE, we can return the corresponding key, or return "COMPLETE" if no such entry exists.

Refactored Code Snippet

Here is how the complete code looks after applying these concepts:

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

Conclusion

By rewriting the given logic using Java 8 features like Streams, we not only improved the code's efficiency but also made it cleaner and easier to read. Each step in our new logic is straightforward, ensuring that anyone who reads it can quickly understand its purpose without wrestling with cumbersome loops and conditionals.

Optimizing code isn't just about performance; it's also about maintainability and clarity. Utilizing modern Java features can dramatically improve your coding practice and overall application quality. Happy coding!