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" ) |
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 |
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}; """ ) |
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/