Speed up your database inserts with Django ORM’s bulk_create()

If you’re working with Django and need to insert a large amount of data into your database, you may have noticed that the process can be slow. This is because Django’s default way of inserting data one row at a time can be inefficient, especially when dealing with a large number of records. However, there is a solution to speed up your database inserts – Django ORM’s bulk_create() method.

The bulk_create() method allows you to insert multiple rows into a database table with a single query, which can significantly improve the performance of your application. This is especially useful when working with large datasets or when you need to import data from external sources.

Here’s an example of how you can use bulk_create() in Django:

from myapp.models import MyModel

# Create a list of objects to insert
objects_to_insert = [
    MyModel(field1='value1', field2='value2'),
    MyModel(field1='value3', field2='value4'),
    # ... add more objects as needed
]

# Insert the objects into the database
MyModel.objects.bulk_create(objects_to_insert)

By using bulk_create(), you can insert all the objects in the list with a single query, which can be much faster than inserting them one at a time. This can be especially beneficial when dealing with thousands or even millions of records.

It’s important to note that there are some limitations to using bulk_create(). For example, it does not trigger any signals or perform any model validation, so you will need to handle those aspects manually if necessary. Additionally, bulk_create() may not work with certain database backends, so it’s a good idea to test its performance on your specific setup.

Overall, if you need to insert a large amount of data into your database with Django, using the bulk_create() method can be a great way to improve the performance of your application. Give it a try and see how much time you can save!