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MongoDB 16mb Limit Workaround

by | Jul 13, 2023

Learn more about MongoDB 16mb Limit Workaround from our experts. Our MongoDB Support team is here to help you with your questions and concerns.

MongoDB 16mb Limit Workaround

Did you know that MongoDB has a maximum document size limit of 16MB?

Although this a sufficient for most use cases, in some scenarios that involve unbounded arrays or sub-documents it may not be enough.

Hence, we need a workaround to the issue in order to create scalable MongoDB databases.

Our experts say users usually hit the 16mb limit by storing unbounded arrays or sub-documents.

For instance, suppose we are building a social platform for posting and commenting. This involves a schema as seen below:

MongoDB 16mb Limit Workaround

Although this schema will work for most users, it will not be enough for people with a large social following. Hence, we have to overcome the 16 MB MongoDB document limitation.

We can resolve the issue by adjusting how our data is stored and fetched. This involves using the “subset pattern”. Here’s how we can refactor the schema into two collections:

MongoDB 16mb Limit Workaround schema

This solution will make sure that we do not hit the limit and that the max document size remains small.

As seen above, we cannot increase the document size in MongoDB. This is where the above workaround comes in handy.

In a way, it is a good thing that Mongo does not allow documents without an MB limit as it may lead to excessive amounts of bandwidth, which is bad for everyone.

Our experts recommend not using MongoDB as an object storage of sorts. In fact, if we want to store files, we can do it via s3 or Backblaze with a CDN over it like Bunny CDN.

Let us know in the comments if you need help working around the MongoDB 16MB.

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

In brief, our Support Techs demonstrated a workaround for the MongoDB 16 MB limit.

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2 Comments

  1. Denisa

    Hi! I need help working around the MongoDB 16MB. I use Fiware Context Broker, which is based on MongoDB. The difficulty comes from the fact that I use the Docker images for both of them. Furthermore, I have a python script that automatically sends data to the context broker through a request.post method, therefore I have no control over the intermediate data. This data y very large, and once it gets to the context broker it cannot be posted to the database. How would I do an workaround for this?

    Reply
    • Krishna Priya

      Hello,
      Our experts are available to assist you with your concerns. We would be delighted to discuss this with you via our live chat feature. Simply click on the icon located in the bottom right corner to get started.

      Reply

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