In Django, raw SQL queries can be performed within views to retrieve or manipulate data that may not be easily accessible through Django's ORM (Object-Relational Mapping). Consider the following code in views.py:
from app.models import Picture def results(request): all = Picture.objects.all() yes = Picture.objects.filter(vote='yes').count()
This code aims to count the number of Picture objects with a vote of 'yes'. To achieve this using a raw SQL query, we can proceed as follows:
from django.db import connection def results(request): with connection.cursor() as cursor: cursor.execute("SELECT COUNT(*) FROM app_picture WHERE vote = 'yes'") row = cursor.fetchone() yes = row[0] # Extract the count from the first row all = Picture.objects.all() return render_to_response( "results.html", {"picture": picture, "all": all, "yes": yes}, context_instance=RequestContext(request), )
This code opens a connection to the database, creates a cursor to execute queries, executes a raw SQL query with the WHERE clause to filter votes as 'yes', and extracts the count from the first row of the result. It then executes a regular Django ORM query to retrieve all Picture objects and finally renders the "results.html" template with the obtained data.
Using raw SQL queries can provide more flexibility and control over the underlying SQL executed, but it's essential to consider security implications and ensure proper input validation to prevent potential SQL injection attacks.
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