这篇文章给大家介绍django中使用 closure table 储存无限分级数据,具体内容如下所述:
起步
对于数据量大的情况(比如用户之间有邀请链,有点三级分销的意思),就要用到 closure table 的结构来进行存储。那么在 django 中如何处理这个结构的模型呢?
定义模型
至少是要两个模型的,一个是存储分类,一个储存分类之间的关系:
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class category(models.model):
name = models.charfield(max_length = 31 )
def __str__( self ):
return self .name
class categoryrelation(models.model):
ancestor = models.foreignkey(category, null = true, related_name = 'ancestors' , on_delete = models.set_null, db_constraint = false, verbose_name = '祖先' )
descendant = models.foreignkey(category,null = true, related_name = 'descendants' , on_delete = models.set_null,
db_constraint = false, verbose_name = '子孙' )
distance = models.integerfield()
class meta:
unique_together = ( "ancestor" , "descendant" )
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数据操作
获得所有后代节点
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class category(models.model):
...
def get_descendants( self , include_self = false):
"""获得所有后代节点"""
kw = {
'descendants__ancestor' : self
}
if not include_self:
kw[ 'descendants__distance__gt' ] = 0
qs = category.objects. filter ( * * kw).order_by( 'descendants__distance' )
return qs获得直属下级
class category(models.model):
...
def get_children( self ):
"""获得直属下级"""
qs = category.objects. filter (descendants__ancestor = self , descendants__distance = 1 )
return qs
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节点的移动
节点的移动是比较难的,在 [ https://www.percona.com/blog/2011/02/14/moving-subtrees-in-closure-table/][1 ] 中讲述了,利用django能够执行原生的sql语句进行:
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def add_child( self , child):
"""将某个分类加入本分类,"""
if categoryrelation.objects. filter (ancestor = child, descendant = self ).exists() \
or categoryrelation.objects. filter (ancestor = self , descendant = child, distance = 1 ).exists():
"""child不能是self的祖先节点 or 它们已经是父子节点"""
return
# 如果表中不存在节点自身数据
if not categoryrelation.objects. filter (ancestor = child, descendant = child).exists():
categoryrelation.objects.create(ancestor = child, descendant = child, distance = 0 )
table_name = categoryrelation._meta.db_table
cursor = connection.cursor()
cursor.execute(f """
delete a
from
{table_name} as a
join {table_name} as d on a.descendant_id = d.descendant_id
left join {table_name} as x on x.ancestor_id = d.ancestor_id
and x.descendant_id = a.ancestor_id
where
d.ancestor_id = {child.id}
and x.ancestor_id is null;
""" )
cursor.execute(f """
insert into {table_name} (ancestor_id, descendant_id, distance)
select supertree.ancestor_id, subtree.descendant_id,
supertree.distance+subtree.distance+1
from {table_name} as supertree join {table_name} as subtree
where subtree.ancestor_id = {child.id}
and supertree.descendant_id = {self.id};
""" )
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节点删除
节点删除有两种操作,一个是将所有子节点也删除,另一个是将自己点移到上级节点中。
扩展阅读
[ https://www.percona.com/blog/2011/02/14/moving-subtrees-in-closure-table/][2 ]
[ http://technobytz.com/closure_table_store_hierarchical_data.html][3 ]
完整代码
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class category(models.model):
name = models.charfield(max_length = 31 )
def __str__( self ):
return self .name
def get_descendants( self , include_self = false):
"""获得所有后代节点"""
kw = {
'descendants__ancestor' : self
}
if not include_self:
kw[ 'descendants__distance__gt' ] = 0
qs = category.objects. filter ( * * kw).order_by( 'descendants__distance' )
return qs
def get_children( self ):
"""获得直属下级"""
qs = category.objects. filter (descendants__ancestor = self , descendants__distance = 1 )
return qs
def get_ancestors( self , include_self = false):
"""获得所有祖先节点"""
kw = {
'ancestors__descendant' : self
}
if not include_self:
kw[ 'ancestors__distance__gt' ] = 0
qs = category.objects. filter ( * * kw).order_by( 'ancestors__distance' )
return qs
def get_parent( self ):
"""分类仅有一个父节点"""
parent = category.objects.get(ancestors__descendant = self , ancestors__distance = 1 )
return parent
def get_parents( self ):
"""分类仅有一个父节点"""
qs = category.objects. filter (ancestors__descendant = self , ancestors__distance = 1 )
return qs
def remove( self , delete_subtree = false):
"""删除节点"""
if delete_subtree:
# 删除所有子节点
children_queryset = self .get_descendants(include_self = true)
for child in children_queryset:
categoryrelation.objects. filter (q(ancestor = child) | q(descendant = child)).delete()
child.delete()
else :
# 所有子节点移到上级
parent = self .get_parent()
children = self .get_children()
for child in children:
parent.add_chile(child)
# categoryrelation.objects.filter(descendant=self, distance=0).delete()
categoryrelation.objects. filter (q(ancestor = self ) | q(descendant = self )).delete()
self .delete()
def add_child( self , child):
"""将某个分类加入本分类,"""
if categoryrelation.objects. filter (ancestor = child, descendant = self ).exists() \
or categoryrelation.objects. filter (ancestor = self , descendant = child, distance = 1 ).exists():
"""child不能是self的祖先节点 or 它们已经是父子节点"""
return
# 如果表中不存在节点自身数据
if not categoryrelation.objects. filter (ancestor = child, descendant = child).exists():
categoryrelation.objects.create(ancestor = child, descendant = child, distance = 0 )
table_name = categoryrelation._meta.db_table
cursor = connection.cursor()
cursor.execute(f """
delete a
from
{table_name} as a
join {table_name} as d on a.descendant_id = d.descendant_id
left join {table_name} as x on x.ancestor_id = d.ancestor_id
and x.descendant_id = a.ancestor_id
where
d.ancestor_id = {child.id}
and x.ancestor_id is null;
""" )
cursor.execute(f """
insert into {table_name} (ancestor_id, descendant_id, distance)
select supertree.ancestor_id, subtree.descendant_id,
supertree.distance+subtree.distance+1
from {table_name} as supertree join {table_name} as subtree
where subtree.ancestor_id = {child.id}
and supertree.descendant_id = {self.id};
""" ) class categoryrelation(models.model): ancestor = models.foreignkey(category, null = true, related_name = 'ancestors' , on_delete = models.set_null, db_constraint = false, verbose_name = '祖先' ) descendant = models.foreignkey(category,null = true, related_name = 'descendants' , on_delete = models.set_null, db_constraint = false, verbose_name = '子孙' ) distance = models.integerfield()
class meta:
unique_together = ( "ancestor" , "descendant" )[ 1 ]: https: / / www.percona.com / blog / 2011 / 02 / 14 / moving - subtrees - in - closure - table /
[ 2 ]: https: / / www.percona.com / blog / 2011 / 02 / 14 / moving - subtrees - in - closure - table /
[ 3 ]: http: / / technobytz.com / closure_table_store_hierarchical_data.html
|
总结
以上所述是小编给大家介绍的django中使用 closure table 储存无限分级数据,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对服务器之家网站的支持!
原文链接:https://www.hongweipeng.com/index.php/archives/1802/