Django 懒加载实现方法
Django 懒加载实现方法在Django中，我们都知道当我们all之后是不会马上去查询数据的，当我们真正使用的时候，才会去触发查询操作。
模型类
下面我将带着大家从源码的角度一步一步解析。
from django.db import models
# Create your models here.
class Demo1(models.Model):
name = models.CharField(max_length=100)
age = models.IntegerField()
def __str__(self):
return self.name看一下这几行代码发生了什么
使用是继承了models.Model。去看一下models.Model做了什么
# models.Model
class Model(AltersData, metaclass=ModelBase):
pass可以看到把ModelBase当成了元类，那我们就去再看一下ModelBase
class ModelBase(type):
"""Metaclass for all models."""
def __new__(cls, name, bases, attrs, **kwargs):
super_new = super().__new__
# Also ensure initialization is only performed for subclasses of Model
# (excluding Model class itself).
parents =
if not parents:
return super_new(cls, name, bases, attrs)
# Create the class.
module = attrs.pop("__module__")
new_attrs = {"__module__": module}
classcell = attrs.pop("__classcell__", None)
if classcell is not None:
new_attrs["__classcell__"] = classcell
attr_meta = attrs.pop("Meta", None)
# Pass all attrs without a (Django-specific) contribute_to_class()
# method to type.__new__() so that they're properly initialized
# (i.e. __set_name__()).
contributable_attrs = {}
for obj_name, obj in attrs.items():
if _has_contribute_to_class(obj):
contributable_attrs = obj
else:
new_attrs = obj
new_class = super_new(cls, name, bases, new_attrs, **kwargs)
abstract = getattr(attr_meta, "abstract", False)
meta = attr_meta or getattr(new_class, "Meta", None)
base_meta = getattr(new_class, "_meta", None)
app_label = None
# Look for an application configuration to attach the model to.
app_config = apps.get_containing_app_config(module)
if getattr(meta, "app_label", None) is None:
if app_config is None:
if not abstract:
raise RuntimeError(
"Model class %s.%s doesn't declare an explicit "
"app_label and isn't in an application in "
"INSTALLED_APPS." % (module, name)
)
else:
app_label = app_config.label
new_class.add_to_class("_meta", Options(meta, app_label))
if not abstract:
new_class.add_to_class(
"DoesNotExist",
subclass_exception(
"DoesNotExist",
tuple(
x.DoesNotExist
for x in parents
if hasattr(x, "_meta") and not x._meta.abstract
)
or (ObjectDoesNotExist,),
module,
attached_to=new_class,
),
)
new_class.add_to_class(
"MultipleObjectsReturned",
subclass_exception(
"MultipleObjectsReturned",
tuple(
x.MultipleObjectsReturned
for x in parents
if hasattr(x, "_meta") and not x._meta.abstract
)
or (MultipleObjectsReturned,),
module,
attached_to=new_class,
),
)
if base_meta and not base_meta.abstract:
# Non-abstract child classes inherit some attributes from their
# non-abstract parent (unless an ABC comes before it in the
# method resolution order).
if not hasattr(meta, "ordering"):
new_class._meta.ordering = base_meta.ordering
if not hasattr(meta, "get_latest_by"):
new_class._meta.get_latest_by = base_meta.get_latest_by
is_proxy = new_class._meta.proxy
# If the model is a proxy, ensure that the base class
# hasn't been swapped out.
if is_proxy and base_meta and base_meta.swapped:
raise TypeError(
"%s cannot proxy the swapped model '%s'." % (name, base_meta.swapped)
)
# Add remaining attributes (those with a contribute_to_class() method)
# to the class.
for obj_name, obj in contributable_attrs.items():
new_class.add_to_class(obj_name, obj)
# All the fields of any type declared on this model
new_fields = chain(
new_class._meta.local_fields,
new_class._meta.local_many_to_many,
new_class._meta.private_fields,
)
field_names = {f.name for f in new_fields}
# Basic setup for proxy models.
if is_proxy:
base = None
for parent in :
if parent._meta.abstract:
if parent._meta.fields:
raise TypeError(
"Abstract base class containing model fields not "
"permitted for proxy model '%s'." % name
)
else:
continue
if base is None:
base = parent
elif parent._meta.concrete_model is not base._meta.concrete_model:
raise TypeError(
"Proxy model '%s' has more than one non-abstract model base "
"class." % name
)
if base is None:
raise TypeError(
"Proxy model '%s' has no non-abstract model base class." % name
)
new_class._meta.setup_proxy(base)
new_class._meta.concrete_model = base._meta.concrete_model
else:
new_class._meta.concrete_model = new_class
# Collect the parent links for multi-table inheritance.
parent_links = {}
for base in reversed( + parents):
# Conceptually equivalent to `if base is Model`.
if not hasattr(base, "_meta"):
continue
# Skip concrete parent classes.
if base != new_class and not base._meta.abstract:
continue
# Locate OneToOneField instances.
for field in base._meta.local_fields:
if isinstance(field, OneToOneField) and field.remote_field.parent_link:
related = resolve_relation(new_class, field.remote_field.model)
parent_links = field
# Track fields inherited from base models.
inherited_attributes = set()
# Do the appropriate setup for any model parents.
for base in new_class.mro():
if base not in parents or not hasattr(base, "_meta"):
# Things without _meta aren't functional models, so they're
# uninteresting parents.
inherited_attributes.update(base.__dict__)
continue
parent_fields = base._meta.local_fields + base._meta.local_many_to_many
if not base._meta.abstract:
# Check for clashes between locally declared fields and those
# on the base classes.
for field in parent_fields:
if field.name in field_names:
raise FieldError(
"Local field %r in class %r clashes with field of "
"the same name from base class %r."
% (
field.name,
name,
base.__name__,
)
)
else:
inherited_attributes.add(field.name)
# Concrete classes...
base = base._meta.concrete_model
base_key = make_model_tuple(base)
if base_key in parent_links:
field = parent_links
elif not is_proxy:
attr_name = "%s_ptr" % base._meta.model_name
field = OneToOneField(
base,
on_delete=CASCADE,
name=attr_name,
auto_created=True,
parent_link=True,
)
if attr_name in field_names:
raise FieldError(
"Auto-generated field '%s' in class %r for "
"parent_link to base class %r clashes with "
"declared field of the same name."
% (
attr_name,
name,
base.__name__,
)
)
# Only add the ptr field if it's not already present;
# e.g. migrations will already have it specified
if not hasattr(new_class, attr_name):
new_class.add_to_class(attr_name, field)
else:
field = None
new_class._meta.parents = field
else:
base_parents = base._meta.parents.copy()
# Add fields from abstract base class if it wasn't overridden.
for field in parent_fields:
if (
field.name not in field_names
and field.name not in new_class.__dict__
and field.name not in inherited_attributes
):
new_field = copy.deepcopy(field)
new_class.add_to_class(field.name, new_field)
# Replace parent links defined on this base by the new
# field. It will be appropriately resolved if required.
if field.one_to_one:
for parent, parent_link in base_parents.items():
if field == parent_link:
base_parents = new_field
# Pass any non-abstract parent classes onto child.
new_class._meta.parents.update(base_parents)
# Inherit private fields (like GenericForeignKey) from the parent
# class
for field in base._meta.private_fields:
if field.name in field_names:
if not base._meta.abstract:
raise FieldError(
"Local field %r in class %r clashes with field of "
"the same name from base class %r."
% (
field.name,
name,
base.__name__,
)
)
else:
field = copy.deepcopy(field)
if not base._meta.abstract:
field.mti_inherited = True
new_class.add_to_class(field.name, field)
# Copy indexes so that index names are unique when models extend an
# abstract model.
new_class._meta.indexes = [
copy.deepcopy(idx) for idx in new_class._meta.indexes
]
if abstract:
# Abstract base models can't be instantiated and don't appear in
# the list of models for an app. We do the final setup for them a
# little differently from normal models.
attr_meta.abstract = False
new_class.Meta = attr_meta
return new_class
new_class._prepare()
new_class._meta.apps.register_model(new_class._meta.app_label, new_class)
return new_class
def _prepare(cls):
"""Create some methods once self._meta has been populated."""
opts = cls._meta
opts._prepare(cls)
if opts.order_with_respect_to:
cls.get_next_in_order = partialmethod(
cls._get_next_or_previous_in_order, is_next=True
)
cls.get_previous_in_order = partialmethod(
cls._get_next_or_previous_in_order, is_next=False
)
# Defer creating accessors on the foreign class until it has been
# created and registered. If remote_field is None, we're ordering
# with respect to a GenericForeignKey and don't know what the
# foreign class is - we'll add those accessors later in
# contribute_to_class().
if opts.order_with_respect_to.remote_field:
wrt = opts.order_with_respect_to
remote = wrt.remote_field.model
lazy_related_operation(make_foreign_order_accessors, cls, remote)
# Give the class a docstring -- its definition.
if cls.__doc__ is None:
cls.__doc__ = "%s(%s)" % (
cls.__name__,
", ".join(f.name for f in opts.fields),
)
get_absolute_url_override = settings.ABSOLUTE_URL_OVERRIDES.get(
opts.label_lower
)
if get_absolute_url_override:
setattr(cls, "get_absolute_url", get_absolute_url_override)
if not opts.managers:
if any(f.name == "objects" for f in opts.fields):
raise ValueError(
"Model %s must specify a custom Manager, because it has a "
"field named 'objects'." % cls.__name__
)
manager = Manager()
manager.auto_created = True
cls.add_to_class("objects", manager)
# Set the name of _meta.indexes. This can't be done in
# Options.contribute_to_class() because fields haven't been added to
# the model at that point.
for index in cls._meta.indexes:
if not index.name:
index.set_name_with_model(cls)
class_prepared.send(sender=cls)可以看到在_prepare这个方法里面判断了一下有没有managers。如果没有的话就会去创建一个Manager类。并设置给当前对象的objects类。我们去看一下Managr类
class Manager(BaseManager.from_queryset(QuerySet)):
def get_queryset(self):
"""
Return a new QuerySet object. Subclasses can override this method to
customize the behavior of the Manager.
"""
return self._queryset_class(model=self.model, using=self._db, hints=self._hints)
def all(self):
# We can't proxy this method through the `QuerySet` like we do for the
# rest of the `QuerySet` methods. This is because `QuerySet.all()`
# works by creating a "copy" of the current queryset and in making said
# copy, all the cached `prefetch_related` lookups are lost. See the
# implementation of `RelatedManager.get_queryset()` for a better
# understanding of how this comes into play.
return self.get_queryset()可以看到这里是继承了BaseManager.from_queryset(QuerySet)。那继续看BaseManager.from_queryset(QuerySet)方法
class BaseManager:
@classmethod
def from_queryset(cls, queryset_class, class_name=None):
if class_name is None:
class_name = "%sFrom%s" % (cls.__name__, queryset_class.__name__)
return type(
class_name,
(cls,),
{
"_queryset_class": queryset_class,
**cls._get_queryset_methods(queryset_class),
},
)可以看到是使用type创建了类，然后继承了当前类，最后定义了一个_queryset_class方法。并把传入的queryset_class(QuerySet)设置成了_queryset_class属性的值。
class QuerySet(AltersData):
"""Represent a lazy database lookup for a set of objects."""
def __init__(self, model=None, query=None, using=None, hints=None):
self.model = model
self._db = using
self._hints = hints or {}
self._query = query or sql.Query(self.model)
self._result_cache = None
self._sticky_filter = False
self._for_write = False
self._prefetch_related_lookups = ()
self._prefetch_done = False
self._known_related_objects = {}# {rel_field: {pk: rel_obj}}
self._iterable_class = ModelIterable
self._fields = None
self._defer_next_filter = False
self._deferred_filter = None
def __iter__(self):
"""
The queryset iterator protocol uses three nested iterators in the
default case:
1. sql.compiler.execute_sql()
- Returns 100 rows at time (constants.GET_ITERATOR_CHUNK_SIZE)
using cursor.fetchmany(). This part is responsible for
doing some column masking, and returning the rows in chunks.
2. sql.compiler.results_iter()
- Returns one row at time. At this point the rows are still just
tuples. In some cases the return values are converted to
Python values at this location.
3. self.iterator()
- Responsible for turning the rows into model objects.
"""
self._fetch_all()
return iter(self._result_cache)
def _fetch_all(self):
if self._result_cache is None:
self._result_cache = list(self._iterable_class(self))
if self._prefetch_related_lookups and not self._prefetch_done:
self._prefetch_related_objects()开始查询
Demo1.objects.all()
看一下这几行代码发生了什么。
DemoModes.objects 返回的就是上面的Manager。然后调用了Manager的all。然后在all里面返回了了_queryset_class。由上面我们可以知道queryset_class是传入的QuerySet。
查询生命周期
flowchart TDmodel --> objects -- Manager --> all --> get_queryset[返回了QuerySet]这里现在返回了QuerySet，但是实际上没有和数据库交互呢。真正和数据库交互是在这里。
当开始遍历demos的时候会触发__iter__方法，然后在这个魔法函数里面会触发__fetch_all【和数据交互】方法，并返回一个一个迭代对象
查询生命周期
flowchart TDfor[循环] --> iter --> _fetch_all --数据库交互--> 返回结果
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