from django.db.models import Count, Avg, Q
from myapp.models import Student, Course
# Query
results = Student.objects.annotate(
total_courses=Count('course'),
avg_rating=Avg('course__rating')
).filter(
total_courses__gte=3,
avg_rating__gt=4.0
).values('name', 'total_courses', 'avg_rating')Aggregation and Annotation in Django ORM
The query returns students with 3+ courses and average course rating > 4.0, including the calculated total_courses and avg_rating fields.
The query will raise an error because annotate() cannot be used with filter() on annotated fields.
The query returns all students with their course counts, then filters to show only those with avg_rating > 4.0.
The annotate() method returns a dictionary queryset without including the annotated fields in the output.
Show answer & explanationAnswer
Correct answer
The query returns students with 3+ courses and average course rating > 4.0, including the calculated total_courses and avg_rating fields.
Explanation
annotate() adds calculated fields to each object in the QuerySet. These annotations can be used in subsequent filter() calls. The query returns students enrolled in 3+ courses with average rating > 4.0, including the calculated fields.
All 40 Django ORM Queries and QuerySets questions
- 1.What is a QuerySet in Django ORM?
- 2.Which method is used to retrieve all objects from a model?
- 3.What does the `filter()` method return in Django ORM?
- 4.What is the difference between `filter()` and `get()` methods?
- 5.What does the `exclude()` method do in Django ORM?
- 6.How do you order QuerySet results in Django?
- 7.What does `count()` method return?
- 8.What is QuerySet slicing used for?
- 9.What does `exists()` method do?
- 10.What does the `distinct()` method do?
- 11.Understanding Django QuerySet Evaluation
- 12.Filtering Related Objects with select_related()
- 13.Scenario:
- 14.Understanding F() Objects in Django ORM
- 15.Aggregation with Django ORM
- 16.Scenario:
- 17.Understanding Prefetch_related() for Reverse Relations
- 18.Query Chaining and Method Order
- 19.Using values() vs values_list()
- 20.Scenario:
- 21.Understanding QuerySet Lazy Evaluation and Database Queries
- 22.Scenario:
- 23.Analyzing N+1 Query Problem in Django ORM
- 24.QuerySet Method Chaining and Filter Behavior
- 25.Scenario:
- 26.Understanding QuerySet Slicing and Caching Behavior
- 27.Aggregation and Annotation in Django ORM
- 28.Scenario:
- 29.Understanding F Objects and Database-Level Operations
- 30.Scenario:
- 31.Complex Query with Multiple Aggregations and Filtering
- 32.Scenario:
- 33.Understanding Subqueries and Exists()
- 34.Raw SQL Queries and Security
- 35.Case-Insensitive Lookups and Performance
- 36.Scenario:
- 37.Understanding Query Caching and Database Hits
- 38.Bulk Operations:
- 39.Scenario:
- 40.Understanding Query Optimization with explain()
