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15 / 40Django ORM Queries and QuerySetsMediumPython - Django Framework

Aggregation with Django ORM

from django.db.models import Avg, Count

# Get average price and count of products by category
result = Product.objects.values('category').annotate(
    avg_price=Avg('price'),
    product_count=Count('id')
).order_by('category')

  1. This query will fail because you cannot use both Avg() and Count() in the same annotate()

  2. This query groups products by category and calculates the average price and count of products for each category

  3. This query returns individual products with their category and average price

  4. The order_by() method is invalid when using annotate()

Show answer & explanation

Correct answer

This query groups products by category and calculates the average price and count of products for each category

Explanation

The values() method groups by category, annotate() adds aggregated fields (average price and count), and order_by() sorts results. This generates a GROUP BY query.

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All 40 Django ORM Queries and QuerySets questions

  1. 1.What is a QuerySet in Django ORM?
  2. 2.Which method is used to retrieve all objects from a model?
  3. 3.What does the `filter()` method return in Django ORM?
  4. 4.What is the difference between `filter()` and `get()` methods?
  5. 5.What does the `exclude()` method do in Django ORM?
  6. 6.How do you order QuerySet results in Django?
  7. 7.What does `count()` method return?
  8. 8.What is QuerySet slicing used for?
  9. 9.What does `exists()` method do?
  10. 10.What does the `distinct()` method do?
  11. 11.Understanding Django QuerySet Evaluation
  12. 12.Filtering Related Objects with select_related()
  13. 13.Scenario:
  14. 14.Understanding F() Objects in Django ORM
  15. 15.Aggregation with Django ORM
  16. 16.Scenario:
  17. 17.Understanding Prefetch_related() for Reverse Relations
  18. 18.Query Chaining and Method Order
  19. 19.Using values() vs values_list()
  20. 20.Scenario:
  21. 21.Understanding QuerySet Lazy Evaluation and Database Queries
  22. 22.Scenario:
  23. 23.Analyzing N+1 Query Problem in Django ORM
  24. 24.QuerySet Method Chaining and Filter Behavior
  25. 25.Scenario:
  26. 26.Understanding QuerySet Slicing and Caching Behavior
  27. 27.Aggregation and Annotation in Django ORM
  28. 28.Scenario:
  29. 29.Understanding F Objects and Database-Level Operations
  30. 30.Scenario:
  31. 31.Complex Query with Multiple Aggregations and Filtering
  32. 32.Scenario:
  33. 33.Understanding Subqueries and Exists()
  34. 34.Raw SQL Queries and Security
  35. 35.Case-Insensitive Lookups and Performance
  36. 36.Scenario:
  37. 37.Understanding Query Caching and Database Hits
  38. 38.Bulk Operations:
  39. 39.Scenario:
  40. 40.Understanding Query Optimization with explain()