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>

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)

在django中，如果你有这样的查询:

MyModel.objects.all()

do:

MyModel.objects.all().query.sql_with_params()

or:

str(MyModel.objects.all().query)

来获取SQL字符串

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。

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)

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