Learn How to Avoid the N+1 Problem in Django REST Framework

Written by ahmadsalahnwira | Published 2023/04/02
Tech Story Tags: python | django | django-tips | performance | coding | programming | database | querying

TLDRThe N+1 problem is a common issue that can occur when using the Django REST framework serializer. It happens when the code makes multiple database queries to retrieve related data, instead of using a single query with a JOIN statement. This can significantly slow down the performance of your application.`select_related` andĀ `prefetch_related' are two methods that can help reduce the number of database queries needed.via the TL;DR App

The N+1 problem is a common issue that can occur when using the Django REST framework serializer. It happens when the code makes multiple database queries to retrieve related data, instead of using a single query with a JOIN statement. This can significantly slow down the performance of your application.

One way to fix this issue is by using theĀ select_relatedĀ andĀ prefetch_relatedĀ methods on your queryset. These methods allow you to specify which related data should be fetched in a single database query, reducing the number of queries needed.

from django.db import models

class Author(models.Model):
    name = models.CharField(max_length=100)

class Book(models.Model):
    title = models.CharField(max_length=100)
    author = models.ForeignKey(Author, on_delete=models.CASCADE)

# Without select_related
books = Book.objects.all()
for book in books:
    print(book.author.name) # This will make a separate database query for each book

# With select_related
books = Book.objects.select_related('author').all()
for book in books:
    print(book.author.name) # This will make only one database query

In this example, we have two models:Ā AuthorĀ andĀ Book. TheĀ BookĀ model has a foreign key to theĀ AuthorĀ model. Without usingĀ select_related, retrieving the name of the author for each book would require a separate database query for each book. By usingĀ select_related, we can fetch all the related data in a single query.

select_related and prefetch_related

tl;dr
select_relatedĀ is used for one-to-one and many-to-one relationships whileĀ prefetch_relatedĀ is used for one-to-many and many-to-many relationships.

select_relatedĀ andĀ prefetch_relatedĀ are two methods in Djangoā€™s ORM that can help reduce the number of database queries.Ā select_relatedis used to retrieve related objects in a single query when you know you will be accessing the related objects. It works by creating a SQL join and including the fields of the related object in the SELECT statement.


On the other hand,prefetch_relateddoes a separate lookup for each relationship and does the ā€˜joiningā€™ in Python. This can be more efficient when dealing with many-to-many or many-to-one relationships.

select_related

select_relatedĀ is a method you can use on a Django QuerySet to optimize database queries when retrieving related data. It works by creating a SQL JOIN statement to retrieve the related data in a single query, instead of making multiple queries.

select_relatedĀ is useful when you have a foreign key or one-to-one relationship between two models. You can use it to specify which related fields should be fetched in the same query as the main model.

from django.db import models

class Author(models.Model):
    name = models.CharField(max_length=100)
class Book(models.Model):
    title = models.CharField(max_length=100)
    author = models.ForeignKey(Author, on_delete=models.CASCADE)
# Without select_related
books = Book.objects.all()
for book in books:
    print(book.author.name) # This will make a separate database query for each book
# With select_related
books = Book.objects.select_related('author').all()
for book in books:
    print(book.author.name) # This will make only one database query

In this example, we have two models:Ā AuthorĀ andĀ Book. TheĀ BookĀ model has a foreign key to theĀ AuthorĀ model. Without usingĀ select_related, retrieving the name of the author for each book would require a separate database query for each book. By usingĀ select_related, we can fetch all the related data in a single query.

prefetch_related

prefetch_relatedĀ is another method you can use on a Django QuerySet to optimize database queries when retrieving related data. It works by fetching the related data in a separate query and then associating it with the main model in Python.

prefetch_relatedĀ is useful when you have a many-to-many or reverse foreign key relationship between two models. You can use it to specify which related fields should be fetched in a separate query and then associated with the main model.

from django.db import models

class Author(modpels.Model):
    name = models.CharField(max_length=100)
    books = models.ManyToManyField('Book')
class Book(models.Model):
    title = models.CharField(max_length=100)
# Without prefetch_related
authors = Author.objects.all()
for author in authors:
    print(author.name)
    for book in author.books.all():
        print(book.title) # This will make a separate database query for each author
# With prefetch_related
authors = Author.objects.prefetch_related('books').all()
for author in authors:
    print(author.name)
    for book in author.books.all():
        print(book.title) # This will make only two database queries

In this example, we have two models:Ā AuthorĀ andĀ Book, with a many-to-many relationship between them. Without usingĀ prefetch_related, retrieving the books for each author would require a separate database query for each author. By usingĀ prefetch_related, we can fetch all the related data in two queries: one for the authors and one for the books.

In addition to the the code samples, copy.ai was used to edit this article.


Written by ahmadsalahnwira | Experienced software engineer, passionate about building elegant solutions to humanity's questions
Published by HackerNoon on 2023/04/02