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mirror of https://github.com/django/django.git synced 2024-12-22 09:05:43 +00:00

Fixed #35586 -- Added support for set-returning database functions.

Aggregation optimization didn't account for not referenced set-returning annotations on Postgres.

Co-authored-by: Simon Charette <charette.s@gmail.com>
This commit is contained in:
Devin Cox 2024-08-09 13:56:56 -07:00 committed by Sarah Boyce
parent 228128618b
commit e03083917d
6 changed files with 54 additions and 0 deletions

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@ -182,6 +182,8 @@ class BaseExpression:
allowed_default = False
# Can the expression be used during a constraint validation?
constraint_validation_compatible = True
# Does the expression possibly return more than one row?
set_returning = False
def __init__(self, output_field=None):
if output_field is not None:

View File

@ -491,6 +491,11 @@ class Query(BaseExpression):
)
or having
)
set_returning_annotations = {
alias
for alias, annotation in self.annotation_select.items()
if getattr(annotation, "set_returning", False)
}
# Decide if we need to use a subquery.
#
# Existing aggregations would cause incorrect results as
@ -510,6 +515,7 @@ class Query(BaseExpression):
or qualify
or self.distinct
or self.combinator
or set_returning_annotations
):
from django.db.models.sql.subqueries import AggregateQuery
@ -551,6 +557,9 @@ class Query(BaseExpression):
if annotation.get_group_by_cols():
annotation_mask.add(annotation_alias)
inner_query.set_annotation_mask(annotation_mask)
# Annotations that possibly return multiple rows cannot
# be masked as they might have an incidence on the query.
annotation_mask |= set_returning_annotations
# Add aggregates to the outer AggregateQuery. This requires making
# sure all columns referenced by the aggregates are selected in the

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@ -1095,6 +1095,16 @@ calling the appropriate methods on the wrapped expression.
:py:data:`NotImplemented` which forces the expression to be computed on
the database.
.. attribute:: set_returning
.. versionadded:: 5.2
Tells Django that this expression contains a set-returning function,
enforcing subquery evaluation. It's used, for example, to allow some
Postgres set-returning functions (e.g. ``JSONB_PATH_QUERY``,
``UNNEST``, etc.) to skip optimization and be properly evaluated when
annotations spawn rows themselves. Defaults to ``False``.
.. method:: resolve_expression(query=None, allow_joins=True, reuse=None, summarize=False, for_save=False)
Provides the chance to do any preprocessing or validation of

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@ -218,6 +218,10 @@ Models
* Added support for validation of model constraints which use a
:class:`~django.db.models.GeneratedField`.
* The new :attr:`.Expression.set_returning` attribute specifies that the
expression contains a set-returning function, enforcing subquery evaluation.
This is necessary for many Postgres set-returning functions.
Requests and Responses
~~~~~~~~~~~~~~~~~~~~~~

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@ -58,3 +58,11 @@ class Company(models.Model):
class Ticket(models.Model):
active_at = models.DateTimeField()
duration = models.DurationField()
class JsonModel(models.Model):
data = models.JSONField(default=dict, blank=True)
id = models.IntegerField(primary_key=True)
class Meta:
required_db_features = {"supports_json_field"}

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@ -1,7 +1,9 @@
import datetime
from decimal import Decimal
from unittest import skipUnless
from django.core.exceptions import FieldDoesNotExist, FieldError
from django.db import connection
from django.db.models import (
BooleanField,
Case,
@ -15,6 +17,7 @@ from django.db.models import (
FloatField,
Func,
IntegerField,
JSONField,
Max,
OuterRef,
Q,
@ -43,6 +46,7 @@ from .models import (
Company,
DepartmentStore,
Employee,
JsonModel,
Publisher,
Store,
Ticket,
@ -1167,6 +1171,23 @@ class NonAggregateAnnotationTestCase(TestCase):
with self.assertRaisesMessage(ValueError, msg):
Book.objects.annotate(**{crafted_alias: Value(1)})
@skipUnless(connection.vendor == "postgresql", "PostgreSQL tests")
@skipUnlessDBFeature("supports_json_field")
def test_set_returning_functions(self):
class JSONBPathQuery(Func):
function = "jsonb_path_query"
output_field = JSONField()
set_returning = True
test_model = JsonModel.objects.create(
data={"key": [{"id": 1, "name": "test1"}, {"id": 2, "name": "test2"}]}, id=1
)
qs = JsonModel.objects.annotate(
table_element=JSONBPathQuery("data", Value("$.key[*]"))
).filter(pk=test_model.pk)
self.assertEqual(qs.count(), len(qs))
class AliasTests(TestCase):
@classmethod