3 Techniques for Importing Large CSV Files into a Django App

3 Techniques for Importing Large CSV Files into a Django App

3 Techniques for Importing Large CSV Files into a Django App. Loading huge amounts of data to a database just got easier. Let's explore it with us now.

Loading huge amounts of data to a database just got easier

Problem Overview and App Configuration

It’s often the case that you want to load the data into your database from a CSV file. Usually, it’s not a problem at all, but there are some cases when performance problems can occur — especially if you want to load a massive amount of data. In this case, “massive” means a CSV file that has 500MB to 1GB of data and millions of rows.

In this article, I will focus on a situation where using the database utilities to load CSV files is not possible (like PostgreSQL COPY), as you need to do a transformation in the process.

Also, it is worth noting here that data load of this size should always be questioned and you should try to find more suitable ways to do it. Always check if you can copy the data directly to the database using database engine utilities like COPY. These kinds of operations will almost always be much more performant than using ORM and your application code.

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