#!/bin/env python # -*- coding: utf-8 -*- # 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. ############################################################################ # # @file test_sys_precision.py # @date 2015/02/04 15:26:21 # @brief This file is a test file for palo data loading and verifying. # ############################################################################# """ 测试数据精度 """ import time from data import precision as DATA from lib import palo_config from lib import palo_client from lib import util config = palo_config.config LOG = palo_client.LOG L = palo_client.L broker_info = palo_config.broker_info def setup_module(): """ setUp """ global client client = palo_client.get_client(config.fe_host, config.fe_query_port, user=config.fe_user, password=config.fe_password, http_port=config.fe_http_port) def test_float_precision(): """ { "title": "test_sys_precision.test_float_precision", "describe": "测试float数据类型的精度", "tag": "function,p1" } """ """ 测试float数据类型的精度 """ database_name, table_name, index_name = util.gen_num_format_name_list() LOG.info(L('', database_name=database_name, \ table_name=table_name, index_name=index_name)) client.clean(database_name) client.create_database(database_name) client.create_table(table_name, DATA.schema_1, keys_desc='AGGREGATE KEY (K1)') time.sleep(1) assert client.show_tables(table_name) assert client.get_index(table_name) data_desc_list = palo_client.LoadDataInfo(DATA.file_path, table_name) ret = client.batch_load(util.get_label(), data_desc_list, is_wait=True, broker=broker_info) assert ret ret = client.verify(DATA.expected_data_file_list, table_name) assert ret client.clean(database_name) def test_double_precision(): """ { "title": "test_sys_precision.test_double_precision", "describe": "测试double数据类型的精度", "tag": "function,p1" } """ """ 测试double数据类型的精度 """ database_name, table_name, index_name = util.gen_num_format_name_list() LOG.info(L('', database_name=database_name, \ table_name=table_name, index_name=index_name)) client.clean(database_name) client.create_database(database_name) client.create_table(table_name, DATA.schema_2, keys_desc='AGGREGATE KEY (K1)') time.sleep(1) assert client.show_tables(table_name) assert client.get_index(table_name) data_desc_list = palo_client.LoadDataInfo(DATA.file_path, table_name) ret = client.batch_load(util.get_label(), data_desc_list, is_wait=True, broker=broker_info) assert ret ret = client.verify(DATA.expected_data_file_list, table_name) assert ret client.clean(database_name)