1282 lines
56 KiB
Python
1282 lines
56 KiB
Python
import re
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from itertools import chain
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from django.core.exceptions import EmptyResultSet, FieldError
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from django.db.models.constants import LOOKUP_SEP
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from django.db.models.expressions import OrderBy, Random, RawSQL, Ref
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from django.db.models.query_utils import QueryWrapper, select_related_descend
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from django.db.models.sql.constants import (
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CURSOR, GET_ITERATOR_CHUNK_SIZE, MULTI, NO_RESULTS, ORDER_DIR, SINGLE,
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)
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from django.db.models.sql.query import Query, get_order_dir
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from django.db.transaction import TransactionManagementError
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from django.db.utils import DatabaseError, NotSupportedError
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FORCE = object()
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class SQLCompiler:
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def __init__(self, query, connection, using):
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self.query = query
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self.connection = connection
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self.using = using
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self.quote_cache = {'*': '*'}
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# The select, klass_info, and annotations are needed by QuerySet.iterator()
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# these are set as a side-effect of executing the query. Note that we calculate
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# separately a list of extra select columns needed for grammatical correctness
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# of the query, but these columns are not included in self.select.
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self.select = None
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self.annotation_col_map = None
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self.klass_info = None
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self.ordering_parts = re.compile(r'(.*)\s(ASC|DESC)(.*)')
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def setup_query(self):
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if all(self.query.alias_refcount[a] == 0 for a in self.query.tables):
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self.query.get_initial_alias()
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self.select, self.klass_info, self.annotation_col_map = self.get_select()
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self.col_count = len(self.select)
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def pre_sql_setup(self):
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"""
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Do any necessary class setup immediately prior to producing SQL. This
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is for things that can't necessarily be done in __init__ because we
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might not have all the pieces in place at that time.
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"""
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self.setup_query()
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order_by = self.get_order_by()
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self.where, self.having = self.query.where.split_having()
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extra_select = self.get_extra_select(order_by, self.select)
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group_by = self.get_group_by(self.select + extra_select, order_by)
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return extra_select, order_by, group_by
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def get_group_by(self, select, order_by):
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"""
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Return a list of 2-tuples of form (sql, params).
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The logic of what exactly the GROUP BY clause contains is hard
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to describe in other words than "if it passes the test suite,
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then it is correct".
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"""
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# Some examples:
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# SomeModel.objects.annotate(Count('somecol'))
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# GROUP BY: all fields of the model
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#
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# SomeModel.objects.values('name').annotate(Count('somecol'))
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# GROUP BY: name
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#
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# SomeModel.objects.annotate(Count('somecol')).values('name')
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# GROUP BY: all cols of the model
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#
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# SomeModel.objects.values('name', 'pk').annotate(Count('somecol')).values('pk')
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# GROUP BY: name, pk
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#
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# SomeModel.objects.values('name').annotate(Count('somecol')).values('pk')
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# GROUP BY: name, pk
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#
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# In fact, the self.query.group_by is the minimal set to GROUP BY. It
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# can't be ever restricted to a smaller set, but additional columns in
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# HAVING, ORDER BY, and SELECT clauses are added to it. Unfortunately
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# the end result is that it is impossible to force the query to have
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# a chosen GROUP BY clause - you can almost do this by using the form:
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# .values(*wanted_cols).annotate(AnAggregate())
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# but any later annotations, extra selects, values calls that
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# refer some column outside of the wanted_cols, order_by, or even
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# filter calls can alter the GROUP BY clause.
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# The query.group_by is either None (no GROUP BY at all), True
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# (group by select fields), or a list of expressions to be added
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# to the group by.
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if self.query.group_by is None:
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return []
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expressions = []
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if self.query.group_by is not True:
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# If the group by is set to a list (by .values() call most likely),
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# then we need to add everything in it to the GROUP BY clause.
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# Backwards compatibility hack for setting query.group_by. Remove
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# when we have public API way of forcing the GROUP BY clause.
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# Converts string references to expressions.
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for expr in self.query.group_by:
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if not hasattr(expr, 'as_sql'):
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expressions.append(self.query.resolve_ref(expr))
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else:
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expressions.append(expr)
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# Note that even if the group_by is set, it is only the minimal
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# set to group by. So, we need to add cols in select, order_by, and
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# having into the select in any case.
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for expr, _, _ in select:
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cols = expr.get_group_by_cols()
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for col in cols:
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expressions.append(col)
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for expr, (sql, params, is_ref) in order_by:
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if expr.contains_aggregate:
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continue
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# We can skip References to select clause, as all expressions in
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# the select clause are already part of the group by.
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if is_ref:
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continue
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expressions.extend(expr.get_source_expressions())
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having_group_by = self.having.get_group_by_cols() if self.having else ()
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for expr in having_group_by:
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expressions.append(expr)
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result = []
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seen = set()
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expressions = self.collapse_group_by(expressions, having_group_by)
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for expr in expressions:
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sql, params = self.compile(expr)
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if (sql, tuple(params)) not in seen:
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result.append((sql, params))
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seen.add((sql, tuple(params)))
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return result
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def collapse_group_by(self, expressions, having):
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# If the DB can group by primary key, then group by the primary key of
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# query's main model. Note that for PostgreSQL the GROUP BY clause must
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# include the primary key of every table, but for MySQL it is enough to
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# have the main table's primary key.
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if self.connection.features.allows_group_by_pk:
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# Determine if the main model's primary key is in the query.
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pk = None
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for expr in expressions:
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# Is this a reference to query's base table primary key? If the
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# expression isn't a Col-like, then skip the expression.
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if (getattr(expr, 'target', None) == self.query.model._meta.pk and
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getattr(expr, 'alias', None) == self.query.tables[0]):
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pk = expr
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break
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# If the main model's primary key is in the query, group by that
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# field, HAVING expressions, and expressions associated with tables
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# that don't have a primary key included in the grouped columns.
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if pk:
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pk_aliases = {
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expr.alias for expr in expressions
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if hasattr(expr, 'target') and expr.target.primary_key
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}
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expressions = [pk] + [
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expr for expr in expressions
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if expr in having or getattr(expr, 'alias', None) not in pk_aliases
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]
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elif self.connection.features.allows_group_by_selected_pks:
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# Filter out all expressions associated with a table's primary key
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# present in the grouped columns. This is done by identifying all
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# tables that have their primary key included in the grouped
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# columns and removing non-primary key columns referring to them.
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pks = {expr for expr in expressions if hasattr(expr, 'target') and expr.target.primary_key}
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aliases = {expr.alias for expr in pks}
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expressions = [
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expr for expr in expressions if expr in pks or getattr(expr, 'alias', None) not in aliases
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]
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return expressions
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def get_select(self):
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"""
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Return three values:
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- a list of 3-tuples of (expression, (sql, params), alias)
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- a klass_info structure,
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- a dictionary of annotations
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The (sql, params) is what the expression will produce, and alias is the
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"AS alias" for the column (possibly None).
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The klass_info structure contains the following information:
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- Which model to instantiate
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- Which columns for that model are present in the query (by
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position of the select clause).
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- related_klass_infos: [f, klass_info] to descent into
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The annotations is a dictionary of {'attname': column position} values.
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"""
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select = []
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klass_info = None
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annotations = {}
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select_idx = 0
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for alias, (sql, params) in self.query.extra_select.items():
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annotations[alias] = select_idx
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select.append((RawSQL(sql, params), alias))
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select_idx += 1
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assert not (self.query.select and self.query.default_cols)
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if self.query.default_cols:
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select_list = []
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for c in self.get_default_columns():
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select_list.append(select_idx)
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select.append((c, None))
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select_idx += 1
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klass_info = {
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'model': self.query.model,
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'select_fields': select_list,
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}
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# self.query.select is a special case. These columns never go to
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# any model.
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for col in self.query.select:
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select.append((col, None))
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select_idx += 1
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for alias, annotation in self.query.annotation_select.items():
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annotations[alias] = select_idx
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select.append((annotation, alias))
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select_idx += 1
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if self.query.select_related:
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related_klass_infos = self.get_related_selections(select)
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klass_info['related_klass_infos'] = related_klass_infos
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def get_select_from_parent(klass_info):
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for ki in klass_info['related_klass_infos']:
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if ki['from_parent']:
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ki['select_fields'] = (klass_info['select_fields'] +
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ki['select_fields'])
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get_select_from_parent(ki)
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get_select_from_parent(klass_info)
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ret = []
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for col, alias in select:
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try:
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sql, params = self.compile(col, select_format=True)
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except EmptyResultSet:
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# Select a predicate that's always False.
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sql, params = '0', ()
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ret.append((col, (sql, params), alias))
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return ret, klass_info, annotations
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def get_order_by(self):
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"""
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Return a list of 2-tuples of form (expr, (sql, params, is_ref)) for the
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ORDER BY clause.
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The order_by clause can alter the select clause (for example it
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can add aliases to clauses that do not yet have one, or it can
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add totally new select clauses).
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"""
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if self.query.extra_order_by:
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ordering = self.query.extra_order_by
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elif not self.query.default_ordering:
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ordering = self.query.order_by
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else:
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ordering = (self.query.order_by or self.query.get_meta().ordering or [])
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if self.query.standard_ordering:
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asc, desc = ORDER_DIR['ASC']
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else:
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asc, desc = ORDER_DIR['DESC']
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order_by = []
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for field in ordering:
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if hasattr(field, 'resolve_expression'):
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if not isinstance(field, OrderBy):
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field = field.asc()
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if not self.query.standard_ordering:
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field.reverse_ordering()
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order_by.append((field, False))
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continue
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if field == '?': # random
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order_by.append((OrderBy(Random()), False))
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continue
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col, order = get_order_dir(field, asc)
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descending = True if order == 'DESC' else False
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if col in self.query.annotation_select:
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# Reference to expression in SELECT clause
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order_by.append((
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OrderBy(Ref(col, self.query.annotation_select[col]), descending=descending),
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True))
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continue
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if col in self.query.annotations:
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# References to an expression which is masked out of the SELECT clause
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order_by.append((
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OrderBy(self.query.annotations[col], descending=descending),
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False))
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continue
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if '.' in field:
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# This came in through an extra(order_by=...) addition. Pass it
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# on verbatim.
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table, col = col.split('.', 1)
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order_by.append((
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OrderBy(
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RawSQL('%s.%s' % (self.quote_name_unless_alias(table), col), []),
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descending=descending
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), False))
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continue
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if not self.query._extra or col not in self.query._extra:
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# 'col' is of the form 'field' or 'field1__field2' or
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# '-field1__field2__field', etc.
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order_by.extend(self.find_ordering_name(
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field, self.query.get_meta(), default_order=asc))
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else:
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if col not in self.query.extra_select:
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order_by.append((
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OrderBy(RawSQL(*self.query.extra[col]), descending=descending),
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False))
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else:
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order_by.append((
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OrderBy(Ref(col, RawSQL(*self.query.extra[col])), descending=descending),
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True))
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result = []
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seen = set()
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for expr, is_ref in order_by:
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if self.query.combinator:
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src = expr.get_source_expressions()[0]
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# Relabel order by columns to raw numbers if this is a combined
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# query; necessary since the columns can't be referenced by the
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# fully qualified name and the simple column names may collide.
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for idx, (sel_expr, _, col_alias) in enumerate(self.select):
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if is_ref and col_alias == src.refs:
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src = src.source
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elif col_alias:
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continue
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if src == sel_expr:
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expr.set_source_expressions([RawSQL('%d' % (idx + 1), ())])
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break
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else:
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raise DatabaseError('ORDER BY term does not match any column in the result set.')
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resolved = expr.resolve_expression(
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self.query, allow_joins=True, reuse=None)
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sql, params = self.compile(resolved)
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# Don't add the same column twice, but the order direction is
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# not taken into account so we strip it. When this entire method
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# is refactored into expressions, then we can check each part as we
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# generate it.
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without_ordering = self.ordering_parts.search(sql).group(1)
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if (without_ordering, tuple(params)) in seen:
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continue
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seen.add((without_ordering, tuple(params)))
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result.append((resolved, (sql, params, is_ref)))
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return result
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def get_extra_select(self, order_by, select):
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extra_select = []
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select_sql = [t[1] for t in select]
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if self.query.distinct and not self.query.distinct_fields:
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for expr, (sql, params, is_ref) in order_by:
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without_ordering = self.ordering_parts.search(sql).group(1)
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if not is_ref and (without_ordering, params) not in select_sql:
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extra_select.append((expr, (without_ordering, params), None))
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return extra_select
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def quote_name_unless_alias(self, name):
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"""
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A wrapper around connection.ops.quote_name that doesn't quote aliases
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for table names. This avoids problems with some SQL dialects that treat
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quoted strings specially (e.g. PostgreSQL).
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"""
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if name in self.quote_cache:
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return self.quote_cache[name]
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if ((name in self.query.alias_map and name not in self.query.table_map) or
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name in self.query.extra_select or (
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name in self.query.external_aliases and name not in self.query.table_map)):
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self.quote_cache[name] = name
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return name
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r = self.connection.ops.quote_name(name)
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self.quote_cache[name] = r
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return r
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def compile(self, node, select_format=False):
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vendor_impl = getattr(node, 'as_' + self.connection.vendor, None)
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if vendor_impl:
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sql, params = vendor_impl(self, self.connection)
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else:
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sql, params = node.as_sql(self, self.connection)
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if select_format is FORCE or (select_format and not self.query.subquery):
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return node.output_field.select_format(self, sql, params)
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return sql, params
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def get_combinator_sql(self, combinator, all):
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features = self.connection.features
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compilers = [
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query.get_compiler(self.using, self.connection)
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for query in self.query.combined_queries
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]
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if not features.supports_slicing_ordering_in_compound:
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for query, compiler in zip(self.query.combined_queries, compilers):
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if query.low_mark or query.high_mark:
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raise DatabaseError('LIMIT/OFFSET not allowed in subqueries of compound statements.')
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if compiler.get_order_by():
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raise DatabaseError('ORDER BY not allowed in subqueries of compound statements.')
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parts = (compiler.as_sql() for compiler in compilers)
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combinator_sql = self.connection.ops.set_operators[combinator]
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if all and combinator == 'union':
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combinator_sql += ' ALL'
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braces = '({})' if features.supports_slicing_ordering_in_compound else '{}'
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sql_parts, args_parts = zip(*((braces.format(sql), args) for sql, args in parts))
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result = [' {} '.format(combinator_sql).join(sql_parts)]
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params = []
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for part in args_parts:
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params.extend(part)
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return result, params
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def as_sql(self, with_limits=True, with_col_aliases=False):
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"""
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Create the SQL for this query. Return the SQL string and list of
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parameters.
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If 'with_limits' is False, any limit/offset information is not included
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in the query.
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"""
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refcounts_before = self.query.alias_refcount.copy()
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try:
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extra_select, order_by, group_by = self.pre_sql_setup()
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distinct_fields = self.get_distinct()
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# This must come after 'select', 'ordering', and 'distinct' -- see
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# docstring of get_from_clause() for details.
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from_, f_params = self.get_from_clause()
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for_update_part = None
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where, w_params = self.compile(self.where) if self.where is not None else ("", [])
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having, h_params = self.compile(self.having) if self.having is not None else ("", [])
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combinator = self.query.combinator
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features = self.connection.features
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if combinator:
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if not getattr(features, 'supports_select_{}'.format(combinator)):
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raise NotSupportedError('{} is not supported on this database backend.'.format(combinator))
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result, params = self.get_combinator_sql(combinator, self.query.combinator_all)
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else:
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result = ['SELECT']
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params = []
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if self.query.distinct:
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result.append(self.connection.ops.distinct_sql(distinct_fields))
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out_cols = []
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col_idx = 1
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for _, (s_sql, s_params), alias in self.select + extra_select:
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if alias:
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s_sql = '%s AS %s' % (s_sql, self.connection.ops.quote_name(alias))
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elif with_col_aliases:
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s_sql = '%s AS %s' % (s_sql, 'Col%d' % col_idx)
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col_idx += 1
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params.extend(s_params)
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out_cols.append(s_sql)
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result.append(', '.join(out_cols))
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result.append('FROM')
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result.extend(from_)
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params.extend(f_params)
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|
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if self.query.select_for_update and self.connection.features.has_select_for_update:
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if self.connection.get_autocommit():
|
|
raise TransactionManagementError('select_for_update cannot be used outside of a transaction.')
|
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|
|
if with_limits and not self.connection.features.supports_select_for_update_with_limit:
|
|
raise NotSupportedError(
|
|
'LIMIT/OFFSET is not supported with '
|
|
'select_for_update on this database backend.'
|
|
)
|
|
nowait = self.query.select_for_update_nowait
|
|
skip_locked = self.query.select_for_update_skip_locked
|
|
# If it's a NOWAIT/SKIP LOCKED query but the backend
|
|
# doesn't support it, raise a DatabaseError to prevent a
|
|
# possible deadlock.
|
|
if nowait and not self.connection.features.has_select_for_update_nowait:
|
|
raise NotSupportedError('NOWAIT is not supported on this database backend.')
|
|
elif skip_locked and not self.connection.features.has_select_for_update_skip_locked:
|
|
raise NotSupportedError('SKIP LOCKED is not supported on this database backend.')
|
|
for_update_part = self.connection.ops.for_update_sql(nowait=nowait, skip_locked=skip_locked)
|
|
|
|
if for_update_part and self.connection.features.for_update_after_from:
|
|
result.append(for_update_part)
|
|
|
|
if where:
|
|
result.append('WHERE %s' % where)
|
|
params.extend(w_params)
|
|
|
|
grouping = []
|
|
for g_sql, g_params in group_by:
|
|
grouping.append(g_sql)
|
|
params.extend(g_params)
|
|
if grouping:
|
|
if distinct_fields:
|
|
raise NotImplementedError('annotate() + distinct(fields) is not implemented.')
|
|
if not order_by:
|
|
order_by = self.connection.ops.force_no_ordering()
|
|
result.append('GROUP BY %s' % ', '.join(grouping))
|
|
|
|
if having:
|
|
result.append('HAVING %s' % having)
|
|
params.extend(h_params)
|
|
|
|
if order_by:
|
|
ordering = []
|
|
for _, (o_sql, o_params, _) in order_by:
|
|
ordering.append(o_sql)
|
|
params.extend(o_params)
|
|
result.append('ORDER BY %s' % ', '.join(ordering))
|
|
|
|
if with_limits:
|
|
if self.query.high_mark is not None:
|
|
result.append('LIMIT %d' % (self.query.high_mark - self.query.low_mark))
|
|
if self.query.low_mark:
|
|
if self.query.high_mark is None:
|
|
val = self.connection.ops.no_limit_value()
|
|
if val:
|
|
result.append('LIMIT %d' % val)
|
|
result.append('OFFSET %d' % self.query.low_mark)
|
|
|
|
if for_update_part and not self.connection.features.for_update_after_from:
|
|
result.append(for_update_part)
|
|
|
|
return ' '.join(result), tuple(params)
|
|
finally:
|
|
# Finally do cleanup - get rid of the joins we created above.
|
|
self.query.reset_refcounts(refcounts_before)
|
|
|
|
def get_default_columns(self, start_alias=None, opts=None, from_parent=None):
|
|
"""
|
|
Compute the default columns for selecting every field in the base
|
|
model. Will sometimes be called to pull in related models (e.g. via
|
|
select_related), in which case "opts" and "start_alias" will be given
|
|
to provide a starting point for the traversal.
|
|
|
|
Return a list of strings, quoted appropriately for use in SQL
|
|
directly, as well as a set of aliases used in the select statement (if
|
|
'as_pairs' is True, return a list of (alias, col_name) pairs instead
|
|
of strings as the first component and None as the second component).
|
|
"""
|
|
result = []
|
|
if opts is None:
|
|
opts = self.query.get_meta()
|
|
only_load = self.deferred_to_columns()
|
|
if not start_alias:
|
|
start_alias = self.query.get_initial_alias()
|
|
# The 'seen_models' is used to optimize checking the needed parent
|
|
# alias for a given field. This also includes None -> start_alias to
|
|
# be used by local fields.
|
|
seen_models = {None: start_alias}
|
|
|
|
for field in opts.concrete_fields:
|
|
model = field.model._meta.concrete_model
|
|
# A proxy model will have a different model and concrete_model. We
|
|
# will assign None if the field belongs to this model.
|
|
if model == opts.model:
|
|
model = None
|
|
if from_parent and model is not None and issubclass(
|
|
from_parent._meta.concrete_model, model._meta.concrete_model):
|
|
# Avoid loading data for already loaded parents.
|
|
# We end up here in the case select_related() resolution
|
|
# proceeds from parent model to child model. In that case the
|
|
# parent model data is already present in the SELECT clause,
|
|
# and we want to avoid reloading the same data again.
|
|
continue
|
|
if field.model in only_load and field.attname not in only_load[field.model]:
|
|
continue
|
|
alias = self.query.join_parent_model(opts, model, start_alias,
|
|
seen_models)
|
|
column = field.get_col(alias)
|
|
result.append(column)
|
|
return result
|
|
|
|
def get_distinct(self):
|
|
"""
|
|
Return a quoted list of fields to use in DISTINCT ON part of the query.
|
|
|
|
This method can alter the tables in the query, and thus it must be
|
|
called before get_from_clause().
|
|
"""
|
|
qn = self.quote_name_unless_alias
|
|
qn2 = self.connection.ops.quote_name
|
|
result = []
|
|
opts = self.query.get_meta()
|
|
|
|
for name in self.query.distinct_fields:
|
|
parts = name.split(LOOKUP_SEP)
|
|
_, targets, alias, joins, path, _ = self._setup_joins(parts, opts, None)
|
|
targets, alias, _ = self.query.trim_joins(targets, joins, path)
|
|
for target in targets:
|
|
if name in self.query.annotation_select:
|
|
result.append(name)
|
|
else:
|
|
result.append("%s.%s" % (qn(alias), qn2(target.column)))
|
|
return result
|
|
|
|
def find_ordering_name(self, name, opts, alias=None, default_order='ASC',
|
|
already_seen=None):
|
|
"""
|
|
Return the table alias (the name might be ambiguous, the alias will
|
|
not be) and column name for ordering by the given 'name' parameter.
|
|
The 'name' is of the form 'field1__field2__...__fieldN'.
|
|
"""
|
|
name, order = get_order_dir(name, default_order)
|
|
descending = True if order == 'DESC' else False
|
|
pieces = name.split(LOOKUP_SEP)
|
|
field, targets, alias, joins, path, opts = self._setup_joins(pieces, opts, alias)
|
|
|
|
# If we get to this point and the field is a relation to another model,
|
|
# append the default ordering for that model unless the attribute name
|
|
# of the field is specified.
|
|
if field.is_relation and opts.ordering and getattr(field, 'attname', None) != name:
|
|
# Firstly, avoid infinite loops.
|
|
if not already_seen:
|
|
already_seen = set()
|
|
join_tuple = tuple(getattr(self.query.alias_map[j], 'join_cols', None) for j in joins)
|
|
if join_tuple in already_seen:
|
|
raise FieldError('Infinite loop caused by ordering.')
|
|
already_seen.add(join_tuple)
|
|
|
|
results = []
|
|
for item in opts.ordering:
|
|
results.extend(self.find_ordering_name(item, opts, alias,
|
|
order, already_seen))
|
|
return results
|
|
targets, alias, _ = self.query.trim_joins(targets, joins, path)
|
|
return [(OrderBy(t.get_col(alias), descending=descending), False) for t in targets]
|
|
|
|
def _setup_joins(self, pieces, opts, alias):
|
|
"""
|
|
Helper method for get_order_by() and get_distinct().
|
|
|
|
get_ordering() and get_distinct() must produce same target columns on
|
|
same input, as the prefixes of get_ordering() and get_distinct() must
|
|
match. Executing SQL where this is not true is an error.
|
|
"""
|
|
if not alias:
|
|
alias = self.query.get_initial_alias()
|
|
field, targets, opts, joins, path = self.query.setup_joins(
|
|
pieces, opts, alias)
|
|
alias = joins[-1]
|
|
return field, targets, alias, joins, path, opts
|
|
|
|
def get_from_clause(self):
|
|
"""
|
|
Return a list of strings that are joined together to go after the
|
|
"FROM" part of the query, as well as a list any extra parameters that
|
|
need to be included. Subclasses, can override this to create a
|
|
from-clause via a "select".
|
|
|
|
This should only be called after any SQL construction methods that
|
|
might change the tables that are needed. This means the select columns,
|
|
ordering, and distinct must be done first.
|
|
"""
|
|
result = []
|
|
params = []
|
|
for alias in self.query.tables:
|
|
if not self.query.alias_refcount[alias]:
|
|
continue
|
|
try:
|
|
from_clause = self.query.alias_map[alias]
|
|
except KeyError:
|
|
# Extra tables can end up in self.tables, but not in the
|
|
# alias_map if they aren't in a join. That's OK. We skip them.
|
|
continue
|
|
clause_sql, clause_params = self.compile(from_clause)
|
|
result.append(clause_sql)
|
|
params.extend(clause_params)
|
|
for t in self.query.extra_tables:
|
|
alias, _ = self.query.table_alias(t)
|
|
# Only add the alias if it's not already present (the table_alias()
|
|
# call increments the refcount, so an alias refcount of one means
|
|
# this is the only reference).
|
|
if alias not in self.query.alias_map or self.query.alias_refcount[alias] == 1:
|
|
result.append(', %s' % self.quote_name_unless_alias(alias))
|
|
return result, params
|
|
|
|
def get_related_selections(self, select, opts=None, root_alias=None, cur_depth=1,
|
|
requested=None, restricted=None):
|
|
"""
|
|
Fill in the information needed for a select_related query. The current
|
|
depth is measured as the number of connections away from the root model
|
|
(for example, cur_depth=1 means we are looking at models with direct
|
|
connections to the root model).
|
|
"""
|
|
def _get_field_choices():
|
|
direct_choices = (f.name for f in opts.fields if f.is_relation)
|
|
reverse_choices = (
|
|
f.field.related_query_name()
|
|
for f in opts.related_objects if f.field.unique
|
|
)
|
|
return chain(direct_choices, reverse_choices)
|
|
|
|
related_klass_infos = []
|
|
if not restricted and self.query.max_depth and cur_depth > self.query.max_depth:
|
|
# We've recursed far enough; bail out.
|
|
return related_klass_infos
|
|
|
|
if not opts:
|
|
opts = self.query.get_meta()
|
|
root_alias = self.query.get_initial_alias()
|
|
only_load = self.query.get_loaded_field_names()
|
|
|
|
# Setup for the case when only particular related fields should be
|
|
# included in the related selection.
|
|
fields_found = set()
|
|
if requested is None:
|
|
if isinstance(self.query.select_related, dict):
|
|
requested = self.query.select_related
|
|
restricted = True
|
|
else:
|
|
restricted = False
|
|
|
|
def get_related_klass_infos(klass_info, related_klass_infos):
|
|
klass_info['related_klass_infos'] = related_klass_infos
|
|
|
|
for f in opts.fields:
|
|
field_model = f.model._meta.concrete_model
|
|
fields_found.add(f.name)
|
|
|
|
if restricted:
|
|
next = requested.get(f.name, {})
|
|
if not f.is_relation:
|
|
# If a non-related field is used like a relation,
|
|
# or if a single non-relational field is given.
|
|
if next or f.name in requested:
|
|
raise FieldError(
|
|
"Non-relational field given in select_related: '%s'. "
|
|
"Choices are: %s" % (
|
|
f.name,
|
|
", ".join(_get_field_choices()) or '(none)',
|
|
)
|
|
)
|
|
else:
|
|
next = False
|
|
|
|
if not select_related_descend(f, restricted, requested,
|
|
only_load.get(field_model)):
|
|
continue
|
|
klass_info = {
|
|
'model': f.remote_field.model,
|
|
'field': f,
|
|
'reverse': False,
|
|
'from_parent': False,
|
|
}
|
|
related_klass_infos.append(klass_info)
|
|
select_fields = []
|
|
_, _, _, joins, _ = self.query.setup_joins(
|
|
[f.name], opts, root_alias)
|
|
alias = joins[-1]
|
|
columns = self.get_default_columns(start_alias=alias, opts=f.remote_field.model._meta)
|
|
for col in columns:
|
|
select_fields.append(len(select))
|
|
select.append((col, None))
|
|
klass_info['select_fields'] = select_fields
|
|
next_klass_infos = self.get_related_selections(
|
|
select, f.remote_field.model._meta, alias, cur_depth + 1, next, restricted)
|
|
get_related_klass_infos(klass_info, next_klass_infos)
|
|
|
|
if restricted:
|
|
related_fields = [
|
|
(o.field, o.related_model)
|
|
for o in opts.related_objects
|
|
if o.field.unique and not o.many_to_many
|
|
]
|
|
for f, model in related_fields:
|
|
if not select_related_descend(f, restricted, requested,
|
|
only_load.get(model), reverse=True):
|
|
continue
|
|
|
|
related_field_name = f.related_query_name()
|
|
fields_found.add(related_field_name)
|
|
|
|
_, _, _, joins, _ = self.query.setup_joins([related_field_name], opts, root_alias)
|
|
alias = joins[-1]
|
|
from_parent = issubclass(model, opts.model) and model is not opts.model
|
|
klass_info = {
|
|
'model': model,
|
|
'field': f,
|
|
'reverse': True,
|
|
'from_parent': from_parent,
|
|
}
|
|
related_klass_infos.append(klass_info)
|
|
select_fields = []
|
|
columns = self.get_default_columns(
|
|
start_alias=alias, opts=model._meta, from_parent=opts.model)
|
|
for col in columns:
|
|
select_fields.append(len(select))
|
|
select.append((col, None))
|
|
klass_info['select_fields'] = select_fields
|
|
next = requested.get(f.related_query_name(), {})
|
|
next_klass_infos = self.get_related_selections(
|
|
select, model._meta, alias, cur_depth + 1,
|
|
next, restricted)
|
|
get_related_klass_infos(klass_info, next_klass_infos)
|
|
fields_not_found = set(requested.keys()).difference(fields_found)
|
|
if fields_not_found:
|
|
invalid_fields = ("'%s'" % s for s in fields_not_found)
|
|
raise FieldError(
|
|
'Invalid field name(s) given in select_related: %s. '
|
|
'Choices are: %s' % (
|
|
', '.join(invalid_fields),
|
|
', '.join(_get_field_choices()) or '(none)',
|
|
)
|
|
)
|
|
return related_klass_infos
|
|
|
|
def deferred_to_columns(self):
|
|
"""
|
|
Convert the self.deferred_loading data structure to mapping of table
|
|
names to sets of column names which are to be loaded. Return the
|
|
dictionary.
|
|
"""
|
|
columns = {}
|
|
self.query.deferred_to_data(columns, self.query.get_loaded_field_names_cb)
|
|
return columns
|
|
|
|
def get_converters(self, expressions):
|
|
converters = {}
|
|
for i, expression in enumerate(expressions):
|
|
if expression:
|
|
backend_converters = self.connection.ops.get_db_converters(expression)
|
|
field_converters = expression.get_db_converters(self.connection)
|
|
if backend_converters or field_converters:
|
|
converters[i] = (backend_converters + field_converters, expression)
|
|
return converters
|
|
|
|
def apply_converters(self, row, converters):
|
|
row = list(row)
|
|
for pos, (convs, expression) in converters.items():
|
|
value = row[pos]
|
|
for converter in convs:
|
|
value = converter(value, expression, self.connection, self.query.context)
|
|
row[pos] = value
|
|
return tuple(row)
|
|
|
|
def results_iter(self, results=None):
|
|
"""Return an iterator over the results from executing this query."""
|
|
if results is None:
|
|
results = self.execute_sql(MULTI)
|
|
fields = [s[0] for s in self.select[0:self.col_count]]
|
|
converters = self.get_converters(fields)
|
|
for rows in results:
|
|
for row in rows:
|
|
if converters:
|
|
row = self.apply_converters(row, converters)
|
|
yield row
|
|
|
|
def has_results(self):
|
|
"""
|
|
Backends (e.g. NoSQL) can override this in order to use optimized
|
|
versions of "query has any results."
|
|
"""
|
|
# This is always executed on a query clone, so we can modify self.query
|
|
self.query.add_extra({'a': 1}, None, None, None, None, None)
|
|
self.query.set_extra_mask(['a'])
|
|
return bool(self.execute_sql(SINGLE))
|
|
|
|
def execute_sql(self, result_type=MULTI, chunked_fetch=False):
|
|
"""
|
|
Run the query against the database and return the result(s). The
|
|
return value is a single data item if result_type is SINGLE, or an
|
|
iterator over the results if the result_type is MULTI.
|
|
|
|
result_type is either MULTI (use fetchmany() to retrieve all rows),
|
|
SINGLE (only retrieve a single row), or None. In this last case, the
|
|
cursor is returned if any query is executed, since it's used by
|
|
subclasses such as InsertQuery). It's possible, however, that no query
|
|
is needed, as the filters describe an empty set. In that case, None is
|
|
returned, to avoid any unnecessary database interaction.
|
|
"""
|
|
if not result_type:
|
|
result_type = NO_RESULTS
|
|
try:
|
|
sql, params = self.as_sql()
|
|
if not sql:
|
|
raise EmptyResultSet
|
|
except EmptyResultSet:
|
|
if result_type == MULTI:
|
|
return iter([])
|
|
else:
|
|
return
|
|
if chunked_fetch:
|
|
cursor = self.connection.chunked_cursor()
|
|
else:
|
|
cursor = self.connection.cursor()
|
|
try:
|
|
cursor.execute(sql, params)
|
|
except Exception:
|
|
# Might fail for server-side cursors (e.g. connection closed)
|
|
cursor.close()
|
|
raise
|
|
|
|
if result_type == CURSOR:
|
|
# Caller didn't specify a result_type, so just give them back the
|
|
# cursor to process (and close).
|
|
return cursor
|
|
if result_type == SINGLE:
|
|
try:
|
|
val = cursor.fetchone()
|
|
if val:
|
|
return val[0:self.col_count]
|
|
return val
|
|
finally:
|
|
# done with the cursor
|
|
cursor.close()
|
|
if result_type == NO_RESULTS:
|
|
cursor.close()
|
|
return
|
|
|
|
result = cursor_iter(
|
|
cursor, self.connection.features.empty_fetchmany_value,
|
|
self.col_count
|
|
)
|
|
if not chunked_fetch and not self.connection.features.can_use_chunked_reads:
|
|
try:
|
|
# If we are using non-chunked reads, we return the same data
|
|
# structure as normally, but ensure it is all read into memory
|
|
# before going any further. Use chunked_fetch if requested.
|
|
return list(result)
|
|
finally:
|
|
# done with the cursor
|
|
cursor.close()
|
|
return result
|
|
|
|
def as_subquery_condition(self, alias, columns, compiler):
|
|
qn = compiler.quote_name_unless_alias
|
|
qn2 = self.connection.ops.quote_name
|
|
|
|
for index, select_col in enumerate(self.query.select):
|
|
lhs_sql, lhs_params = self.compile(select_col)
|
|
rhs = '%s.%s' % (qn(alias), qn2(columns[index]))
|
|
self.query.where.add(
|
|
QueryWrapper('%s = %s' % (lhs_sql, rhs), lhs_params), 'AND')
|
|
|
|
sql, params = self.as_sql()
|
|
return 'EXISTS (%s)' % sql, params
|
|
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class SQLInsertCompiler(SQLCompiler):
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def __init__(self, *args, **kwargs):
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self.return_id = False
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super().__init__(*args, **kwargs)
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def field_as_sql(self, field, val):
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"""
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Take a field and a value intended to be saved on that field, and
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return placeholder SQL and accompanying params. Check for raw values,
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expressions, and fields with get_placeholder() defined in that order.
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When field is None, consider the value raw and use it as the
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placeholder, with no corresponding parameters returned.
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"""
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if field is None:
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# A field value of None means the value is raw.
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sql, params = val, []
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elif hasattr(val, 'as_sql'):
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# This is an expression, let's compile it.
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sql, params = self.compile(val)
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elif hasattr(field, 'get_placeholder'):
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# Some fields (e.g. geo fields) need special munging before
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# they can be inserted.
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sql, params = field.get_placeholder(val, self, self.connection), [val]
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else:
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# Return the common case for the placeholder
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sql, params = '%s', [val]
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# The following hook is only used by Oracle Spatial, which sometimes
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# needs to yield 'NULL' and [] as its placeholder and params instead
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# of '%s' and [None]. The 'NULL' placeholder is produced earlier by
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# OracleOperations.get_geom_placeholder(). The following line removes
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# the corresponding None parameter. See ticket #10888.
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params = self.connection.ops.modify_insert_params(sql, params)
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return sql, params
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def prepare_value(self, field, value):
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"""
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Prepare a value to be used in a query by resolving it if it is an
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expression and otherwise calling the field's get_db_prep_save().
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"""
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if hasattr(value, 'resolve_expression'):
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value = value.resolve_expression(self.query, allow_joins=False, for_save=True)
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# Don't allow values containing Col expressions. They refer to
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# existing columns on a row, but in the case of insert the row
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# doesn't exist yet.
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if value.contains_column_references:
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raise ValueError(
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'Failed to insert expression "%s" on %s. F() expressions '
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'can only be used to update, not to insert.' % (value, field)
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)
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if value.contains_aggregate:
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raise FieldError("Aggregate functions are not allowed in this query")
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else:
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value = field.get_db_prep_save(value, connection=self.connection)
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return value
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def pre_save_val(self, field, obj):
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"""
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Get the given field's value off the given obj. pre_save() is used for
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things like auto_now on DateTimeField. Skip it if this is a raw query.
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"""
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if self.query.raw:
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return getattr(obj, field.attname)
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return field.pre_save(obj, add=True)
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def assemble_as_sql(self, fields, value_rows):
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"""
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Take a sequence of N fields and a sequence of M rows of values, and
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generate placeholder SQL and parameters for each field and value.
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Return a pair containing:
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* a sequence of M rows of N SQL placeholder strings, and
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* a sequence of M rows of corresponding parameter values.
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Each placeholder string may contain any number of '%s' interpolation
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strings, and each parameter row will contain exactly as many params
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as the total number of '%s's in the corresponding placeholder row.
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"""
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if not value_rows:
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return [], []
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# list of (sql, [params]) tuples for each object to be saved
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# Shape: [n_objs][n_fields][2]
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rows_of_fields_as_sql = (
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(self.field_as_sql(field, v) for field, v in zip(fields, row))
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for row in value_rows
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)
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# tuple like ([sqls], [[params]s]) for each object to be saved
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# Shape: [n_objs][2][n_fields]
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sql_and_param_pair_rows = (zip(*row) for row in rows_of_fields_as_sql)
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# Extract separate lists for placeholders and params.
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# Each of these has shape [n_objs][n_fields]
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placeholder_rows, param_rows = zip(*sql_and_param_pair_rows)
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# Params for each field are still lists, and need to be flattened.
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param_rows = [[p for ps in row for p in ps] for row in param_rows]
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return placeholder_rows, param_rows
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def as_sql(self):
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# We don't need quote_name_unless_alias() here, since these are all
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# going to be column names (so we can avoid the extra overhead).
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qn = self.connection.ops.quote_name
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opts = self.query.get_meta()
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result = ['INSERT INTO %s' % qn(opts.db_table)]
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has_fields = bool(self.query.fields)
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fields = self.query.fields if has_fields else [opts.pk]
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result.append('(%s)' % ', '.join(qn(f.column) for f in fields))
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if has_fields:
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value_rows = [
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[self.prepare_value(field, self.pre_save_val(field, obj)) for field in fields]
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for obj in self.query.objs
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]
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else:
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# An empty object.
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value_rows = [[self.connection.ops.pk_default_value()] for _ in self.query.objs]
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fields = [None]
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# Currently the backends just accept values when generating bulk
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# queries and generate their own placeholders. Doing that isn't
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# necessary and it should be possible to use placeholders and
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# expressions in bulk inserts too.
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can_bulk = (not self.return_id and self.connection.features.has_bulk_insert)
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placeholder_rows, param_rows = self.assemble_as_sql(fields, value_rows)
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if self.return_id and self.connection.features.can_return_id_from_insert:
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if self.connection.features.can_return_ids_from_bulk_insert:
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result.append(self.connection.ops.bulk_insert_sql(fields, placeholder_rows))
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params = param_rows
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else:
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result.append("VALUES (%s)" % ", ".join(placeholder_rows[0]))
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params = [param_rows[0]]
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col = "%s.%s" % (qn(opts.db_table), qn(opts.pk.column))
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r_fmt, r_params = self.connection.ops.return_insert_id()
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# Skip empty r_fmt to allow subclasses to customize behavior for
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# 3rd party backends. Refs #19096.
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if r_fmt:
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result.append(r_fmt % col)
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params += [r_params]
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return [(" ".join(result), tuple(chain.from_iterable(params)))]
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if can_bulk:
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result.append(self.connection.ops.bulk_insert_sql(fields, placeholder_rows))
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return [(" ".join(result), tuple(p for ps in param_rows for p in ps))]
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else:
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return [
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(" ".join(result + ["VALUES (%s)" % ", ".join(p)]), vals)
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for p, vals in zip(placeholder_rows, param_rows)
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]
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def execute_sql(self, return_id=False):
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assert not (
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return_id and len(self.query.objs) != 1 and
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not self.connection.features.can_return_ids_from_bulk_insert
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)
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self.return_id = return_id
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with self.connection.cursor() as cursor:
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for sql, params in self.as_sql():
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cursor.execute(sql, params)
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if not (return_id and cursor):
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return
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if self.connection.features.can_return_ids_from_bulk_insert and len(self.query.objs) > 1:
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return self.connection.ops.fetch_returned_insert_ids(cursor)
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if self.connection.features.can_return_id_from_insert:
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assert len(self.query.objs) == 1
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return self.connection.ops.fetch_returned_insert_id(cursor)
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return self.connection.ops.last_insert_id(
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cursor, self.query.get_meta().db_table, self.query.get_meta().pk.column
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)
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class SQLDeleteCompiler(SQLCompiler):
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def as_sql(self):
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"""
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Create the SQL for this query. Return the SQL string and list of
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parameters.
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"""
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assert len([t for t in self.query.tables if self.query.alias_refcount[t] > 0]) == 1, \
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"Can only delete from one table at a time."
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qn = self.quote_name_unless_alias
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result = ['DELETE FROM %s' % qn(self.query.tables[0])]
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where, params = self.compile(self.query.where)
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if where:
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result.append('WHERE %s' % where)
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return ' '.join(result), tuple(params)
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class SQLUpdateCompiler(SQLCompiler):
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def as_sql(self):
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"""
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Create the SQL for this query. Return the SQL string and list of
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parameters.
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"""
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self.pre_sql_setup()
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if not self.query.values:
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return '', ()
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qn = self.quote_name_unless_alias
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values, update_params = [], []
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for field, model, val in self.query.values:
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if hasattr(val, 'resolve_expression'):
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val = val.resolve_expression(self.query, allow_joins=False, for_save=True)
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if val.contains_aggregate:
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raise FieldError("Aggregate functions are not allowed in this query")
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elif hasattr(val, 'prepare_database_save'):
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if field.remote_field:
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val = field.get_db_prep_save(
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val.prepare_database_save(field),
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connection=self.connection,
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)
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else:
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raise TypeError(
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"Tried to update field %s with a model instance, %r. "
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"Use a value compatible with %s."
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% (field, val, field.__class__.__name__)
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)
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else:
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val = field.get_db_prep_save(val, connection=self.connection)
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# Getting the placeholder for the field.
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if hasattr(field, 'get_placeholder'):
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placeholder = field.get_placeholder(val, self, self.connection)
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else:
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placeholder = '%s'
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name = field.column
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if hasattr(val, 'as_sql'):
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sql, params = self.compile(val)
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values.append('%s = %s' % (qn(name), sql))
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update_params.extend(params)
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elif val is not None:
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values.append('%s = %s' % (qn(name), placeholder))
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update_params.append(val)
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else:
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values.append('%s = NULL' % qn(name))
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table = self.query.tables[0]
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result = [
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'UPDATE %s SET' % qn(table),
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', '.join(values),
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]
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where, params = self.compile(self.query.where)
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if where:
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result.append('WHERE %s' % where)
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return ' '.join(result), tuple(update_params + params)
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def execute_sql(self, result_type):
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"""
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Execute the specified update. Return the number of rows affected by
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the primary update query. The "primary update query" is the first
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non-empty query that is executed. Row counts for any subsequent,
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related queries are not available.
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"""
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cursor = super().execute_sql(result_type)
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try:
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rows = cursor.rowcount if cursor else 0
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is_empty = cursor is None
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finally:
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if cursor:
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cursor.close()
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for query in self.query.get_related_updates():
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aux_rows = query.get_compiler(self.using).execute_sql(result_type)
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if is_empty and aux_rows:
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rows = aux_rows
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is_empty = False
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return rows
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def pre_sql_setup(self):
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"""
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If the update depends on results from other tables, munge the "where"
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conditions to match the format required for (portable) SQL updates.
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If multiple updates are required, pull out the id values to update at
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this point so that they don't change as a result of the progressive
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updates.
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"""
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refcounts_before = self.query.alias_refcount.copy()
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# Ensure base table is in the query
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self.query.get_initial_alias()
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count = self.query.count_active_tables()
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if not self.query.related_updates and count == 1:
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return
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query = self.query.clone(klass=Query)
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query.select_related = False
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query.clear_ordering(True)
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query._extra = {}
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query.select = []
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query.add_fields([query.get_meta().pk.name])
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super().pre_sql_setup()
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must_pre_select = count > 1 and not self.connection.features.update_can_self_select
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# Now we adjust the current query: reset the where clause and get rid
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# of all the tables we don't need (since they're in the sub-select).
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self.query.where = self.query.where_class()
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if self.query.related_updates or must_pre_select:
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# Either we're using the idents in multiple update queries (so
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# don't want them to change), or the db backend doesn't support
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# selecting from the updating table (e.g. MySQL).
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idents = []
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for rows in query.get_compiler(self.using).execute_sql(MULTI):
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idents.extend(r[0] for r in rows)
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self.query.add_filter(('pk__in', idents))
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self.query.related_ids = idents
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else:
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# The fast path. Filters and updates in one query.
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self.query.add_filter(('pk__in', query))
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self.query.reset_refcounts(refcounts_before)
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class SQLAggregateCompiler(SQLCompiler):
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def as_sql(self):
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"""
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Create the SQL for this query. Return the SQL string and list of
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parameters.
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"""
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sql, params = [], []
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for annotation in self.query.annotation_select.values():
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ann_sql, ann_params = self.compile(annotation, select_format=FORCE)
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sql.append(ann_sql)
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params.extend(ann_params)
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self.col_count = len(self.query.annotation_select)
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sql = ', '.join(sql)
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params = tuple(params)
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sql = 'SELECT %s FROM (%s) subquery' % (sql, self.query.subquery)
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params = params + self.query.sub_params
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return sql, params
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def cursor_iter(cursor, sentinel, col_count):
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"""
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Yield blocks of rows from a cursor and ensure the cursor is closed when
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done.
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"""
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try:
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for rows in iter((lambda: cursor.fetchmany(GET_ITERATOR_CHUNK_SIZE)),
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sentinel):
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yield [r[0:col_count] for r in rows]
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finally:
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cursor.close()
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