没有其他答案涵盖这个方法，所以:

我发现迄今为止最有用、最简单、最可靠的方法是询问您的数据库。例如，在Linux的Postgres上，你可能会这样做:

sudo su postgres
tail -f /var/log/postgresql/postgresql-8.4-main.log

每个数据库的过程略有不同。在数据库日志中，你不仅可以看到原始SQL，还可以看到django在系统上设置的任何连接或事务开销。

看一下debug_toolbar，它对调试非常有用。

文档和源代码可以在http://django-debug-toolbar.readthedocs.io/上找到。

我为此开发了一个扩展，所以你可以很容易地在你的视图函数上放一个装饰器，看看有多少查询被执行了。

如何安装:

$ pip install django-print-sql

用作上下文管理器:

from django_print_sql import print_sql

# set `count_only` to `True` will print the number of executed SQL statements only
with print_sql(count_only=False):

  # write the code you want to analyze in here,
  # e.g. some complex foreign key lookup,
  # or analyzing a DRF serializer's performance

  for user in User.objects.all()[:10]:
      user.groups.first()

装饰:用作装饰:

from django_print_sql import print_sql_decorator


@print_sql_decorator(count_only=False)  # this works on class-based views as well
def get(request):
    # your view code here

Github: https://github.com/rabbit-aaron/django-print-sql

你可以使用连接。在Django中运行原始SQL查询，如下所示:

# "store/views.py"

from django.db import transaction
from .models import Person
from django.db import connection
from django.http import HttpResponse

@transaction.atomic
def test(request):
    Person.objects.create(name="John") # INSERT
    
    qs = Person.objects.select_for_update().get(name="John") # SELECT FOR UPDATE
    qs.name = "Tom"
    qs.save() # UPDATE
    qs.delete() # DELETE
                 
    for query in connection.queries: # Here
        print(query)

    return HttpResponse("Test")

然后，原始查询打印在控制台，如下所示:

{'sql': 'INSERT INTO "store_person" ("name") VALUES (\'John\') RETURNING "store_person"."id"', 'time': '0.000'}
{'sql': 'SELECT "store_person"."id", "store_person"."name" FROM "store_person" WHERE "store_person"."name" = \'John\' LIMIT 21 FOR UPDATE', 'time': '0.000'}      
{'sql': 'UPDATE "store_person" SET "name" = \'Tom\' WHERE "store_person"."id" = 179', 'time': '0.000'}
{'sql': 'DELETE FROM "store_person" WHERE "store_person"."id" IN (179)', 'time': '0.000'}
[24/Dec/2022 06:29:32] "GET /store/test/ HTTP/1.1" 200 9

然后，把reset_queries()放在Person.objects.select_for_update()之后，如果你想只得到UPDATE和DELETE查询，而没有INSERT和SELECT FOR UPDATE查询，如下所示:

# "store/views.py"

from django.db import transaction
from .models import Person
from django.db import reset_queries
from django.db import connection
from django.http import HttpResponse

@transaction.atomic
def test(request):
    Person.objects.create(name="John") # INSERT
    
    qs = Person.objects.select_for_update().get(name="John") # SELECT FOR UPDATE
    reset_queries() # Here
    qs.name = "Tom"
    qs.save() # UPDATE
    qs.delete() # DELETE
                 
    for query in connection.queries: # Here
        print(query)

    return HttpResponse("Test")

然后，只打印UPDATE和DELETE查询，不打印INSERT和SELECT FOR UPDATE查询，如下所示:

{'sql': 'UPDATE "store_person" SET "name" = \'Tom\' WHERE "store_person"."id" = 190', 'time': '0.000'}
{'sql': 'DELETE FROM "store_person" WHERE "store_person"."id" IN (190)', 'time': '0.000'}
[24/Dec/2022 07:00:01] "GET /store/test/ HTTP/1.1" 200 9

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())}')

from django.db import reset_queries, connection
class ShowSQL(object):
    def __enter__(self):
        reset_queries()
        return self

    def __exit__(self, *args):
        for sql in connection.queries:
            print('Time: %s\nSQL: %s' % (sql['time'], sql['sql']))

然后你可以使用:

with ShowSQL() as t:
    some queries <select>|<annotate>|<update> or other 

它打印

时间:% s SQL: % s