Fixed a problem when constructing complex select_related() calls.
Avoids joining with the wrong tables when connecting select_related() tables to the main query. This also leads to slightly more efficient (meaning less tables are joined) SQL queries in some other cases, too. Some unnecessary tables are now trimmed that were not previously. git-svn-id: http://code.djangoproject.com/svn/django/trunk@7741 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -631,8 +631,10 @@ class Query(object):
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# We have to do the same "final join" optimisation as in
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# add_filter, since the final column might not otherwise be part of
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# the select set (so we can't order on it).
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join = self.alias_map[alias]
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if col == join[RHS_JOIN_COL]:
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while 1:
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join = self.alias_map[alias]
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if col != join[RHS_JOIN_COL]:
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break
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self.unref_alias(alias)
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alias = join[LHS_ALIAS]
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col = join[LHS_JOIN_COL]
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@ -830,6 +832,10 @@ class Query(object):
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if not always_create:
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for alias in self.join_map.get(t_ident, ()):
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if alias not in exclusions:
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if lhs_table and not self.alias_refcount[self.alias_map[alias][LHS_ALIAS]]:
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# The LHS of this join tuple is no longer part of the
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# query, so skip this possibility.
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continue
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self.ref_alias(alias)
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if promote:
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self.promote_alias(alias)
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@ -989,20 +995,22 @@ class Query(object):
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col = target.column
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alias = join_list[-1]
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if final > 1:
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while final > 1:
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# An optimization: if the final join is against the same column as
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# we are comparing against, we can go back one step in the join
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# chain and compare against the lhs of the join instead. The result
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# (potentially) involves one less table join.
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# chain and compare against the lhs of the join instead (and then
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# repeat the optimization). The result, potentially, involves less
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# table joins.
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join = self.alias_map[alias]
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if col == join[RHS_JOIN_COL]:
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self.unref_alias(alias)
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alias = join[LHS_ALIAS]
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col = join[LHS_JOIN_COL]
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join_list = join_list[:-1]
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final -= 1
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if final == penultimate:
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penultimate = last.pop()
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if col != join[RHS_JOIN_COL]:
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break
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self.unref_alias(alias)
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alias = join[LHS_ALIAS]
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col = join[LHS_JOIN_COL]
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join_list = join_list[:-1]
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final -= 1
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if final == penultimate:
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penultimate = last.pop()
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if (lookup_type == 'isnull' and value is True and not negate and
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final > 1):
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@ -135,6 +135,24 @@ class ManagedModel(models.Model):
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def __unicode__(self):
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return self.data
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# An inter-related setup with multiple paths from Child to Detail.
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class Detail(models.Model):
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data = models.CharField(max_length=10)
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class MemberManager(models.Manager):
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def get_query_set(self):
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return super(MemberManager, self).get_query_set().select_related("details")
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class Member(models.Model):
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name = models.CharField(max_length=10)
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details = models.OneToOneField(Detail, primary_key=True)
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objects = MemberManager()
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class Child(models.Model):
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person = models.OneToOneField(Member, primary_key=True)
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parent = models.ForeignKey(Member, related_name="children")
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__test__ = {'API_TESTS':"""
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>>> t1 = Tag(name='t1')
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@ -720,5 +738,23 @@ appropriately.
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>>> Report.objects.values_list("creator__extra__info", flat=True).order_by("name")
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[u'e1', u'e2', None]
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Similarly for select_related(), joins beyond an initial nullable join must
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use outer joins so that all results are included.
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>>> Report.objects.select_related("creator", "creator__extra").order_by("name")
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[<Report: r1>, <Report: r2>, <Report: r3>]
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When there are multiple paths to a table from another table, we have to be
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careful not to accidentally reuse an inappropriate join when using
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select_related(). We used to return the parent's Detail record here by mistake.
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>>> d1 = Detail.objects.create(data="d1")
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>>> d2 = Detail.objects.create(data="d2")
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>>> m1 = Member.objects.create(name="m1", details=d1)
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>>> m2 = Member.objects.create(name="m2", details=d2)
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>>> c1 = Child.objects.create(person=m2, parent=m1)
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>>> obj = m1.children.select_related("person__details")[0]
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>>> obj.person.details.data
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u'd2'
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"""}
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