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Скачать или смотреть Understanding Why MongoDB Atlas Uses 25 Connections Per Active Client

  • vlogize
  • 2025-09-21
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Understanding Why MongoDB Atlas Uses 25 Connections Per Active Client
Why is mongodb atlas using 25 connections per 1 active clientmongodbconnectionmongodb atlas
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Описание к видео Understanding Why MongoDB Atlas Uses 25 Connections Per Active Client

Discover the reasons behind MongoDB Atlas establishing multiple connections for each client and learn how to manage them effectively.
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This video is based on the question https://stackoverflow.com/q/62843151/ asked by the user 'Ahmed' ( https://stackoverflow.com/u/7438106/ ) and on the answer https://stackoverflow.com/a/62857043/ provided by the user 'Kirk Patrick Brown' ( https://stackoverflow.com/u/4736186/ ) 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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Understanding Why MongoDB Atlas Uses 25 Connections Per Active Client

When working with databases, connection management can often leave users scratching their heads. As a developer using MongoDB Atlas, you might find yourself wondering about the 25 connections being utilized for each active client, even when you’re the sole user logged in. In this post, we’ll address this query and help clarify why MongoDB Atlas behaves this way, along with steps to monitor and manage connections effectively.

The Connection Model in MongoDB Atlas

What Are Connections?

In database management systems, a connection refers to an instance where a client interacts with the database server. Each active connection allows the client to perform operations like reading or writing data.

Default Connection Pooling Behavior

MongoDB’s default behavior is to use connection pooling. This technique helps optimize resources by reusing existing connections instead of opening a new one for every database request.

Why 25 Connections?

Connection Pooling: When a client connects to the database, it opens a pool of connections. The default setting for this pool could be 25 connections, which means that even if only one user is active, multiple connections are available to serve requests concurrently.

Concurrency: Having multiple connections allows for better concurrency, which means that the client can execute several operations at the same time without waiting for each to complete before the next begins.

Monitoring Your Connections

If you're curious about the total connections being utilized in your MongoDB Atlas environment, you can execute the following command:

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

This command will provide the total number of connections from your clients to your MongoDB server or primary node in the cluster.

Steps to Check Connections:

Login to MongoDB Atlas: Head to your MongoDB Atlas dashboard.

Select Your Cluster: Choose the cluster you are connected to.

Access Metrics: Click on the “Metrics” tab to view real-time information about your cluster’s connections, operations, and more.

Run the Command: Use the command mentioned above in the MongoDB Shell to get a comprehensive view.

Does This Mean MongoDB Atlas Can Only Handle 20 Concurrent Clients?

No, not at all! While the default connection pool seems limited to 25 connections per client, remember the following:

MongoDB Atlas is capable of scaling significantly. The 500 available connections means that, theoretically, the setup can handle many concurrent clients (up to 500 if each utilizes the default 25 connections).

Application design and resource consumption will also play a critical role in determining how well your database handles concurrent operations.

Considerations for Connection Limits:

Increase Connection Limits: You may customize the number of connections if you find that 25 is not suitable for your applications.

Monitor Performance: Consistently monitor your connections and adjust based on performance metrics.

Final Thoughts

Understanding the connection behavior of MongoDB Atlas can greatly enhance your application's performance and efficiency. By leveraging connection pooling and monitoring your database's performance, you can ensure optimal usage of resources, accommodating the growth of your application seamlessly.

Keep these insights in mind as you continue developing with MongoDB Atlas, and you’ll be well-equipped to navigate through any connection-related concerns!

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