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author | ttt | 2017-05-13 00:29:47 +0530 |
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committer | ttt | 2017-05-13 00:29:47 +0530 |
commit | abf599be33b383a6a5baf9493093b2126a622ac8 (patch) | |
tree | 4c5ab6e0d935d5e65fabcf0258e4a00dd20a5afa /lib/python2.7/site-packages/django/db/models/sql/query.py | |
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Diffstat (limited to 'lib/python2.7/site-packages/django/db/models/sql/query.py')
-rw-r--r-- | lib/python2.7/site-packages/django/db/models/sql/query.py | 1922 |
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diff --git a/lib/python2.7/site-packages/django/db/models/sql/query.py b/lib/python2.7/site-packages/django/db/models/sql/query.py new file mode 100644 index 0000000..7868c19 --- /dev/null +++ b/lib/python2.7/site-packages/django/db/models/sql/query.py @@ -0,0 +1,1922 @@ +""" +Create SQL statements for QuerySets. + +The code in here encapsulates all of the SQL construction so that QuerySets +themselves do not have to (and could be backed by things other than SQL +databases). The abstraction barrier only works one way: this module has to know +all about the internals of models in order to get the information it needs. +""" + +import copy + +from django.utils.datastructures import SortedDict +from django.utils.encoding import force_text +from django.utils.tree import Node +from django.utils import six +from django.db import connections, DEFAULT_DB_ALIAS +from django.db.models.constants import LOOKUP_SEP +from django.db.models.aggregates import refs_aggregate +from django.db.models.expressions import ExpressionNode +from django.db.models.fields import FieldDoesNotExist +from django.db.models.related import PathInfo +from django.db.models.sql import aggregates as base_aggregates_module +from django.db.models.sql.constants import (QUERY_TERMS, ORDER_DIR, SINGLE, + ORDER_PATTERN, JoinInfo, SelectInfo) +from django.db.models.sql.datastructures import EmptyResultSet, Empty, MultiJoin +from django.db.models.sql.expressions import SQLEvaluator +from django.db.models.sql.where import (WhereNode, Constraint, EverythingNode, + ExtraWhere, AND, OR, EmptyWhere) +from django.core.exceptions import FieldError + +__all__ = ['Query', 'RawQuery'] + + +class RawQuery(object): + """ + A single raw SQL query + """ + + def __init__(self, sql, using, params=None): + self.params = params or () + self.sql = sql + self.using = using + self.cursor = None + + # Mirror some properties of a normal query so that + # the compiler can be used to process results. + self.low_mark, self.high_mark = 0, None # Used for offset/limit + self.extra_select = {} + self.aggregate_select = {} + + def clone(self, using): + return RawQuery(self.sql, using, params=self.params) + + def convert_values(self, value, field, connection): + """Convert the database-returned value into a type that is consistent + across database backends. + + By default, this defers to the underlying backend operations, but + it can be overridden by Query classes for specific backends. + """ + return connection.ops.convert_values(value, field) + + def get_columns(self): + if self.cursor is None: + self._execute_query() + converter = connections[self.using].introspection.table_name_converter + return [converter(column_meta[0]) + for column_meta in self.cursor.description] + + def __iter__(self): + # Always execute a new query for a new iterator. + # This could be optimized with a cache at the expense of RAM. + self._execute_query() + if not connections[self.using].features.can_use_chunked_reads: + # If the database can't use chunked reads we need to make sure we + # evaluate the entire query up front. + result = list(self.cursor) + else: + result = self.cursor + return iter(result) + + def __repr__(self): + return "<RawQuery: %r>" % (self.sql % tuple(self.params)) + + def _execute_query(self): + self.cursor = connections[self.using].cursor() + self.cursor.execute(self.sql, self.params) + + +class Query(object): + """ + A single SQL query. + """ + # SQL join types. These are part of the class because their string forms + # vary from database to database and can be customised by a subclass. + INNER = 'INNER JOIN' + LOUTER = 'LEFT OUTER JOIN' + + alias_prefix = 'T' + query_terms = QUERY_TERMS + aggregates_module = base_aggregates_module + + compiler = 'SQLCompiler' + + def __init__(self, model, where=WhereNode): + self.model = model + self.alias_refcount = {} + # alias_map is the most important data structure regarding joins. + # It's used for recording which joins exist in the query and what + # type they are. The key is the alias of the joined table (possibly + # the table name) and the value is JoinInfo from constants.py. + self.alias_map = {} + self.table_map = {} # Maps table names to list of aliases. + self.join_map = {} + self.default_cols = True + self.default_ordering = True + self.standard_ordering = True + self.used_aliases = set() + self.filter_is_sticky = False + self.included_inherited_models = {} + + # SQL-related attributes + # Select and related select clauses as SelectInfo instances. + # The select is used for cases where we want to set up the select + # clause to contain other than default fields (values(), annotate(), + # subqueries...) + self.select = [] + # The related_select_cols is used for columns needed for + # select_related - this is populated in compile stage. + self.related_select_cols = [] + self.tables = [] # Aliases in the order they are created. + self.where = where() + self.where_class = where + self.group_by = None + self.having = where() + self.order_by = [] + self.low_mark, self.high_mark = 0, None # Used for offset/limit + self.distinct = False + self.distinct_fields = [] + self.select_for_update = False + self.select_for_update_nowait = False + self.select_related = False + + # SQL aggregate-related attributes + self.aggregates = SortedDict() # Maps alias -> SQL aggregate function + self.aggregate_select_mask = None + self._aggregate_select_cache = None + + # Arbitrary maximum limit for select_related. Prevents infinite + # recursion. Can be changed by the depth parameter to select_related(). + self.max_depth = 5 + + # These are for extensions. The contents are more or less appended + # verbatim to the appropriate clause. + self.extra = SortedDict() # Maps col_alias -> (col_sql, params). + self.extra_select_mask = None + self._extra_select_cache = None + + self.extra_tables = () + self.extra_order_by = () + + # A tuple that is a set of model field names and either True, if these + # are the fields to defer, or False if these are the only fields to + # load. + self.deferred_loading = (set(), True) + + def __str__(self): + """ + Returns the query as a string of SQL with the parameter values + substituted in (use sql_with_params() to see the unsubstituted string). + + Parameter values won't necessarily be quoted correctly, since that is + done by the database interface at execution time. + """ + sql, params = self.sql_with_params() + return sql % params + + def sql_with_params(self): + """ + Returns the query as an SQL string and the parameters that will be + subsituted into the query. + """ + return self.get_compiler(DEFAULT_DB_ALIAS).as_sql() + + def __deepcopy__(self, memo): + result = self.clone(memo=memo) + memo[id(self)] = result + return result + + def prepare(self): + return self + + def get_compiler(self, using=None, connection=None): + if using is None and connection is None: + raise ValueError("Need either using or connection") + if using: + connection = connections[using] + + # Check that the compiler will be able to execute the query + for alias, aggregate in self.aggregate_select.items(): + connection.ops.check_aggregate_support(aggregate) + + return connection.ops.compiler(self.compiler)(self, connection, using) + + def get_meta(self): + """ + Returns the Options instance (the model._meta) from which to start + processing. Normally, this is self.model._meta, but it can be changed + by subclasses. + """ + return self.model._meta + + def clone(self, klass=None, memo=None, **kwargs): + """ + Creates a copy of the current instance. The 'kwargs' parameter can be + used by clients to update attributes after copying has taken place. + """ + obj = Empty() + obj.__class__ = klass or self.__class__ + obj.model = self.model + obj.alias_refcount = self.alias_refcount.copy() + obj.alias_map = self.alias_map.copy() + obj.table_map = self.table_map.copy() + obj.join_map = self.join_map.copy() + obj.default_cols = self.default_cols + obj.default_ordering = self.default_ordering + obj.standard_ordering = self.standard_ordering + obj.included_inherited_models = self.included_inherited_models.copy() + obj.select = self.select[:] + obj.related_select_cols = [] + obj.tables = self.tables[:] + obj.where = self.where.clone() + obj.where_class = self.where_class + if self.group_by is None: + obj.group_by = None + else: + obj.group_by = self.group_by[:] + obj.having = self.having.clone() + obj.order_by = self.order_by[:] + obj.low_mark, obj.high_mark = self.low_mark, self.high_mark + obj.distinct = self.distinct + obj.distinct_fields = self.distinct_fields[:] + obj.select_for_update = self.select_for_update + obj.select_for_update_nowait = self.select_for_update_nowait + obj.select_related = self.select_related + obj.related_select_cols = [] + obj.aggregates = self.aggregates.copy() + if self.aggregate_select_mask is None: + obj.aggregate_select_mask = None + else: + obj.aggregate_select_mask = self.aggregate_select_mask.copy() + # _aggregate_select_cache cannot be copied, as doing so breaks the + # (necessary) state in which both aggregates and + # _aggregate_select_cache point to the same underlying objects. + # It will get re-populated in the cloned queryset the next time it's + # used. + obj._aggregate_select_cache = None + obj.max_depth = self.max_depth + obj.extra = self.extra.copy() + if self.extra_select_mask is None: + obj.extra_select_mask = None + else: + obj.extra_select_mask = self.extra_select_mask.copy() + if self._extra_select_cache is None: + obj._extra_select_cache = None + else: + obj._extra_select_cache = self._extra_select_cache.copy() + obj.extra_tables = self.extra_tables + obj.extra_order_by = self.extra_order_by + obj.deferred_loading = copy.copy(self.deferred_loading[0]), self.deferred_loading[1] + if self.filter_is_sticky and self.used_aliases: + obj.used_aliases = self.used_aliases.copy() + else: + obj.used_aliases = set() + obj.filter_is_sticky = False + + obj.__dict__.update(kwargs) + if hasattr(obj, '_setup_query'): + obj._setup_query() + return obj + + def convert_values(self, value, field, connection): + """Convert the database-returned value into a type that is consistent + across database backends. + + By default, this defers to the underlying backend operations, but + it can be overridden by Query classes for specific backends. + """ + return connection.ops.convert_values(value, field) + + def resolve_aggregate(self, value, aggregate, connection): + """Resolve the value of aggregates returned by the database to + consistent (and reasonable) types. + + This is required because of the predisposition of certain backends + to return Decimal and long types when they are not needed. + """ + if value is None: + if aggregate.is_ordinal: + return 0 + # Return None as-is + return value + elif aggregate.is_ordinal: + # Any ordinal aggregate (e.g., count) returns an int + return int(value) + elif aggregate.is_computed: + # Any computed aggregate (e.g., avg) returns a float + return float(value) + else: + # Return value depends on the type of the field being processed. + return self.convert_values(value, aggregate.field, connection) + + def get_aggregation(self, using): + """ + Returns the dictionary with the values of the existing aggregations. + """ + if not self.aggregate_select: + return {} + + # If there is a group by clause, aggregating does not add useful + # information but retrieves only the first row. Aggregate + # over the subquery instead. + if self.group_by is not None: + from django.db.models.sql.subqueries import AggregateQuery + query = AggregateQuery(self.model) + + obj = self.clone() + + # Remove any aggregates marked for reduction from the subquery + # and move them to the outer AggregateQuery. + for alias, aggregate in self.aggregate_select.items(): + if aggregate.is_summary: + query.aggregate_select[alias] = aggregate + del obj.aggregate_select[alias] + + try: + query.add_subquery(obj, using) + except EmptyResultSet: + return dict( + (alias, None) + for alias in query.aggregate_select + ) + else: + query = self + self.select = [] + self.default_cols = False + self.extra = {} + self.remove_inherited_models() + + query.clear_ordering(True) + query.clear_limits() + query.select_for_update = False + query.select_related = False + query.related_select_cols = [] + + result = query.get_compiler(using).execute_sql(SINGLE) + if result is None: + result = [None for q in query.aggregate_select.items()] + + return dict([ + (alias, self.resolve_aggregate(val, aggregate, connection=connections[using])) + for (alias, aggregate), val + in zip(query.aggregate_select.items(), result) + ]) + + def get_count(self, using): + """ + Performs a COUNT() query using the current filter constraints. + """ + obj = self.clone() + if len(self.select) > 1 or self.aggregate_select or (self.distinct and self.distinct_fields): + # If a select clause exists, then the query has already started to + # specify the columns that are to be returned. + # In this case, we need to use a subquery to evaluate the count. + from django.db.models.sql.subqueries import AggregateQuery + subquery = obj + subquery.clear_ordering(True) + subquery.clear_limits() + + obj = AggregateQuery(obj.model) + try: + obj.add_subquery(subquery, using=using) + except EmptyResultSet: + # add_subquery evaluates the query, if it's an EmptyResultSet + # then there are can be no results, and therefore there the + # count is obviously 0 + return 0 + + obj.add_count_column() + number = obj.get_aggregation(using=using)[None] + + # Apply offset and limit constraints manually, since using LIMIT/OFFSET + # in SQL (in variants that provide them) doesn't change the COUNT + # output. + number = max(0, number - self.low_mark) + if self.high_mark is not None: + number = min(number, self.high_mark - self.low_mark) + + return number + + def has_results(self, using): + q = self.clone() + q.clear_select_clause() + q.add_extra({'a': 1}, None, None, None, None, None) + q.set_extra_mask(['a']) + q.clear_ordering(True) + q.set_limits(high=1) + compiler = q.get_compiler(using=using) + return bool(compiler.execute_sql(SINGLE)) + + def combine(self, rhs, connector): + """ + Merge the 'rhs' query into the current one (with any 'rhs' effects + being applied *after* (that is, "to the right of") anything in the + current query. 'rhs' is not modified during a call to this function. + + The 'connector' parameter describes how to connect filters from the + 'rhs' query. + """ + assert self.model == rhs.model, \ + "Cannot combine queries on two different base models." + assert self.can_filter(), \ + "Cannot combine queries once a slice has been taken." + assert self.distinct == rhs.distinct, \ + "Cannot combine a unique query with a non-unique query." + assert self.distinct_fields == rhs.distinct_fields, \ + "Cannot combine queries with different distinct fields." + + self.remove_inherited_models() + # Work out how to relabel the rhs aliases, if necessary. + change_map = {} + conjunction = (connector == AND) + + # Determine which existing joins can be reused. When combining the + # query with AND we must recreate all joins for m2m filters. When + # combining with OR we can reuse joins. The reason is that in AND + # case a single row can't fulfill a condition like: + # revrel__col=1 & revrel__col=2 + # But, there might be two different related rows matching this + # condition. In OR case a single True is enough, so single row is + # enough, too. + # + # Note that we will be creating duplicate joins for non-m2m joins in + # the AND case. The results will be correct but this creates too many + # joins. This is something that could be fixed later on. + reuse = set() if conjunction else set(self.tables) + # Base table must be present in the query - this is the same + # table on both sides. + self.get_initial_alias() + # Now, add the joins from rhs query into the new query (skipping base + # table). + for alias in rhs.tables[1:]: + table, _, join_type, lhs, join_cols, nullable, join_field = rhs.alias_map[alias] + promote = (join_type == self.LOUTER) + # If the left side of the join was already relabeled, use the + # updated alias. + lhs = change_map.get(lhs, lhs) + new_alias = self.join( + (lhs, table, join_cols), reuse=reuse, + outer_if_first=not conjunction, nullable=nullable, + join_field=join_field) + if promote: + self.promote_joins([new_alias]) + # We can't reuse the same join again in the query. If we have two + # distinct joins for the same connection in rhs query, then the + # combined query must have two joins, too. + reuse.discard(new_alias) + change_map[alias] = new_alias + if not rhs.alias_refcount[alias]: + # The alias was unused in the rhs query. Unref it so that it + # will be unused in the new query, too. We have to add and + # unref the alias so that join promotion has information of + # the join type for the unused alias. + self.unref_alias(new_alias) + + # So that we don't exclude valid results in an OR query combination, + # all joins exclusive to either the lhs or the rhs must be converted + # to an outer join. RHS joins were already set to outer joins above, + # so check which joins were used only in the lhs query. + if not conjunction: + rhs_used_joins = set(change_map.values()) + to_promote = [alias for alias in self.tables + if alias not in rhs_used_joins] + self.promote_joins(to_promote, True) + + # Now relabel a copy of the rhs where-clause and add it to the current + # one. + if rhs.where: + w = rhs.where.clone() + 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, field in rhs.select: + if isinstance(col, (list, tuple)): + new_col = change_map.get(col[0], col[0]), col[1] + self.select.append(SelectInfo(new_col, field)) + else: + new_col = col.relabeled_clone(change_map) + self.select.append(SelectInfo(new_col, field)) + + 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[:] if rhs.order_by else 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.get_meta() + seen = {} + must_include = {orig_opts.concrete_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] + if is_reverse_o2o(source): + cur_model = source.model + else: + cur_model = source.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 + # (if it's not a reverse relation) to the things we select. + if not is_reverse_o2o(source): + 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 + if not is_reverse_o2o(field): + 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 six.iteritems(seen): + 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 six.iteritems(must_include): + # 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 six.iteritems(workset): + callback(target, model, values) + else: + for model, values in six.iteritems(must_include): + 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 six.iteritems(seen): + 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_joins(self, aliases, unconditional=False): + """ + Promotes recursively the join type of given aliases and its children to + an outer join. If 'unconditional' is False, the join is only promoted if + it is nullable or the parent join is an outer join. + + Note about join promotion: When promoting any alias, we make sure all + joins which start from that alias are promoted, too. When adding a join + in join(), we make sure any join added to already existing LOUTER join + is generated as LOUTER. This ensures we don't ever have broken join + chains which contain first a LOUTER join, then an INNER JOIN, that is + this kind of join should never be generated: a LOUTER b INNER c. The + reason for avoiding this type of join chain is that the INNER after + the LOUTER will effectively remove any effect the LOUTER had. + """ + aliases = list(aliases) + while aliases: + alias = aliases.pop(0) + if self.alias_map[alias].join_cols[0][1] is None: + # This is the base table (first FROM entry) - this table + # isn't really joined at all in the query, so we should not + # alter its join type. + continue + parent_alias = self.alias_map[alias].lhs_alias + parent_louter = (parent_alias + and self.alias_map[parent_alias].join_type == self.LOUTER) + already_louter = self.alias_map[alias].join_type == self.LOUTER + if ((unconditional or self.alias_map[alias].nullable + or parent_louter) and not already_louter): + data = self.alias_map[alias]._replace(join_type=self.LOUTER) + self.alias_map[alias] = data + # Join type of 'alias' changed, so re-examine all aliases that + # refer to this one. + aliases.extend( + join for join in self.alias_map.keys() + if (self.alias_map[join].lhs_alias == alias + and join not in aliases)) + + 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_disjunction(self, aliases_before, alias_usage_counts, + num_childs): + """ + This method is to be used for promoting joins in ORed filters. + + The principle for promotion is: any alias which is used (it is in + alias_usage_counts), is not used by every child of the ORed filter, + and isn't pre-existing needs to be promoted to LOUTER join. + """ + for alias, use_count in alias_usage_counts.items(): + if use_count < num_childs and alias not in aliases_before: + self.promote_joins([alias]) + + 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() + + def relabel_column(col): + if isinstance(col, (list, tuple)): + old_alias = col[0] + return (change_map.get(old_alias, old_alias), col[1]) + else: + return col.relabeled_clone(change_map) + # 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) + if self.group_by: + self.group_by = [relabel_column(col) for col in self.group_by] + self.select = [SelectInfo(relabel_column(s.col), s.field) + for s in self.select] + self.aggregates = SortedDict( + (key, relabel_column(col)) for key, col in self.aggregates.items()) + + # 2. Rename the alias in the internal table/alias datastructures. + for ident, aliases in self.join_map.items(): + del self.join_map[ident] + aliases = tuple([change_map.get(a, a) for a in aliases]) + ident = (change_map.get(ident[0], ident[0]),) + ident[1:] + self.join_map[ident] = aliases + for old_alias, new_alias in six.iteritems(change_map): + alias_data = self.alias_map[old_alias] + alias_data = alias_data._replace(rhs_alias=new_alias) + self.alias_refcount[new_alias] = self.alias_refcount[old_alias] + del self.alias_refcount[old_alias] + self.alias_map[new_alias] = 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 six.iteritems(self.alias_map): + lhs = data.lhs_alias + if lhs in change_map: + data = data._replace(lhs_alias=change_map[lhs]) + self.alias_map[alias] = 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 = SortedDict() + 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.get_meta().db_table, 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.values() if count]) + + def join(self, connection, reuse=None, outer_if_first=False, + nullable=False, join_field=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, join_cols) where 'lhs' is either an existing + table alias or a table name. 'join_cols' is a tuple of tuples containing + columns to join on ((l_id1, r_id1), (l_id2, r_id2)). The join corresponds + to the SQL equivalent of:: + + lhs.l_id1 = table.r_id1 AND lhs.l_id2 = table.r_id2 + + The 'reuse' parameter can be either None which means all joins + (matching the connection) are reusable, or it can be a set containing + the aliases that can be reused. + + If 'outer_if_first' is True and a new join is created, it will have the + LOUTER join type. + + A join is always created as LOUTER if the lhs alias is LOUTER to make + sure we do not generate chains like t1 LOUTER t2 INNER t3. + + If 'nullable' is True, the join can potentially involve NULL values and + is a candidate for promotion (to "left outer") when combining querysets. + + The 'join_field' is the field we are joining along (if any). + """ + lhs, table, join_cols = connection + assert lhs is None or join_field is not None + existing = self.join_map.get(connection, ()) + if reuse is None: + reuse = existing + else: + reuse = [a for a in existing if a in reuse] + for alias in reuse: + if join_field and self.alias_map[alias].join_field != join_field: + # The join_map doesn't contain join_field (mainly because + # fields in Query structs are problematic in pickling), so + # check that the existing join is created using the same + # join_field used for the under work join. + continue + self.ref_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 outer_if_first or self.alias_map[lhs].join_type == self.LOUTER: + # We need to use LOUTER join if asked by outer_if_first or if the + # LHS table is left-joined in the query. + join_type = self.LOUTER + else: + join_type = self.INNER + join = JoinInfo(table, alias, join_type, lhs, join_cols or ((None, None),), nullable, + join_field) + self.alias_map[alias] = join + if connection in self.join_map: + self.join_map[connection] += (alias,) + else: + self.join_map[connection] = (alias,) + 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.get_meta() + root_alias = self.tables[0] + seen = {None: root_alias} + + for field, model in opts.get_fields_with_model(): + if model not in seen: + self.join_parent_model(opts, model, root_alias, seen) + self.included_inherited_models = seen + + def join_parent_model(self, opts, model, alias, seen): + """ + Makes sure the given 'model' is joined in the query. If 'model' isn't + a parent of 'opts' or if it is None this method is a no-op. + + The 'alias' is the root alias for starting the join, 'seen' is a dict + of model -> alias of existing joins. It must also contain a mapping + of None -> some alias. This will be returned in the no-op case. + """ + if model in seen: + return seen[model] + chain = opts.get_base_chain(model) + if chain is None: + return alias + curr_opts = opts + for int_model in chain: + if int_model in seen: + return seen[int_model] + # Proxy model have elements in base chain + # with no parents, assign the new options + # object and skip to the next base in that + # case + if not curr_opts.parents[int_model]: + curr_opts = int_model._meta + continue + link_field = curr_opts.get_ancestor_link(int_model) + _, _, _, joins, _ = self.setup_joins( + [link_field.name], curr_opts, alias) + curr_opts = int_model._meta + alias = seen[int_model] = joins[-1] + return alias or seen[None] + + 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 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, sources, opts, join_list, path = self.setup_joins( + field_list, opts, self.get_initial_alias()) + + # Process the join chain to see if it can be trimmed + targets, _, join_list = self.trim_joins(sources, join_list, path) + + # 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. + self.promote_joins(join_list, True) + + col = targets[0].column + source = sources[0] + 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 build_filter(self, filter_expr, branch_negated=False, current_negated=False, + can_reuse=None): + """ + Builds a WhereNode for a single filter clause, but doesn't add it + to this Query. Query.add_q() will then add this filter to the where + or having Node. + + The 'branch_negated' tells us if the current branch contains any + negations. This will be used to determine if subqueries are needed. + + The 'current_negated' is used to determine if the current filter is + negated or not and this will be used to determine if IS NULL filtering + is needed. + + The difference between current_netageted and branch_negated is that + branch_negated is set on first negation, but current_negated is + flipped for each negation. + + Note that add_filter will not do any negating itself, that is done + upper in the code by add_q(). + + The 'can_reuse' is a set of reusable joins for multijoins. + + The method will create a filter clause that can be added to the current + query. However, if the filter isn't added to the query then the caller + is responsible for unreffing the joins used. + """ + arg, value = filter_expr + parts = arg.split(LOOKUP_SEP) + 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 + + clause = self.where_class() + # Interpret '__exact=None' as the sql 'is NULL'; otherwise, reject all + # uses of None as a query value. + if value is None: + 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, reuse=can_reuse) + # For Oracle '' is equivalent to null. The check needs to be done + # at this stage because join promotion can't be done at compiler + # stage. Using DEFAULT_DB_ALIAS isn't nice, but it is the best we + # can do here. Similar thing is done in is_nullable(), too. + if (connections[DEFAULT_DB_ALIAS].features.interprets_empty_strings_as_nulls and + lookup_type == 'exact' and value == ''): + value = True + lookup_type = 'isnull' + + for alias, aggregate in self.aggregates.items(): + if alias in (parts[0], LOOKUP_SEP.join(parts)): + clause.add((aggregate, lookup_type, value), AND) + return clause + + opts = self.get_meta() + alias = self.get_initial_alias() + allow_many = not branch_negated + + try: + field, sources, opts, join_list, path = self.setup_joins( + parts, opts, alias, can_reuse, allow_many, + allow_explicit_fk=True) + if can_reuse is not None: + can_reuse.update(join_list) + except MultiJoin as e: + return self.split_exclude(filter_expr, LOOKUP_SEP.join(parts[:e.level]), + can_reuse, e.names_with_path) + + if (lookup_type == 'isnull' and value is True and not current_negated and + len(join_list) > 1): + # If the comparison is against NULL, we may need to use some left + # outer joins when creating the join chain. This is only done when + # needed, as it's less efficient at the database level. + self.promote_joins(join_list) + + # Process the join list to see if we can remove any inner joins from + # the far end (fewer tables in a query is better). Note that join + # promotion must happen before join trimming to have the join type + # information available when reusing joins. + targets, alias, join_list = self.trim_joins(sources, join_list, path) + + if hasattr(field, 'get_lookup_constraint'): + constraint = field.get_lookup_constraint(self.where_class, alias, targets, sources, + lookup_type, value) + else: + constraint = (Constraint(alias, targets[0].column, field), lookup_type, value) + clause.add(constraint, AND) + if current_negated and (lookup_type != 'isnull' or value is False): + self.promote_joins(join_list) + if (lookup_type != 'isnull' and ( + self.is_nullable(targets[0]) or + self.alias_map[join_list[-1]].join_type == self.LOUTER)): + # The condition added here will be SQL like this: + # NOT (col IS NOT NULL), where the first NOT is added in + # upper layers of code. The reason for addition is that if col + # is null, then col != someval will result in SQL "unknown" + # which isn't the same as in Python. The Python None handling + # is wanted, and it can be gotten by + # (col IS NULL OR col != someval) + # <=> + # NOT (col IS NOT NULL AND col = someval). + clause.add((Constraint(alias, targets[0].column, None), 'isnull', False), AND) + return clause + + def add_filter(self, filter_clause): + self.where.add(self.build_filter(filter_clause), 'AND') + + def need_having(self, obj): + """ + Returns whether or not all elements of this q_object need to be put + together in the HAVING clause. + """ + if not isinstance(obj, Node): + return (refs_aggregate(obj[0].split(LOOKUP_SEP), self.aggregates) + or (hasattr(obj[1], 'contains_aggregate') + and obj[1].contains_aggregate(self.aggregates))) + return any(self.need_having(c) for c in obj.children) + + def split_having_parts(self, q_object, negated=False): + """ + Returns a list of q_objects which need to go into the having clause + instead of the where clause. Removes the splitted out nodes from the + given q_object. Note that the q_object is altered, so cloning it is + needed. + """ + having_parts = [] + for c in q_object.children[:]: + # When constucting the having nodes we need to take care to + # preserve the negation status from the upper parts of the tree + if isinstance(c, Node): + # For each negated child, flip the in_negated flag. + in_negated = c.negated ^ negated + if c.connector == OR and self.need_having(c): + # A subtree starting from OR clause must go into having in + # whole if any part of that tree references an aggregate. + q_object.children.remove(c) + having_parts.append(c) + c.negated = in_negated + else: + having_parts.extend( + self.split_having_parts(c, in_negated)[1]) + elif self.need_having(c): + q_object.children.remove(c) + new_q = self.where_class(children=[c], negated=negated) + having_parts.append(new_q) + return q_object, having_parts + + def add_q(self, q_object): + """ + A preprocessor for the internal _add_q(). Responsible for + splitting the given q_object into where and having parts and + setting up some internal variables. + """ + if not self.need_having(q_object): + where_part, having_parts = q_object, [] + else: + where_part, having_parts = self.split_having_parts( + q_object.clone(), q_object.negated) + used_aliases = self.used_aliases + clause = self._add_q(where_part, used_aliases) + self.where.add(clause, AND) + for hp in having_parts: + clause = self._add_q(hp, used_aliases) + self.having.add(clause, AND) + if self.filter_is_sticky: + self.used_aliases = used_aliases + + def _add_q(self, q_object, used_aliases, branch_negated=False, + current_negated=False): + """ + Adds a Q-object to the current filter. + """ + connector = q_object.connector + current_negated = current_negated ^ q_object.negated + branch_negated = branch_negated or q_object.negated + target_clause = self.where_class(connector=connector, + negated=q_object.negated) + # Treat case NOT (a AND b) like case ((NOT a) OR (NOT b)) for join + # promotion. See ticket #21748. + effective_connector = connector + if current_negated: + effective_connector = OR if effective_connector == AND else AND + if effective_connector == OR: + alias_usage_counts = dict() + aliases_before = set(self.tables) + for child in q_object.children: + if effective_connector == OR: + refcounts_before = self.alias_refcount.copy() + if isinstance(child, Node): + child_clause = self._add_q( + child, used_aliases, branch_negated, + current_negated) + else: + child_clause = self.build_filter( + child, can_reuse=used_aliases, branch_negated=branch_negated, + current_negated=current_negated) + target_clause.add(child_clause, connector) + if effective_connector == OR: + used = alias_diff(refcounts_before, self.alias_refcount) + for alias in used: + alias_usage_counts[alias] = alias_usage_counts.get(alias, 0) + 1 + if effective_connector == OR: + self.promote_disjunction(aliases_before, alias_usage_counts, + len(q_object.children)) + return target_clause + + def names_to_path(self, names, opts, allow_many, allow_explicit_fk): + """ + Walks the names path and turns them PathInfo tuples. Note that a + single name in 'names' can generate multiple PathInfos (m2m for + example). + + 'names' is the path of names to travle, 'opts' is the model Options we + start the name resolving from, 'allow_many' and 'allow_explicit_fk' + are as for setup_joins(). + + Returns a list of PathInfo tuples. In addition returns the final field + (the last used join field), and target (which is a field guaranteed to + contain the same value as the final field). + """ + path, names_with_path = [], [] + for pos, name in enumerate(names): + cur_names_with_path = (name, []) + 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: + available = opts.get_all_field_names() + list(self.aggregate_select) + raise FieldError("Cannot resolve keyword %r into field. " + "Choices are: %s" % (name, ", ".join(available))) + # Check if we need any joins for concrete inheritance cases (the + # field lives in parent, but we are currently in one of its + # children) + 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 = opts.concrete_model + + for int_model in opts.get_base_chain(model): + if int_model is proxied_model: + opts = int_model._meta + else: + final_field = opts.parents[int_model] + targets = (final_field.rel.get_related_field(),) + opts = int_model._meta + path.append(PathInfo(final_field.model._meta, opts, targets, final_field, False, True)) + cur_names_with_path[1].append(PathInfo(final_field.model._meta, opts, targets, final_field, False, True)) + if hasattr(field, 'get_path_info'): + pathinfos = field.get_path_info() + if not allow_many: + for inner_pos, p in enumerate(pathinfos): + if p.m2m: + cur_names_with_path[1].extend(pathinfos[0:inner_pos + 1]) + names_with_path.append(cur_names_with_path) + raise MultiJoin(pos + 1, names_with_path) + last = pathinfos[-1] + path.extend(pathinfos) + final_field = last.join_field + opts = last.to_opts + targets = last.target_fields + cur_names_with_path[1].extend(pathinfos) + names_with_path.append(cur_names_with_path) + else: + # Local non-relational field. + final_field = field + targets = (field,) + break + + 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 path, final_field, targets + + def setup_joins(self, names, opts, alias, can_reuse=None, allow_many=True, + allow_explicit_fk=False, outer_if_first=False): + """ + 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 starting from), 'alias' is the alias for + the table to start the joining from. + + The 'can_reuse' defines the reverse foreign key joins we can reuse. It + can be None in which case all joins are reusable or a set of aliases + that can be reused. Note that non-reverse foreign keys are always + reusable when using setup_joins(). + + If 'allow_many' is False, then any reverse foreign key seen will + generate a MultiJoin exception. + + The 'allow_explicit_fk' controls if field.attname is allowed in the + lookups. + + Returns the final field involved in the joins, the target field (used + for any 'where' constraint), the final 'opts' value, the joins and the + field path travelled to generate the joins. + + The target field is the field containing the concrete value. Final + field can be something different, for example foreign key pointing to + that value. Final field is needed for example in some value + conversions (convert 'obj' in fk__id=obj to pk val using the foreign + key field for example). + """ + joins = [alias] + # First, generate the path for the names + path, final_field, targets = self.names_to_path( + names, opts, allow_many, allow_explicit_fk) + # Then, add the path to the query's joins. Note that we can't trim + # joins at this stage - we will need the information about join type + # of the trimmed joins. + for pos, join in enumerate(path): + opts = join.to_opts + if join.direct: + nullable = self.is_nullable(join.join_field) + else: + nullable = True + connection = alias, opts.db_table, join.join_field.get_joining_columns() + reuse = can_reuse if join.m2m else None + alias = self.join( + connection, reuse=reuse, nullable=nullable, join_field=join.join_field, + outer_if_first=outer_if_first) + joins.append(alias) + if hasattr(final_field, 'field'): + final_field = final_field.field + return final_field, targets, opts, joins, path + + def trim_joins(self, targets, joins, path): + """ + The 'target' parameter is the final field being joined to, 'joins' + is the full list of join aliases. The 'path' contain the PathInfos + used to create the joins. + + Returns the final target field and table alias and the new active + joins. + + We will always trim any direct join if we have the target column + available already in the previous table. Reverse joins can't be + trimmed as we don't know if there is anything on the other side of + the join. + """ + for pos, info in enumerate(reversed(path)): + if len(joins) == 1 or not info.direct: + break + join_targets = set(t.column for t in info.join_field.foreign_related_fields) + cur_targets = set(t.column for t in targets) + if not cur_targets.issubset(join_targets): + break + targets = tuple(r[0] for r in info.join_field.related_fields if r[1].column in cur_targets) + self.unref_alias(joins.pop()) + return targets, joins[-1], joins + + def split_exclude(self, filter_expr, prefix, can_reuse, names_with_path): + """ + 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. + + As an example we could have original filter ~Q(child__name='foo'). + We would get here with filter_expr = child__name, prefix = child and + can_reuse is a set of joins usable for filters in the original query. + + We will turn this into equivalent of: + WHERE NOT (pk IN (SELECT parent_id FROM thetable + WHERE name = 'foo' AND parent_id IS NOT NULL)) + + It might be worth it to consider using WHERE NOT EXISTS as that has + saner null handling, and is easier for the backend's optimizer to + handle. + """ + # Generate the inner query. + query = Query(self.model) + query.where.add(query.build_filter(filter_expr), AND) + query.bump_prefix() + query.clear_ordering(True) + # Try to have as simple as possible subquery -> trim leading joins from + # the subquery. + trimmed_prefix, contains_louter = query.trim_start(names_with_path) + query.remove_inherited_models() + + # Add 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 + if self.is_nullable(query.select[0].field): + alias, col = query.select[0].col + query.where.add((Constraint(alias, col, query.select[0].field), 'isnull', False), AND) + + condition = self.build_filter( + ('%s__in' % trimmed_prefix, query), + current_negated=True, branch_negated=True, can_reuse=can_reuse) + if contains_louter: + or_null_condition = self.build_filter( + ('%s__isnull' % trimmed_prefix, True), + current_negated=True, branch_negated=True, can_reuse=can_reuse) + condition.add(or_null_condition, OR) + # Note that the end result will be: + # (outercol NOT IN innerq AND outercol IS NOT NULL) OR outercol IS NULL. + # This might look crazy but due to how IN works, this seems to be + # correct. If the IS NOT NULL check is removed then outercol NOT + # IN will return UNKNOWN. If the IS NULL check is removed, then if + # outercol IS NULL we will not match the row. + return condition + + def set_empty(self): + self.where = EmptyWhere() + self.having = EmptyWhere() + + def is_empty(self): + return isinstance(self.where, EmptyWhere) or isinstance(self.having, EmptyWhere) + + 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_clause(self): + """ + Removes all fields from SELECT clause. + """ + self.select = [] + self.default_cols = False + self.select_related = False + self.set_extra_mask(()) + self.set_aggregate_mask(()) + + 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 = [] + + 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, targets, u2, joins, path = self.setup_joins( + name.split(LOOKUP_SEP), opts, alias, None, allow_m2m, + allow_explicit_fk=True, outer_if_first=True) + + # Trim last join if possible + targets, final_alias, remaining_joins = self.trim_joins(targets, joins[-2:], path) + joins = joins[:-2] + remaining_joins + + self.promote_joins(joins[1:]) + for target in targets: + self.select.append(SelectInfo((final_alias, target.column), target)) + except MultiJoin: + raise FieldError("Invalid field name: '%s'" % name) + except FieldError: + if LOOKUP_SEP in name: + # For lookups spanning over relationships, show the error + # from the model on which the lookup failed. + raise + else: + names = sorted(opts.get_all_field_names() + list(self.extra) + + list(self.aggregate_select)) + 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): + """ + 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 col, _ in self.select: + self.group_by.append(col) + + 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].col) + else: + opts = self.get_meta() + if not self.select: + count = self.aggregates_module.Count( + (self.join((None, opts.db_table, 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].col, 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 = [] + + 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_text(entry) + entry_params = [] + pos = entry.find("%s") + while pos != -1: + entry_params.append(next(param_iter)) + 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.get_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. + """ + # We cache this because we call this function multiple times + # (compiler.fill_related_selections, query.iterator) + try: + return self._loaded_field_names_cache + except AttributeError: + collection = {} + self.deferred_to_data(collection, self.get_loaded_field_names_cb) + self._loaded_field_names_cache = collection + 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 trim_start(self, names_with_path): + """ + Trims joins from the start of the join path. The candidates for trim + are the PathInfos in names_with_path structure that are m2m joins. + + Also sets the select column so the start matches the join. + + This method is meant to be used for generating the subquery joins & + cols in split_exclude(). + + Returns a lookup usable for doing outerq.filter(lookup=self). Returns + also if the joins in the prefix contain a LEFT OUTER join. + _""" + all_paths = [] + for _, paths in names_with_path: + all_paths.extend(paths) + contains_louter = False + for pos, path in enumerate(all_paths): + if path.m2m: + break + if self.alias_map[self.tables[pos + 1]].join_type == self.LOUTER: + contains_louter = True + self.unref_alias(self.tables[pos]) + # The path.join_field is a Rel, lets get the other side's field + join_field = path.join_field.field + # Build the filter prefix. + trimmed_prefix = [] + paths_in_prefix = pos + for name, path in names_with_path: + if paths_in_prefix - len(path) < 0: + break + trimmed_prefix.append(name) + paths_in_prefix -= len(path) + trimmed_prefix.append( + join_field.foreign_related_fields[0].name) + trimmed_prefix = LOOKUP_SEP.join(trimmed_prefix) + # Lets still see if we can trim the first join from the inner query + # (that is, self). We can't do this for LEFT JOINs because we would + # miss those rows that have nothing on the outer side. + if self.alias_map[self.tables[pos + 1]].join_type != self.LOUTER: + select_fields = [r[0] for r in join_field.related_fields] + select_alias = self.tables[pos + 1] + self.unref_alias(self.tables[pos]) + extra_restriction = join_field.get_extra_restriction( + self.where_class, None, self.tables[pos + 1]) + if extra_restriction: + self.where.add(extra_restriction, AND) + else: + # TODO: It might be possible to trim more joins from the start of the + # inner query if it happens to have a longer join chain containing the + # values in select_fields. Lets punt this one for now. + select_fields = [r[1] for r in join_field.related_fields] + select_alias = self.tables[pos] + self.select = [SelectInfo((select_alias, f.column), f) for f in select_fields] + return trimmed_prefix, contains_louter + + def is_nullable(self, field): + """ + A helper to check if the given field should be treated as nullable. + + Some backends treat '' as null and Django treats such fields as + nullable for those backends. In such situations field.null can be + False even if we should treat the field as nullable. + """ + # We need to use DEFAULT_DB_ALIAS here, as QuerySet does not have + # (nor should it have) knowledge of which connection is going to be + # used. The proper fix would be to defer all decisions where + # is_nullable() is needed to the compiler stage, but that is not easy + # to do currently. + if ((connections[DEFAULT_DB_ALIAS].features.interprets_empty_strings_as_nulls) + and field.empty_strings_allowed): + return True + else: + return field.null + +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 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 is_reverse_o2o(field): + """ + A little helper to check if the given field is reverse-o2o. The field is + expected to be some sort of relation field or related object. + """ + return not hasattr(field, 'rel') and field.field.unique + +def alias_diff(refcounts_before, refcounts_after): + """ + Given the before and after copies of refcounts works out which aliases + have been added to the after copy. + """ + # Use -1 as default value so that any join that is created, then trimmed + # is seen as added. + return set(t for t in refcounts_after + if refcounts_after[t] > refcounts_before.get(t, -1)) |