我相信这应该工作，如果你使用PostgreSQL:

from django.db import connections
from app_name import models
from django.utils import timezone

# Generate a queryset, use your favorite filter, QS objects, and whatnot.
qs=models.ThisDataModel.objects.filter(user='bob',date__lte=timezone.now())

# Get a cursor tied to the default database
cursor=connections['default'].cursor()

# Get the query SQL and parameters to be passed into psycopg2, then pass
# those into mogrify to get the query that would have been sent to the backend
# and print it out. Note F-strings require python 3.6 or later.
print(f'{cursor.mogrify(*qs.query.sql_with_params())}')

django扩展有一个带参数print-sql的命令shell_plus

./manage.py shell_plus --print-sql

在django-shell中，所有执行的查询都会被打印出来

Ex.:

User.objects.get(pk=1)
SELECT "auth_user"."id",
       "auth_user"."password",
       "auth_user"."last_login",
       "auth_user"."is_superuser",
       "auth_user"."username",
       "auth_user"."first_name",
       "auth_user"."last_name",
       "auth_user"."email",
       "auth_user"."is_staff",
       "auth_user"."is_active",
       "auth_user"."date_joined"
FROM "auth_user"
WHERE "auth_user"."id" = 1

Execution time: 0.002466s [Database: default]

<User: username>

另一个选项，请参阅本文中描述的settings.py中的日志记录选项

http://dabapps.com/blog/logging-sql-queries-django-13/

Debug_toolbar会降低开发服务器上每个页面的加载速度，而日志记录则不会，因此速度更快。输出可以转储到控制台或文件，所以UI不是很好。但是对于包含大量sql的视图，通过debug_toolbar调试和优化sql可能需要很长时间，因为每个页面加载都非常慢。

使用django.db.connection.queries查看查询

from django.db import connection
print(connection.queries)

访问QuerySet对象上的原始SQL查询

 qs = MyModel.objects.all()
 print(qs.query)

从django获取查询结果到数据库(使用正确的参数替换) 你可以使用这个函数:

from django.db import connection

def print_database_query_formatted(query):
    sql, params = query.sql_with_params()
    cursor = connection.cursor()
    cursor.execute('EXPLAIN ' + sql, params)
    db_query = cursor.db.ops.last_executed_query(cursor, sql, params).replace('EXPLAIN ', '')

    parts = '{}'.format(db_query).split('FROM')
    print(parts[0])
    if len(parts) > 1:
        parts = parts[1].split('WHERE')
        print('FROM{}'.format(parts[0]))
        if len(parts) > 1:
            parts = parts[1].split('ORDER BY')
            print('WHERE{}'.format(parts[0]))
            if len(parts) > 1:
                print('ORDER BY{}'.format(parts[1]))

# USAGE
users = User.objects.filter(email='admin@admin.com').order_by('-id')
print_database_query_formatted(users.query)

输出示例

SELECT "users_user"."password", "users_user"."last_login", "users_user"."is_superuser", "users_user"."deleted", "users_user"."id", "users_user"."phone", "users_user"."username", "users_user"."userlastname", "users_user"."email", "users_user"."is_staff", "users_user"."is_active", "users_user"."date_joined", "users_user"."latitude", "users_user"."longitude", "users_user"."point"::bytea, "users_user"."default_search_radius", "users_user"."notifications", "users_user"."admin_theme", "users_user"."address", "users_user"."is_notify_when_buildings_in_radius", "users_user"."active_campaign_id", "users_user"."is_unsubscribed", "users_user"."sf_contact_id", "users_user"."is_agree_terms_of_service", "users_user"."is_facebook_signup", "users_user"."type_signup" 
FROM "users_user" 
WHERE "users_user"."email" = 'admin@admin.com' 
ORDER BY "users_user"."id" DESC

它基于这个票证评论:https://code.djangoproject.com/ticket/17741#comment:4

我把这个函数放在我项目中的一个应用程序的util文件中:

import logging
import re

from django.db import connection

logger = logging.getLogger(__name__)

def sql_logger():
    logger.debug('TOTAL QUERIES: ' + str(len(connection.queries)))
    logger.debug('TOTAL TIME: ' + str(sum([float(q['time']) for q in connection.queries])))

    logger.debug('INDIVIDUAL QUERIES:')
    for i, query in enumerate(connection.queries):
        sql = re.split(r'(SELECT|FROM|WHERE|GROUP BY|ORDER BY|INNER JOIN|LIMIT)', query['sql'])
        if not sql[0]: sql = sql[1:]
        sql = [(' ' if i % 2 else '') + x for i, x in enumerate(sql)]
        logger.debug('\n### {} ({} seconds)\n\n{};\n'.format(i, query['time'], '\n'.join(sql)))

然后，当需要时，我只是导入它，并从任何上下文(通常是视图)调用它是必要的，例如:

# ... other imports
from .utils import sql_logger

class IngredientListApiView(generics.ListAPIView):
    # ... class variables and such

    # Main function that gets called when view is accessed
    def list(self, request, *args, **kwargs):
        response = super(IngredientListApiView, self).list(request, *args, **kwargs)

        # Call our function
        sql_logger()

        return response

在模板之外这样做很好，因为如果你有API视图(通常是Django Rest框架)，它也适用于模板。