在 SQLAlchemy 的 HAVING() 子句中使用标签
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【中文标题】在 SQLAlchemy 的 HAVING() 子句中使用标签【英文标题】:Using Labels in HAVING() Clause in SQLAlchemy 【发布时间】:2014-08-22 19:31:20 【问题描述】:我正在尝试实现以下查询以在 SQLAlchemy 中处理嵌套集(请参阅here)。我正在努力解决的是如何在最后的HAVING
子句中的主SELECT
查询(取决于子SELECT
查询)中使用标记的depth
计算。
SELECT node.name, (COUNT(parent.name) - (sub_tree.depth + 1)) AS depth
FROM nested_category AS node,
nested_category AS parent,
nested_category AS sub_parent,
(
SELECT node.name, (COUNT(parent.name) - 1) AS depth
FROM nested_category AS node,
nested_category AS parent
WHERE node.lft BETWEEN parent.lft AND parent.rgt
AND node.name = 'PORTABLE ELECTRONICS'
GROUP BY node.name
ORDER BY node.lft
)AS sub_tree
WHERE node.lft BETWEEN parent.lft AND parent.rgt
AND node.lft BETWEEN sub_parent.lft AND sub_parent.rgt
AND sub_parent.name = sub_tree.name
GROUP BY node.name
HAVING depth <= 1
ORDER BY node.lft;
使用的时候感觉很亲近:
node = aliased(Category)
parent = aliased(Category)
sub_parent = aliased(Category)
sub_tree = DBSession.query(node.name,
(func.count(parent.name) - 1).label('depth')).\
filter(node.lft.between(parent.lft, parent.rgt)).\
filter(node.name == category_name).\
group_by(node.name).\
order_by(node.lft).subquery()
children = DBSession.query(node.name,
(func.count(parent.name) - (sub_tree.c.depth + 1)).label('depth')).\
filter(node.lft.between(parent.lft, parent.rgt)).\
filter(node.lft.between(sub_parent.lft, sub_parent.rgt)).\
filter(sub_parent.name == sub_tree.c.name).\
group_by(node.name).having(depth <= 1).\
order_by(node.lft).all()
但是,我最终得到了错误:
NameError: global name 'depth' is not defined
哪一种是有道理的。如果我用having(func.count('depth') <= 1
替换having(depth <= 1)
,我最终会生成以下HAVING
子句,它不会返回任何结果(其中%s 占位符是('depth',1)):
HAVING count(%s) <= %s
我真正需要的是这样阅读:
HAVING depth = 1
有人有什么想法吗?
我最后的手段是实际执行原始查询,而不是通过 ORM 层,但我真的不想这样做,因为我离得太近了......
提前致谢。
编辑:
我也试过下面的代码,但是没有返回正确的结果(好像'depth'标签总是0):
node = aliased(Category)
parent = aliased(Category)
sub_parent = aliased(Category)
sub_tree_depth = (func.count(parent.name) - 1).label('depth')
depth = (func.count(parent.name) - (sub_tree_depth + 1)).label('depth')
sub_tree = DBSession.query(node.name,
sub_tree_depth).\
filter(node.lft.between(parent.lft, parent.rgt)).\
filter(node.name == category_name).\
group_by(node.name).\
order_by(node.lft).subquery()
children = DBSession.query(node.name,
depth).\
filter(node.lft.between(parent.lft, parent.rgt)).\
filter(node.lft.between(sub_parent.lft, sub_parent.rgt)).\
filter(sub_parent.name == sub_tree.c.name).\
group_by(node.name).having(depth <= 1).\
order_by(node.lft).all()
由此生成的 HAVING
子句看起来像(categories_2 == parent in original query):
HAVING count(categories_2.name) - ((count(categories_2.name) - 1) + 1) <= 1
编辑:
我认为包含生成的 SQL 可能会有所帮助。
SQLAlchemy
node = aliased(Category)
parent = aliased(Category)
sub_parent = aliased(Category)
sub_tree = DBSession.query(node.name,
(func.count(parent.name) - 1).label('depth')).\
filter(node.lft.between(parent.lft, parent.rgt)).\
filter(node.name == category_name).\
group_by(node.name).\
order_by(node.lft).subquery()
depth = (func.count(parent.name) - (sub_tree.c.depth + 1)).label('depth')
children = DBSession.query(node.name, depth).\
filter(node.lft.between(parent.lft, parent.rgt)).\
filter(node.lft.between(sub_parent.lft, sub_parent.rgt)).\
filter(sub_parent.name == sub_tree.c.name).\
group_by(node.name).having(depth <= 1).\
order_by(node.lft)
生成的 SQL
'SELECT categories_1.name AS categories_1_name, count(categories_2.name) - (anon_1.depth + %s) AS depth
FROM categories AS categories_1, categories AS categories_2, (SELECT categories_1.name AS name, count(categories_2.name) - %s AS depth
FROM categories AS categories_1, categories AS categories_2
WHERE categories_1.lft BETWEEN categories_2.lft AND categories_2.rgt AND categories_1.name = %s GROUP BY categories_1.name ORDER BY categories_1.lft) AS anon_1, categories AS categories_3
WHERE categories_1.lft BETWEEN categories_2.lft AND categories_2.rgt AND categories_1.lft BETWEEN categories_3.lft AND categories_3.rgt AND categories_3.name = anon_1.name GROUP BY categories_1.name
HAVING count(categories_2.name) - (anon_1.depth + %s) <= %s ORDER BY categories_1.lft' (1, 1, u'Institutional', 1, 1)
【问题讨论】:
您是否尝试过在HAVING
子句中使用整个深度作为过滤器,例如HAVING (COUNT(parent.name) - 1) = 1
感谢您的回复。我尝试使用HAVING (COUNT(parent.name) - 1) = 1
,但没有返回正确的结果。然后我尝试了HAVING (COUNT(parent.name) - (sub_tree.depth + 1)) <= 1
,这导致了'Unknown column'sub_tree.depth'的SQL错误......
【参考方案1】:
您的 SQL 查询使用隐式连接,在 SQLAlchemy 中您需要显式定义它们。除此之外,您的第二次尝试几乎是正确的:
node = aliased(Category)
parent = aliased(Category)
sub_parent = aliased(Category)
sub_tree = DBSession.query(node.name,
(func.count(parent.name) - 1).label('depth')).\
join(parent, node.lft.between(parent.lft, parent.rgt)).\
filter(node.name == category_name).\
group_by(node.name).\
order_by(node.lft).subquery()
depth = (func.count(parent.name) - (sub_tree.c.depth + 1)).label('depth')
children = DBSession.query(node.name, depth).\
join(parent, node.lft.between(parent.lft, parent.rgt)).\
join(sub_parent, node.lft.between(sub_parent.lft, sub_parent.rgt)).\
join(sub_tree, sub_parent.name == sub_tree.c.name).\
group_by(node.name, sub_tree.c.depth).\
having(depth <= 1).\
order_by(node.lft).all()
如果生成的 SQL 中的 HAVING
子句将重复完整的表达式而不是其别名,请不要感到惊讶。那是因为那里不允许使用别名,它只是 mysql 扩展,而 SQLAlchemy 努力生成在大多数情况下都有效的 SQL。
【讨论】:
我真的很感激。但是,我确实收到了一条错误消息Unknown column 'anon_1.depth' in 'having clause'
。我不能发布整个生成的 SQL,但这是我认为重要的部分:HAVING count(categories_2.name) - (anon_1.depth + 1) <= 1
我更新了我的答案,起初我没有注意到缺少的连接......希望它现在可以工作。
我真的感谢你的坚持。不幸的是,即使有连接,我也会收到相同的错误消息Unknown column 'anon_1.depth' in 'having clause'
。为HAVING
子句生成的SQL 相同:HAVING count(categories_2.name) - (anon_1.depth + 1) <= 1
。同样,我不能发布整个生成的 SQL,但我可以验证它现在正在使用 INNER JOINS。
好的,我在谷歌上搜索了一下,发现 MySQL 中的 Unknown column in 'having clause'
错误意味着该列必须包含在 GROUP BY
子句中(谈论模糊的错误消息......)。我将更新我的答案以包含它,但现在我很好奇您的原始 SQL 查询是否有效。不幸的是,我手头没有任何 MySQL 安装可以自己尝试一下(我是 Postgres 人)。以上是关于在 SQLAlchemy 的 HAVING() 子句中使用标签的主要内容,如果未能解决你的问题,请参考以下文章
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