Mongoose combined with Mlabs to handle a substantial volume of data

Currently, I am facing a challenge using mongoose and react to pull data from an mlab database. The issue lies in the fact that the mlab database is quite large, with a size of 200 MB and containing over 400,000 objects. This causes either a JS error (out of memory) or prolonged request times ranging from 2 to 3 minutes.

I am at a loss on how to optimize this process for better efficiency.

In addition, I have data formatting requirements but I am unsure whether it's more effective to handle this on the backend or frontend.

Your assistance in finding a solution would be greatly appreciated. Thank you in advance.

javascriptmongoosemlab

Answer №1

Give it a shot!

To retrieve data from the database using Mongoose,
you can use the following code snippet:
connection.model("myModel").find(query).limit(limit).skip(offset).exec()

The query variable will represent the search condition.

The limit parameter determines how many elements you want to fetch.

Lastly, the offset specifies the number of elements you have already loaded and wish to skip over.

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