118 lines
3.5 KiB
Python
118 lines
3.5 KiB
Python
#!/bin/env python
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# -*- coding: utf-8 -*-
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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############################################################################
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#
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# @file test_sys_precision.py
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# @date 2015/02/04 15:26:21
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# @brief This file is a test file for palo data loading and verifying.
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#
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#############################################################################
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"""
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测试数据精度
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"""
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import time
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from data import precision as DATA
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from lib import palo_config
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from lib import palo_client
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from lib import util
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config = palo_config.config
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LOG = palo_client.LOG
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L = palo_client.L
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broker_info = palo_config.broker_info
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def setup_module():
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"""
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setUp
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"""
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global client
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client = palo_client.get_client(config.fe_host, config.fe_query_port, user=config.fe_user,
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password=config.fe_password, http_port=config.fe_http_port)
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def test_float_precision():
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"""
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{
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"title": "test_sys_precision.test_float_precision",
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"describe": "测试float数据类型的精度",
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"tag": "function,p1"
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}
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"""
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"""
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测试float数据类型的精度
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"""
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database_name, table_name, index_name = util.gen_num_format_name_list()
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LOG.info(L('', database_name=database_name, \
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table_name=table_name, index_name=index_name))
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client.clean(database_name)
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client.create_database(database_name)
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client.create_table(table_name, DATA.schema_1, keys_desc='AGGREGATE KEY (K1)')
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time.sleep(1)
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assert client.show_tables(table_name)
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assert client.get_index(table_name)
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data_desc_list = palo_client.LoadDataInfo(DATA.file_path, table_name)
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ret = client.batch_load(util.get_label(), data_desc_list, is_wait=True, broker=broker_info)
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assert ret
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ret = client.verify(DATA.expected_data_file_list, table_name)
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assert ret
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client.clean(database_name)
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def test_double_precision():
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"""
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{
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"title": "test_sys_precision.test_double_precision",
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"describe": "测试double数据类型的精度",
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"tag": "function,p1"
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}
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"""
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"""
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测试double数据类型的精度
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"""
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database_name, table_name, index_name = util.gen_num_format_name_list()
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LOG.info(L('', database_name=database_name, \
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table_name=table_name, index_name=index_name))
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client.clean(database_name)
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client.create_database(database_name)
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client.create_table(table_name, DATA.schema_2, keys_desc='AGGREGATE KEY (K1)')
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time.sleep(1)
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assert client.show_tables(table_name)
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assert client.get_index(table_name)
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data_desc_list = palo_client.LoadDataInfo(DATA.file_path, table_name)
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ret = client.batch_load(util.get_label(), data_desc_list, is_wait=True, broker=broker_info)
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assert ret
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ret = client.verify(DATA.expected_data_file_list, table_name)
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assert ret
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client.clean(database_name)
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