# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from cassandra.parsing cimport ParseDesc, ColumnParser from cassandra.policies import ColDesc from cassandra.obj_parser import TupleRowParser from cassandra.deserializers import make_deserializers include "ioutils.pyx" def make_recv_results_rows(ColumnParser colparser): def recv_results_rows(self, f, int protocol_version, user_type_map, result_metadata, column_encryption_policy): """ Parse protocol data given as a BytesIO f into a set of columns (e.g. list of tuples) This is used as the recv_results_rows method of (Fast)ResultMessage """ self.recv_results_metadata(f, user_type_map) column_metadata = self.column_metadata or result_metadata self.column_names = [md[2] for md in column_metadata] self.column_types = [md[3] for md in column_metadata] desc = ParseDesc(self.column_names, self.column_types, column_encryption_policy, [ColDesc(md[0], md[1], md[2]) for md in column_metadata], make_deserializers(self.column_types), protocol_version) reader = BytesIOReader(f.read()) try: self.parsed_rows = colparser.parse_rows(reader, desc) except Exception as e: # Use explicitly the TupleRowParser to display better error messages for column decoding failures rowparser = TupleRowParser() reader.buf_ptr = reader.buf reader.pos = 0 rowcount = read_int(reader) for i in range(rowcount): rowparser.unpack_row(reader, desc) return recv_results_rows