Over half of Django websites are being slowed down by inefficient code. This is a problem because customers leave slow websites.
Code Review Doctor checks that your code follows the Django documentation database best practices, and offers the fix to reduce developer effort.
This improves customer bounce rate by helping prevent your website from being slowed by inefficient code.
len(queryset) performs the count at application level. That is much less efficient than doing
queryset.count(), which does the calculation at database level and just returns the count.
When working with foreign keys, accessing the related field will result in a database read. That can be eliminated by using
*_id, which is the foreign key value that Django has already cached on the object to make this scenario more efficient.
queryset.count() is less efficient than checking
queryset.exists(), so use
querySet.count() if you only want the count, and use
queryset.exists() if you only want to find out if at least one result exists.
This can load every row in the database table into memory because the queryset is evaluated. Checking if a queryset is truthy/falsey is much less efficient than checking
order_by('?') can be very inefficient if you have lots of rows in the table. Moving the randomness to the application layer will probably give significant a performance improvement.
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