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Скачать или смотреть How to Efficiently Handle Null Validation in Java and Spring Boot Using Java 8

  • vlogize
  • 2025-10-02
  • 2
How to Efficiently Handle Null Validation in Java and Spring Boot Using Java 8
How to avoid multiple or(||) for null validation in java springbootjavaspring bootjava 8
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Описание к видео How to Efficiently Handle Null Validation in Java and Spring Boot Using Java 8

Discover a cleaner approach to null validation in your Java Spring Boot applications with the Java 8 Stream API. Learn how to simplify your input validation logic effectively.
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This video is based on the question https://stackoverflow.com/q/62712825/ asked by the user 'SSK' ( https://stackoverflow.com/u/3493829/ ) and on the answer https://stackoverflow.com/a/62712922/ provided by the user 'f1sh' ( https://stackoverflow.com/u/214525/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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How to Efficiently Handle Null Validation in Java and Spring Boot Using Java 8

Null validation can often become cumbersome when dealing with multiple inputs in Java. If you're using Spring Boot and want to streamline your approach to validating user inputs for null values, you're in the right place. In this guide, we will explore how to efficiently avoid using multiple or (||) conditions for null validation in Java, particularly focusing on a clean implementation using Java 8's Stream API.

The Problem

You might encounter a scenario where you need to handle user inputs where only one of the multiple keys can be provided at a time. For instance, consider three string inputs: key1, key2, and key3. The need is to validate that:

Exactly one key is provided (i.e., not null).

No two or more keys should be non-null simultaneously.

A naive way to do this in Java would involve a series of conditional statements which can quickly become messy and hard to maintain.

Example of the Original Validation Logic

In the original approach, your validation code might look something like this:

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

Looking at the above code, it's clear it quickly grows complex with each additional input.

The Solution with Java 8 Stream API

Fortunately, Java 8 provides a more elegant and efficient solution to handle such validation using the Stream API, which allows for a more functional programming style. This not only simplifies the code but also makes it more readable.

Step-by-Step Breakdown of the Solution

Here is how you can implement the null validation using the Stream API:

Stream Creation: Utilize Stream.of() to create a stream from the inputs.

Filtering Non-Null Values: Use filter(Objects::nonNull) to filter out the non-null values.

Counting Non-Null Inputs: Call .count() to get the number of non-null values.

Validation Check: Finally, validate that exactly one key is provided.

Implementation

Here's how the refined code looks:

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

Explanation

Stream.of(key1, key2, key3): This creates a new stream containing the inputs.

filter(Objects::nonNull): This filters the stream to only include non-null values, checking each input one-by-one.

count(): This count method returns the total number of non-null values present in the stream.

count != 1: This simple conditional checks if there is not exactly one non-null input, and if true, it throws an exception indicating invalid input.

Benefits of Using Stream API

Clarity: The code is cleaner and easier to read.

Maintainability: Adding or removing inputs requires minimal changes to the code.

Reduced Complexity: Reduces the need for multiple conditions and nested statements.

Conclusion

Adopting the Stream API for null validation in Java can significantly enhance the clarity and efficiency of your code. By utilizing Stream.of() alongside filter() and count(), you can avoid complex conditional statements while maintaining robust input validation.

By simplifying your validation logic, not only do you improve the maintainability of your test cases, but you also create a clearer path for future development. Embrace the power of Java 8 and streamline your Java Spring Boot applications to be both elegant and efficient!

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