def order_property_names(query): """ Generates a list of relevant order properties from the query. Returns: A set of Property objects. """ filters, orders = datastore_index.Normalize(query.filter_list(), query.order_list(), []) orders = _GuessOrders(filters, orders) return set(order.property() for order in orders if order.property() != '__key__')
def _Dynamic_RunQuery(self, query, query_result, request_id=None): """Send a query request to the datastore server. """ if query.has_transaction(): if not query.has_ancestor(): raise apiproxy_errors.ApplicationError( datastore_pb.Error.BAD_REQUEST, 'Only ancestor queries are allowed inside transactions.') (filters, orders) = datastore_index.Normalize(query.filter_list(), query.order_list(), []) old_datastore_stub_util.FillUsersInQuery(filters) if not query.has_app(): query.set_app(self.__app_id) self.__ValidateAppId(query.app()) # Set the composite index if it applies. indexes = [] if query.has_kind(): kind_indexes = self.__index_cache.get(query.kind()) if kind_indexes: indexes.extend(kind_indexes) index_to_use = _FindIndexToUse(query, indexes) if index_to_use != None: new_index = query.add_composite_index() new_index.MergeFrom(index_to_use) self._RemoteSend(query, query_result, "RunQuery", request_id) results = query_result.result_list() for result in results: old_datastore_stub_util.PrepareSpecialPropertiesForLoad(result) last_cursor = None if query_result.has_compiled_cursor(): last_cursor = query_result.compiled_cursor() if query_result.more_results(): new_cursor = InternalCursor(query, last_cursor, len(results)) cursor_id = self.__getCursorID() cursor = query_result.mutable_cursor() cursor.set_app(self.__app_id) cursor.set_cursor(cursor_id) self.__queries[cursor_id] = new_cursor if query.compile(): compiled_query = query_result.mutable_compiled_query() compiled_query.set_keys_only(query.keys_only()) compiled_query.mutable_primaryscan().set_index_name(query.Encode())
def _Dynamic_RunQuery(self, query, query_result): if query.has_transaction(): self.__ValidateTransaction(query.transaction()) if not query.has_ancestor(): raise apiproxy_errors.ApplicationError( datastore_pb.Error.BAD_REQUEST, 'Only ancestor queries are allowed inside transactions.') entities = self.__tx_snapshot else: entities = self.__entities app_id = query.app() namespace = query.name_space() self.__ValidateAppId(app_id) if query.has_offset() and query.offset() > _MAX_QUERY_OFFSET: raise apiproxy_errors.ApplicationError( datastore_pb.Error.BAD_REQUEST, 'Too big query offset.') num_components = len(query.filter_list()) + len(query.order_list()) if query.has_ancestor(): num_components += 1 if num_components > _MAX_QUERY_COMPONENTS: raise apiproxy_errors.ApplicationError( datastore_pb.Error.BAD_REQUEST, ('query is too large. may not have more than %s filters' ' + sort orders ancestor total' % _MAX_QUERY_COMPONENTS)) (filters, orders) = datastore_index.Normalize(query.filter_list(), query.order_list()) if self.__require_indexes: required, kind, ancestor, props, num_eq_filters = datastore_index.CompositeIndexForQuery(query) if required: required_key = kind, ancestor, props indexes = self.__indexes.get(app_id) if not indexes: raise apiproxy_errors.ApplicationError( datastore_pb.Error.NEED_INDEX, "This query requires a composite index, but none are defined. " "You must create an index.yaml file in your application root.") eq_filters_set = set(props[:num_eq_filters]) remaining_filters = props[num_eq_filters:] for index in indexes: definition = datastore_index.ProtoToIndexDefinition(index) index_key = datastore_index.IndexToKey(definition) if required_key == index_key: break if num_eq_filters > 1 and (kind, ancestor) == index_key[:2]: this_props = index_key[2] this_eq_filters_set = set(this_props[:num_eq_filters]) this_remaining_filters = this_props[num_eq_filters:] if (eq_filters_set == this_eq_filters_set and remaining_filters == this_remaining_filters): break else: raise apiproxy_errors.ApplicationError( datastore_pb.Error.NEED_INDEX, "This query requires a composite index that is not defined. " "You must update the index.yaml file in your application root.") try: query.set_app(app_id) datastore_types.SetNamespace(query, namespace) encoded = datastore_types.EncodeAppIdNamespace(app_id, namespace) if query.has_kind(): results = entities[encoded, query.kind()].values() results = [entity.native for entity in results] else: results = [] for key in entities: if key[0] == encoded: results += [entity.native for entity in entities[key].values()] except KeyError: results = [] if query.has_ancestor(): ancestor_path = query.ancestor().path().element_list() def is_descendant(entity): path = entity.key()._Key__reference.path().element_list() return path[:len(ancestor_path)] == ancestor_path results = filter(is_descendant, results) operators = {datastore_pb.Query_Filter.LESS_THAN: '<', datastore_pb.Query_Filter.LESS_THAN_OR_EQUAL: '<=', datastore_pb.Query_Filter.GREATER_THAN: '>', datastore_pb.Query_Filter.GREATER_THAN_OR_EQUAL: '>=', datastore_pb.Query_Filter.EQUAL: '==', } def has_prop_indexed(entity, prop): """Returns True if prop is in the entity and is indexed.""" if prop in datastore_types._SPECIAL_PROPERTIES: return True elif prop in entity.unindexed_properties(): return False values = entity.get(prop, []) if not isinstance(values, (tuple, list)): values = [values] for value in values: if type(value) not in datastore_types._RAW_PROPERTY_TYPES: return True return False for filt in filters: assert filt.op() != datastore_pb.Query_Filter.IN prop = filt.property(0).name().decode('utf-8') op = operators[filt.op()] filter_val_list = [datastore_types.FromPropertyPb(filter_prop) for filter_prop in filt.property_list()] def passes_filter(entity): """Returns True if the entity passes the filter, False otherwise. The filter being evaluated is filt, the current filter that we're on in the list of filters in the query. """ if not has_prop_indexed(entity, prop): return False try: entity_vals = datastore._GetPropertyValue(entity, prop) except KeyError: entity_vals = [] if not isinstance(entity_vals, list): entity_vals = [entity_vals] for fixed_entity_val in entity_vals: for filter_val in filter_val_list: fixed_entity_type = self._PROPERTY_TYPE_TAGS.get( fixed_entity_val.__class__) filter_type = self._PROPERTY_TYPE_TAGS.get(filter_val.__class__) if fixed_entity_type == filter_type: comp = u'%r %s %r' % (fixed_entity_val, op, filter_val) elif op != '==': comp = '%r %s %r' % (fixed_entity_type, op, filter_type) else: continue logging.log(logging.DEBUG - 1, 'Evaling filter expression "%s"', comp) try: ret = eval(comp) if ret and ret != NotImplementedError: return True except TypeError: pass return False results = filter(passes_filter, results) for order in orders: prop = order.property().decode('utf-8') results = [entity for entity in results if has_prop_indexed(entity, prop)] def order_compare_entities(a, b): """ Return a negative, zero or positive number depending on whether entity a is considered smaller than, equal to, or larger than b, according to the query's orderings. """ cmped = 0 for o in orders: prop = o.property().decode('utf-8') reverse = (o.direction() is datastore_pb.Query_Order.DESCENDING) a_val = datastore._GetPropertyValue(a, prop) if isinstance(a_val, list): a_val = sorted(a_val, order_compare_properties, reverse=reverse)[0] b_val = datastore._GetPropertyValue(b, prop) if isinstance(b_val, list): b_val = sorted(b_val, order_compare_properties, reverse=reverse)[0] cmped = order_compare_properties(a_val, b_val) if o.direction() is datastore_pb.Query_Order.DESCENDING: cmped = -cmped if cmped != 0: return cmped if cmped == 0: return cmp(a.key(), b.key()) def order_compare_properties(x, y): """Return a negative, zero or positive number depending on whether property value x is considered smaller than, equal to, or larger than property value y. If x and y are different types, they're compared based on the type ordering used in the real datastore, which is based on the tag numbers in the PropertyValue PB. """ if isinstance(x, datetime.datetime): x = datastore_types.DatetimeToTimestamp(x) if isinstance(y, datetime.datetime): y = datastore_types.DatetimeToTimestamp(y) x_type = self._PROPERTY_TYPE_TAGS.get(x.__class__) y_type = self._PROPERTY_TYPE_TAGS.get(y.__class__) if x_type == y_type: try: return cmp(x, y) except TypeError: return 0 else: return cmp(x_type, y_type) results.sort(order_compare_entities) clone = datastore_pb.Query() clone.CopyFrom(query) clone.clear_hint() if clone in self.__query_history: self.__query_history[clone] += 1 else: self.__query_history[clone] = 1 cursor = _Cursor(query, results, order_compare_entities) self.__queries[cursor.cursor] = cursor if query.has_count(): count = query.count() elif query.has_limit(): count = query.limit() else: count = _BATCH_SIZE cursor.PopulateQueryResult(query_result, count, compile=query.compile()) if query.compile(): compiled_query = query_result.mutable_compiled_query() compiled_query.set_keys_only(query.keys_only()) compiled_query.mutable_primaryscan().set_index_name(query.Encode())
def _Dynamic_RunQuery(self, query, query_result): """Send a query request to the datastore server. """ if query.has_transaction(): if not query.has_ancestor(): raise apiproxy_errors.ApplicationError( datastore_pb.Error.BAD_REQUEST, 'Only ancestor queries are allowed inside transactions.') (filters, orders) = datastore_index.Normalize(query.filter_list(), query.order_list(), []) old_datastore_stub_util.FillUsersInQuery(filters) query_response = datastore_pb.QueryResult() if not query.has_app(): query.set_app(self.__app_id) self.__ValidateAppId(query.app()) self._RemoteSend(query, query_response, "RunQuery") skipped_results = 0 if query_response.has_skipped_results(): skipped_results = query_response.skipped_results() def has_prop_indexed(entity, prop): """Returns True if prop is in the entity and is indexed.""" if prop in datastore_types._SPECIAL_PROPERTIES: return True elif prop in entity.unindexed_properties(): return False values = entity.get(prop, []) if not isinstance(values, (tuple, list)): values = [values] for value in values: if type(value) not in datastore_types._RAW_PROPERTY_TYPES: return True return False def order_compare_entities(a, b): """ Return a negative, zero or positive number depending on whether entity a is considered smaller than, equal to, or larger than b, according to the query's orderings. """ cmped = 0 for o in orders: prop = o.property().decode('utf-8') reverse = (o.direction() is datastore_pb.Query_Order.DESCENDING) a_val = datastore._GetPropertyValue(a, prop) if isinstance(a_val, list): a_val = sorted(a_val, order_compare_properties, reverse=reverse)[0] b_val = datastore._GetPropertyValue(b, prop) if isinstance(b_val, list): b_val = sorted(b_val, order_compare_properties, reverse=reverse)[0] cmped = order_compare_properties(a_val, b_val) if o.direction() is datastore_pb.Query_Order.DESCENDING: cmped = -cmped if cmped != 0: return cmped if cmped == 0: return cmp(a.key(), b.key()) def order_compare_entities_pb(a, b): """ Return a negative, zero or positive number depending on whether entity a is considered smaller than, equal to, or larger than b, according to the query's orderings. a and b are protobuf-encoded entities.""" return order_compare_entities(datastore.Entity.FromPb(a), datastore.Entity.FromPb(b)) def order_compare_properties(x, y): """Return a negative, zero or positive number depending on whether property value x is considered smaller than, equal to, or larger than property value y. If x and y are different types, they're compared based on the type ordering used in the real datastore, which is based on the tag numbers in the PropertyValue PB. """ if isinstance(x, datetime.datetime): x = datastore_types.DatetimeToTimestamp(x) if isinstance(y, datetime.datetime): y = datastore_types.DatetimeToTimestamp(y) x_type = self._PROPERTY_TYPE_TAGS.get(x.__class__) y_type = self._PROPERTY_TYPE_TAGS.get(y.__class__) if x_type == y_type: try: return cmp(x, y) except TypeError: return 0 else: return cmp(x_type, y_type) results = query_response.result_list() for result in results: old_datastore_stub_util.PrepareSpecialPropertiesForLoad(result) old_datastore_stub_util.ValidateQuery(query, filters, orders, _MAX_QUERY_COMPONENTS) cursor = old_datastore_stub_util.ListCursor(query, results, order_compare_entities_pb) self.__cleanup_old_cursors() self.__queries[cursor.cursor] = cursor, datetime.datetime.now() if query.has_count(): count = query.count() elif query.has_limit(): count = query.limit() else: count = _BATCH_SIZE cursor.PopulateQueryResult(query_result, count, query.offset(), compile=query.compile()) query_result.set_skipped_results(skipped_results) if query.compile(): compiled_query = query_result.mutable_compiled_query() compiled_query.set_keys_only(query.keys_only()) compiled_query.mutable_primaryscan().set_index_name(query.Encode())
def _Dynamic_RunQuery(self, query, query_result): if query.has_transaction(): if not query.has_ancestor(): raise apiproxy_errors.ApplicationError( datastore_pb.Error.BAD_REQUEST, 'Only ancestor queries are allowed inside transactions.') (filters, orders) = datastore_index.Normalize(query.filter_list(), query.order_list()) datastore_stub_util.FillUsersInQuery(filters) query_response = datastore_pb.QueryResult() query.set_app(self.__app_id) self._RemoteSend(query, query_response, "RunQuery") results = query_response.result_list() results = [datastore.Entity._FromPb(r) for r in results] if query.has_ancestor(): ancestor_path = query.ancestor().path().element_list() def is_descendant(entity): path = entity.key()._Key__reference.path().element_list() return path[:len(ancestor_path)] == ancestor_path results = filter(is_descendant, results) operators = { datastore_pb.Query_Filter.LESS_THAN: '<', datastore_pb.Query_Filter.LESS_THAN_OR_EQUAL: '<=', datastore_pb.Query_Filter.GREATER_THAN: '>', datastore_pb.Query_Filter.GREATER_THAN_OR_EQUAL: '>=', datastore_pb.Query_Filter.EQUAL: '==', } def has_prop_indexed(entity, prop): """Returns True if prop is in the entity and is indexed.""" if prop in datastore_types._SPECIAL_PROPERTIES: return True elif prop in entity.unindexed_properties(): return False values = entity.get(prop, []) if not isinstance(values, (tuple, list)): values = [values] for value in values: if type(value) not in datastore_types._RAW_PROPERTY_TYPES: return True return False for filt in filters: assert filt.op() != datastore_pb.Query_Filter.IN prop = filt.property(0).name().decode('utf-8') op = operators[filt.op()] filter_val_list = [ datastore_types.FromPropertyPb(filter_prop) for filter_prop in filt.property_list() ] for order in orders: prop = order.property().decode('utf-8') results = [ entity for entity in results if has_prop_indexed(entity, prop) ] def order_compare_entities(a, b): """ Return a negative, zero or positive number depending on whether entity a is considered smaller than, equal to, or larger than b, according to the query's orderings. """ cmped = 0 for o in orders: prop = o.property().decode('utf-8') reverse = (o.direction() is datastore_pb.Query_Order.DESCENDING) a_val = datastore._GetPropertyValue(a, prop) if isinstance(a_val, list): a_val = sorted(a_val, order_compare_properties, reverse=reverse)[0] b_val = datastore._GetPropertyValue(b, prop) if isinstance(b_val, list): b_val = sorted(b_val, order_compare_properties, reverse=reverse)[0] cmped = order_compare_properties(a_val, b_val) if o.direction() is datastore_pb.Query_Order.DESCENDING: cmped = -cmped if cmped != 0: return cmped if cmped == 0: return cmp(a.key(), b.key()) def order_compare_entities_pb(a, b): """ Return a negative, zero or positive number depending on whether entity a is considered smaller than, equal to, or larger than b, according to the query's orderings. a and b are protobuf-encoded entities.""" return order_compare_entities(datastore.Entity.FromPb(a), datastore.Entity.FromPb(b)) def order_compare_properties(x, y): """Return a negative, zero or positive number depending on whether property value x is considered smaller than, equal to, or larger than property value y. If x and y are different types, they're compared based on the type ordering used in the real datastore, which is based on the tag numbers in the PropertyValue PB. """ if isinstance(x, datetime.datetime): x = datastore_types.DatetimeToTimestamp(x) if isinstance(y, datetime.datetime): y = datastore_types.DatetimeToTimestamp(y) x_type = self._PROPERTY_TYPE_TAGS.get(x.__class__) y_type = self._PROPERTY_TYPE_TAGS.get(y.__class__) if x_type == y_type: try: return cmp(x, y) except TypeError: return 0 else: return cmp(x_type, y_type) results.sort(order_compare_entities) clone = datastore_pb.Query() clone.CopyFrom(query) clone.clear_hint() clone.clear_limit() clone.clear_offset() #if clone in self.__query_history: # self.__query_history[clone] += 1 #else: # self.__query_history[clone] = 1 results = [r._ToPb() for r in results] for result in results: datastore_stub_util.PrepareSpecialPropertiesForLoad(result) datastore_stub_util.ValidateQuery(query, filters, orders, _MAX_QUERY_COMPONENTS) cursor = datastore_stub_util.ListCursor(query, results, order_compare_entities_pb) self.__queries[cursor.cursor] = cursor if query.has_count(): count = query.count() elif query.has_limit(): count = query.limit() else: count = _BATCH_SIZE cursor.PopulateQueryResult(query_result, count, query.offset(), compile=query.compile()) if query.compile(): compiled_query = query_result.mutable_compiled_query() compiled_query.set_keys_only(query.keys_only()) compiled_query.mutable_primaryscan().set_index_name(query.Encode())