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

我已经做了一个你可以使用的小片段:

from django.conf import settings
from django.db import connection


def sql_echo(method, *args, **kwargs):
    settings.DEBUG = True
    result = method(*args, **kwargs)
    for query in connection.queries:
        print(query)
    return result


# HOW TO USE EXAMPLE:
# 
# result = sql_echo(my_method, 'whatever', show=True)

它以参数函数(包含sql查询)来检查和args, kwargs需要调用该函数。结果它返回函数返回的内容，并在控制台中打印SQL查询。

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。

虽然可以使用提供的代码来完成，但我发现使用调试工具栏应用程序是显示查询的一个很好的工具。你可以从github下载。

这使您可以选择显示在给定页面上运行的所有查询以及查询所花费的时间。它还汇总了页面上的查询数量以及用于快速查看的总时间。当你想了解Django ORM在幕后做了什么时，这是一个很好的工具。它也有很多其他不错的功能，你可以使用，如果你喜欢。

查询实际上嵌入在模型API中:

q = Query.objects.values('val1','val2','val_etc')

print(q.query)

为CREATE / UPDATE / DELETE /命令生成SQL，这在Django中是即时的

from django.db.models import sql

def generate_update_sql(queryset, update_kwargs):
    """Converts queryset with update_kwargs
    like : queryset.update(**update_kwargs) to UPDATE SQL"""

    query = queryset.query.clone(sql.UpdateQuery)
    query.add_update_values(update_kwargs)
    compiler = query.get_compiler(queryset.db)
    sql, params = compiler.as_sql()
    return sql % params

from django.db.models import sql

def generate_delete_sql(queryset):
    """Converts select queryset to DELETE SQL """
    query = queryset.query.chain(sql.DeleteQuery)
    compiler = query.get_compiler(queryset.db)
    sql, params = compiler.as_sql()
    return sql % params

from django.db.models import sql

def generate_create_sql(model, model_data):
    """Converts queryset with create_kwargs
    like if was: queryset.create(**create_kwargs) to SQL CREATE"""
    
    not_saved_instance = model(**model_data)
    not_saved_instance._for_write = True

    query = sql.InsertQuery(model)

    fields = [f for f in model._meta.local_concrete_fields if not isinstance(f, AutoField)]
    query.insert_values(fields, [not_saved_instance], raw=False)

    compiler = query.get_compiler(model.objects.db)
    sql, params = compiler.as_sql()[0]
    return sql % params

测试和使用

    def test_generate_update_sql_with_F(self):
        qs = Event.objects.all()
        update_kwargs = dict(description=F('slug'))
        result = generate_update_sql(qs, update_kwargs)
        sql = "UPDATE `api_event` SET `description` = `api_event`.`slug`"
        self.assertEqual(sql, result)

    def test_generate_create_sql(self):
        result = generate_create_sql(Event, dict(slug='a', app='b', model='c', action='e'))
        sql = "INSERT INTO `api_event` (`slug`, `app`, `model`, `action`, `action_type`, `description`) VALUES (a, b, c, e, , )"
        self.assertEqual(sql, result)