Refactored qs.add_q() and utils/tree.py

The sql/query.py add_q method did a lot of where/having tree hacking to
get complex queries to work correctly. The logic was refactored so that
it should be simpler to understand. The new logic should also produce
leaner WHERE conditions.

The changes cascade somewhat, as some other parts of Django (like
add_filter() and WhereNode) expect boolean trees in certain format or
they fail to work. So to fix the add_q() one must fix utils/tree.py,
some things in add_filter(), WhereNode and so on.

This commit also fixed add_filter to see negate clauses up the path.
A query like .exclude(Q(reversefk__in=a_list)) didn't work similarly to
.filter(~Q(reversefk__in=a_list)). The reason for this is that only
the immediate parent negate clauses were seen by add_filter, and thus a
tree like AND: (NOT AND: (AND: condition)) will not be handled
correctly, as there is one intermediary AND node in the tree. The
example tree is generated by .exclude(~Q(reversefk__in=a_list)).

Still, aggregation lost connectors in OR cases, and F() objects and
aggregates in same filter clause caused GROUP BY problems on some
databases.

Fixed #17600, fixed #13198, fixed #17025, fixed #17000, fixed #11293.
This commit is contained in:
Anssi Kääriäinen 2012-05-25 00:27:24 +03:00
parent d744c550d5
commit d3f00bd570
14 changed files with 513 additions and 219 deletions

View File

@ -32,13 +32,14 @@ class GeoWhereNode(WhereNode):
Used to represent the SQL where-clause for spatial databases --
these are tied to the GeoQuery class that created it.
"""
def add(self, data, connector):
def _prepare_data(self, data):
if isinstance(data, (list, tuple)):
obj, lookup_type, value = data
if ( isinstance(obj, Constraint) and
isinstance(obj.field, GeometryField) ):
data = (GeoConstraint(obj), lookup_type, value)
super(GeoWhereNode, self).add(data, connector)
return super(GeoWhereNode, self)._prepare_data(data)
def make_atom(self, child, qn, connection):
lvalue, lookup_type, value_annot, params_or_value = child

View File

@ -1,6 +1,19 @@
"""
Classes to represent the definitions of aggregate functions.
"""
from django.db.models.constants import LOOKUP_SEP
def refs_aggregate(lookup_parts, aggregates):
"""
A little helper method to check if the lookup_parts contains references
to the given aggregates set. Because the LOOKUP_SEP is contained in the
default annotation names we must check each prefix of the lookup_parts
for match.
"""
for i in range(len(lookup_parts) + 1):
if LOOKUP_SEP.join(lookup_parts[0:i]) in aggregates:
return True
return False
class Aggregate(object):
"""

View File

@ -4,4 +4,3 @@ Constants used across the ORM in general.
# Separator used to split filter strings apart.
LOOKUP_SEP = '__'

View File

@ -1,4 +1,7 @@
import datetime
from django.db.models.aggregates import refs_aggregate
from django.db.models.constants import LOOKUP_SEP
from django.utils import tree
class ExpressionNode(tree.Node):
@ -37,6 +40,18 @@ class ExpressionNode(tree.Node):
obj.add(other, connector)
return obj
def contains_aggregate(self, existing_aggregates):
if self.children:
return any(child.contains_aggregate(existing_aggregates)
for child in self.children
if hasattr(child, 'contains_aggregate'))
else:
return refs_aggregate(self.name.split(LOOKUP_SEP),
existing_aggregates)
def prepare_database_save(self, unused):
return self
###################
# VISITOR METHODS #
###################
@ -113,9 +128,6 @@ class ExpressionNode(tree.Node):
"Use .bitand() and .bitor() for bitwise logical operations."
)
def prepare_database_save(self, unused):
return self
class F(ExpressionNode):
"""
An expression representing the value of the given field.

View File

@ -47,6 +47,7 @@ class Q(tree.Node):
if not isinstance(other, Q):
raise TypeError(other)
obj = type(self)()
obj.connector = conn
obj.add(self, conn)
obj.add(other, conn)
return obj
@ -63,6 +64,16 @@ class Q(tree.Node):
obj.negate()
return obj
def clone(self):
clone = self.__class__._new_instance(
children=[], connector=self.connector, negated=self.negated)
for child in self.children:
if hasattr(child, 'clone'):
clone.children.append(child.clone())
else:
clone.children.append(child)
return clone
class DeferredAttribute(object):
"""
A wrapper for a deferred-loading field. When the value is read from this

View File

@ -87,6 +87,7 @@ class SQLCompiler(object):
where, w_params = self.query.where.as_sql(qn=qn, connection=self.connection)
having, h_params = self.query.having.as_sql(qn=qn, connection=self.connection)
having_group_by = self.query.having.get_cols()
params = []
for val in six.itervalues(self.query.extra_select):
params.extend(val[1])
@ -107,7 +108,7 @@ class SQLCompiler(object):
result.append('WHERE %s' % where)
params.extend(w_params)
grouping, gb_params = self.get_grouping(ordering_group_by)
grouping, gb_params = self.get_grouping(having_group_by, ordering_group_by)
if grouping:
if distinct_fields:
raise NotImplementedError(
@ -534,7 +535,7 @@ class SQLCompiler(object):
first = False
return result, from_params
def get_grouping(self, ordering_group_by):
def get_grouping(self, having_group_by, ordering_group_by):
"""
Returns a tuple representing the SQL elements in the "group by" clause.
"""
@ -551,7 +552,7 @@ class SQLCompiler(object):
]
select_cols = []
seen = set()
cols = self.query.group_by + select_cols
cols = self.query.group_by + having_group_by + select_cols
for col in cols:
col_params = ()
if isinstance(col, (list, tuple)):

View File

@ -7,16 +7,14 @@ class SQLEvaluator(object):
def __init__(self, expression, query, allow_joins=True, reuse=None):
self.expression = expression
self.opts = query.get_meta()
self.cols = []
self.contains_aggregate = False
self.reuse = reuse
self.cols = []
self.expression.prepare(self, query, allow_joins)
def relabeled_clone(self, change_map):
clone = copy.copy(self)
clone.cols = []
for node, col in self.cols[:]:
for node, col in self.cols:
if hasattr(col, 'relabeled_clone'):
clone.cols.append((node, col.relabeled_clone(change_map)))
else:
@ -24,6 +22,15 @@ class SQLEvaluator(object):
(change_map.get(col[0], col[0]), col[1])))
return clone
def get_cols(self):
cols = []
for node, col in self.cols:
if hasattr(node, 'get_cols'):
cols.extend(node.get_cols())
elif isinstance(col, tuple):
cols.append(col)
return cols
def prepare(self):
return self
@ -44,9 +51,7 @@ class SQLEvaluator(object):
raise FieldError("Joined field references are not permitted in this query")
field_list = node.name.split(LOOKUP_SEP)
if (len(field_list) == 1 and
node.name in query.aggregate_select.keys()):
self.contains_aggregate = True
if node.name in query.aggregates:
self.cols.append((node, query.aggregate_select[node.name]))
else:
try:

View File

@ -15,6 +15,7 @@ from django.utils.tree import Node
from django.utils import six
from django.db import connections, DEFAULT_DB_ALIAS
from django.db.models.constants import LOOKUP_SEP
from django.db.models.aggregates import refs_aggregate
from django.db.models.expressions import ExpressionNode
from django.db.models.fields import FieldDoesNotExist
from django.db.models.loading import get_model
@ -1004,19 +1005,6 @@ class Query(object):
self.unref_alias(alias)
self.included_inherited_models = {}
def need_force_having(self, q_object):
"""
Returns whether or not all elements of this q_object need to be put
together in the HAVING clause.
"""
for child in q_object.children:
if isinstance(child, Node):
if self.need_force_having(child):
return True
else:
if child[0].split(LOOKUP_SEP)[0] in self.aggregates:
return True
return False
def add_aggregate(self, aggregate, model, alias, is_summary):
"""
@ -1065,24 +1053,32 @@ class Query(object):
# Add the aggregate to the query
aggregate.add_to_query(self, alias, col=col, source=source, is_summary=is_summary)
def add_filter(self, filter_expr, connector=AND, negate=False,
can_reuse=None, force_having=False):
def build_filter(self, filter_expr, branch_negated=False, current_negated=False,
can_reuse=None):
"""
Add a single filter to the query. The 'filter_expr' is a pair:
(filter_string, value). E.g. ('name__contains', 'fred')
Builds a WhereNode for a single filter clause, but doesn't add it
to this Query. Query.add_q() will then add this filter to the where
or having Node.
If 'negate' is True, this is an exclude() filter. It's important to
note that this method does not negate anything in the where-clause
object when inserting the filter constraints. This is because negated
filters often require multiple calls to add_filter() and the negation
should only happen once. So the caller is responsible for this (the
caller will normally be add_q(), so that as an example).
The 'branch_negated' tells us if the current branch contains any
negations. This will be used to determine if subqueries are needed.
If 'can_reuse' is a set, we are processing a component of a
multi-component filter (e.g. filter(Q1, Q2)). In this case, 'can_reuse'
will be a set of table aliases that can be reused in this filter, even
if we would otherwise force the creation of new aliases for a join
(needed for nested Q-filters). The set is updated by this method.
The 'current_negated' is used to determine if the current filter is
negated or not and this will be used to determine if IS NULL filtering
is needed.
The difference between current_netageted and branch_negated is that
branch_negated is set on first negation, but current_negated is
flipped for each negation.
Note that add_filter will not do any negating itself, that is done
upper in the code by add_q().
The 'can_reuse' is a set of reusable joins for multijoins.
The method will create a filter clause that can be added to the current
query. However, if the filter isn't added to the query then the caller
is responsible for unreffing the joins used.
"""
arg, value = filter_expr
parts = arg.split(LOOKUP_SEP)
@ -1115,10 +1111,7 @@ class Query(object):
lookup_type = parts.pop()
break
# By default, this is a WHERE clause. If an aggregate is referenced
# in the value, the filter will be promoted to a HAVING
having_clause = False
clause = self.where_class()
# Interpret '__exact=None' as the sql 'is NULL'; otherwise, reject all
# uses of None as a query value.
if value is None:
@ -1131,20 +1124,15 @@ class Query(object):
elif isinstance(value, ExpressionNode):
# If value is a query expression, evaluate it
value = SQLEvaluator(value, self, reuse=can_reuse)
having_clause = value.contains_aggregate
for alias, aggregate in self.aggregates.items():
if alias in (parts[0], LOOKUP_SEP.join(parts)):
entry = self.where_class()
entry.add((aggregate, lookup_type, value), AND)
if negate:
entry.negate()
self.having.add(entry, connector)
return
clause.add((aggregate, lookup_type, value), AND)
return clause
opts = self.get_meta()
alias = self.get_initial_alias()
allow_many = not negate
allow_many = not branch_negated
try:
field, target, opts, join_list, path = self.setup_joins(
@ -1153,11 +1141,10 @@ class Query(object):
if can_reuse is not None:
can_reuse.update(join_list)
except MultiJoin as e:
self.split_exclude(filter_expr, LOOKUP_SEP.join(parts[:e.level]),
return self.split_exclude(filter_expr, LOOKUP_SEP.join(parts[:e.level]),
can_reuse, e.names_with_path)
return
if (lookup_type == 'isnull' and value is True and not negate and
if (lookup_type == 'isnull' and value is True and not current_negated and
len(join_list) > 1):
# If the comparison is against NULL, we may need to use some left
# outer joins when creating the join chain. This is only done when
@ -1169,17 +1156,9 @@ class Query(object):
# promotion must happen before join trimming to have the join type
# information available when reusing joins.
target, alias, join_list = self.trim_joins(target, join_list, path)
if having_clause or force_having:
if (alias, target.column) not in self.group_by:
self.group_by.append((alias, target.column))
self.having.add((Constraint(alias, target.column, field), lookup_type, value),
connector)
else:
self.where.add((Constraint(alias, target.column, field), lookup_type, value),
connector)
if negate:
clause.add((Constraint(alias, target.column, field), lookup_type, value),
AND)
if current_negated and (lookup_type != 'isnull' or value is False):
self.promote_joins(join_list)
if (lookup_type != 'isnull' and (
self.is_nullable(target) or self.alias_map[join_list[-1]].join_type == self.LOUTER)):
@ -1192,64 +1171,112 @@ class Query(object):
# (col IS NULL OR col != someval)
# <=>
# NOT (col IS NOT NULL AND col = someval).
self.where.add((Constraint(alias, target.column, None), 'isnull', False), AND)
clause.add((Constraint(alias, target.column, None), 'isnull', False), AND)
return clause
def add_q(self, q_object, used_aliases=None, force_having=False):
def add_filter(self, filter_clause):
self.where.add(self.build_filter(filter_clause), 'AND')
def need_having(self, obj):
"""
Returns whether or not all elements of this q_object need to be put
together in the HAVING clause.
"""
if not isinstance(obj, Node):
return (refs_aggregate(obj[0].split(LOOKUP_SEP), self.aggregates)
or (hasattr(obj[1], 'contains_aggregate')
and obj[1].contains_aggregate(self.aggregates)))
return any(self.need_having(c) for c in obj.children)
def split_having_parts(self, q_object, negated=False):
"""
Returns a list of q_objects which need to go into the having clause
instead of the where clause. Removes the splitted out nodes from the
given q_object. Note that the q_object is altered, so cloning it is
needed.
"""
having_parts = []
for c in q_object.children[:]:
# When constucting the having nodes we need to take care to
# preserve the negation status from the upper parts of the tree
if isinstance(c, Node):
# For each negated child, flip the in_negated flag.
in_negated = c.negated ^ negated
if c.connector == OR and self.need_having(c):
# A subtree starting from OR clause must go into having in
# whole if any part of that tree references an aggregate.
q_object.children.remove(c)
having_parts.append(c)
c.negated = in_negated
else:
having_parts.extend(
self.split_having_parts(c, in_negated)[1])
elif self.need_having(c):
q_object.children.remove(c)
new_q = self.where_class(children=[c], negated=negated)
having_parts.append(new_q)
return q_object, having_parts
def add_q(self, q_object):
"""
A preprocessor for the internal _add_q(). Responsible for
splitting the given q_object into where and having parts and
setting up some internal variables.
"""
if not self.need_having(q_object):
where_part, having_parts = q_object, []
else:
where_part, having_parts = self.split_having_parts(
q_object.clone(), q_object.negated)
used_aliases = self.used_aliases
clause = self._add_q(where_part, used_aliases)
self.where.add(clause, AND)
for hp in having_parts:
clause = self._add_q(hp, used_aliases)
self.having.add(clause, AND)
if self.filter_is_sticky:
self.used_aliases = used_aliases
def _add_q(self, q_object, used_aliases, branch_negated=False,
current_negated=False):
"""
Adds a Q-object to the current filter.
Can also be used to add anything that has an 'add_to_query()' method.
"""
if used_aliases is None:
used_aliases = self.used_aliases
if hasattr(q_object, 'add_to_query'):
# Complex custom objects are responsible for adding themselves.
q_object.add_to_query(self, used_aliases)
else:
if self.where and q_object.connector != AND and len(q_object) > 1:
self.where.start_subtree(AND)
subtree = True
else:
subtree = False
connector = q_object.connector
current_negated = current_negated ^ q_object.negated
branch_negated = branch_negated or q_object.negated
# Note that if the connector happens to match what we have already in
# the tree, the add will be a no-op.
target_clause = self.where_class(connector=connector,
negated=q_object.negated)
if connector == OR:
alias_usage_counts = dict()
aliases_before = set(self.tables)
if q_object.connector == OR and not force_having:
force_having = self.need_force_having(q_object)
for child in q_object.children:
if force_having:
self.having.start_subtree(connector)
else:
self.where.start_subtree(connector)
if connector == OR:
refcounts_before = self.alias_refcount.copy()
if isinstance(child, Node):
self.add_q(child, used_aliases, force_having=force_having)
child_clause = self._add_q(
child, used_aliases, branch_negated,
current_negated)
else:
self.add_filter(child, connector, q_object.negated,
can_reuse=used_aliases, force_having=force_having)
child_clause = self.build_filter(
child, can_reuse=used_aliases, branch_negated=branch_negated,
current_negated=current_negated)
target_clause.add(child_clause, connector)
if connector == OR:
used = alias_diff(refcounts_before, self.alias_refcount)
for alias in used:
alias_usage_counts[alias] = alias_usage_counts.get(alias, 0) + 1
if force_having:
self.having.end_subtree()
else:
self.where.end_subtree()
if connector == OR:
self.promote_disjunction(aliases_before, alias_usage_counts,
len(q_object.children))
if q_object.negated:
self.where.negate()
if subtree:
self.where.end_subtree()
if self.filter_is_sticky:
self.used_aliases = used_aliases
return target_clause
def names_to_path(self, names, opts, allow_many=False,
allow_explicit_fk=True):
def names_to_path(self, names, opts, allow_many, allow_explicit_fk):
"""
Walks the names path and turns them PathInfo tuples. Note that a
single name in 'names' can generate multiple PathInfos (m2m for
@ -1413,7 +1440,7 @@ class Query(object):
"""
# Generate the inner query.
query = Query(self.model)
query.add_filter(filter_expr)
query.where.add(query.build_filter(filter_expr), AND)
query.bump_prefix()
query.clear_ordering(True)
# Try to have as simple as possible subquery -> trim leading joins from
@ -1443,8 +1470,9 @@ class Query(object):
path[paths_in_prefix - len(path)].from_field.name)
break
trimmed_prefix = LOOKUP_SEP.join(trimmed_prefix)
self.add_filter(('%s__in' % trimmed_prefix, query), negate=True,
can_reuse=can_reuse)
return self.build_filter(
('%s__in' % trimmed_prefix, query),
current_negated=True, branch_negated=True, can_reuse=can_reuse)
def set_empty(self):
self.where = EmptyWhere()

View File

@ -46,18 +46,17 @@ class WhereNode(tree.Node):
"""
default = AND
def add(self, data, connector):
def _prepare_data(self, data):
"""
Add a node to the where-tree. If the data is a list or tuple, it is
expected to be of the form (obj, lookup_type, value), where obj is
a Constraint object, and is then slightly munged before being stored
(to avoid storing any reference to field objects). Otherwise, the 'data'
is stored unchanged and can be any class with an 'as_sql()' method.
Prepare data for addition to the tree. If the data is a list or tuple,
it is expected to be of the form (obj, lookup_type, value), where obj
is a Constraint object, and is then slightly munged before being
stored (to avoid storing any reference to field objects). Otherwise,
the 'data' is stored unchanged and can be any class with an 'as_sql()'
method.
"""
if not isinstance(data, (list, tuple)):
super(WhereNode, self).add(data, connector)
return
return data
obj, lookup_type, value = data
if isinstance(value, collections.Iterator):
# Consume any generators immediately, so that we can determine
@ -78,9 +77,7 @@ class WhereNode(tree.Node):
if hasattr(obj, "prepare"):
value = obj.prepare(lookup_type, value)
super(WhereNode, self).add(
(obj, lookup_type, value_annotation, value), connector)
return (obj, lookup_type, value_annotation, value)
def as_sql(self, qn, connection):
"""
@ -154,6 +151,18 @@ class WhereNode(tree.Node):
sql_string = '(%s)' % sql_string
return sql_string, result_params
def get_cols(self):
cols = []
for child in self.children:
if hasattr(child, 'get_cols'):
cols.extend(child.get_cols())
else:
if isinstance(child[0], Constraint):
cols.append((child[0].alias, child[0].col))
if hasattr(child[3], 'get_cols'):
cols.extend(child[3].get_cols())
return cols
def make_atom(self, child, qn, connection):
"""
Turn a tuple (Constraint(table_alias, column_name, db_type),
@ -284,7 +293,6 @@ class WhereNode(tree.Node):
with empty subtree_parents). Childs must be either (Contraint, lookup,
value) tuples, or objects supporting .clone().
"""
assert not self.subtree_parents
clone = self.__class__._new_instance(
children=[], connector=self.connector, negated=self.negated)
for child in self.children:

View File

@ -19,14 +19,9 @@ class Node(object):
"""
Constructs a new Node. If no connector is given, the default will be
used.
Warning: You probably don't want to pass in the 'negated' parameter. It
is NOT the same as constructing a node and calling negate() on the
result.
"""
self.children = children and children[:] or []
self.connector = connector or self.default
self.subtree_parents = []
self.negated = negated
# We need this because of django.db.models.query_utils.Q. Q. __init__() is
@ -59,7 +54,6 @@ class Node(object):
obj = Node(connector=self.connector, negated=self.negated)
obj.__class__ = self.__class__
obj.children = copy.deepcopy(self.children, memodict)
obj.subtree_parents = copy.deepcopy(self.subtree_parents, memodict)
return obj
def __len__(self):
@ -83,74 +77,60 @@ class Node(object):
"""
return other in self.children
def add(self, node, conn_type):
def _prepare_data(self, data):
"""
Adds a new node to the tree. If the conn_type is the same as the root's
current connector type, the node is added to the first level.
Otherwise, the whole tree is pushed down one level and a new root
connector is created, connecting the existing tree and the new node.
A subclass hook for doing subclass specific transformations of the
given data on combine() or add().
"""
if node in self.children and conn_type == self.connector:
return
if len(self.children) < 2:
self.connector = conn_type
return data
def add(self, data, conn_type, squash=True):
"""
Combines this tree and the data represented by data using the
connector conn_type. The combine is done by squashing the node other
away if possible.
This tree (self) will never be pushed to a child node of the
combined tree, nor will the connector or negated properties change.
The function returns a node which can be used in place of data
regardless if the node other got squashed or not.
If `squash` is False the data is prepared and added as a child to
this tree without further logic.
"""
if data in self.children:
return data
data = self._prepare_data(data)
if not squash:
self.children.append(data)
return data
if self.connector == conn_type:
if isinstance(node, Node) and (node.connector == conn_type or
len(node) == 1):
self.children.extend(node.children)
# We can reuse self.children to append or squash the node other.
if (isinstance(data, Node) and not data.negated
and (data.connector == conn_type or len(data) == 1)):
# We can squash the other node's children directly into this
# node. We are just doing (AB)(CD) == (ABCD) here, with the
# addition that if the length of the other node is 1 the
# connector doesn't matter. However, for the len(self) == 1
# case we don't want to do the squashing, as it would alter
# self.connector.
self.children.extend(data.children)
return self
else:
self.children.append(node)
# We could use perhaps additional logic here to see if some
# children could be used for pushdown here.
self.children.append(data)
return data
else:
obj = self._new_instance(self.children, self.connector,
self.negated)
self.connector = conn_type
self.children = [obj, node]
self.children = [obj, data]
return data
def negate(self):
"""
Negate the sense of the root connector. This reorganises the children
so that the current node has a single child: a negated node containing
all the previous children. This slightly odd construction makes adding
new children behave more intuitively.
Interpreting the meaning of this negate is up to client code. This
method is useful for implementing "not" arrangements.
Negate the sense of the root connector.
"""
self.children = [self._new_instance(self.children, self.connector,
not self.negated)]
self.connector = self.default
def start_subtree(self, conn_type):
"""
Sets up internal state so that new nodes are added to a subtree of the
current node. The conn_type specifies how the sub-tree is joined to the
existing children.
"""
if len(self.children) == 1:
self.connector = conn_type
elif self.connector != conn_type:
self.children = [self._new_instance(self.children, self.connector,
self.negated)]
self.connector = conn_type
self.negated = False
self.subtree_parents.append(self.__class__(self.children,
self.connector, self.negated))
self.connector = self.default
self.negated = False
self.children = []
def end_subtree(self):
"""
Closes off the most recently unmatched start_subtree() call.
This puts the current state into a node of the parent tree and returns
the current instances state to be the parent.
"""
obj = self.subtree_parents.pop()
node = self.__class__(self.children, self.connector)
self.connector = obj.connector
self.negated = obj.negated
self.children = obj.children
self.children.append(node)
self.negated = not self.negated

View File

@ -10,6 +10,7 @@ from django.contrib.contenttypes.models import ContentType
from django.db.models import Count, Max, Avg, Sum, StdDev, Variance, F, Q
from django.test import TestCase, Approximate, skipUnlessDBFeature
from django.utils import six
from django.utils.unittest import expectedFailure
from .models import (Author, Book, Publisher, Clues, Entries, HardbackBook,
ItemTag, WithManualPK)
@ -472,7 +473,7 @@ class AggregationTests(TestCase):
# Regression for #15709 - Ensure each group_by field only exists once
# per query
qs = Book.objects.values('publisher').annotate(max_pages=Max('pages')).order_by()
grouping, gb_params = qs.query.get_compiler(qs.db).get_grouping([])
grouping, gb_params = qs.query.get_compiler(qs.db).get_grouping([], [])
self.assertEqual(len(grouping), 1)
def test_duplicate_alias(self):
@ -847,14 +848,14 @@ class AggregationTests(TestCase):
# The name of the explicitly provided annotation name in this case
# poses no problem
qs = Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2)
qs = Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2).order_by('name')
self.assertQuerysetEqual(
qs,
['Peter Norvig'],
lambda b: b.name
)
# Neither in this case
qs = Author.objects.annotate(book_count=Count('book')).filter(book_count=2)
qs = Author.objects.annotate(book_count=Count('book')).filter(book_count=2).order_by('name')
self.assertQuerysetEqual(
qs,
['Peter Norvig'],
@ -862,7 +863,7 @@ class AggregationTests(TestCase):
)
# This case used to fail because the ORM couldn't resolve the
# automatically generated annotation name `book__count`
qs = Author.objects.annotate(Count('book')).filter(book__count=2)
qs = Author.objects.annotate(Count('book')).filter(book__count=2).order_by('name')
self.assertQuerysetEqual(
qs,
['Peter Norvig'],
@ -1020,3 +1021,83 @@ class AggregationTests(TestCase):
('The Definitive Guide to Django: Web Development Done Right', 0)
]
)
def test_negated_aggregation(self):
expected_results = Author.objects.exclude(
pk__in=Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2)
).order_by('name')
expected_results = [a.name for a in expected_results]
qs = Author.objects.annotate(book_cnt=Count('book')).exclude(
Q(book_cnt=2), Q(book_cnt=2)).order_by('name')
self.assertQuerysetEqual(
qs,
expected_results,
lambda b: b.name
)
expected_results = Author.objects.exclude(
pk__in=Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2)
).order_by('name')
expected_results = [a.name for a in expected_results]
qs = Author.objects.annotate(book_cnt=Count('book')).exclude(Q(book_cnt=2)|Q(book_cnt=2)).order_by('name')
self.assertQuerysetEqual(
qs,
expected_results,
lambda b: b.name
)
def test_name_filters(self):
qs = Author.objects.annotate(Count('book')).filter(
Q(book__count__exact=2)|Q(name='Adrian Holovaty')
).order_by('name')
self.assertQuerysetEqual(
qs,
['Adrian Holovaty', 'Peter Norvig'],
lambda b: b.name
)
def test_name_expressions(self):
# Test that aggregates are spotted corretly from F objects.
# Note that Adrian's age is 34 in the fixtures, and he has one book
# so both conditions match one author.
qs = Author.objects.annotate(Count('book')).filter(
Q(name='Peter Norvig')|Q(age=F('book__count') + 33)
).order_by('name')
self.assertQuerysetEqual(
qs,
['Adrian Holovaty', 'Peter Norvig'],
lambda b: b.name
)
def test_ticket_11293(self):
q1 = Q(price__gt=50)
q2 = Q(authors__count__gt=1)
query = Book.objects.annotate(Count('authors')).filter(
q1 | q2).order_by('pk')
self.assertQuerysetEqual(
query, [1, 4, 5, 6],
lambda b: b.pk)
def test_ticket_11293_q_immutable(self):
"""
Check that splitting a q object to parts for where/having doesn't alter
the original q-object.
"""
q1 = Q(isbn='')
q2 = Q(authors__count__gt=1)
query = Book.objects.annotate(Count('authors'))
query.filter(q1 | q2)
self.assertEqual(len(q2.children), 1)
def test_fobj_group_by(self):
"""
Check that an F() object referring to related column works correctly
in group by.
"""
qs = Book.objects.annotate(
acount=Count('authors')
).filter(
acount=F('publisher__num_awards')
)
self.assertQuerysetEqual(
qs, ['Sams Teach Yourself Django in 24 Hours'],
lambda b: b.name)

View File

@ -475,3 +475,25 @@ class MyObject(models.Model):
parent = models.ForeignKey('self', null=True, blank=True, related_name='children')
data = models.CharField(max_length=100)
created_at = models.DateTimeField(auto_now_add=True)
# Models for #17600 regressions
@python_2_unicode_compatible
class Order(models.Model):
id = models.IntegerField(primary_key=True)
class Meta:
ordering = ('pk', )
def __str__(self):
return '%s' % self.pk
@python_2_unicode_compatible
class OrderItem(models.Model):
order = models.ForeignKey(Order, related_name='items')
status = models.IntegerField()
class Meta:
ordering = ('pk', )
def __str__(self):
return '%s' % self.pk

View File

@ -23,9 +23,9 @@ from .models import (Annotation, Article, Author, Celebrity, Child, Cover,
Ranking, Related, Report, ReservedName, Tag, TvChef, Valid, X, Food, Eaten,
Node, ObjectA, ObjectB, ObjectC, CategoryItem, SimpleCategory,
SpecialCategory, OneToOneCategory, NullableName, ProxyCategory,
SingleObject, RelatedObject, ModelA, ModelD, Responsibility, Job,
JobResponsibilities, BaseA, Identifier, Program, Channel, Page, Paragraph,
Chapter, Book, MyObject)
SingleObject, RelatedObject, ModelA, ModelB, ModelC, ModelD, Responsibility,
Job, JobResponsibilities, BaseA, Identifier, Program, Channel, Page,
Paragraph, Chapter, Book, MyObject, Order, OrderItem)
class BaseQuerysetTest(TestCase):
@ -834,7 +834,6 @@ class Queries1Tests(BaseQuerysetTest):
Note.objects.filter(Q(extrainfo__author=self.a1)|Q(extrainfo=xx)),
['<Note: n1>', '<Note: n3>']
)
xx.delete()
q = Note.objects.filter(Q(extrainfo__author=self.a1)|Q(extrainfo=xx)).query
self.assertEqual(
len([x[2] for x in q.alias_map.values() if x[2] == q.LOUTER and q.alias_refcount[x[1]]]),
@ -880,7 +879,6 @@ class Queries1Tests(BaseQuerysetTest):
Item.objects.filter(Q(tags__name='t4')),
[repr(i) for i in Item.objects.filter(~Q(~Q(tags__name='t4')))])
@unittest.expectedFailure
def test_exclude_in(self):
self.assertQuerysetEqual(
Item.objects.exclude(Q(tags__name__in=['t4', 't3'])),
@ -2291,6 +2289,103 @@ class ExcludeTest(TestCase):
Responsibility.objects.exclude(jobs__name='Manager'),
['<Responsibility: Programming>'])
class ExcludeTest17600(TestCase):
"""
Some regressiontests for ticket #17600. Some of these likely duplicate
other existing tests.
"""
def setUp(self):
# Create a few Orders.
self.o1 = Order.objects.create(pk=1)
self.o2 = Order.objects.create(pk=2)
self.o3 = Order.objects.create(pk=3)
# Create some OrderItems for the first order with homogeneous
# status_id values
self.oi1 = OrderItem.objects.create(order=self.o1, status=1)
self.oi2 = OrderItem.objects.create(order=self.o1, status=1)
self.oi3 = OrderItem.objects.create(order=self.o1, status=1)
# Create some OrderItems for the second order with heterogeneous
# status_id values
self.oi4 = OrderItem.objects.create(order=self.o2, status=1)
self.oi5 = OrderItem.objects.create(order=self.o2, status=2)
self.oi6 = OrderItem.objects.create(order=self.o2, status=3)
# Create some OrderItems for the second order with heterogeneous
# status_id values
self.oi7 = OrderItem.objects.create(order=self.o3, status=2)
self.oi8 = OrderItem.objects.create(order=self.o3, status=3)
self.oi9 = OrderItem.objects.create(order=self.o3, status=4)
def test_exclude_plain(self):
"""
This should exclude Orders which have some items with status 1
"""
self.assertQuerysetEqual(
Order.objects.exclude(items__status=1),
['<Order: 3>'])
def test_exclude_plain_distinct(self):
"""
This should exclude Orders which have some items with status 1
"""
self.assertQuerysetEqual(
Order.objects.exclude(items__status=1).distinct(),
['<Order: 3>'])
def test_exclude_with_q_object_distinct(self):
"""
This should exclude Orders which have some items with status 1
"""
self.assertQuerysetEqual(
Order.objects.exclude(Q(items__status=1)).distinct(),
['<Order: 3>'])
def test_exclude_with_q_object_no_distinct(self):
"""
This should exclude Orders which have some items with status 1
"""
self.assertQuerysetEqual(
Order.objects.exclude(Q(items__status=1)),
['<Order: 3>'])
def test_exclude_with_q_is_equal_to_plain_exclude(self):
"""
Using exclude(condition) and exclude(Q(condition)) should
yield the same QuerySet
"""
self.assertEqual(
list(Order.objects.exclude(items__status=1).distinct()),
list(Order.objects.exclude(Q(items__status=1)).distinct()))
def test_exclude_with_q_is_equal_to_plain_exclude_variation(self):
"""
Using exclude(condition) and exclude(Q(condition)) should
yield the same QuerySet
"""
self.assertEqual(
list(Order.objects.exclude(items__status=1)),
list(Order.objects.exclude(Q(items__status=1)).distinct()))
@unittest.expectedFailure
def test_only_orders_with_all_items_having_status_1(self):
"""
This should only return orders having ALL items set to status 1, or
those items not having any orders at all. The correct way to write
this query in SQL seems to be using two nested subqueries.
"""
self.assertQuerysetEqual(
Order.objects.exclude(~Q(items__status=1)).distinct(),
['<Order: 1>'])
class NullInExcludeTest(TestCase):
def setUp(self):
NullableName.objects.create(name='i1')
@ -2326,6 +2421,14 @@ class NullInExcludeTest(TestCase):
NullableName.objects.exclude(name__in=[None]),
['i1'], attrgetter('name'))
def test_double_exclude(self):
self.assertEqual(
list(NullableName.objects.filter(~~Q(name='i1'))),
list(NullableName.objects.filter(Q(name='i1'))))
self.assertNotIn(
'IS NOT NULL',
str(NullableName.objects.filter(~~Q(name='i1')).query))
class EmptyStringsAsNullTest(TestCase):
"""
Test that filtering on non-null character fields works as expected.
@ -2433,8 +2536,12 @@ class WhereNodeTest(TestCase):
class NullJoinPromotionOrTest(TestCase):
def setUp(self):
d = ModelD.objects.create(name='foo')
ModelA.objects.create(name='bar', d=d)
self.d1 = ModelD.objects.create(name='foo')
d2 = ModelD.objects.create(name='bar')
self.a1 = ModelA.objects.create(name='a1', d=self.d1)
c = ModelC.objects.create(name='c')
b = ModelB.objects.create(name='b', c=c)
self.a2 = ModelA.objects.create(name='a2', b=b, d=d2)
def test_ticket_17886(self):
# The first Q-object is generating the match, the rest of the filters
@ -2448,12 +2555,38 @@ class NullJoinPromotionOrTest(TestCase):
Q(b__c__name='foo')
)
qset = ModelA.objects.filter(q_obj)
self.assertEqual(len(qset), 1)
self.assertEqual(list(qset), [self.a1])
# We generate one INNER JOIN to D. The join is direct and not nullable
# so we can use INNER JOIN for it. However, we can NOT use INNER JOIN
# for the b->c join, as a->b is nullable.
self.assertEqual(str(qset.query).count('INNER JOIN'), 1)
def test_isnull_filter_promotion(self):
qs = ModelA.objects.filter(Q(b__name__isnull=True))
self.assertEqual(str(qs.query).count('LEFT OUTER'), 1)
self.assertEqual(list(qs), [self.a1])
qs = ModelA.objects.filter(~Q(b__name__isnull=True))
self.assertEqual(str(qs.query).count('INNER JOIN'), 1)
self.assertEqual(list(qs), [self.a2])
qs = ModelA.objects.filter(~~Q(b__name__isnull=True))
self.assertEqual(str(qs.query).count('LEFT OUTER'), 1)
self.assertEqual(list(qs), [self.a1])
qs = ModelA.objects.filter(Q(b__name__isnull=False))
self.assertEqual(str(qs.query).count('INNER JOIN'), 1)
self.assertEqual(list(qs), [self.a2])
qs = ModelA.objects.filter(~Q(b__name__isnull=False))
self.assertEqual(str(qs.query).count('LEFT OUTER'), 1)
self.assertEqual(list(qs), [self.a1])
qs = ModelA.objects.filter(~~Q(b__name__isnull=False))
self.assertEqual(str(qs.query).count('INNER JOIN'), 1)
self.assertEqual(list(qs), [self.a2])
class ReverseJoinTrimmingTest(TestCase):
def test_reverse_trimming(self):
# Check that we don't accidentally trim reverse joins - we can't know