author | Pawel Solyga <Pawel.Solyga@gmail.com> |
Sun, 30 Nov 2008 16:46:32 +0000 | |
changeset 628 | 6685c7b56d50 |
parent 323 | ff1a9aa48cfd |
permissions | -rw-r--r-- |
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""" |
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Query subclasses which provide extra functionality beyond simple data retrieval. |
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""" |
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|
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from django.core.exceptions import FieldError |
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from django.db.models.sql.constants import * |
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from django.db.models.sql.datastructures import Date |
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from django.db.models.sql.query import Query |
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from django.db.models.sql.where import AND |
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|
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__all__ = ['DeleteQuery', 'UpdateQuery', 'InsertQuery', 'DateQuery', |
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'CountQuery'] |
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|
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class DeleteQuery(Query): |
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""" |
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Delete queries are done through this class, since they are more constrained |
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than general queries. |
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""" |
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def as_sql(self): |
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""" |
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Creates the SQL for this query. Returns the SQL string and list of |
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parameters. |
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""" |
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assert len(self.tables) == 1, \ |
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"Can only delete from one table at a time." |
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result = ['DELETE FROM %s' % self.quote_name_unless_alias(self.tables[0])] |
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where, params = self.where.as_sql() |
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result.append('WHERE %s' % where) |
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return ' '.join(result), tuple(params) |
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|
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def do_query(self, table, where): |
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self.tables = [table] |
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self.where = where |
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self.execute_sql(None) |
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|
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def delete_batch_related(self, pk_list): |
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""" |
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Set up and execute delete queries for all the objects related to the |
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primary key values in pk_list. To delete the objects themselves, use |
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the delete_batch() method. |
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|
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More than one physical query may be executed if there are a |
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lot of values in pk_list. |
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""" |
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from django.contrib.contenttypes import generic |
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cls = self.model |
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for related in cls._meta.get_all_related_many_to_many_objects(): |
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if not isinstance(related.field, generic.GenericRelation): |
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for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE): |
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where = self.where_class() |
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where.add((None, related.field.m2m_reverse_name(), |
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related.field, 'in', |
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pk_list[offset : offset+GET_ITERATOR_CHUNK_SIZE]), |
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AND) |
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self.do_query(related.field.m2m_db_table(), where) |
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|
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for f in cls._meta.many_to_many: |
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w1 = self.where_class() |
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if isinstance(f, generic.GenericRelation): |
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from django.contrib.contenttypes.models import ContentType |
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field = f.rel.to._meta.get_field(f.content_type_field_name) |
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w1.add((None, field.column, field, 'exact', |
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ContentType.objects.get_for_model(cls).id), AND) |
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for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE): |
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where = self.where_class() |
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where.add((None, f.m2m_column_name(), f, 'in', |
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pk_list[offset : offset + GET_ITERATOR_CHUNK_SIZE]), |
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AND) |
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if w1: |
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where.add(w1, AND) |
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self.do_query(f.m2m_db_table(), where) |
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|
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def delete_batch(self, pk_list): |
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""" |
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Set up and execute delete queries for all the objects in pk_list. This |
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should be called after delete_batch_related(), if necessary. |
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|
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More than one physical query may be executed if there are a |
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lot of values in pk_list. |
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""" |
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for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE): |
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where = self.where_class() |
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field = self.model._meta.pk |
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where.add((None, field.column, field, 'in', |
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pk_list[offset : offset + GET_ITERATOR_CHUNK_SIZE]), AND) |
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self.do_query(self.model._meta.db_table, where) |
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|
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class UpdateQuery(Query): |
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""" |
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Represents an "update" SQL query. |
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""" |
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def __init__(self, *args, **kwargs): |
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super(UpdateQuery, self).__init__(*args, **kwargs) |
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self._setup_query() |
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|
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def _setup_query(self): |
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""" |
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Runs on initialization and after cloning. Any attributes that would |
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normally be set in __init__ should go in here, instead, so that they |
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are also set up after a clone() call. |
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""" |
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self.values = [] |
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self.related_ids = None |
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if not hasattr(self, 'related_updates'): |
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self.related_updates = {} |
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|
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def clone(self, klass=None, **kwargs): |
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return super(UpdateQuery, self).clone(klass, |
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related_updates=self.related_updates.copy(), **kwargs) |
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|
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def execute_sql(self, result_type=None): |
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""" |
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Execute the specified update. Returns the number of rows affected by |
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114 |
the primary update query (there could be other updates on related |
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115 |
tables, but their rowcounts are not returned). |
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116 |
""" |
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117 |
cursor = super(UpdateQuery, self).execute_sql(result_type) |
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rows = cursor.rowcount |
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119 |
del cursor |
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120 |
for query in self.get_related_updates(): |
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121 |
query.execute_sql(result_type) |
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122 |
return rows |
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123 |
|
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124 |
def as_sql(self): |
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125 |
""" |
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Creates the SQL for this query. Returns the SQL string and list of |
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127 |
parameters. |
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128 |
""" |
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self.pre_sql_setup() |
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130 |
if not self.values: |
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131 |
return '', () |
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132 |
table = self.tables[0] |
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133 |
qn = self.quote_name_unless_alias |
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result = ['UPDATE %s' % qn(table)] |
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result.append('SET') |
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136 |
values, update_params = [], [] |
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137 |
for name, val, placeholder in self.values: |
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138 |
if 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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141 |
else: |
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values.append('%s = NULL' % qn(name)) |
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result.append(', '.join(values)) |
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144 |
where, params = self.where.as_sql() |
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145 |
if where: |
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146 |
result.append('WHERE %s' % where) |
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147 |
return ' '.join(result), tuple(update_params + params) |
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148 |
|
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149 |
def pre_sql_setup(self): |
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150 |
""" |
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151 |
If the update depends on results from other tables, we need to do some |
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152 |
munging of the "where" conditions to match the format required for |
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153 |
(portable) SQL updates. That is done here. |
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154 |
|
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155 |
Further, if we are going to be running multiple updates, we pull out |
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156 |
the id values to update at this point so that they don't change as a |
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157 |
result of the progressive updates. |
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158 |
""" |
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159 |
self.select_related = False |
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160 |
self.clear_ordering(True) |
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161 |
super(UpdateQuery, self).pre_sql_setup() |
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162 |
count = self.count_active_tables() |
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163 |
if not self.related_updates and count == 1: |
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164 |
return |
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165 |
|
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166 |
# We need to use a sub-select in the where clause to filter on things |
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167 |
# from other tables. |
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168 |
query = self.clone(klass=Query) |
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169 |
query.bump_prefix() |
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170 |
query.extra_select = {} |
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171 |
first_table = query.tables[0] |
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172 |
if query.alias_refcount[first_table] == 1: |
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173 |
# We can remove one table from the inner query. |
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174 |
query.unref_alias(first_table) |
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175 |
for i in xrange(1, len(query.tables)): |
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176 |
table = query.tables[i] |
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177 |
if query.alias_refcount[table]: |
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178 |
break |
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179 |
join_info = query.alias_map[table] |
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query.select = [(join_info[RHS_ALIAS], join_info[RHS_JOIN_COL])] |
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181 |
must_pre_select = False |
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182 |
else: |
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183 |
query.select = [] |
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184 |
query.add_fields([query.model._meta.pk.name]) |
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185 |
must_pre_select = not self.connection.features.update_can_self_select |
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186 |
|
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187 |
# Now we adjust the current query: reset the where clause and get rid |
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188 |
# of all the tables we don't need (since they're in the sub-select). |
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189 |
self.where = self.where_class() |
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190 |
if self.related_updates or must_pre_select: |
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191 |
# Either we're using the idents in multiple update queries (so |
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192 |
# don't want them to change), or the db backend doesn't support |
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193 |
# selecting from the updating table (e.g. MySQL). |
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194 |
idents = [] |
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195 |
for rows in query.execute_sql(MULTI): |
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196 |
idents.extend([r[0] for r in rows]) |
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197 |
self.add_filter(('pk__in', idents)) |
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198 |
self.related_ids = idents |
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199 |
else: |
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200 |
# The fast path. Filters and updates in one query. |
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201 |
self.add_filter(('pk__in', query)) |
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202 |
for alias in self.tables[1:]: |
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203 |
self.alias_refcount[alias] = 0 |
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204 |
|
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205 |
def clear_related(self, related_field, pk_list): |
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206 |
""" |
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207 |
Set up and execute an update query that clears related entries for the |
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208 |
keys in pk_list. |
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209 |
|
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This is used by the QuerySet.delete_objects() method. |
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211 |
""" |
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212 |
for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE): |
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213 |
self.where = self.where_class() |
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214 |
f = self.model._meta.pk |
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215 |
self.where.add((None, f.column, f, 'in', |
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216 |
pk_list[offset : offset + GET_ITERATOR_CHUNK_SIZE]), |
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217 |
AND) |
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218 |
self.values = [(related_field.column, None, '%s')] |
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219 |
self.execute_sql(None) |
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220 |
|
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221 |
def add_update_values(self, values): |
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222 |
""" |
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223 |
Convert a dictionary of field name to value mappings into an update |
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224 |
query. This is the entry point for the public update() method on |
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225 |
querysets. |
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226 |
""" |
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values_seq = [] |
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for name, val in values.iteritems(): |
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field, model, direct, m2m = self.model._meta.get_field_by_name(name) |
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if not direct or m2m: |
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raise FieldError('Cannot update model field %r (only non-relations and foreign keys permitted).' % field) |
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values_seq.append((field, model, val)) |
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return self.add_update_fields(values_seq) |
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|
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def add_update_fields(self, values_seq): |
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""" |
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Turn a sequence of (field, model, value) triples into an update query. |
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Used by add_update_values() as well as the "fast" update path when |
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saving models. |
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""" |
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from django.db.models.base import Model |
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for field, model, val in values_seq: |
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# FIXME: Some sort of db_prep_* is probably more appropriate here. |
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if field.rel and isinstance(val, Model): |
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val = val.pk |
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|
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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) |
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else: |
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placeholder = '%s' |
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|
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if model: |
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self.add_related_update(model, field.column, val, placeholder) |
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else: |
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self.values.append((field.column, val, placeholder)) |
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257 |
|
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def add_related_update(self, model, column, value, placeholder): |
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""" |
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Adds (name, value) to an update query for an ancestor model. |
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261 |
|
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Updates are coalesced so that we only run one update query per ancestor. |
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""" |
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try: |
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self.related_updates[model].append((column, value, placeholder)) |
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except KeyError: |
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self.related_updates[model] = [(column, value, placeholder)] |
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|
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def get_related_updates(self): |
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""" |
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Returns a list of query objects: one for each update required to an |
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ancestor model. Each query will have the same filtering conditions as |
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the current query but will only update a single table. |
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""" |
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if not self.related_updates: |
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return [] |
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result = [] |
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for model, values in self.related_updates.iteritems(): |
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query = UpdateQuery(model, self.connection) |
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query.values = values |
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if self.related_ids: |
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query.add_filter(('pk__in', self.related_ids)) |
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result.append(query) |
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return result |
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|
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class InsertQuery(Query): |
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def __init__(self, *args, **kwargs): |
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super(InsertQuery, self).__init__(*args, **kwargs) |
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self.columns = [] |
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self.values = [] |
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self.params = () |
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|
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def clone(self, klass=None, **kwargs): |
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extras = {'columns': self.columns[:], 'values': self.values[:], |
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'params': self.params} |
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extras.update(kwargs) |
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return super(InsertQuery, self).clone(klass, **extras) |
54
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298 |
|
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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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result = ['INSERT INTO %s' % qn(self.model._meta.db_table)] |
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result.append('(%s)' % ', '.join([qn(c) for c in self.columns])) |
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result.append('VALUES (%s)' % ', '.join(self.values)) |
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return ' '.join(result), self.params |
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307 |
|
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def execute_sql(self, return_id=False): |
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cursor = super(InsertQuery, self).execute_sql(None) |
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if return_id: |
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return self.connection.ops.last_insert_id(cursor, |
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self.model._meta.db_table, self.model._meta.pk.column) |
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313 |
|
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def insert_values(self, insert_values, raw_values=False): |
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""" |
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Set up the insert query from the 'insert_values' dictionary. The |
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dictionary gives the model field names and their target values. |
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318 |
|
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If 'raw_values' is True, the values in the 'insert_values' dictionary |
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are inserted directly into the query, rather than passed as SQL |
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parameters. This provides a way to insert NULL and DEFAULT keywords |
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into the query, for example. |
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323 |
""" |
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placeholders, values = [], [] |
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for field, val in insert_values: |
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326 |
if 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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329 |
placeholders.append(field.get_placeholder(val)) |
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330 |
else: |
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placeholders.append('%s') |
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332 |
|
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self.columns.append(field.column) |
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values.append(val) |
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if raw_values: |
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336 |
self.values.extend(values) |
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337 |
else: |
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self.params += tuple(values) |
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self.values.extend(placeholders) |
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340 |
|
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341 |
class DateQuery(Query): |
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342 |
""" |
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343 |
A DateQuery is a normal query, except that it specifically selects a single |
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344 |
date field. This requires some special handling when converting the results |
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345 |
back to Python objects, so we put it in a separate class. |
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346 |
""" |
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347 |
def __getstate__(self): |
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348 |
""" |
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349 |
Special DateQuery-specific pickle handling. |
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350 |
""" |
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351 |
for elt in self.select: |
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352 |
if isinstance(elt, Date): |
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353 |
# Eliminate a method reference that can't be pickled. The |
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354 |
# __setstate__ method restores this. |
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355 |
elt.date_sql_func = None |
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356 |
return super(DateQuery, self).__getstate__() |
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357 |
|
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358 |
def __setstate__(self, obj_dict): |
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359 |
super(DateQuery, self).__setstate__(obj_dict) |
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360 |
for elt in self.select: |
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361 |
if isinstance(elt, Date): |
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362 |
self.date_sql_func = self.connection.ops.date_trunc_sql |
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363 |
|
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364 |
def results_iter(self): |
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365 |
""" |
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366 |
Returns an iterator over the results from executing this query. |
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367 |
""" |
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resolve_columns = hasattr(self, 'resolve_columns') |
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369 |
if resolve_columns: |
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370 |
from django.db.models.fields import DateTimeField |
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371 |
fields = [DateTimeField()] |
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372 |
else: |
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373 |
from django.db.backends.util import typecast_timestamp |
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374 |
needs_string_cast = self.connection.features.needs_datetime_string_cast |
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375 |
|
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376 |
offset = len(self.extra_select) |
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377 |
for rows in self.execute_sql(MULTI): |
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378 |
for row in rows: |
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379 |
date = row[offset] |
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380 |
if resolve_columns: |
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381 |
date = self.resolve_columns(row, fields)[offset] |
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382 |
elif needs_string_cast: |
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383 |
date = typecast_timestamp(str(date)) |
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384 |
yield date |
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385 |
|
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386 |
def add_date_select(self, field, lookup_type, order='ASC'): |
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387 |
""" |
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388 |
Converts the query into a date extraction query. |
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389 |
""" |
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390 |
result = self.setup_joins([field.name], self.get_meta(), |
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391 |
self.get_initial_alias(), False) |
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392 |
alias = result[3][-1] |
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393 |
select = Date((alias, field.column), lookup_type, |
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394 |
self.connection.ops.date_trunc_sql) |
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395 |
self.select = [select] |
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396 |
self.select_fields = [None] |
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397 |
self.select_related = False # See #7097. |
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398 |
self.extra_select = {} |
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399 |
self.distinct = True |
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400 |
self.order_by = order == 'ASC' and [1] or [-1] |
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401 |
|
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402 |
class CountQuery(Query): |
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403 |
""" |
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404 |
A CountQuery knows how to take a normal query which would select over |
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405 |
multiple distinct columns and turn it into SQL that can be used on a |
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406 |
variety of backends (it requires a select in the FROM clause). |
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|
407 |
""" |
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408 |
def get_from_clause(self): |
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409 |
result, params = self._query.as_sql() |
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410 |
return ['(%s) A1' % result], params |
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411 |
|
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412 |
def get_ordering(self): |
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413 |
return () |