Скачать или смотреть Building a .NET Search Engine with Minimal Endpoints

Learn how to create a `.NET` search engine that simplifies your endpoint management by combining queries. This guide will provide practical solutions for effective search implementation using `.NET`, Angular, and SQL Server.
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This video is based on the question https://stackoverflow.com/q/68483356/ asked by the user 'Kamil' ( https://stackoverflow.com/u/16434201/ ) and on the answer https://stackoverflow.com/a/68486354/ provided by the user 'Chris Holden' ( https://stackoverflow.com/u/16501792/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Creating a Simplified .NET Search Engine

Building a search engine can be a daunting task, especially when confronted with the complexities of multiple endpoints. Many developers stumble upon an overwhelming number of endpoints when trying to implement search queries. If you find yourself in a similar situation while building a search engine using .NET, Angular, and SQL Server, you’re not alone. In this post, we will explore how to streamline your search engine by reducing the number of required endpoints and making your queries more efficient.

Understanding the Problem

When creating a search function, developers often create separate endpoints for every possible filter or parameter. For instance, one might initially set up endpoints like these:

HttpGet("searched/{term}")

HttpGet("searched/{categoryId}")

HttpGet("searched/{localization}")

HttpGet("searched/{categoryId}/{localization}/{term}")

While this approach seems straightforward, it can quickly become unmanageable, especially as the complexity of your search filters grows. The challenge is to make your search queries flexible enough to accommodate various parameters without the clutter of numerous endpoints.

Finding the Solution

Combine Parameters Wisely

Instead of creating separate endpoints for each filter, consider using a single endpoint that accepts multiple parameters. The fundamental idea here is to leverage a flexible query structure. Here’s how you can do that:

Use a Single Endpoint: Create a universal endpoint for search queries. For example:

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

Pass Parameters as Query Strings: Utilize key-value pairs to pass the search parameters. This can look like:

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

Example Implementation

Consider an example where you want to implement a search endpoint for hotels. Instead of defining numerous endpoints, you can have the following:

Fetching All Hotels:

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

Searching Specific Hotels:

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

This combined approach keeps your URLs concise and organized while allowing for the flexibility of querying different conditions.

Structuring Your Code

In your controller, you can set up a structure that captures these parameters. Here’s a simple example:

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

Benefits of This Approach

Reduced Complexity: Fewer endpoints mean less code to manage and maintain.

Improved Flexibility: A single endpoint can handle various search conditions, making it easier to modify as your requirements evolve.

Simplified API: This approach provides a cleaner, more user-friendly API for frontend developers using Angular.

Conclusion

Building a .NET search engine doesn’t have to lead to an explosion of endpoints. By consolidating your search parameters using a single flexible endpoint, you can create a more efficient, manageable, and scalable search solution. This strategy not only improves the backend management but also enhances the overall user experience. Give this streamlined approach a try and see how it can transform your development process!