2001 lines
84 KiB
Python
2001 lines
84 KiB
Python
"""
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Create SQL statements for QuerySets.
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The code in here encapsulates all of the SQL construction so that QuerySets
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themselves do not have to (and could be backed by things other than SQL
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databases). The abstraction barrier only works one way: this module has to know
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all about the internals of models in order to get the information it needs.
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"""
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import copy
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from django.utils.datastructures import SortedDict
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from django.utils.encoding import force_unicode
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from django.utils.tree import Node
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from django.db import connections, DEFAULT_DB_ALIAS
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from django.db.models import signals
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from django.db.models.expressions import ExpressionNode
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from django.db.models.fields import FieldDoesNotExist
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from django.db.models.query_utils import InvalidQuery
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from django.db.models.sql import aggregates as base_aggregates_module
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from django.db.models.sql.constants import *
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from django.db.models.sql.datastructures import EmptyResultSet, Empty, MultiJoin
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from django.db.models.sql.expressions import SQLEvaluator
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from django.db.models.sql.where import (WhereNode, Constraint, EverythingNode,
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ExtraWhere, AND, OR)
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from django.core.exceptions import FieldError
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__all__ = ['Query', 'RawQuery']
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class RawQuery(object):
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"""
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A single raw SQL query
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"""
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def __init__(self, sql, using, params=None):
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self.params = params or ()
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self.sql = sql
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self.using = using
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self.cursor = None
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# Mirror some properties of a normal query so that
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# the compiler can be used to process results.
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self.low_mark, self.high_mark = 0, None # Used for offset/limit
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self.extra_select = {}
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self.aggregate_select = {}
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def clone(self, using):
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return RawQuery(self.sql, using, params=self.params)
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def convert_values(self, value, field, connection):
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"""Convert the database-returned value into a type that is consistent
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across database backends.
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By default, this defers to the underlying backend operations, but
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it can be overridden by Query classes for specific backends.
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"""
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return connection.ops.convert_values(value, field)
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def get_columns(self):
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if self.cursor is None:
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self._execute_query()
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converter = connections[self.using].introspection.table_name_converter
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return [converter(column_meta[0])
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for column_meta in self.cursor.description]
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def __iter__(self):
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# Always execute a new query for a new iterator.
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# This could be optimized with a cache at the expense of RAM.
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self._execute_query()
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if not connections[self.using].features.can_use_chunked_reads:
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# If the database can't use chunked reads we need to make sure we
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# evaluate the entire query up front.
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result = list(self.cursor)
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else:
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result = self.cursor
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return iter(result)
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def __repr__(self):
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return "<RawQuery: %r>" % (self.sql % tuple(self.params))
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def _execute_query(self):
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self.cursor = connections[self.using].cursor()
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self.cursor.execute(self.sql, self.params)
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class Query(object):
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"""
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A single SQL query.
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"""
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# SQL join types. These are part of the class because their string forms
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# vary from database to database and can be customised by a subclass.
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INNER = 'INNER JOIN'
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LOUTER = 'LEFT OUTER JOIN'
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alias_prefix = 'T'
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query_terms = QUERY_TERMS
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aggregates_module = base_aggregates_module
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compiler = 'SQLCompiler'
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def __init__(self, model, where=WhereNode):
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self.model = model
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self.alias_refcount = {}
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self.alias_map = {} # Maps alias to join information
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self.table_map = {} # Maps table names to list of aliases.
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self.join_map = {}
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self.rev_join_map = {} # Reverse of join_map.
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self.quote_cache = {}
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self.default_cols = True
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self.default_ordering = True
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self.standard_ordering = True
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self.ordering_aliases = []
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self.select_fields = []
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self.related_select_fields = []
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self.dupe_avoidance = {}
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self.used_aliases = set()
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self.filter_is_sticky = False
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self.included_inherited_models = {}
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# SQL-related attributes
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self.select = []
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self.tables = [] # Aliases in the order they are created.
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self.where = where()
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self.where_class = where
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self.group_by = None
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self.having = where()
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self.order_by = []
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self.low_mark, self.high_mark = 0, None # Used for offset/limit
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self.distinct = False
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self.distinct_fields = []
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self.select_for_update = False
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self.select_for_update_nowait = False
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self.select_related = False
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self.related_select_cols = []
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# SQL aggregate-related attributes
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self.aggregates = SortedDict() # Maps alias -> SQL aggregate function
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self.aggregate_select_mask = None
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self._aggregate_select_cache = None
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# Arbitrary maximum limit for select_related. Prevents infinite
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# recursion. Can be changed by the depth parameter to select_related().
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self.max_depth = 5
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# These are for extensions. The contents are more or less appended
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# verbatim to the appropriate clause.
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self.extra = SortedDict() # Maps col_alias -> (col_sql, params).
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self.extra_select_mask = None
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self._extra_select_cache = None
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self.extra_tables = ()
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self.extra_order_by = ()
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# A tuple that is a set of model field names and either True, if these
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# are the fields to defer, or False if these are the only fields to
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# load.
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self.deferred_loading = (set(), True)
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def __str__(self):
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"""
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Returns the query as a string of SQL with the parameter values
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substituted in (use sql_with_params() to see the unsubstituted string).
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Parameter values won't necessarily be quoted correctly, since that is
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done by the database interface at execution time.
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"""
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sql, params = self.sql_with_params()
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return sql % params
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def sql_with_params(self):
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"""
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Returns the query as an SQL string and the parameters that will be
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subsituted into the query.
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"""
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return self.get_compiler(DEFAULT_DB_ALIAS).as_sql()
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def __deepcopy__(self, memo):
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result = self.clone(memo=memo)
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memo[id(self)] = result
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return result
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def __getstate__(self):
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"""
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Pickling support.
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"""
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obj_dict = self.__dict__.copy()
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obj_dict['related_select_fields'] = []
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obj_dict['related_select_cols'] = []
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# Fields can't be pickled, so if a field list has been
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# specified, we pickle the list of field names instead.
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# None is also a possible value; that can pass as-is
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obj_dict['select_fields'] = [
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f is not None and f.name or None
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for f in obj_dict['select_fields']
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]
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return obj_dict
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def __setstate__(self, obj_dict):
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"""
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Unpickling support.
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"""
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# Rebuild list of field instances
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opts = obj_dict['model']._meta
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obj_dict['select_fields'] = [
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name is not None and opts.get_field(name) or None
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for name in obj_dict['select_fields']
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]
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self.__dict__.update(obj_dict)
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def prepare(self):
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return self
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def get_compiler(self, using=None, connection=None):
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if using is None and connection is None:
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raise ValueError("Need either using or connection")
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if using:
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connection = connections[using]
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# Check that the compiler will be able to execute the query
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for alias, aggregate in self.aggregate_select.items():
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connection.ops.check_aggregate_support(aggregate)
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return connection.ops.compiler(self.compiler)(self, connection, using)
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def get_meta(self):
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"""
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Returns the Options instance (the model._meta) from which to start
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processing. Normally, this is self.model._meta, but it can be changed
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by subclasses.
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"""
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return self.model._meta
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def clone(self, klass=None, memo=None, **kwargs):
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"""
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Creates a copy of the current instance. The 'kwargs' parameter can be
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used by clients to update attributes after copying has taken place.
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"""
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obj = Empty()
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obj.__class__ = klass or self.__class__
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obj.model = self.model
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obj.alias_refcount = self.alias_refcount.copy()
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obj.alias_map = self.alias_map.copy()
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obj.table_map = self.table_map.copy()
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obj.join_map = self.join_map.copy()
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obj.rev_join_map = self.rev_join_map.copy()
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obj.quote_cache = {}
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obj.default_cols = self.default_cols
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obj.default_ordering = self.default_ordering
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obj.standard_ordering = self.standard_ordering
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obj.included_inherited_models = self.included_inherited_models.copy()
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obj.ordering_aliases = []
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obj.select_fields = self.select_fields[:]
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obj.related_select_fields = self.related_select_fields[:]
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obj.dupe_avoidance = self.dupe_avoidance.copy()
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obj.select = self.select[:]
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obj.tables = self.tables[:]
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obj.where = copy.deepcopy(self.where, memo=memo)
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obj.where_class = self.where_class
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if self.group_by is None:
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obj.group_by = None
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else:
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obj.group_by = self.group_by[:]
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obj.having = copy.deepcopy(self.having, memo=memo)
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obj.order_by = self.order_by[:]
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obj.low_mark, obj.high_mark = self.low_mark, self.high_mark
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obj.distinct = self.distinct
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obj.distinct_fields = self.distinct_fields[:]
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obj.select_for_update = self.select_for_update
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obj.select_for_update_nowait = self.select_for_update_nowait
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obj.select_related = self.select_related
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obj.related_select_cols = []
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obj.aggregates = copy.deepcopy(self.aggregates, memo=memo)
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if self.aggregate_select_mask is None:
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obj.aggregate_select_mask = None
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else:
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obj.aggregate_select_mask = self.aggregate_select_mask.copy()
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# _aggregate_select_cache cannot be copied, as doing so breaks the
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# (necessary) state in which both aggregates and
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# _aggregate_select_cache point to the same underlying objects.
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# It will get re-populated in the cloned queryset the next time it's
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# used.
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obj._aggregate_select_cache = None
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obj.max_depth = self.max_depth
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obj.extra = self.extra.copy()
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if self.extra_select_mask is None:
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obj.extra_select_mask = None
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else:
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obj.extra_select_mask = self.extra_select_mask.copy()
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if self._extra_select_cache is None:
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obj._extra_select_cache = None
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else:
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obj._extra_select_cache = self._extra_select_cache.copy()
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obj.extra_tables = self.extra_tables
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obj.extra_order_by = self.extra_order_by
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obj.deferred_loading = copy.deepcopy(self.deferred_loading, memo=memo)
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if self.filter_is_sticky and self.used_aliases:
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obj.used_aliases = self.used_aliases.copy()
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else:
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obj.used_aliases = set()
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obj.filter_is_sticky = False
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obj.__dict__.update(kwargs)
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if hasattr(obj, '_setup_query'):
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obj._setup_query()
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return obj
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def convert_values(self, value, field, connection):
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"""Convert the database-returned value into a type that is consistent
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across database backends.
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By default, this defers to the underlying backend operations, but
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it can be overridden by Query classes for specific backends.
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"""
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return connection.ops.convert_values(value, field)
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def resolve_aggregate(self, value, aggregate, connection):
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"""Resolve the value of aggregates returned by the database to
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consistent (and reasonable) types.
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This is required because of the predisposition of certain backends
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to return Decimal and long types when they are not needed.
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"""
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if value is None:
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if aggregate.is_ordinal:
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return 0
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# Return None as-is
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return value
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elif aggregate.is_ordinal:
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# Any ordinal aggregate (e.g., count) returns an int
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return int(value)
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elif aggregate.is_computed:
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# Any computed aggregate (e.g., avg) returns a float
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return float(value)
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else:
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# Return value depends on the type of the field being processed.
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return self.convert_values(value, aggregate.field, connection)
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def get_aggregation(self, using):
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"""
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Returns the dictionary with the values of the existing aggregations.
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"""
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if not self.aggregate_select:
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return {}
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# If there is a group by clause, aggregating does not add useful
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# information but retrieves only the first row. Aggregate
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# over the subquery instead.
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if self.group_by is not None:
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from django.db.models.sql.subqueries import AggregateQuery
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query = AggregateQuery(self.model)
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obj = self.clone()
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# Remove any aggregates marked for reduction from the subquery
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# and move them to the outer AggregateQuery.
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for alias, aggregate in self.aggregate_select.items():
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if aggregate.is_summary:
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query.aggregate_select[alias] = aggregate
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del obj.aggregate_select[alias]
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try:
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query.add_subquery(obj, using)
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except EmptyResultSet:
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return dict(
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(alias, None)
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for alias in query.aggregate_select
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)
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else:
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query = self
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self.select = []
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self.default_cols = False
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self.extra = {}
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self.remove_inherited_models()
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query.clear_ordering(True)
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query.clear_limits()
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query.select_for_update = False
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query.select_related = False
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query.related_select_cols = []
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query.related_select_fields = []
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result = query.get_compiler(using).execute_sql(SINGLE)
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if result is None:
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result = [None for q in query.aggregate_select.items()]
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return dict([
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(alias, self.resolve_aggregate(val, aggregate, connection=connections[using]))
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for (alias, aggregate), val
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in zip(query.aggregate_select.items(), result)
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])
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def get_count(self, using):
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"""
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Performs a COUNT() query using the current filter constraints.
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"""
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obj = self.clone()
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if len(self.select) > 1 or self.aggregate_select or (self.distinct and self.distinct_fields):
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# If a select clause exists, then the query has already started to
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# specify the columns that are to be returned.
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# In this case, we need to use a subquery to evaluate the count.
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from django.db.models.sql.subqueries import AggregateQuery
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subquery = obj
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subquery.clear_ordering(True)
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subquery.clear_limits()
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obj = AggregateQuery(obj.model)
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try:
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obj.add_subquery(subquery, using=using)
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except EmptyResultSet:
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# add_subquery evaluates the query, if it's an EmptyResultSet
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# then there are can be no results, and therefore there the
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# count is obviously 0
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return 0
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obj.add_count_column()
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number = obj.get_aggregation(using=using)[None]
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# Apply offset and limit constraints manually, since using LIMIT/OFFSET
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# in SQL (in variants that provide them) doesn't change the COUNT
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# output.
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number = max(0, number - self.low_mark)
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if self.high_mark is not None:
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number = min(number, self.high_mark - self.low_mark)
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return number
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def has_results(self, using):
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q = self.clone()
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q.add_extra({'a': 1}, None, None, None, None, None)
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q.select = []
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q.select_fields = []
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q.default_cols = False
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q.select_related = False
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q.set_extra_mask(('a',))
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q.set_aggregate_mask(())
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q.clear_ordering(True)
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q.set_limits(high=1)
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compiler = q.get_compiler(using=using)
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return bool(compiler.execute_sql(SINGLE))
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def combine(self, rhs, connector):
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"""
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Merge the 'rhs' query into the current one (with any 'rhs' effects
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being applied *after* (that is, "to the right of") anything in the
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current query. 'rhs' is not modified during a call to this function.
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The 'connector' parameter describes how to connect filters from the
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'rhs' query.
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"""
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assert self.model == rhs.model, \
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"Cannot combine queries on two different base models."
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assert self.can_filter(), \
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"Cannot combine queries once a slice has been taken."
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assert self.distinct == rhs.distinct, \
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"Cannot combine a unique query with a non-unique query."
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assert self.distinct_fields == rhs.distinct_fields, \
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"Cannot combine queries with different distinct fields."
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self.remove_inherited_models()
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# Work out how to relabel the rhs aliases, if necessary.
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change_map = {}
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used = set()
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conjunction = (connector == AND)
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first = True
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for alias in rhs.tables:
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if not rhs.alias_refcount[alias]:
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# An unused alias.
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continue
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promote = (rhs.alias_map[alias][JOIN_TYPE] == self.LOUTER)
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lhs, table, lhs_col, col = rhs.rev_join_map[alias]
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# If the left side of the join was already relabeled, use the
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# updated alias.
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lhs = change_map.get(lhs, lhs)
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new_alias = self.join((lhs, table, lhs_col, col),
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(conjunction and not first), used, promote, not conjunction)
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used.add(new_alias)
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change_map[alias] = new_alias
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first = False
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# So that we don't exclude valid results in an "or" query combination,
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# all joins exclusive to either the lhs or the rhs must be converted
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# to an outer join.
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if not conjunction:
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l_tables = set(self.tables)
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r_tables = set(rhs.tables)
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# Update r_tables aliases.
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for alias in change_map:
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if alias in r_tables:
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# r_tables may contain entries that have a refcount of 0
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# if the query has references to a table that can be
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# trimmed because only the foreign key is used.
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# We only need to fix the aliases for the tables that
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# actually have aliases.
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if rhs.alias_refcount[alias]:
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r_tables.remove(alias)
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r_tables.add(change_map[alias])
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# Find aliases that are exclusive to rhs or lhs.
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# These are promoted to outer joins.
|
|
outer_tables = (l_tables | r_tables) - (l_tables & r_tables)
|
|
for alias in outer_tables:
|
|
# Again, some of the tables won't have aliases due to
|
|
# the trimming of unnecessary tables.
|
|
if self.alias_refcount.get(alias) or rhs.alias_refcount.get(alias):
|
|
self.promote_alias(alias, True)
|
|
|
|
# Now relabel a copy of the rhs where-clause and add it to the current
|
|
# one.
|
|
if rhs.where:
|
|
w = copy.deepcopy(rhs.where)
|
|
w.relabel_aliases(change_map)
|
|
if not self.where:
|
|
# Since 'self' matches everything, add an explicit "include
|
|
# everything" where-constraint so that connections between the
|
|
# where clauses won't exclude valid results.
|
|
self.where.add(EverythingNode(), AND)
|
|
elif self.where:
|
|
# rhs has an empty where clause.
|
|
w = self.where_class()
|
|
w.add(EverythingNode(), AND)
|
|
else:
|
|
w = self.where_class()
|
|
self.where.add(w, connector)
|
|
|
|
# Selection columns and extra extensions are those provided by 'rhs'.
|
|
self.select = []
|
|
for col in rhs.select:
|
|
if isinstance(col, (list, tuple)):
|
|
self.select.append((change_map.get(col[0], col[0]), col[1]))
|
|
else:
|
|
item = copy.deepcopy(col)
|
|
item.relabel_aliases(change_map)
|
|
self.select.append(item)
|
|
self.select_fields = rhs.select_fields[:]
|
|
|
|
if connector == OR:
|
|
# It would be nice to be able to handle this, but the queries don't
|
|
# really make sense (or return consistent value sets). Not worth
|
|
# the extra complexity when you can write a real query instead.
|
|
if self.extra and rhs.extra:
|
|
raise ValueError("When merging querysets using 'or', you "
|
|
"cannot have extra(select=...) on both sides.")
|
|
self.extra.update(rhs.extra)
|
|
extra_select_mask = set()
|
|
if self.extra_select_mask is not None:
|
|
extra_select_mask.update(self.extra_select_mask)
|
|
if rhs.extra_select_mask is not None:
|
|
extra_select_mask.update(rhs.extra_select_mask)
|
|
if extra_select_mask:
|
|
self.set_extra_mask(extra_select_mask)
|
|
self.extra_tables += rhs.extra_tables
|
|
|
|
# Ordering uses the 'rhs' ordering, unless it has none, in which case
|
|
# the current ordering is used.
|
|
self.order_by = rhs.order_by and rhs.order_by[:] or self.order_by
|
|
self.extra_order_by = rhs.extra_order_by or self.extra_order_by
|
|
|
|
def deferred_to_data(self, target, callback):
|
|
"""
|
|
Converts the self.deferred_loading data structure to an alternate data
|
|
structure, describing the field that *will* be loaded. This is used to
|
|
compute the columns to select from the database and also by the
|
|
QuerySet class to work out which fields are being initialised on each
|
|
model. Models that have all their fields included aren't mentioned in
|
|
the result, only those that have field restrictions in place.
|
|
|
|
The "target" parameter is the instance that is populated (in place).
|
|
The "callback" is a function that is called whenever a (model, field)
|
|
pair need to be added to "target". It accepts three parameters:
|
|
"target", and the model and list of fields being added for that model.
|
|
"""
|
|
field_names, defer = self.deferred_loading
|
|
if not field_names:
|
|
return
|
|
orig_opts = self.model._meta
|
|
seen = {}
|
|
if orig_opts.proxy:
|
|
must_include = {orig_opts.proxy_for_model: set([orig_opts.pk])}
|
|
else:
|
|
must_include = {self.model: set([orig_opts.pk])}
|
|
for field_name in field_names:
|
|
parts = field_name.split(LOOKUP_SEP)
|
|
cur_model = self.model
|
|
opts = orig_opts
|
|
for name in parts[:-1]:
|
|
old_model = cur_model
|
|
source = opts.get_field_by_name(name)[0]
|
|
cur_model = opts.get_field_by_name(name)[0].rel.to
|
|
opts = cur_model._meta
|
|
# Even if we're "just passing through" this model, we must add
|
|
# both the current model's pk and the related reference field
|
|
# to the things we select.
|
|
must_include[old_model].add(source)
|
|
add_to_dict(must_include, cur_model, opts.pk)
|
|
field, model, _, _ = opts.get_field_by_name(parts[-1])
|
|
if model is None:
|
|
model = cur_model
|
|
add_to_dict(seen, model, field)
|
|
|
|
if defer:
|
|
# We need to load all fields for each model, except those that
|
|
# appear in "seen" (for all models that appear in "seen"). The only
|
|
# slight complexity here is handling fields that exist on parent
|
|
# models.
|
|
workset = {}
|
|
for model, values in seen.iteritems():
|
|
for field, m in model._meta.get_fields_with_model():
|
|
if field in values:
|
|
continue
|
|
add_to_dict(workset, m or model, field)
|
|
for model, values in must_include.iteritems():
|
|
# If we haven't included a model in workset, we don't add the
|
|
# corresponding must_include fields for that model, since an
|
|
# empty set means "include all fields". That's why there's no
|
|
# "else" branch here.
|
|
if model in workset:
|
|
workset[model].update(values)
|
|
for model, values in workset.iteritems():
|
|
callback(target, model, values)
|
|
else:
|
|
for model, values in must_include.iteritems():
|
|
if model in seen:
|
|
seen[model].update(values)
|
|
else:
|
|
# As we've passed through this model, but not explicitly
|
|
# included any fields, we have to make sure it's mentioned
|
|
# so that only the "must include" fields are pulled in.
|
|
seen[model] = values
|
|
# Now ensure that every model in the inheritance chain is mentioned
|
|
# in the parent list. Again, it must be mentioned to ensure that
|
|
# only "must include" fields are pulled in.
|
|
for model in orig_opts.get_parent_list():
|
|
if model not in seen:
|
|
seen[model] = set()
|
|
for model, values in seen.iteritems():
|
|
callback(target, model, values)
|
|
|
|
|
|
def deferred_to_columns_cb(self, target, model, fields):
|
|
"""
|
|
Callback used by deferred_to_columns(). The "target" parameter should
|
|
be a set instance.
|
|
"""
|
|
table = model._meta.db_table
|
|
if table not in target:
|
|
target[table] = set()
|
|
for field in fields:
|
|
target[table].add(field.column)
|
|
|
|
|
|
def table_alias(self, table_name, create=False):
|
|
"""
|
|
Returns a table alias for the given table_name and whether this is a
|
|
new alias or not.
|
|
|
|
If 'create' is true, a new alias is always created. Otherwise, the
|
|
most recently created alias for the table (if one exists) is reused.
|
|
"""
|
|
current = self.table_map.get(table_name)
|
|
if not create and current:
|
|
alias = current[0]
|
|
self.alias_refcount[alias] += 1
|
|
return alias, False
|
|
|
|
# Create a new alias for this table.
|
|
if current:
|
|
alias = '%s%d' % (self.alias_prefix, len(self.alias_map) + 1)
|
|
current.append(alias)
|
|
else:
|
|
# The first occurence of a table uses the table name directly.
|
|
alias = table_name
|
|
self.table_map[alias] = [alias]
|
|
self.alias_refcount[alias] = 1
|
|
self.tables.append(alias)
|
|
return alias, True
|
|
|
|
def ref_alias(self, alias):
|
|
""" Increases the reference count for this alias. """
|
|
self.alias_refcount[alias] += 1
|
|
|
|
def unref_alias(self, alias, amount=1):
|
|
""" Decreases the reference count for this alias. """
|
|
self.alias_refcount[alias] -= amount
|
|
|
|
def promote_alias(self, alias, unconditional=False):
|
|
"""
|
|
Promotes the join type of an alias to an outer join if it's possible
|
|
for the join to contain NULL values on the left. If 'unconditional' is
|
|
False, the join is only promoted if it is nullable, otherwise it is
|
|
always promoted.
|
|
|
|
Returns True if the join was promoted by this call.
|
|
"""
|
|
if ((unconditional or self.alias_map[alias][NULLABLE]) and
|
|
self.alias_map[alias][JOIN_TYPE] != self.LOUTER):
|
|
data = list(self.alias_map[alias])
|
|
data[JOIN_TYPE] = self.LOUTER
|
|
self.alias_map[alias] = tuple(data)
|
|
return True
|
|
return False
|
|
|
|
def promote_alias_chain(self, chain, must_promote=False):
|
|
"""
|
|
Walks along a chain of aliases, promoting the first nullable join and
|
|
any joins following that. If 'must_promote' is True, all the aliases in
|
|
the chain are promoted.
|
|
"""
|
|
for alias in chain:
|
|
if self.promote_alias(alias, must_promote):
|
|
must_promote = True
|
|
|
|
def reset_refcounts(self, to_counts):
|
|
"""
|
|
This method will reset reference counts for aliases so that they match
|
|
the value passed in :param to_counts:.
|
|
"""
|
|
for alias, cur_refcount in self.alias_refcount.copy().items():
|
|
unref_amount = cur_refcount - to_counts.get(alias, 0)
|
|
self.unref_alias(alias, unref_amount)
|
|
|
|
def promote_unused_aliases(self, initial_refcounts, used_aliases):
|
|
"""
|
|
Given a "before" copy of the alias_refcounts dictionary (as
|
|
'initial_refcounts') and a collection of aliases that may have been
|
|
changed or created, works out which aliases have been created since
|
|
then and which ones haven't been used and promotes all of those
|
|
aliases, plus any children of theirs in the alias tree, to outer joins.
|
|
"""
|
|
# FIXME: There's some (a lot of!) overlap with the similar OR promotion
|
|
# in add_filter(). It's not quite identical, but is very similar. So
|
|
# pulling out the common bits is something for later.
|
|
considered = {}
|
|
for alias in self.tables:
|
|
if alias not in used_aliases:
|
|
continue
|
|
if (alias not in initial_refcounts or
|
|
self.alias_refcount[alias] == initial_refcounts[alias]):
|
|
parent = self.alias_map[alias][LHS_ALIAS]
|
|
must_promote = considered.get(parent, False)
|
|
promoted = self.promote_alias(alias, must_promote)
|
|
considered[alias] = must_promote or promoted
|
|
|
|
def change_aliases(self, change_map):
|
|
"""
|
|
Changes the aliases in change_map (which maps old-alias -> new-alias),
|
|
relabelling any references to them in select columns and the where
|
|
clause.
|
|
"""
|
|
assert set(change_map.keys()).intersection(set(change_map.values())) == set()
|
|
|
|
# 1. Update references in "select" (normal columns plus aliases),
|
|
# "group by", "where" and "having".
|
|
self.where.relabel_aliases(change_map)
|
|
self.having.relabel_aliases(change_map)
|
|
for columns in [self.select, self.group_by or []]:
|
|
for pos, col in enumerate(columns):
|
|
if isinstance(col, (list, tuple)):
|
|
old_alias = col[0]
|
|
columns[pos] = (change_map.get(old_alias, old_alias), col[1])
|
|
else:
|
|
col.relabel_aliases(change_map)
|
|
for mapping in [self.aggregates]:
|
|
for key, col in mapping.items():
|
|
if isinstance(col, (list, tuple)):
|
|
old_alias = col[0]
|
|
mapping[key] = (change_map.get(old_alias, old_alias), col[1])
|
|
else:
|
|
col.relabel_aliases(change_map)
|
|
|
|
# 2. Rename the alias in the internal table/alias datastructures.
|
|
for old_alias, new_alias in change_map.iteritems():
|
|
alias_data = list(self.alias_map[old_alias])
|
|
alias_data[RHS_ALIAS] = new_alias
|
|
|
|
t = self.rev_join_map[old_alias]
|
|
data = list(self.join_map[t])
|
|
data[data.index(old_alias)] = new_alias
|
|
self.join_map[t] = tuple(data)
|
|
self.rev_join_map[new_alias] = t
|
|
del self.rev_join_map[old_alias]
|
|
self.alias_refcount[new_alias] = self.alias_refcount[old_alias]
|
|
del self.alias_refcount[old_alias]
|
|
self.alias_map[new_alias] = tuple(alias_data)
|
|
del self.alias_map[old_alias]
|
|
|
|
table_aliases = self.table_map[alias_data[TABLE_NAME]]
|
|
for pos, alias in enumerate(table_aliases):
|
|
if alias == old_alias:
|
|
table_aliases[pos] = new_alias
|
|
break
|
|
for pos, alias in enumerate(self.tables):
|
|
if alias == old_alias:
|
|
self.tables[pos] = new_alias
|
|
break
|
|
for key, alias in self.included_inherited_models.items():
|
|
if alias in change_map:
|
|
self.included_inherited_models[key] = change_map[alias]
|
|
|
|
# 3. Update any joins that refer to the old alias.
|
|
for alias, data in self.alias_map.iteritems():
|
|
lhs = data[LHS_ALIAS]
|
|
if lhs in change_map:
|
|
data = list(data)
|
|
data[LHS_ALIAS] = change_map[lhs]
|
|
self.alias_map[alias] = tuple(data)
|
|
|
|
def bump_prefix(self, exceptions=()):
|
|
"""
|
|
Changes the alias prefix to the next letter in the alphabet and
|
|
relabels all the aliases. Even tables that previously had no alias will
|
|
get an alias after this call (it's mostly used for nested queries and
|
|
the outer query will already be using the non-aliased table name).
|
|
|
|
Subclasses who create their own prefix should override this method to
|
|
produce a similar result (a new prefix and relabelled aliases).
|
|
|
|
The 'exceptions' parameter is a container that holds alias names which
|
|
should not be changed.
|
|
"""
|
|
current = ord(self.alias_prefix)
|
|
assert current < ord('Z')
|
|
prefix = chr(current + 1)
|
|
self.alias_prefix = prefix
|
|
change_map = {}
|
|
for pos, alias in enumerate(self.tables):
|
|
if alias in exceptions:
|
|
continue
|
|
new_alias = '%s%d' % (prefix, pos)
|
|
change_map[alias] = new_alias
|
|
self.tables[pos] = new_alias
|
|
self.change_aliases(change_map)
|
|
|
|
def get_initial_alias(self):
|
|
"""
|
|
Returns the first alias for this query, after increasing its reference
|
|
count.
|
|
"""
|
|
if self.tables:
|
|
alias = self.tables[0]
|
|
self.ref_alias(alias)
|
|
else:
|
|
alias = self.join((None, self.model._meta.db_table, None, None))
|
|
return alias
|
|
|
|
def count_active_tables(self):
|
|
"""
|
|
Returns the number of tables in this query with a non-zero reference
|
|
count. Note that after execution, the reference counts are zeroed, so
|
|
tables added in compiler will not be seen by this method.
|
|
"""
|
|
return len([1 for count in self.alias_refcount.itervalues() if count])
|
|
|
|
def join(self, connection, always_create=False, exclusions=(),
|
|
promote=False, outer_if_first=False, nullable=False, reuse=None):
|
|
"""
|
|
Returns an alias for the join in 'connection', either reusing an
|
|
existing alias for that join or creating a new one. 'connection' is a
|
|
tuple (lhs, table, lhs_col, col) where 'lhs' is either an existing
|
|
table alias or a table name. The join correspods to the SQL equivalent
|
|
of::
|
|
|
|
lhs.lhs_col = table.col
|
|
|
|
If 'always_create' is True and 'reuse' is None, a new alias is always
|
|
created, regardless of whether one already exists or not. If
|
|
'always_create' is True and 'reuse' is a set, an alias in 'reuse' that
|
|
matches the connection will be returned, if possible. If
|
|
'always_create' is False, the first existing alias that matches the
|
|
'connection' is returned, if any. Otherwise a new join is created.
|
|
|
|
If 'exclusions' is specified, it is something satisfying the container
|
|
protocol ("foo in exclusions" must work) and specifies a list of
|
|
aliases that should not be returned, even if they satisfy the join.
|
|
|
|
If 'promote' is True, the join type for the alias will be LOUTER (if
|
|
the alias previously existed, the join type will be promoted from INNER
|
|
to LOUTER, if necessary).
|
|
|
|
If 'outer_if_first' is True and a new join is created, it will have the
|
|
LOUTER join type. This is used when joining certain types of querysets
|
|
and Q-objects together.
|
|
|
|
If 'nullable' is True, the join can potentially involve NULL values and
|
|
is a candidate for promotion (to "left outer") when combining querysets.
|
|
"""
|
|
lhs, table, lhs_col, col = connection
|
|
if lhs in self.alias_map:
|
|
lhs_table = self.alias_map[lhs][TABLE_NAME]
|
|
else:
|
|
lhs_table = lhs
|
|
|
|
if reuse and always_create and table in self.table_map:
|
|
# Convert the 'reuse' to case to be "exclude everything but the
|
|
# reusable set, minus exclusions, for this table".
|
|
exclusions = set(self.table_map[table]).difference(reuse).union(set(exclusions))
|
|
always_create = False
|
|
t_ident = (lhs_table, table, lhs_col, col)
|
|
if not always_create:
|
|
for alias in self.join_map.get(t_ident, ()):
|
|
if alias not in exclusions:
|
|
if lhs_table and not self.alias_refcount[self.alias_map[alias][LHS_ALIAS]]:
|
|
# The LHS of this join tuple is no longer part of the
|
|
# query, so skip this possibility.
|
|
continue
|
|
if self.alias_map[alias][LHS_ALIAS] != lhs:
|
|
continue
|
|
self.ref_alias(alias)
|
|
if promote:
|
|
self.promote_alias(alias)
|
|
return alias
|
|
|
|
# No reuse is possible, so we need a new alias.
|
|
alias, _ = self.table_alias(table, True)
|
|
if not lhs:
|
|
# Not all tables need to be joined to anything. No join type
|
|
# means the later columns are ignored.
|
|
join_type = None
|
|
elif promote or outer_if_first:
|
|
join_type = self.LOUTER
|
|
else:
|
|
join_type = self.INNER
|
|
join = (table, alias, join_type, lhs, lhs_col, col, nullable)
|
|
self.alias_map[alias] = join
|
|
if t_ident in self.join_map:
|
|
self.join_map[t_ident] += (alias,)
|
|
else:
|
|
self.join_map[t_ident] = (alias,)
|
|
self.rev_join_map[alias] = t_ident
|
|
return alias
|
|
|
|
def setup_inherited_models(self):
|
|
"""
|
|
If the model that is the basis for this QuerySet inherits other models,
|
|
we need to ensure that those other models have their tables included in
|
|
the query.
|
|
|
|
We do this as a separate step so that subclasses know which
|
|
tables are going to be active in the query, without needing to compute
|
|
all the select columns (this method is called from pre_sql_setup(),
|
|
whereas column determination is a later part, and side-effect, of
|
|
as_sql()).
|
|
"""
|
|
opts = self.model._meta
|
|
root_alias = self.tables[0]
|
|
seen = {None: root_alias}
|
|
|
|
# Skip all proxy to the root proxied model
|
|
proxied_model = get_proxied_model(opts)
|
|
|
|
for field, model in opts.get_fields_with_model():
|
|
if model not in seen:
|
|
if model is proxied_model:
|
|
seen[model] = root_alias
|
|
else:
|
|
link_field = opts.get_ancestor_link(model)
|
|
seen[model] = self.join((root_alias, model._meta.db_table,
|
|
link_field.column, model._meta.pk.column))
|
|
self.included_inherited_models = seen
|
|
|
|
def remove_inherited_models(self):
|
|
"""
|
|
Undoes the effects of setup_inherited_models(). Should be called
|
|
whenever select columns (self.select) are set explicitly.
|
|
"""
|
|
for key, alias in self.included_inherited_models.items():
|
|
if key:
|
|
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):
|
|
"""
|
|
Adds a single aggregate expression to the Query
|
|
"""
|
|
opts = model._meta
|
|
field_list = aggregate.lookup.split(LOOKUP_SEP)
|
|
if len(field_list) == 1 and aggregate.lookup in self.aggregates:
|
|
# Aggregate is over an annotation
|
|
field_name = field_list[0]
|
|
col = field_name
|
|
source = self.aggregates[field_name]
|
|
if not is_summary:
|
|
raise FieldError("Cannot compute %s('%s'): '%s' is an aggregate" % (
|
|
aggregate.name, field_name, field_name))
|
|
elif ((len(field_list) > 1) or
|
|
(field_list[0] not in [i.name for i in opts.fields]) or
|
|
self.group_by is None or
|
|
not is_summary):
|
|
# If:
|
|
# - the field descriptor has more than one part (foo__bar), or
|
|
# - the field descriptor is referencing an m2m/m2o field, or
|
|
# - this is a reference to a model field (possibly inherited), or
|
|
# - this is an annotation over a model field
|
|
# then we need to explore the joins that are required.
|
|
|
|
field, source, opts, join_list, last, _ = self.setup_joins(
|
|
field_list, opts, self.get_initial_alias(), False)
|
|
|
|
# Process the join chain to see if it can be trimmed
|
|
col, _, join_list = self.trim_joins(source, join_list, last, False)
|
|
|
|
# If the aggregate references a model or field that requires a join,
|
|
# those joins must be LEFT OUTER - empty join rows must be returned
|
|
# in order for zeros to be returned for those aggregates.
|
|
for column_alias in join_list:
|
|
self.promote_alias(column_alias, unconditional=True)
|
|
|
|
col = (join_list[-1], col)
|
|
else:
|
|
# The simplest cases. No joins required -
|
|
# just reference the provided column alias.
|
|
field_name = field_list[0]
|
|
source = opts.get_field(field_name)
|
|
col = field_name
|
|
|
|
# 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, trim=False,
|
|
can_reuse=None, process_extras=True, force_having=False):
|
|
"""
|
|
Add a single filter to the query. The 'filter_expr' is a pair:
|
|
(filter_string, value). E.g. ('name__contains', 'fred')
|
|
|
|
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).
|
|
|
|
If 'trim' is True, we automatically trim the final join group (used
|
|
internally when constructing nested queries).
|
|
|
|
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.
|
|
|
|
If 'process_extras' is set, any extra filters returned from the table
|
|
joining process will be processed. This parameter is set to False
|
|
during the processing of extra filters to avoid infinite recursion.
|
|
"""
|
|
arg, value = filter_expr
|
|
parts = arg.split(LOOKUP_SEP)
|
|
if not parts:
|
|
raise FieldError("Cannot parse keyword query %r" % arg)
|
|
|
|
# Work out the lookup type and remove it from the end of 'parts',
|
|
# if necessary.
|
|
lookup_type = 'exact' # Default lookup type
|
|
num_parts = len(parts)
|
|
if (len(parts) > 1 and parts[-1] in self.query_terms
|
|
and arg not in self.aggregates):
|
|
# Traverse the lookup query to distinguish related fields from
|
|
# lookup types.
|
|
lookup_model = self.model
|
|
for counter, field_name in enumerate(parts):
|
|
try:
|
|
lookup_field = lookup_model._meta.get_field(field_name)
|
|
except FieldDoesNotExist:
|
|
# Not a field. Bail out.
|
|
lookup_type = parts.pop()
|
|
break
|
|
# Unless we're at the end of the list of lookups, let's attempt
|
|
# to continue traversing relations.
|
|
if (counter + 1) < num_parts:
|
|
try:
|
|
lookup_model = lookup_field.rel.to
|
|
except AttributeError:
|
|
# Not a related field. Bail out.
|
|
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
|
|
|
|
# Interpret '__exact=None' as the sql 'is NULL'; otherwise, reject all
|
|
# uses of None as a query value.
|
|
if value is None:
|
|
if lookup_type != 'exact':
|
|
raise ValueError("Cannot use None as a query value")
|
|
lookup_type = 'isnull'
|
|
value = True
|
|
elif callable(value):
|
|
value = value()
|
|
elif isinstance(value, ExpressionNode):
|
|
# If value is a query expression, evaluate it
|
|
value = SQLEvaluator(value, self)
|
|
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
|
|
|
|
opts = self.get_meta()
|
|
alias = self.get_initial_alias()
|
|
allow_many = trim or not negate
|
|
|
|
try:
|
|
field, target, opts, join_list, last, extra_filters = self.setup_joins(
|
|
parts, opts, alias, True, allow_many, allow_explicit_fk=True,
|
|
can_reuse=can_reuse, negate=negate,
|
|
process_extras=process_extras)
|
|
except MultiJoin, e:
|
|
self.split_exclude(filter_expr, LOOKUP_SEP.join(parts[:e.level]),
|
|
can_reuse)
|
|
return
|
|
|
|
table_promote = False
|
|
join_promote = False
|
|
|
|
if (lookup_type == 'isnull' and value is True and not negate 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
|
|
# needed, as it's less efficient at the database level.
|
|
self.promote_alias_chain(join_list)
|
|
join_promote = True
|
|
|
|
# Process the join list to see if we can remove any inner joins from
|
|
# the far end (fewer tables in a query is better).
|
|
nonnull_comparison = (lookup_type == 'isnull' and value is False)
|
|
col, alias, join_list = self.trim_joins(target, join_list, last, trim,
|
|
nonnull_comparison)
|
|
|
|
if connector == OR:
|
|
# Some joins may need to be promoted when adding a new filter to a
|
|
# disjunction. We walk the list of new joins and where it diverges
|
|
# from any previous joins (ref count is 1 in the table list), we
|
|
# make the new additions (and any existing ones not used in the new
|
|
# join list) an outer join.
|
|
join_it = iter(join_list)
|
|
table_it = iter(self.tables)
|
|
join_it.next(), table_it.next()
|
|
unconditional = False
|
|
for join in join_it:
|
|
table = table_it.next()
|
|
# Once we hit an outer join, all subsequent joins must
|
|
# also be promoted, regardless of whether they have been
|
|
# promoted as a result of this pass through the tables.
|
|
unconditional = (unconditional or
|
|
self.alias_map[join][JOIN_TYPE] == self.LOUTER)
|
|
if join == table and self.alias_refcount[join] > 1:
|
|
# We have more than one reference to this join table.
|
|
# This means that we are dealing with two different query
|
|
# subtrees, so we don't need to do any join promotion.
|
|
continue
|
|
join_promote = join_promote or self.promote_alias(join, unconditional)
|
|
if table != join:
|
|
table_promote = self.promote_alias(table)
|
|
# We only get here if we have found a table that exists
|
|
# in the join list, but isn't on the original tables list.
|
|
# This means we've reached the point where we only have
|
|
# new tables, so we can break out of this promotion loop.
|
|
break
|
|
self.promote_alias_chain(join_it, join_promote)
|
|
self.promote_alias_chain(table_it, table_promote or join_promote)
|
|
|
|
if having_clause or force_having:
|
|
if (alias, col) not in self.group_by:
|
|
self.group_by.append((alias, col))
|
|
self.having.add((Constraint(alias, col, field), lookup_type, value),
|
|
connector)
|
|
else:
|
|
self.where.add((Constraint(alias, col, field), lookup_type, value),
|
|
connector)
|
|
|
|
if negate:
|
|
self.promote_alias_chain(join_list)
|
|
if lookup_type != 'isnull':
|
|
if len(join_list) > 1:
|
|
for alias in join_list:
|
|
if self.alias_map[alias][JOIN_TYPE] == self.LOUTER:
|
|
j_col = self.alias_map[alias][RHS_JOIN_COL]
|
|
entry = self.where_class()
|
|
entry.add(
|
|
(Constraint(alias, j_col, None), 'isnull', True),
|
|
AND
|
|
)
|
|
entry.negate()
|
|
self.where.add(entry, AND)
|
|
break
|
|
if not (lookup_type == 'in'
|
|
and not hasattr(value, 'as_sql')
|
|
and not hasattr(value, '_as_sql')
|
|
and not value) and field.null:
|
|
# Leaky abstraction artifact: We have to specifically
|
|
# exclude the "foo__in=[]" case from this handling, because
|
|
# it's short-circuited in the Where class.
|
|
# We also need to handle the case where a subquery is provided
|
|
self.where.add((Constraint(alias, col, None), 'isnull', False), AND)
|
|
|
|
if can_reuse is not None:
|
|
can_reuse.update(join_list)
|
|
if process_extras:
|
|
for filter in extra_filters:
|
|
self.add_filter(filter, negate=negate, can_reuse=can_reuse,
|
|
process_extras=False)
|
|
|
|
def add_q(self, q_object, used_aliases=None, force_having=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 = AND
|
|
if q_object.connector == OR and not force_having:
|
|
force_having = self.need_force_having(q_object)
|
|
for child in q_object.children:
|
|
if connector == OR:
|
|
refcounts_before = self.alias_refcount.copy()
|
|
if force_having:
|
|
self.having.start_subtree(connector)
|
|
else:
|
|
self.where.start_subtree(connector)
|
|
if isinstance(child, Node):
|
|
self.add_q(child, used_aliases, force_having=force_having)
|
|
else:
|
|
self.add_filter(child, connector, q_object.negated,
|
|
can_reuse=used_aliases, force_having=force_having)
|
|
if force_having:
|
|
self.having.end_subtree()
|
|
else:
|
|
self.where.end_subtree()
|
|
|
|
if connector == OR:
|
|
# Aliases that were newly added or not used at all need to
|
|
# be promoted to outer joins if they are nullable relations.
|
|
# (they shouldn't turn the whole conditional into the empty
|
|
# set just because they don't match anything).
|
|
self.promote_unused_aliases(refcounts_before, used_aliases)
|
|
connector = q_object.connector
|
|
if q_object.negated:
|
|
self.where.negate()
|
|
if subtree:
|
|
self.where.end_subtree()
|
|
if self.filter_is_sticky:
|
|
self.used_aliases = used_aliases
|
|
|
|
def setup_joins(self, names, opts, alias, dupe_multis, allow_many=True,
|
|
allow_explicit_fk=False, can_reuse=None, negate=False,
|
|
process_extras=True):
|
|
"""
|
|
Compute the necessary table joins for the passage through the fields
|
|
given in 'names'. 'opts' is the Options class for the current model
|
|
(which gives the table we are joining to), 'alias' is the alias for the
|
|
table we are joining to. If dupe_multis is True, any many-to-many or
|
|
many-to-one joins will always create a new alias (necessary for
|
|
disjunctive filters). If can_reuse is not None, it's a list of aliases
|
|
that can be reused in these joins (nothing else can be reused in this
|
|
case). Finally, 'negate' is used in the same sense as for add_filter()
|
|
-- it indicates an exclude() filter, or something similar. It is only
|
|
passed in here so that it can be passed to a field's extra_filter() for
|
|
customized behavior.
|
|
|
|
Returns the final field involved in the join, the target database
|
|
column (used for any 'where' constraint), the final 'opts' value and the
|
|
list of tables joined.
|
|
"""
|
|
joins = [alias]
|
|
last = [0]
|
|
dupe_set = set()
|
|
exclusions = set()
|
|
extra_filters = []
|
|
int_alias = None
|
|
for pos, name in enumerate(names):
|
|
if int_alias is not None:
|
|
exclusions.add(int_alias)
|
|
exclusions.add(alias)
|
|
last.append(len(joins))
|
|
if name == 'pk':
|
|
name = opts.pk.name
|
|
try:
|
|
field, model, direct, m2m = opts.get_field_by_name(name)
|
|
except FieldDoesNotExist:
|
|
for f in opts.fields:
|
|
if allow_explicit_fk and name == f.attname:
|
|
# XXX: A hack to allow foo_id to work in values() for
|
|
# backwards compatibility purposes. If we dropped that
|
|
# feature, this could be removed.
|
|
field, model, direct, m2m = opts.get_field_by_name(f.name)
|
|
break
|
|
else:
|
|
names = opts.get_all_field_names() + self.aggregate_select.keys()
|
|
raise FieldError("Cannot resolve keyword %r into field. "
|
|
"Choices are: %s" % (name, ", ".join(names)))
|
|
|
|
if not allow_many and (m2m or not direct):
|
|
for alias in joins:
|
|
self.unref_alias(alias)
|
|
raise MultiJoin(pos + 1)
|
|
if model:
|
|
# The field lives on a base class of the current model.
|
|
# Skip the chain of proxy to the concrete proxied model
|
|
proxied_model = get_proxied_model(opts)
|
|
|
|
for int_model in opts.get_base_chain(model):
|
|
if int_model is proxied_model:
|
|
opts = int_model._meta
|
|
else:
|
|
lhs_col = opts.parents[int_model].column
|
|
dedupe = lhs_col in opts.duplicate_targets
|
|
if dedupe:
|
|
exclusions.update(self.dupe_avoidance.get(
|
|
(id(opts), lhs_col), ()))
|
|
dupe_set.add((opts, lhs_col))
|
|
opts = int_model._meta
|
|
alias = self.join((alias, opts.db_table, lhs_col,
|
|
opts.pk.column), exclusions=exclusions)
|
|
joins.append(alias)
|
|
exclusions.add(alias)
|
|
for (dupe_opts, dupe_col) in dupe_set:
|
|
self.update_dupe_avoidance(dupe_opts, dupe_col,
|
|
alias)
|
|
cached_data = opts._join_cache.get(name)
|
|
orig_opts = opts
|
|
dupe_col = direct and field.column or field.field.column
|
|
dedupe = dupe_col in opts.duplicate_targets
|
|
if dupe_set or dedupe:
|
|
if dedupe:
|
|
dupe_set.add((opts, dupe_col))
|
|
exclusions.update(self.dupe_avoidance.get((id(opts), dupe_col),
|
|
()))
|
|
|
|
if process_extras and hasattr(field, 'extra_filters'):
|
|
extra_filters.extend(field.extra_filters(names, pos, negate))
|
|
if direct:
|
|
if m2m:
|
|
# Many-to-many field defined on the current model.
|
|
if cached_data:
|
|
(table1, from_col1, to_col1, table2, from_col2,
|
|
to_col2, opts, target) = cached_data
|
|
else:
|
|
table1 = field.m2m_db_table()
|
|
from_col1 = opts.get_field_by_name(
|
|
field.m2m_target_field_name())[0].column
|
|
to_col1 = field.m2m_column_name()
|
|
opts = field.rel.to._meta
|
|
table2 = opts.db_table
|
|
from_col2 = field.m2m_reverse_name()
|
|
to_col2 = opts.get_field_by_name(
|
|
field.m2m_reverse_target_field_name())[0].column
|
|
target = opts.pk
|
|
orig_opts._join_cache[name] = (table1, from_col1,
|
|
to_col1, table2, from_col2, to_col2, opts,
|
|
target)
|
|
|
|
int_alias = self.join((alias, table1, from_col1, to_col1),
|
|
dupe_multis, exclusions, nullable=True,
|
|
reuse=can_reuse)
|
|
if int_alias == table2 and from_col2 == to_col2:
|
|
joins.append(int_alias)
|
|
alias = int_alias
|
|
else:
|
|
alias = self.join(
|
|
(int_alias, table2, from_col2, to_col2),
|
|
dupe_multis, exclusions, nullable=True,
|
|
reuse=can_reuse)
|
|
joins.extend([int_alias, alias])
|
|
elif field.rel:
|
|
# One-to-one or many-to-one field
|
|
if cached_data:
|
|
(table, from_col, to_col, opts, target) = cached_data
|
|
else:
|
|
opts = field.rel.to._meta
|
|
target = field.rel.get_related_field()
|
|
table = opts.db_table
|
|
from_col = field.column
|
|
to_col = target.column
|
|
orig_opts._join_cache[name] = (table, from_col, to_col,
|
|
opts, target)
|
|
|
|
alias = self.join((alias, table, from_col, to_col),
|
|
exclusions=exclusions, nullable=field.null)
|
|
joins.append(alias)
|
|
else:
|
|
# Non-relation fields.
|
|
target = field
|
|
break
|
|
else:
|
|
orig_field = field
|
|
field = field.field
|
|
if m2m:
|
|
# Many-to-many field defined on the target model.
|
|
if cached_data:
|
|
(table1, from_col1, to_col1, table2, from_col2,
|
|
to_col2, opts, target) = cached_data
|
|
else:
|
|
table1 = field.m2m_db_table()
|
|
from_col1 = opts.get_field_by_name(
|
|
field.m2m_reverse_target_field_name())[0].column
|
|
to_col1 = field.m2m_reverse_name()
|
|
opts = orig_field.opts
|
|
table2 = opts.db_table
|
|
from_col2 = field.m2m_column_name()
|
|
to_col2 = opts.get_field_by_name(
|
|
field.m2m_target_field_name())[0].column
|
|
target = opts.pk
|
|
orig_opts._join_cache[name] = (table1, from_col1,
|
|
to_col1, table2, from_col2, to_col2, opts,
|
|
target)
|
|
|
|
int_alias = self.join((alias, table1, from_col1, to_col1),
|
|
dupe_multis, exclusions, nullable=True,
|
|
reuse=can_reuse)
|
|
alias = self.join((int_alias, table2, from_col2, to_col2),
|
|
dupe_multis, exclusions, nullable=True,
|
|
reuse=can_reuse)
|
|
joins.extend([int_alias, alias])
|
|
else:
|
|
# One-to-many field (ForeignKey defined on the target model)
|
|
if cached_data:
|
|
(table, from_col, to_col, opts, target) = cached_data
|
|
else:
|
|
local_field = opts.get_field_by_name(
|
|
field.rel.field_name)[0]
|
|
opts = orig_field.opts
|
|
table = opts.db_table
|
|
from_col = local_field.column
|
|
to_col = field.column
|
|
# In case of a recursive FK, use the to_field for
|
|
# reverse lookups as well
|
|
if orig_field.model is local_field.model:
|
|
target = opts.get_field_by_name(
|
|
field.rel.field_name)[0]
|
|
else:
|
|
target = opts.pk
|
|
orig_opts._join_cache[name] = (table, from_col, to_col,
|
|
opts, target)
|
|
|
|
alias = self.join((alias, table, from_col, to_col),
|
|
dupe_multis, exclusions, nullable=True,
|
|
reuse=can_reuse)
|
|
joins.append(alias)
|
|
|
|
for (dupe_opts, dupe_col) in dupe_set:
|
|
if int_alias is None:
|
|
to_avoid = alias
|
|
else:
|
|
to_avoid = int_alias
|
|
self.update_dupe_avoidance(dupe_opts, dupe_col, to_avoid)
|
|
|
|
if pos != len(names) - 1:
|
|
if pos == len(names) - 2:
|
|
raise FieldError("Join on field %r not permitted. Did you misspell %r for the lookup type?" % (name, names[pos + 1]))
|
|
else:
|
|
raise FieldError("Join on field %r not permitted." % name)
|
|
|
|
return field, target, opts, joins, last, extra_filters
|
|
|
|
def trim_joins(self, target, join_list, last, trim, nonnull_check=False):
|
|
"""
|
|
Sometimes joins at the end of a multi-table sequence can be trimmed. If
|
|
the final join is against the same column as we are comparing against,
|
|
and is an inner join, we can go back one step in a join chain and
|
|
compare against the LHS of the join instead (and then repeat the
|
|
optimization). The result, potentially, involves fewer table joins.
|
|
|
|
The 'target' parameter is the final field being joined to, 'join_list'
|
|
is the full list of join aliases.
|
|
|
|
The 'last' list contains offsets into 'join_list', corresponding to
|
|
each component of the filter. Many-to-many relations, for example, add
|
|
two tables to the join list and we want to deal with both tables the
|
|
same way, so 'last' has an entry for the first of the two tables and
|
|
then the table immediately after the second table, in that case.
|
|
|
|
The 'trim' parameter forces the final piece of the join list to be
|
|
trimmed before anything. See the documentation of add_filter() for
|
|
details about this.
|
|
|
|
The 'nonnull_check' parameter is True when we are using inner joins
|
|
between tables explicitly to exclude NULL entries. In that case, the
|
|
tables shouldn't be trimmed, because the very action of joining to them
|
|
alters the result set.
|
|
|
|
Returns the final active column and table alias and the new active
|
|
join_list.
|
|
"""
|
|
final = len(join_list)
|
|
penultimate = last.pop()
|
|
if penultimate == final:
|
|
penultimate = last.pop()
|
|
if trim and final > 1:
|
|
extra = join_list[penultimate:]
|
|
join_list = join_list[:penultimate]
|
|
final = penultimate
|
|
penultimate = last.pop()
|
|
col = self.alias_map[extra[0]][LHS_JOIN_COL]
|
|
for alias in extra:
|
|
self.unref_alias(alias)
|
|
else:
|
|
col = target.column
|
|
alias = join_list[-1]
|
|
while final > 1:
|
|
join = self.alias_map[alias]
|
|
if (col != join[RHS_JOIN_COL] or join[JOIN_TYPE] != self.INNER or
|
|
nonnull_check):
|
|
break
|
|
self.unref_alias(alias)
|
|
alias = join[LHS_ALIAS]
|
|
col = join[LHS_JOIN_COL]
|
|
join_list.pop()
|
|
final -= 1
|
|
if final == penultimate:
|
|
penultimate = last.pop()
|
|
return col, alias, join_list
|
|
|
|
def update_dupe_avoidance(self, opts, col, alias):
|
|
"""
|
|
For a column that is one of multiple pointing to the same table, update
|
|
the internal data structures to note that this alias shouldn't be used
|
|
for those other columns.
|
|
"""
|
|
ident = id(opts)
|
|
for name in opts.duplicate_targets[col]:
|
|
try:
|
|
self.dupe_avoidance[ident, name].add(alias)
|
|
except KeyError:
|
|
self.dupe_avoidance[ident, name] = set([alias])
|
|
|
|
def split_exclude(self, filter_expr, prefix, can_reuse):
|
|
"""
|
|
When doing an exclude against any kind of N-to-many relation, we need
|
|
to use a subquery. This method constructs the nested query, given the
|
|
original exclude filter (filter_expr) and the portion up to the first
|
|
N-to-many relation field.
|
|
"""
|
|
query = Query(self.model)
|
|
query.add_filter(filter_expr, can_reuse=can_reuse)
|
|
query.bump_prefix()
|
|
query.clear_ordering(True)
|
|
query.set_start(prefix)
|
|
# Adding extra check to make sure the selected field will not be null
|
|
# since we are adding a IN <subquery> clause. This prevents the
|
|
# database from tripping over IN (...,NULL,...) selects and returning
|
|
# nothing
|
|
alias, col = query.select[0]
|
|
query.where.add((Constraint(alias, col, None), 'isnull', False), AND)
|
|
|
|
self.add_filter(('%s__in' % prefix, query), negate=True, trim=True,
|
|
can_reuse=can_reuse)
|
|
|
|
# If there's more than one join in the inner query (before any initial
|
|
# bits were trimmed -- which means the last active table is more than
|
|
# two places into the alias list), we need to also handle the
|
|
# possibility that the earlier joins don't match anything by adding a
|
|
# comparison to NULL (e.g. in
|
|
# Tag.objects.exclude(parent__parent__name='t1'), a tag with no parent
|
|
# would otherwise be overlooked).
|
|
active_positions = [pos for (pos, count) in
|
|
enumerate(query.alias_refcount.itervalues()) if count]
|
|
if active_positions[-1] > 1:
|
|
self.add_filter(('%s__isnull' % prefix, False), negate=True,
|
|
trim=True, can_reuse=can_reuse)
|
|
|
|
def set_limits(self, low=None, high=None):
|
|
"""
|
|
Adjusts the limits on the rows retrieved. We use low/high to set these,
|
|
as it makes it more Pythonic to read and write. When the SQL query is
|
|
created, they are converted to the appropriate offset and limit values.
|
|
|
|
Any limits passed in here are applied relative to the existing
|
|
constraints. So low is added to the current low value and both will be
|
|
clamped to any existing high value.
|
|
"""
|
|
if high is not None:
|
|
if self.high_mark is not None:
|
|
self.high_mark = min(self.high_mark, self.low_mark + high)
|
|
else:
|
|
self.high_mark = self.low_mark + high
|
|
if low is not None:
|
|
if self.high_mark is not None:
|
|
self.low_mark = min(self.high_mark, self.low_mark + low)
|
|
else:
|
|
self.low_mark = self.low_mark + low
|
|
|
|
def clear_limits(self):
|
|
"""
|
|
Clears any existing limits.
|
|
"""
|
|
self.low_mark, self.high_mark = 0, None
|
|
|
|
def can_filter(self):
|
|
"""
|
|
Returns True if adding filters to this instance is still possible.
|
|
|
|
Typically, this means no limits or offsets have been put on the results.
|
|
"""
|
|
return not self.low_mark and self.high_mark is None
|
|
|
|
def clear_select_fields(self):
|
|
"""
|
|
Clears the list of fields to select (but not extra_select columns).
|
|
Some queryset types completely replace any existing list of select
|
|
columns.
|
|
"""
|
|
self.select = []
|
|
self.select_fields = []
|
|
|
|
def add_distinct_fields(self, *field_names):
|
|
"""
|
|
Adds and resolves the given fields to the query's "distinct on" clause.
|
|
"""
|
|
self.distinct_fields = field_names
|
|
self.distinct = True
|
|
|
|
def add_fields(self, field_names, allow_m2m=True):
|
|
"""
|
|
Adds the given (model) fields to the select set. The field names are
|
|
added in the order specified.
|
|
"""
|
|
alias = self.get_initial_alias()
|
|
opts = self.get_meta()
|
|
|
|
try:
|
|
for name in field_names:
|
|
field, target, u2, joins, u3, u4 = self.setup_joins(
|
|
name.split(LOOKUP_SEP), opts, alias, False, allow_m2m,
|
|
True)
|
|
final_alias = joins[-1]
|
|
col = target.column
|
|
if len(joins) > 1:
|
|
join = self.alias_map[final_alias]
|
|
if col == join[RHS_JOIN_COL]:
|
|
self.unref_alias(final_alias)
|
|
final_alias = join[LHS_ALIAS]
|
|
col = join[LHS_JOIN_COL]
|
|
joins = joins[:-1]
|
|
self.promote_alias_chain(joins[1:])
|
|
self.select.append((final_alias, col))
|
|
self.select_fields.append(field)
|
|
except MultiJoin:
|
|
raise FieldError("Invalid field name: '%s'" % name)
|
|
except FieldError:
|
|
names = opts.get_all_field_names() + self.extra.keys() + self.aggregate_select.keys()
|
|
names.sort()
|
|
raise FieldError("Cannot resolve keyword %r into field. "
|
|
"Choices are: %s" % (name, ", ".join(names)))
|
|
self.remove_inherited_models()
|
|
|
|
def add_ordering(self, *ordering):
|
|
"""
|
|
Adds items from the 'ordering' sequence to the query's "order by"
|
|
clause. These items are either field names (not column names) --
|
|
possibly with a direction prefix ('-' or '?') -- or ordinals,
|
|
corresponding to column positions in the 'select' list.
|
|
|
|
If 'ordering' is empty, all ordering is cleared from the query.
|
|
"""
|
|
errors = []
|
|
for item in ordering:
|
|
if not ORDER_PATTERN.match(item):
|
|
errors.append(item)
|
|
if errors:
|
|
raise FieldError('Invalid order_by arguments: %s' % errors)
|
|
if ordering:
|
|
self.order_by.extend(ordering)
|
|
else:
|
|
self.default_ordering = False
|
|
|
|
def clear_ordering(self, force_empty=False):
|
|
"""
|
|
Removes any ordering settings. If 'force_empty' is True, there will be
|
|
no ordering in the resulting query (not even the model's default).
|
|
"""
|
|
self.order_by = []
|
|
self.extra_order_by = ()
|
|
if force_empty:
|
|
self.default_ordering = False
|
|
|
|
def set_group_by(self):
|
|
"""
|
|
Expands the GROUP BY clause required by the query.
|
|
|
|
This will usually be the set of all non-aggregate fields in the
|
|
return data. If the database backend supports grouping by the
|
|
primary key, and the query would be equivalent, the optimization
|
|
will be made automatically.
|
|
"""
|
|
self.group_by = []
|
|
|
|
for sel in self.select:
|
|
self.group_by.append(sel)
|
|
|
|
def add_count_column(self):
|
|
"""
|
|
Converts the query to do count(...) or count(distinct(pk)) in order to
|
|
get its size.
|
|
"""
|
|
if not self.distinct:
|
|
if not self.select:
|
|
count = self.aggregates_module.Count('*', is_summary=True)
|
|
else:
|
|
assert len(self.select) == 1, \
|
|
"Cannot add count col with multiple cols in 'select': %r" % self.select
|
|
count = self.aggregates_module.Count(self.select[0])
|
|
else:
|
|
opts = self.model._meta
|
|
if not self.select:
|
|
count = self.aggregates_module.Count((self.join((None, opts.db_table, None, None)), opts.pk.column),
|
|
is_summary=True, distinct=True)
|
|
else:
|
|
# Because of SQL portability issues, multi-column, distinct
|
|
# counts need a sub-query -- see get_count() for details.
|
|
assert len(self.select) == 1, \
|
|
"Cannot add count col with multiple cols in 'select'."
|
|
|
|
count = self.aggregates_module.Count(self.select[0], distinct=True)
|
|
# Distinct handling is done in Count(), so don't do it at this
|
|
# level.
|
|
self.distinct = False
|
|
|
|
# Set only aggregate to be the count column.
|
|
# Clear out the select cache to reflect the new unmasked aggregates.
|
|
self.aggregates = {None: count}
|
|
self.set_aggregate_mask(None)
|
|
self.group_by = None
|
|
|
|
def add_select_related(self, fields):
|
|
"""
|
|
Sets up the select_related data structure so that we only select
|
|
certain related models (as opposed to all models, when
|
|
self.select_related=True).
|
|
"""
|
|
field_dict = {}
|
|
for field in fields:
|
|
d = field_dict
|
|
for part in field.split(LOOKUP_SEP):
|
|
d = d.setdefault(part, {})
|
|
self.select_related = field_dict
|
|
self.related_select_cols = []
|
|
self.related_select_fields = []
|
|
|
|
def add_extra(self, select, select_params, where, params, tables, order_by):
|
|
"""
|
|
Adds data to the various extra_* attributes for user-created additions
|
|
to the query.
|
|
"""
|
|
if select:
|
|
# We need to pair any placeholder markers in the 'select'
|
|
# dictionary with their parameters in 'select_params' so that
|
|
# subsequent updates to the select dictionary also adjust the
|
|
# parameters appropriately.
|
|
select_pairs = SortedDict()
|
|
if select_params:
|
|
param_iter = iter(select_params)
|
|
else:
|
|
param_iter = iter([])
|
|
for name, entry in select.items():
|
|
entry = force_unicode(entry)
|
|
entry_params = []
|
|
pos = entry.find("%s")
|
|
while pos != -1:
|
|
entry_params.append(param_iter.next())
|
|
pos = entry.find("%s", pos + 2)
|
|
select_pairs[name] = (entry, entry_params)
|
|
# This is order preserving, since self.extra_select is a SortedDict.
|
|
self.extra.update(select_pairs)
|
|
if where or params:
|
|
self.where.add(ExtraWhere(where, params), AND)
|
|
if tables:
|
|
self.extra_tables += tuple(tables)
|
|
if order_by:
|
|
self.extra_order_by = order_by
|
|
|
|
def clear_deferred_loading(self):
|
|
"""
|
|
Remove any fields from the deferred loading set.
|
|
"""
|
|
self.deferred_loading = (set(), True)
|
|
|
|
def add_deferred_loading(self, field_names):
|
|
"""
|
|
Add the given list of model field names to the set of fields to
|
|
exclude from loading from the database when automatic column selection
|
|
is done. The new field names are added to any existing field names that
|
|
are deferred (or removed from any existing field names that are marked
|
|
as the only ones for immediate loading).
|
|
"""
|
|
# Fields on related models are stored in the literal double-underscore
|
|
# format, so that we can use a set datastructure. We do the foo__bar
|
|
# splitting and handling when computing the SQL colum names (as part of
|
|
# get_columns()).
|
|
existing, defer = self.deferred_loading
|
|
if defer:
|
|
# Add to existing deferred names.
|
|
self.deferred_loading = existing.union(field_names), True
|
|
else:
|
|
# Remove names from the set of any existing "immediate load" names.
|
|
self.deferred_loading = existing.difference(field_names), False
|
|
|
|
def add_immediate_loading(self, field_names):
|
|
"""
|
|
Add the given list of model field names to the set of fields to
|
|
retrieve when the SQL is executed ("immediate loading" fields). The
|
|
field names replace any existing immediate loading field names. If
|
|
there are field names already specified for deferred loading, those
|
|
names are removed from the new field_names before storing the new names
|
|
for immediate loading. (That is, immediate loading overrides any
|
|
existing immediate values, but respects existing deferrals.)
|
|
"""
|
|
existing, defer = self.deferred_loading
|
|
field_names = set(field_names)
|
|
if 'pk' in field_names:
|
|
field_names.remove('pk')
|
|
field_names.add(self.model._meta.pk.name)
|
|
|
|
if defer:
|
|
# Remove any existing deferred names from the current set before
|
|
# setting the new names.
|
|
self.deferred_loading = field_names.difference(existing), False
|
|
else:
|
|
# Replace any existing "immediate load" field names.
|
|
self.deferred_loading = field_names, False
|
|
|
|
def get_loaded_field_names(self):
|
|
"""
|
|
If any fields are marked to be deferred, returns a dictionary mapping
|
|
models to a set of names in those fields that will be loaded. If a
|
|
model is not in the returned dictionary, none of it's fields are
|
|
deferred.
|
|
|
|
If no fields are marked for deferral, returns an empty dictionary.
|
|
"""
|
|
collection = {}
|
|
self.deferred_to_data(collection, self.get_loaded_field_names_cb)
|
|
return collection
|
|
|
|
def get_loaded_field_names_cb(self, target, model, fields):
|
|
"""
|
|
Callback used by get_deferred_field_names().
|
|
"""
|
|
target[model] = set([f.name for f in fields])
|
|
|
|
def set_aggregate_mask(self, names):
|
|
"Set the mask of aggregates that will actually be returned by the SELECT"
|
|
if names is None:
|
|
self.aggregate_select_mask = None
|
|
else:
|
|
self.aggregate_select_mask = set(names)
|
|
self._aggregate_select_cache = None
|
|
|
|
def set_extra_mask(self, names):
|
|
"""
|
|
Set the mask of extra select items that will be returned by SELECT,
|
|
we don't actually remove them from the Query since they might be used
|
|
later
|
|
"""
|
|
if names is None:
|
|
self.extra_select_mask = None
|
|
else:
|
|
self.extra_select_mask = set(names)
|
|
self._extra_select_cache = None
|
|
|
|
def _aggregate_select(self):
|
|
"""The SortedDict of aggregate columns that are not masked, and should
|
|
be used in the SELECT clause.
|
|
|
|
This result is cached for optimization purposes.
|
|
"""
|
|
if self._aggregate_select_cache is not None:
|
|
return self._aggregate_select_cache
|
|
elif self.aggregate_select_mask is not None:
|
|
self._aggregate_select_cache = SortedDict([
|
|
(k,v) for k,v in self.aggregates.items()
|
|
if k in self.aggregate_select_mask
|
|
])
|
|
return self._aggregate_select_cache
|
|
else:
|
|
return self.aggregates
|
|
aggregate_select = property(_aggregate_select)
|
|
|
|
def _extra_select(self):
|
|
if self._extra_select_cache is not None:
|
|
return self._extra_select_cache
|
|
elif self.extra_select_mask is not None:
|
|
self._extra_select_cache = SortedDict([
|
|
(k,v) for k,v in self.extra.items()
|
|
if k in self.extra_select_mask
|
|
])
|
|
return self._extra_select_cache
|
|
else:
|
|
return self.extra
|
|
extra_select = property(_extra_select)
|
|
|
|
def set_start(self, start):
|
|
"""
|
|
Sets the table from which to start joining. The start position is
|
|
specified by the related attribute from the base model. This will
|
|
automatically set to the select column to be the column linked from the
|
|
previous table.
|
|
|
|
This method is primarily for internal use and the error checking isn't
|
|
as friendly as add_filter(). Mostly useful for querying directly
|
|
against the join table of many-to-many relation in a subquery.
|
|
"""
|
|
opts = self.model._meta
|
|
alias = self.get_initial_alias()
|
|
field, col, opts, joins, last, extra = self.setup_joins(
|
|
start.split(LOOKUP_SEP), opts, alias, False)
|
|
select_col = self.alias_map[joins[1]][LHS_JOIN_COL]
|
|
select_alias = alias
|
|
|
|
# The call to setup_joins added an extra reference to everything in
|
|
# joins. Reverse that.
|
|
for alias in joins:
|
|
self.unref_alias(alias)
|
|
|
|
# We might be able to trim some joins from the front of this query,
|
|
# providing that we only traverse "always equal" connections (i.e. rhs
|
|
# is *always* the same value as lhs).
|
|
for alias in joins[1:]:
|
|
join_info = self.alias_map[alias]
|
|
if (join_info[LHS_JOIN_COL] != select_col
|
|
or join_info[JOIN_TYPE] != self.INNER):
|
|
break
|
|
self.unref_alias(select_alias)
|
|
select_alias = join_info[RHS_ALIAS]
|
|
select_col = join_info[RHS_JOIN_COL]
|
|
self.select = [(select_alias, select_col)]
|
|
self.remove_inherited_models()
|
|
|
|
|
|
def get_order_dir(field, default='ASC'):
|
|
"""
|
|
Returns the field name and direction for an order specification. For
|
|
example, '-foo' is returned as ('foo', 'DESC').
|
|
|
|
The 'default' param is used to indicate which way no prefix (or a '+'
|
|
prefix) should sort. The '-' prefix always sorts the opposite way.
|
|
"""
|
|
dirn = ORDER_DIR[default]
|
|
if field[0] == '-':
|
|
return field[1:], dirn[1]
|
|
return field, dirn[0]
|
|
|
|
|
|
def setup_join_cache(sender, **kwargs):
|
|
"""
|
|
The information needed to join between model fields is something that is
|
|
invariant over the life of the model, so we cache it in the model's Options
|
|
class, rather than recomputing it all the time.
|
|
|
|
This method initialises the (empty) cache when the model is created.
|
|
"""
|
|
sender._meta._join_cache = {}
|
|
|
|
signals.class_prepared.connect(setup_join_cache)
|
|
|
|
def add_to_dict(data, key, value):
|
|
"""
|
|
A helper function to add "value" to the set of values for "key", whether or
|
|
not "key" already exists.
|
|
"""
|
|
if key in data:
|
|
data[key].add(value)
|
|
else:
|
|
data[key] = set([value])
|
|
|
|
def get_proxied_model(opts):
|
|
int_opts = opts
|
|
proxied_model = None
|
|
while int_opts.proxy:
|
|
proxied_model = int_opts.proxy_for_model
|
|
int_opts = proxied_model._meta
|
|
return proxied_model
|