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Скачать или смотреть Handling Multiple Calls in ASP.NET CORE WEB API with a COM OBJECT

  • vlogize
  • 2025-08-26
  • 1
Handling Multiple Calls in ASP.NET CORE WEB API with a COM OBJECT
Asp.NET CORE WEB API with a COM OBJECTc#multithreadingcomasp.net core webapi
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Описание к видео Handling Multiple Calls in ASP.NET CORE WEB API with a COM OBJECT

Learn how to efficiently manage concurrent calls to your ASP.NET Core Web API while dealing with a COM object that only allows one database connection at a time.
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This video is based on the question https://stackoverflow.com/q/64324607/ asked by the user 'GTO' ( https://stackoverflow.com/u/9757378/ ) and on the answer https://stackoverflow.com/a/64325310/ provided by the user 'Athanasios Kataras' ( https://stackoverflow.com/u/1643676/ ) 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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Managing Concurrent Calls in ASP.NET Core Web API with a COM Object

When building a web API using ASP.NET Core, you may encounter situations where your application needs to handle multiple requests simultaneously. A common challenge is when these requests involve a COM object that is limited to a single database connection at any given time. This can lead to errors when simultaneous requests are made, as they can interfere with each other, causing the first operation to fail. In this guide, we'll explore how to manage this issue effectively by implementing a simple repository pattern to ensure smooth operation of your web API.

The Problem

In your scenario, you have two controllers, Clients and Invoices, which rely on a single COM object for database access. When both controllers are invoked simultaneously, your application faces the following issues:

Connection Limits: The COM object can only handle one connection at a time, which means that if two requests come in at the same moment, one will fail.

Concurrency Challenges: Handling concurrency in web applications demands careful management of shared resources to avoid conflicts and errors.

The Solution: Using a Repository Pattern

To manage concurrent requests, you can implement a repository pattern that controls access to the COM object. This pattern acts as a facade, abstracting the database operation details and providing a single point of access for your data manipulations. Here’s how to get started:

Step 1: Create a Repository Class

Implement a repository class that includes thread-safe access to your COM object. You can achieve this by introducing a lock mechanism around your database access code.

Example Implementation

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

Step 2: Register Repository as a Singleton

Next, you should register your newly created repository in the ASP.NET Core Dependency Injection (DI) container. By registering it as a singleton, you'll ensure that it is instantiated once and reused across multiple controller calls.

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

Note: Replace DataObject with the actual domain model name specific to your application.

Benefits of This Approach

Implementing a repository pattern and utilizing locks to manage access has several advantages:

Single Access Point: Ensures that all data access passes through a controlled channel, reducing the risk of connection conflicts.

Improved Concurrency Handling: By managing access to the COM object, you allow your application to handle simultaneous requests without failure.

Simplified Code Maintenance: Centralizing your data access logic makes it easier to maintain and extend in the future.

Conclusion

Handling multiple concurrent requests in an ASP.NET Core Web API that interacts with a COM object can be challenging, but by following the repository pattern approach, you can effectively manage database access. Using locks, you ensure that only one request interacts with the COM object at a time, preventing errors and maintaining smooth operation even under load. With this strategy, your application will be more robust and prepared to handle real-world requirements.

By implementing a simple and effective solution like the one described, you can save time troubleshooting issues and focus on enhancing the functionality of your API. Embrace this pattern to future-proof your application against similar challenges!

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