具有OuterRef的简单子查询 [英] Simple Subquery with OuterRef
问题描述
我正在尝试制作一个使用OuterRef
的非常简单的Subquery
(并非出于实际目的,只是为了使其正常工作),但始终会遇到相同的错误.
I am trying to make a very simple Subquery
that uses OuterRef
(not for practical purposes, just to get it working), but keep running into same error.
posts/models.py
代码
from django.db import models
class Tag(models.Model):
name = models.CharField(max_length=120)
def __str__(self):
return self.name
class Post(models.Model):
title = models.CharField(max_length=120)
tags = models.ManyToManyField(Tag)
def __str__(self):
return self.title
manage.py shell
代码
>>> from django.db.models import OuterRef, Subquery
>>> from posts.models import Tag, Post
>>> tag1 = Tag.objects.create(name='tag1')
>>> post1 = Post.objects.create(title='post1')
>>> post1.tags.add(tag1)
>>> Tag.objects.filter(post=post1.pk)
<QuerySet [<Tag: tag1>]>
>>> tags_list = Tag.objects.filter(post=OuterRef('pk'))
>>> Post.objects.annotate(count=Subquery(tags_list.count()))
最后两行应该给我每个Post对象的标签数量.在这里,我不断收到相同的错误:
The last two lines should give me number of tags for each Post object. And here I keep getting the same error:
ValueError: This queryset contains a reference to an outer query and may only be used in a subquery.
推荐答案
示例的问题之一是您不能将queryset.count()
用作子查询,因为.count()
尝试评估查询集并返回计数.
One of the problems with your example is that you cannot use queryset.count()
as a subquery, because .count()
tries to evaluate the queryset and return the count.
因此,人们可能会认为正确的方法是改为使用Count()
.也许是这样的:
So one may think that the right approach would be to use Count()
instead. Maybe something like this:
Post.objects.annotate(
count=Count(Tag.objects.filter(post=OuterRef('pk')))
)
这行不通有两个原因:
-
Tag
查询集选择所有Tag
字段,而Count
只能依靠一个字段.因此:Tag.objects.filter(post=OuterRef('pk')).only('pk')
是必需的(以选择tag.pk
上的计数).
The
Tag
queryset selects allTag
fields, whileCount
can only count on one field. Thus:Tag.objects.filter(post=OuterRef('pk')).only('pk')
is needed (to select counting ontag.pk
).
Count
本身不是Subquery
类,Count
是Aggregate
.因此,由Count
生成的表达式不能识别为Subquery
(OuterRef
需要子查询),我们可以使用Subquery
来解决.
Count
itself is not a Subquery
class, Count
is an Aggregate
. So the expression generated by Count
is not recognized as a Subquery
(OuterRef
requires subquery), we can fix that by using Subquery
.
应用针对1)和2)的修复程序会产生:
Apply-ing fixes for 1) and 2) would produce:
Post.objects.annotate(
count=Count(Subquery(Tag.objects.filter(post=OuterRef('pk')).only('pk')))
)
但是 如果您检查正在生成的查询
However if you inspect the query being produced
SELECT
"tests_post"."id",
"tests_post"."title",
COUNT((SELECT U0."id"
FROM "tests_tag" U0
INNER JOIN "tests_post_tags" U1 ON (U0."id" = U1."tag_id")
WHERE U1."post_id" = ("tests_post"."id"))
) AS "count"
FROM "tests_post"
GROUP BY
"tests_post"."id",
"tests_post"."title"
您可能会注意到我们有一个GROUP BY
子句.这是因为Count是一个聚合,目前它不影响结果,但在某些情况下可能会影响结果.这就是为什么文档提出了一些不同的方法,即通过values
+ annotate
+ values
You may notice that we have a GROUP BY
clause. This is because Count is an Aggregate, right now it does not affect the result, but in some other cases it may. Thats why the docs suggest a little bit different approach, where the aggregation is moved into the subquery
via a specific combination of values
+ annotate
+ values
Post.objects.annotate(
count=Subquery(
Tag.objects.filter(post=OuterRef('pk'))
# The first .values call defines our GROUP BY clause
# Its important to have a filtration on every field defined here
# Otherwise you will have more than one group per row!!!
# This will lead to subqueries to return more than one row!
# But they are not allowed to do that!
# In our example we group only by post
# and we filter by post via OuterRef
.values('post')
# Here we say: count how many rows we have per group
.annotate(count=Count('pk'))
# Here we say: return only the count
.values('count')
)
)
最后这将产生:
SELECT
"tests_post"."id",
"tests_post"."title",
(SELECT COUNT(U0."id") AS "count"
FROM "tests_tag" U0
INNER JOIN "tests_post_tags" U1 ON (U0."id" = U1."tag_id")
WHERE U1."post_id" = ("tests_post"."id")
GROUP BY U1."post_id"
) AS "count"
FROM "tests_post"
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