1789 lines
114 KiB
Python
1789 lines
114 KiB
Python
###################################################################
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# Copyright (c) 2021 by TAOS Technologies, Inc.
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# All rights reserved.
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#
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# This file is proprietary and confidential to TAOS Technologies.
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# No part of this file may be reproduced, stored, transmitted,
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# disclosed or used in any form or by any means other than as
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# expressly provided by the written permission from Jianhui Tao
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#
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###################################################################
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# -*- coding: utf-8 -*-
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import traceback
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import random
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from taos.error import SchemalessError
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import time
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from util.log import *
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from util.cases import *
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from util.sql import *
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from util.common import tdCom
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from util.types import TDSmlProtocolType
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import threading
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import json
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class TDTestCase:
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def init(self, conn, logSql):
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tdLog.debug("start to execute %s" % __file__)
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tdSql.init(conn.cursor(), logSql)
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self._conn = conn
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self.defaultJSONStrType_value = "NCHAR"
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def createDb(self, name="test", db_update_tag=0, protocol=None):
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if protocol == "telnet-tcp":
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name = "opentsdb_telnet"
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if db_update_tag == 0:
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tdSql.execute(f"drop database if exists {name}")
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tdSql.execute(f"create database if not exists {name} precision 'ms' schemaless 1")
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else:
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tdSql.execute(f"drop database if exists {name}")
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tdSql.execute(f"create database if not exists {name} precision 'ms' update 1 schemaless 1")
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tdSql.execute(f'use {name}')
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def timeTrans(self, time_value):
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if type(time_value) is int:
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if time_value != 0:
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if len(str(time_value)) == 13:
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ts = int(time_value)/1000
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elif len(str(time_value)) == 10:
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ts = int(time_value)/1
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else:
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ts = time_value/1000000
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else:
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ts = time.time()
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elif type(time_value) is dict:
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if time_value["type"].lower() == "ns":
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ts = time_value["value"]/1000000000
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elif time_value["type"].lower() == "us":
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ts = time_value["value"]/1000000
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elif time_value["type"].lower() == "ms":
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ts = time_value["value"]/1000
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elif time_value["type"].lower() == "s":
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ts = time_value["value"]/1
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else:
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ts = time_value["value"]/1000000
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ulsec = repr(ts).split('.')[1][:6]
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if len(ulsec) < 6 and int(ulsec) != 0:
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ulsec = int(ulsec) * (10 ** (6 - len(ulsec)))
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elif int(ulsec) == 0:
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ulsec *= 6
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# * follow two rows added for tsCheckCase
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td_ts = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(ts))
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return td_ts
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#td_ts = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(ts))
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td_ts = time.strftime("%Y-%m-%d %H:%M:%S.{}".format(ulsec), time.localtime(ts))
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return td_ts
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def dateToTs(self, datetime_input):
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return int(time.mktime(time.strptime(datetime_input, "%Y-%m-%d %H:%M:%S.%f")))
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def typeTrans(self, type_list):
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type_num_list = []
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for tp in type_list:
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if type(tp) is dict:
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tp = tp['type']
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if tp.upper() == "TIMESTAMP":
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type_num_list.append(9)
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elif tp.upper() == "BOOL":
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type_num_list.append(1)
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elif tp.upper() == "TINYINT":
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type_num_list.append(2)
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elif tp.upper() == "SMALLINT":
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type_num_list.append(3)
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elif tp.upper() == "INT":
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type_num_list.append(4)
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elif tp.upper() == "BIGINT":
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type_num_list.append(5)
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elif tp.upper() == "FLOAT":
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type_num_list.append(6)
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elif tp.upper() == "DOUBLE":
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type_num_list.append(7)
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elif tp.upper() == "VARCHAR":
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type_num_list.append(8)
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elif tp.upper() == "NCHAR":
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type_num_list.append(10)
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elif tp.upper() == "BIGINT UNSIGNED":
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type_num_list.append(14)
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return type_num_list
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def inputHandle(self, input_json):
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stb_name = input_json["metric"]
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stb_tag_dict = input_json["tags"]
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stb_col_dict = input_json["value"]
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ts_value = self.timeTrans(input_json["timestamp"])
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tag_name_list = []
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tag_value_list = []
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td_tag_value_list = []
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td_tag_type_list = []
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col_name_list = []
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col_value_list = []
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td_col_value_list = []
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td_col_type_list = []
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# handle tag
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for key,value in stb_tag_dict.items():
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if "id" == key.lower():
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tb_name = value
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else:
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if type(value) is dict:
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tag_value_list.append(str(value["value"]))
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td_tag_value_list.append(str(value["value"]))
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tag_name_list.append(key.lower())
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if value["type"].lower() == "binary":
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td_tag_type_list.append("VARCHAR")
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else:
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td_tag_type_list.append(value["type"].upper())
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tb_name = ""
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else:
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tag_value_list.append(str(value))
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# td_tag_value_list.append(str(value))
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tag_name_list.append(key.lower())
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tb_name = ""
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if type(value) is bool:
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td_tag_type_list.append("BOOL")
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td_tag_value_list.append(str(value))
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elif type(value) is int:
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td_tag_type_list.append("DOUBLE")
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td_tag_value_list.append(str(float(value)))
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elif type(value) is float:
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td_tag_type_list.append("DOUBLE")
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td_tag_value_list.append(str(float(value)))
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elif type(value) is str:
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if self.defaultJSONStrType_value == "NCHAR":
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td_tag_type_list.append("NCHAR")
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td_tag_value_list.append(str(value))
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else:
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td_tag_type_list.append("VARCHAR")
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td_tag_value_list.append(str(value))
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# handle col
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if type(stb_col_dict) is dict:
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if stb_col_dict["type"].lower() == "bool":
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bool_value = f'{stb_col_dict["value"]}'
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col_value_list.append(bool_value)
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td_col_type_list.append(stb_col_dict["type"].upper())
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col_name_list.append("_value")
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td_col_value_list.append(str(stb_col_dict["value"]))
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else:
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col_value_list.append(stb_col_dict["value"])
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if stb_col_dict["type"].lower() == "binary":
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td_col_type_list.append("VARCHAR")
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else:
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td_col_type_list.append(stb_col_dict["type"].upper())
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col_name_list.append("_value")
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td_col_value_list.append(str(stb_col_dict["value"]))
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else:
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col_name_list.append("_value")
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col_value_list.append(str(stb_col_dict))
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# td_col_value_list.append(str(stb_col_dict))
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if type(stb_col_dict) is bool:
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td_col_type_list.append("BOOL")
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td_col_value_list.append(str(stb_col_dict))
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elif type(stb_col_dict) is int:
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td_col_type_list.append("DOUBLE")
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td_col_value_list.append(str(float(stb_col_dict)))
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elif type(stb_col_dict) is float:
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td_col_type_list.append("DOUBLE")
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td_col_value_list.append(str(float(stb_col_dict)))
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elif type(stb_col_dict) is str:
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if self.defaultJSONStrType_value == "NCHAR":
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td_col_type_list.append("NCHAR")
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td_col_value_list.append(str(stb_col_dict))
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else:
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td_col_type_list.append("VARCHAR")
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td_col_value_list.append(str(stb_col_dict))
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final_field_list = []
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final_field_list.extend(col_name_list)
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final_field_list.extend(tag_name_list)
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final_type_list = []
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final_type_list.append("TIMESTAMP")
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final_type_list.extend(td_col_type_list)
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final_type_list.extend(td_tag_type_list)
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final_type_list = self.typeTrans(final_type_list)
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final_value_list = []
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final_value_list.append(ts_value)
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final_value_list.extend(td_col_value_list)
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final_value_list.extend(td_tag_value_list)
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return final_value_list, final_field_list, final_type_list, stb_name, tb_name
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def genTsColValue(self, value, t_type=None, value_type="obj"):
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if value_type == "obj":
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if t_type == None:
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ts_col_value = value
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else:
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ts_col_value = {"value": value, "type": t_type}
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elif value_type == "default":
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ts_col_value = value
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return ts_col_value
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def genTagValue(self, t0_type="bool", t0_value="", t1_type="tinyint", t1_value=127, t2_type="smallint", t2_value=32767,
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t3_type="int", t3_value=2147483647, t4_type="bigint", t4_value=9223372036854775807,
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t5_type="float", t5_value=11.12345027923584, t6_type="double", t6_value=22.123456789,
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t7_type="binary", t7_value="binaryTagValue", t8_type="nchar", t8_value="ncharTagValue", value_type="obj"):
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if t0_value == "":
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t0_value = random.choice([True, False])
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if value_type == "obj":
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tag_value = {
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"t0": {"value": t0_value, "type": t0_type},
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"t1": {"value": t1_value, "type": t1_type},
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"t2": {"value": t2_value, "type": t2_type},
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"t3": {"value": t3_value, "type": t3_type},
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"t4": {"value": t4_value, "type": t4_type},
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"t5": {"value": t5_value, "type": t5_type},
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"t6": {"value": t6_value, "type": t6_type},
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"t7": {"value": t7_value, "type": t7_type},
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"t8": {"value": t8_value, "type": t8_type}
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}
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elif value_type == "default":
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# t5_value = t6_value
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tag_value = {
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"t0": t0_value,
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"t1": t1_value,
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"t2": t2_value,
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"t3": t3_value,
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"t4": t4_value,
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"t5": t5_value,
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"t6": t6_value,
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"t7": t7_value,
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"t8": t8_value
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}
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return tag_value
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def genFullTypeJson(self, ts_value="", col_value="", tag_value="", stb_name="", tb_name="",
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id_noexist_tag=None, id_change_tag=None, id_upper_tag=None, id_mixul_tag=None, id_double_tag=None,
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t_add_tag=None, t_mul_tag=None, c_multi_tag=None, c_blank_tag=None, t_blank_tag=None,
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chinese_tag=None, multi_field_tag=None, point_trans_tag=None, value_type="obj"):
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if value_type == "obj":
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if stb_name == "":
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stb_name = tdCom.getLongName(6, "letters")
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if tb_name == "":
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tb_name = f'{stb_name}_{random.randint(0, 65535)}_{random.randint(0, 65535)}'
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if ts_value == "":
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ts_value = self.genTsColValue(1626006833639000000, "ns")
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if col_value == "":
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col_value = self.genTsColValue(random.choice([True, False]), "bool")
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if tag_value == "":
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tag_value = self.genTagValue()
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# if id_upper_tag is not None:
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# id = "ID"
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# else:
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# id = "id"
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# if id_mixul_tag is not None:
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# id = random.choice(["iD", "Id"])
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# else:
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# id = "id"
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# if id_noexist_tag is None:
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# tag_value[id] = tb_name
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if id_noexist_tag is not None:
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if t_add_tag is not None:
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tag_value["t9"] = {"value": "ncharTagValue", "type": "nchar"}
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if id_change_tag is not None:
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tag_value.pop('t8')
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tag_value["t8"] = {"value": "ncharTagValue", "type": "nchar"}
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if id_double_tag is not None:
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tag_value["ID"] = f'"{tb_name}_2"'
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if t_add_tag is not None:
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tag_value["t10"] = {"value": "ncharTagValue", "type": "nchar"}
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tag_value["t11"] = {"value": True, "type": "bool"}
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if t_mul_tag is not None:
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tag_value.pop('t8')
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if c_multi_tag is not None:
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col_value = [{"value": True, "type": "bool"}, {"value": False, "type": "bool"}]
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if t_blank_tag is not None:
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tag_value = ""
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if chinese_tag is not None:
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tag_value = {"t0": {"value": "涛思数据", "type": "nchar"}}
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col_value = {"value": "涛思数据", "type": "nchar"}
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if c_blank_tag is not None:
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sql_json.pop("value")
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if multi_field_tag is not None:
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value, "tags2": tag_value}
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if point_trans_tag is not None:
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sql_json = {"metric": ".point.trans.test", "timestamp": ts_value, "value": col_value, "tags": tag_value}
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elif value_type == "default":
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if stb_name == "":
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stb_name = tdCom.getLongName(6, "letters")
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if tb_name == "":
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tb_name = f'{stb_name}_{random.randint(0, 65535)}_{random.randint(0, 65535)}'
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if ts_value == "":
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ts_value = 1626006834
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if col_value == "":
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col_value = random.choice([True, False])
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if tag_value == "":
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tag_value = self.genTagValue(value_type=value_type)
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# if id_upper_tag is not None:
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# id = "ID"
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# else:
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# id = "id"
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# if id_mixul_tag is not None:
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# id = "iD"
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# else:
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# id = "id"
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# if id_noexist_tag is None:
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# tag_value[id] = tb_name
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if id_noexist_tag is not None:
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if t_add_tag is not None:
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tag_value["t9"] = {"value": "ncharTagValue", "type": "nchar"}
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if id_change_tag is not None:
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tag_value.pop('t7')
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tag_value["t7"] = {"value": "ncharTagValue", "type": "nchar"}
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
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if id_double_tag is not None:
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tag_value["ID"] = f'"{tb_name}_2"'
|
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
|
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if t_add_tag is not None:
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tag_value["t10"] = {"value": "ncharTagValue", "type": "nchar"}
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tag_value["t11"] = True
|
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
|
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if t_mul_tag is not None:
|
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tag_value.pop('t7')
|
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
|
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if c_multi_tag is not None:
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col_value = True,False
|
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sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
|
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if t_blank_tag is not None:
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tag_value = ""
|
||
sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value}
|
||
if c_blank_tag is not None:
|
||
sql_json.pop("value")
|
||
if multi_field_tag is not None:
|
||
sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value, "tags2": tag_value}
|
||
if point_trans_tag is not None:
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sql_json = {"metric": ".point.trans.test", "timestamp": ts_value, "value": col_value, "tags": tag_value}
|
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return sql_json, stb_name
|
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|
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def genMulTagColDict(self, genType, count=1, value_type="obj"):
|
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"""
|
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genType must be tag/col
|
||
"""
|
||
tag_dict = dict()
|
||
col_dict = dict()
|
||
if value_type == "obj":
|
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if genType == "tag":
|
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for i in range(0, count):
|
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tag_dict[f't{i}'] = {'value': True, 'type': 'bool'}
|
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return tag_dict
|
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if genType == "col":
|
||
col_dict = {'value': True, 'type': 'bool'}
|
||
return col_dict
|
||
elif value_type == "default":
|
||
if genType == "tag":
|
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for i in range(0, count):
|
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tag_dict[f't{i}'] = True
|
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return tag_dict
|
||
if genType == "col":
|
||
col_dict = True
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return col_dict
|
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|
||
def genLongJson(self, tag_count, value_type="obj"):
|
||
stb_name = tdCom.getLongName(7, mode="letters")
|
||
# tb_name = f'{stb_name}_1'
|
||
tag_dict = self.genMulTagColDict("tag", tag_count, value_type)
|
||
col_dict = self.genMulTagColDict("col", 1, value_type)
|
||
# tag_dict["id"] = tb_name
|
||
ts_dict = {'value': 1626006833639000000, 'type': 'ns'}
|
||
long_json = {"metric": stb_name, "timestamp": ts_dict, "value": col_dict, "tags": tag_dict}
|
||
return long_json, stb_name
|
||
|
||
def getNoIdTbName(self, stb_name):
|
||
query_sql = f"select tbname from {stb_name}"
|
||
tb_name = self.resHandle(query_sql, True)[0][0]
|
||
return tb_name
|
||
|
||
def resHandle(self, query_sql, query_tag):
|
||
tdSql.execute('reset query cache')
|
||
row_info = tdSql.query(query_sql, query_tag)
|
||
col_info = tdSql.getColNameList(query_sql, query_tag)
|
||
res_row_list = []
|
||
sub_list = []
|
||
for row_mem in row_info:
|
||
for i in row_mem:
|
||
if "11.1234" in str(i) and str(i) != "11.12345f32" and str(i) != "11.12345027923584F32":
|
||
sub_list.append("11.12345027923584")
|
||
elif "22.1234" in str(i) and str(i) != "22.123456789f64" and str(i) != "22.123456789F64":
|
||
sub_list.append("22.123456789")
|
||
else:
|
||
sub_list.append(str(i))
|
||
res_row_list.append(sub_list)
|
||
res_field_list_without_ts = col_info[0][1:]
|
||
res_type_list = col_info[1]
|
||
return res_row_list, res_field_list_without_ts, res_type_list
|
||
|
||
def resCmp(self, input_json, stb_name, query_sql="select * from", condition="", ts=None, id=True, none_check_tag=None, none_type_check=None):
|
||
expect_list = self.inputHandle(input_json)
|
||
print("----", json.dumps(input_json))
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
print("!!!!!----", json.dumps(input_json))
|
||
query_sql = f"{query_sql} {stb_name} {condition}"
|
||
res_row_list, res_field_list_without_ts, res_type_list = self.resHandle(query_sql, True)
|
||
if ts == 0:
|
||
res_ts = self.dateToTs(res_row_list[0][0])
|
||
current_time = time.time()
|
||
if current_time - res_ts < 60:
|
||
tdSql.checkEqual(res_row_list[0][1:], expect_list[0][1:])
|
||
else:
|
||
print("timeout")
|
||
tdSql.checkEqual(res_row_list[0], expect_list[0])
|
||
else:
|
||
if none_check_tag is not None:
|
||
none_index_list = [i for i,x in enumerate(res_row_list[0]) if x=="None"]
|
||
none_index_list.reverse()
|
||
for j in none_index_list:
|
||
res_row_list[0].pop(j)
|
||
expect_list[0].pop(j)
|
||
tdSql.checkEqual(sorted(res_row_list[0]), sorted(expect_list[0]))
|
||
tdSql.checkEqual(sorted(res_field_list_without_ts), sorted(expect_list[1]))
|
||
tdSql.checkEqual(res_type_list, expect_list[2])
|
||
|
||
def initCheckCase(self, value_type="obj"):
|
||
"""
|
||
normal tags and cols, one for every elm
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
|
||
def boolTypeCheckCase(self):
|
||
"""
|
||
check all normal type
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
full_type_list = ["f", "F", "false", "False", "t", "T", "true", "True"]
|
||
for t_type in full_type_list:
|
||
input_json_list = [self.genFullTypeJson(tag_value=self.genTagValue(t0_value=t_type))[0],
|
||
self.genFullTypeJson(col_value=self.genTsColValue(value=t_type, t_type="bool"))[0]]
|
||
for input_json in input_json_list:
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def symbolsCheckCase(self, value_type="obj"):
|
||
"""
|
||
check symbols = `~!@#$%^&*()_-+={[}]\|:;'\",<.>/?
|
||
"""
|
||
'''
|
||
please test :
|
||
binary_symbols = '\"abcd`~!@#$%^&*()_-{[}]|:;<.>?lfjal"\'\'"\"'
|
||
'''
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
binary_symbols = '"abcd`~!@#$%^&*()_-{[}]|:;<.>?lfjal"'
|
||
nchar_symbols = binary_symbols
|
||
input_sql1, stb_name1 = self.genFullTypeJson(col_value=self.genTsColValue(value=binary_symbols, t_type="binary", value_type=value_type),
|
||
tag_value=self.genTagValue(t7_value=binary_symbols, t8_value=nchar_symbols, value_type=value_type))
|
||
input_sql2, stb_name2 = self.genFullTypeJson(col_value=self.genTsColValue(value=nchar_symbols, t_type="nchar", value_type=value_type),
|
||
tag_value=self.genTagValue(t7_value=binary_symbols, t8_value=nchar_symbols, value_type=value_type))
|
||
self.resCmp(input_sql1, stb_name1)
|
||
self.resCmp(input_sql2, stb_name2)
|
||
|
||
def tsCheckCase(self, value_type="obj"):
|
||
"""
|
||
test ts list --> ["1626006833639000000ns", "1626006833639019us", "1626006833640ms", "1626006834s", "1626006822639022"]
|
||
# ! us级时间戳都为0时，数据库中查询显示，但python接口拿到的结果不显示 .000000的情况请确认，目前修改时间处理代码可以通过
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
ts_list = ["1626006833639000000ns", "1626006833639019us", "1626006833640ms", "1626006834s", "1626006834", 0]
|
||
for ts in ts_list:
|
||
if "s" in str(ts):
|
||
input_json, stb_name = self.genFullTypeJson(ts_value=self.genTsColValue(value=int(tdCom.splitNumLetter(ts)[0]), t_type=tdCom.splitNumLetter(ts)[1]))
|
||
self.resCmp(input_json, stb_name, ts=ts)
|
||
else:
|
||
input_json, stb_name = self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type="s", value_type=value_type))
|
||
self.resCmp(input_json, stb_name, ts=ts)
|
||
if int(ts) == 0:
|
||
if value_type == "obj":
|
||
input_json_list = [self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type="")),
|
||
self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type="ns")),
|
||
self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type="us")),
|
||
self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type="ms")),
|
||
self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type="s"))]
|
||
elif value_type == "default":
|
||
input_json_list = [self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), value_type=value_type))]
|
||
for input_json in input_json_list:
|
||
self.resCmp(input_json[0], input_json[1], ts=ts)
|
||
else:
|
||
input_json = self.genFullTypeJson(ts_value=self.genTsColValue(value=int(ts), t_type=""))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
# check result
|
||
#! bug
|
||
tdSql.execute(f"drop database if exists test_ts")
|
||
tdSql.execute(f"create database if not exists test_ts precision 'ms' schemaless 1")
|
||
tdSql.execute("use test_ts")
|
||
input_json = [{"metric": "test_ms", "timestamp": {"value": 1626006833640, "type": "ms"}, "value": True, "tags": {"t0": True}},
|
||
{"metric": "test_ms", "timestamp": {"value": 1626006833641, "type": "ms"}, "value": False, "tags": {"t0": True}}]
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
res = tdSql.query('select * from test_ms', True)
|
||
tdSql.checkEqual(str(res[0][0]), "2021-07-11 20:33:53.640000")
|
||
tdSql.checkEqual(str(res[1][0]), "2021-07-11 20:33:53.641000")
|
||
|
||
tdSql.execute(f"drop database if exists test_ts")
|
||
tdSql.execute(f"create database if not exists test_ts precision 'us' schemaless 1")
|
||
tdSql.execute("use test_ts")
|
||
input_json = [{"metric": "test_us", "timestamp": {"value": 1626006833639000, "type": "us"}, "value": True, "tags": {"t0": True}},
|
||
{"metric": "test_us", "timestamp": {"value": 1626006833639001, "type": "us"}, "value": False, "tags": {"t0": True}}]
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
res = tdSql.query('select * from test_us', True)
|
||
tdSql.checkEqual(str(res[0][0]), "2021-07-11 20:33:53.639000")
|
||
tdSql.checkEqual(str(res[1][0]), "2021-07-11 20:33:53.639001")
|
||
|
||
tdSql.execute(f"drop database if exists test_ts")
|
||
tdSql.execute(f"create database if not exists test_ts precision 'ns' schemaless 1")
|
||
tdSql.execute("use test_ts")
|
||
input_json = [{"metric": "test_ns", "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": True, "tags": {"t0": True}},
|
||
{"metric": "test_ns", "timestamp": {"value": 1626006833639000001, "type": "ns"}, "value": False, "tags": {"t0": True}}]
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
res = tdSql.query('select * from test_ns', True)
|
||
tdSql.checkEqual(str(res[0][0]), "1626006833639000000")
|
||
tdSql.checkEqual(str(res[1][0]), "1626006833639000001")
|
||
self.createDb()
|
||
|
||
def idSeqCheckCase(self, value_type="obj"):
|
||
"""
|
||
check id.index in tags
|
||
eg: t0=**,id=**,t1=**
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(id_change_tag=True, value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
|
||
def idLetterCheckCase(self, value_type="obj"):
|
||
"""
|
||
check id param
|
||
eg: id and ID
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(id_upper_tag=True, value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
input_json, stb_name = self.genFullTypeJson(id_mixul_tag=True, value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
input_json, stb_name = self.genFullTypeJson(id_change_tag=True, id_upper_tag=True, value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
|
||
def noIdCheckCase(self, value_type="obj"):
|
||
"""
|
||
id not exist
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(id_noexist_tag=True, value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
query_sql = f"select tbname from {stb_name}"
|
||
res_row_list = self.resHandle(query_sql, True)[0]
|
||
if len(res_row_list[0][0]) > 0:
|
||
tdSql.checkColNameList(res_row_list, res_row_list)
|
||
else:
|
||
tdSql.checkColNameList(res_row_list, "please check noIdCheckCase")
|
||
|
||
def maxColTagCheckCase(self, value_type="obj"):
|
||
"""
|
||
max tag count is 128
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
for input_json in [self.genLongJson(128, value_type)[0]]:
|
||
tdCom.cleanTb()
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
for input_json in [self.genLongJson(129, value_type)[0]]:
|
||
tdCom.cleanTb()
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def idIllegalNameCheckCase(self, value_type="obj"):
|
||
"""
|
||
test illegal id name
|
||
mix "`~!@#$¥%^&*()-+={}|[]、「」【】\:;《》<>?"
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
rstr = list("`~!@#$¥%^&*()-+={}|[]、「」【】\:;《》<>?")
|
||
for i in rstr:
|
||
input_json = self.genFullTypeJson(tb_name=f'aa{i}bb', value_type=value_type)[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def idStartWithNumCheckCase(self, value_type="obj"):
|
||
"""
|
||
id is start with num
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(tb_name="1aaabbb", value_type=value_type)[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def nowTsCheckCase(self, value_type="obj"):
|
||
"""
|
||
check now unsupported
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(ts_value=self.genTsColValue(value="now", t_type="ns", value_type=value_type))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def dateFormatTsCheckCase(self, value_type="obj"):
|
||
"""
|
||
check date format ts unsupported
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(ts_value=self.genTsColValue(value="2021-07-21\ 19:01:46.920", t_type="ns", value_type=value_type))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def illegalTsCheckCase(self, value_type="obj"):
|
||
"""
|
||
check ts format like 16260068336390us19
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(ts_value=self.genTsColValue(value="16260068336390us19", t_type="us", value_type=value_type))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def tbnameCheckCase(self, value_type="obj"):
|
||
"""
|
||
check length 192
|
||
check upper tbname
|
||
chech upper tag
|
||
length of stb_name tb_name <= 192
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tdSql.execute('reset query cache')
|
||
stb_name_192 = tdCom.getLongName(len=192, mode="letters")
|
||
tb_name_192 = tdCom.getLongName(len=192, mode="letters")
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name_192, tb_name=tb_name_192, value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
tdSql.query(f'select * from {stb_name}')
|
||
tdSql.checkRows(1)
|
||
for input_json in [self.genFullTypeJson(stb_name=tdCom.getLongName(len=193, mode="letters"), tb_name=tdCom.getLongName(len=5, mode="letters"), value_type=value_type)[0]]:
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
stbname = tdCom.getLongName(len=10, mode="letters")
|
||
input_json = {'metric': f'A{stbname}', 'timestamp': {'value': 1626006833639000000, 'type': 'ns'}, 'value': {'value': False, 'type': 'bool'}, 'tags': {'t1': {'value': 127, 'type': 'tinyint'}, "t2": 127}}
|
||
stb_name = f'`A{stbname}`'
|
||
self.resCmp(input_json, stb_name)
|
||
tdSql.execute(f"drop table {stb_name}")
|
||
|
||
def tagNameLengthCheckCase(self):
|
||
"""
|
||
check tag name limit <= 62
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tag_name = tdCom.getLongName(61, "letters")
|
||
tag_name = f't{tag_name}'
|
||
stb_name = tdCom.getLongName(7, "letters")
|
||
input_json = {'metric': stb_name, 'timestamp': {'value': 1626006833639000000, 'type': 'ns'}, 'value': "bcdaaa", 'tags': {tag_name: {'value': False, 'type': 'bool'}}}
|
||
self.resCmp(input_json, stb_name)
|
||
input_json = {'metric': stb_name, 'timestamp': {'value': 1626006833639000001, 'type': 'ns'}, 'value': "bcdaaaa", 'tags': {tdCom.getLongName(65, "letters"): {'value': False, 'type': 'bool'}}}
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def tagValueLengthCheckCase(self, value_type="obj"):
|
||
"""
|
||
check full type tag value limit
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
# i8
|
||
for t1 in [-127, 127]:
|
||
input_json, stb_name = self.genFullTypeJson(tag_value=self.genTagValue(t1_value=t1, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
for t1 in [-128, 128]:
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t1_value=t1))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
#i16
|
||
for t2 in [-32767, 32767]:
|
||
input_json, stb_name = self.genFullTypeJson(tag_value=self.genTagValue(t2_value=t2, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
for t2 in [-32768, 32768]:
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t2_value=t2))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
#i32
|
||
for t3 in [-2147483647, 2147483647]:
|
||
input_json, stb_name = self.genFullTypeJson(tag_value=self.genTagValue(t3_value=t3, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
for t3 in [-2147483648, 2147483648]:
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t3_value=t3))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
#i64
|
||
for t4 in [-9223372036854775807, 9223372036854775807]:
|
||
input_json, stb_name = self.genFullTypeJson(tag_value=self.genTagValue(t4_value=t4, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
|
||
for t4 in [-9223372036854775808, 9223372036854775808]:
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t4_value=t4))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# f32
|
||
for t5 in [-3.4028234663852885981170418348451692544*(10**38), 3.4028234663852885981170418348451692544*(10**38)]:
|
||
input_json, stb_name = self.genFullTypeJson(tag_value=self.genTagValue(t5_value=t5, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
# * limit set to 3.4028234664*(10**38)
|
||
for t5 in [-3.4028234664*(10**38), 3.4028234664*(10**38)]:
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t5_value=t5))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# f64
|
||
for t6 in [-1.79769*(10**308), -1.79769*(10**308)]:
|
||
input_json, stb_name = self.genFullTypeJson(tag_value=self.genTagValue(t6_value=t6, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
for t6 in [float(-1.797693134862316*(10**308)), -1.797693134862316*(10**308)]:
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t6_value=t6, value_type=value_type))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
if value_type == "obj":
|
||
# binary
|
||
stb_name = tdCom.getLongName(7, "letters")
|
||
input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': True, 'type': 'bool'}, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1":{'value': tdCom.getLongName(16374, "letters"), 'type': 'binary'}}}
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': True, 'type': 'bool'}, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1":{'value': tdCom.getLongName(16375, "letters"), 'type': 'binary'}}}
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# # nchar
|
||
# # * legal nchar could not be larger than 16374/4
|
||
stb_name = tdCom.getLongName(7, "letters")
|
||
input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': True, 'type': 'bool'}, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1":{'value': tdCom.getLongName(4093, "letters"), 'type': 'nchar'}}}
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': True, 'type': 'bool'}, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1":{'value': tdCom.getLongName(4094, "letters"), 'type': 'nchar'}}}
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
elif value_type == "default":
|
||
stb_name = tdCom.getLongName(7, "letters")
|
||
if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
input_json = {"metric": stb_name, "timestamp": 1626006834, "value": True, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1": tdCom.getLongName(16374, "letters")}}
|
||
elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
input_json = {"metric": stb_name, "timestamp": 1626006834, "value": True, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1": tdCom.getLongName(4093, "letters")}}
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
input_json = {"metric": stb_name, "timestamp": 1626006834, "value": True, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1": tdCom.getLongName(16375, "letters")}}
|
||
elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
input_json = {"metric": stb_name, "timestamp": 1626006834, "value": True, "tags": {"t0": {'value': True, 'type': 'bool'}, "t1": tdCom.getLongName(4094, "letters")}}
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def colValueLengthCheckCase(self, value_type="obj"):
|
||
"""
|
||
check full type col value limit
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
# i8
|
||
for value in [-128, 127]:
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="tinyint", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
tdCom.cleanTb()
|
||
for value in [-129, 128]:
|
||
input_json = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="tinyint"))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
# i16
|
||
tdCom.cleanTb()
|
||
for value in [-32768]:
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="smallint", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
tdCom.cleanTb()
|
||
for value in [-32769, 32768]:
|
||
input_json = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="smallint"))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# i32
|
||
tdCom.cleanTb()
|
||
for value in [-2147483648]:
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="int", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
tdCom.cleanTb()
|
||
for value in [-2147483649, 2147483648]:
|
||
input_json = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="int"))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# i64
|
||
tdCom.cleanTb()
|
||
for value in [-9223372036854775808]:
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="bigint", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
# ! bug
|
||
# tdCom.cleanTb()
|
||
# for value in [-9223372036854775809, 9223372036854775808]:
|
||
# print(value)
|
||
# input_json = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="bigint"))[0]
|
||
# print(json.dumps(input_json))
|
||
# try:
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
# raise Exception("should not reach here")
|
||
# except SchemalessError as err:
|
||
# tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# f32
|
||
tdCom.cleanTb()
|
||
for value in [-3.4028234663852885981170418348451692544*(10**38), 3.4028234663852885981170418348451692544*(10**38)]:
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="float", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
# * limit set to 4028234664*(10**38)
|
||
tdCom.cleanTb()
|
||
for value in [-3.4028234664*(10**38), 3.4028234664*(10**38)]:
|
||
input_json = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="float"))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# f64
|
||
tdCom.cleanTb()
|
||
for value in [-1.79769313486231570814527423731704356798070567525844996598917476803157260780*(10**308), -1.79769313486231570814527423731704356798070567525844996598917476803157260780*(10**308)]:
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="double", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
# * limit set to 1.797693134862316*(10**308)
|
||
tdCom.cleanTb()
|
||
for value in [-1.797693134862316*(10**308), -1.797693134862316*(10**308)]:
|
||
input_json = self.genFullTypeJson(col_value=self.genTsColValue(value=value, t_type="double", value_type=value_type))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# if value_type == "obj":
|
||
# # binary
|
||
# tdCom.cleanTb()
|
||
# stb_name = tdCom.getLongName(7, "letters")
|
||
# input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': tdCom.getLongName(16374, "letters"), 'type': 'binary'}, "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
# tdCom.cleanTb()
|
||
# input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': tdCom.getLongName(16375, "letters"), 'type': 'binary'}, "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# try:
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
# raise Exception("should not reach here")
|
||
# except SchemalessError as err:
|
||
# tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# # nchar
|
||
# # * legal nchar could not be larger than 16374/4
|
||
# tdCom.cleanTb()
|
||
# stb_name = tdCom.getLongName(7, "letters")
|
||
# input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': tdCom.getLongName(4093, "letters"), 'type': 'nchar'}, "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
# tdCom.cleanTb()
|
||
# input_json = {"metric": stb_name, "timestamp": {'value': 1626006833639000000, 'type': 'ns'}, "value": {'value': tdCom.getLongName(4094, "letters"), 'type': 'nchar'}, "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# try:
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
# raise Exception("should not reach here")
|
||
# except SchemalessError as err:
|
||
# tdSql.checkNotEqual(err.errno, 0)
|
||
# elif value_type == "default":
|
||
# # binary
|
||
# tdCom.cleanTb()
|
||
# stb_name = tdCom.getLongName(7, "letters")
|
||
# if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
# input_json = {"metric": stb_name, "timestamp": 1626006834, "value": tdCom.getLongName(16374, "letters"), "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
# input_json = {"metric": stb_name, "timestamp": 1626006834, "value": tdCom.getLongName(4093, "letters"), "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
# tdCom.cleanTb()
|
||
# if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
# input_json = {"metric": stb_name, "timestamp": 1626006834, "value": tdCom.getLongName(16375, "letters"), "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
# input_json = {"metric": stb_name, "timestamp": 1626006834, "value": tdCom.getLongName(4094, "letters"), "tags": {"t0": {'value': True, 'type': 'bool'}}}
|
||
# try:
|
||
# self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
# raise Exception("should not reach here")
|
||
# except SchemalessError as err:
|
||
# tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def tagColIllegalValueCheckCase(self, value_type="obj"):
|
||
|
||
"""
|
||
test illegal tag col value
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
# bool
|
||
for i in ["TrUe", "tRue", "trUe", "truE", "FalsE", "fAlse", "faLse", "falSe", "falsE"]:
|
||
try:
|
||
input_json1 = self.genFullTypeJson(tag_value=self.genTagValue(t0_value=i))[0]
|
||
self._conn.schemaless_insert([json.dumps(input_json1)], 2, None)
|
||
input_json2 = self.genFullTypeJson(col_value=self.genTsColValue(value=i, t_type="bool"))[0]
|
||
self._conn.schemaless_insert([json.dumps(input_json2)], 2, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# i8 i16 i32 i64 f32 f64
|
||
for input_json in [
|
||
self.genFullTypeJson(tag_value=self.genTagValue(t1_value="1s2"))[0],
|
||
self.genFullTypeJson(tag_value=self.genTagValue(t2_value="1s2"))[0],
|
||
self.genFullTypeJson(tag_value=self.genTagValue(t3_value="1s2"))[0],
|
||
self.genFullTypeJson(tag_value=self.genTagValue(t4_value="1s2"))[0],
|
||
self.genFullTypeJson(tag_value=self.genTagValue(t5_value="11.1s45"))[0],
|
||
self.genFullTypeJson(tag_value=self.genTagValue(t6_value="11.1s45"))[0],
|
||
]:
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# check binary and nchar blank
|
||
input_sql1 = self.genFullTypeJson(col_value=self.genTsColValue(value="abc aaa", t_type="binary", value_type=value_type))[0]
|
||
input_sql2 = self.genFullTypeJson(col_value=self.genTsColValue(value="abc aaa", t_type="nchar", value_type=value_type))[0]
|
||
input_sql3 = self.genFullTypeJson(tag_value=self.genTagValue(t7_value="abc aaa", value_type=value_type))[0]
|
||
input_sql4 = self.genFullTypeJson(tag_value=self.genTagValue(t8_value="abc aaa", value_type=value_type))[0]
|
||
for input_json in [input_sql1, input_sql2, input_sql3, input_sql4]:
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
# check accepted binary and nchar symbols
|
||
# # * ~!@#$¥%^&*()-+={}|[]、「」:;
|
||
for symbol in list('~!@#$¥%^&*()-+={}|[]、「」:;'):
|
||
input_json1 = self.genFullTypeJson(col_value=self.genTsColValue(value=f"abc{symbol}aaa", t_type="binary", value_type=value_type))[0]
|
||
input_json2 = self.genFullTypeJson(tag_value=self.genTagValue(t8_value=f"abc{symbol}aaa", value_type=value_type))[0]
|
||
self._conn.schemaless_insert([json.dumps(input_json1)], TDSmlProtocolType.JSON.value, None)
|
||
self._conn.schemaless_insert([json.dumps(input_json2)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
def duplicateIdTagColInsertCheckCase(self, value_type="obj"):
|
||
"""
|
||
check duplicate Id Tag Col
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(id_double_tag=True, value_type=value_type)[0]
|
||
print(input_json)
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
input_json = self.genFullTypeJson(tag_value=self.genTagValue(t5_value=11.12345027923584, t6_type="float", t6_value=22.12345027923584, value_type=value_type))[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json).replace("t6", "t5")], 2, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
##### stb exist #####
|
||
def noIdStbExistCheckCase(self, value_type="obj"):
|
||
"""
|
||
case no id when stb exist
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(tb_name="sub_table_0123456", col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, id_noexist_tag=True, col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type))
|
||
self.resCmp(input_json, stb_name, condition='where tbname like "t_%"')
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(1)
|
||
|
||
def duplicateInsertExistCheckCase(self, value_type="obj"):
|
||
"""
|
||
check duplicate insert when stb exist
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(value_type=value_type)
|
||
self.resCmp(input_json, stb_name)
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
self.resCmp(input_json, stb_name)
|
||
|
||
def tagColBinaryNcharLengthCheckCase(self, value_type="obj"):
|
||
"""
|
||
check length increase
|
||
"""
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(value_type=value_type)
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
self.resCmp(input_json, stb_name)
|
||
tb_name = tdCom.getLongName(5, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, tag_value=self.genTagValue(t7_value="binaryTagValuebinaryTagValue", t8_value="ncharTagValuencharTagValue", value_type=value_type))
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
self.resCmp(input_json, stb_name, condition=f'where tbname like "{tb_name}"')
|
||
|
||
def lengthIcreaseCrashCheckCase(self):
|
||
"""
|
||
check length increase
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
stb_name = "test_crash"
|
||
input_json = self.genFullTypeJson(stb_name=stb_name)[0]
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
os.system('python3 query/schemalessQueryCrash.py &')
|
||
time.sleep(2)
|
||
tb_name = tdCom.getLongName(5, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, tag_value=self.genTagValue(t7_value="binaryTagValuebinaryTagValue", t8_value="ncharTagValuencharTagValue"))
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
time.sleep(3)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(2)
|
||
|
||
def tagColAddDupIDCheckCase(self, value_type="obj"):
|
||
"""
|
||
check tag count add, stb and tb duplicate
|
||
* tag: alter table ...
|
||
* col: when update==0 and ts is same, unchange
|
||
* so this case tag&&value will be added,
|
||
* col is added without value when update==0
|
||
* col is added with value when update==1
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
for db_update_tag in [0, 1]:
|
||
if db_update_tag == 1 :
|
||
self.createDb("test_update", db_update_tag=db_update_tag)
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=False, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type), t_add_tag=True)
|
||
if db_update_tag == 1 :
|
||
self.resCmp(input_json, stb_name, condition=f'where tbname like "{tb_name}"', none_check_tag=True)
|
||
tdSql.query(f'select * from {stb_name} where tbname like "{tb_name}"')
|
||
tdSql.checkData(0, 11, None)
|
||
tdSql.checkData(0, 12, None)
|
||
else:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
tdSql.query(f'select * from {stb_name} where tbname like "{tb_name}"')
|
||
tdSql.checkData(0, 1, True)
|
||
tdSql.checkData(0, 11, None)
|
||
tdSql.checkData(0, 12, None)
|
||
self.createDb()
|
||
|
||
def tagAddCheckCase(self, value_type="obj"):
|
||
"""
|
||
check tag count add
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
tb_name_1 = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name_1, col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type), t_add_tag=True)
|
||
self.resCmp(input_json, stb_name, condition=f'where tbname like "{tb_name_1}"')
|
||
res_row_list = self.resHandle(f"select t10,t11 from {tb_name}", True)[0]
|
||
tdSql.checkEqual(res_row_list[0], ['None', 'None'])
|
||
self.resCmp(input_json, stb_name, condition=f'where tbname like "{tb_name}"', none_check_tag=True)
|
||
|
||
def tagMd5Check(self, value_type="obj"):
|
||
"""
|
||
condition: stb not change
|
||
insert two table, keep tag unchange, change col
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type), id_noexist_tag=True)
|
||
self.resCmp(input_json, stb_name)
|
||
tb_name1 = self.getNoIdTbName(stb_name)
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type), id_noexist_tag=True)
|
||
self.resCmp(input_json, stb_name)
|
||
tb_name2 = self.getNoIdTbName(stb_name)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(1)
|
||
tdSql.checkEqual(tb_name1, tb_name2)
|
||
input_json, stb_name = self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type), id_noexist_tag=True, t_add_tag=True)
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
tb_name3 = self.getNoIdTbName(stb_name)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(2)
|
||
tdSql.checkNotEqual(tb_name1, tb_name3)
|
||
|
||
# * tag binary max is 16384, col+ts binary max 49151
|
||
def tagColBinaryMaxLengthCheckCase(self, value_type="obj"):
|
||
"""
|
||
every binary and nchar must be length+2
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
stb_name = tdCom.getLongName(7, "letters")
|
||
tb_name = f'{stb_name}_1'
|
||
tag_value = {"t0": {"value": True, "type": "bool"}}
|
||
tag_value["id"] = tb_name
|
||
col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type)
|
||
input_json = {"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": col_value, "tags": tag_value}
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
# * every binary and nchar must be length+2, so here is two tag, max length could not larger than 16384-2*2
|
||
if value_type == "obj":
|
||
tag_value["t1"] = {"value": tdCom.getLongName(16374, "letters"), "type": "binary"}
|
||
tag_value["t2"] = {"value": tdCom.getLongName(5, "letters"), "type": "binary"}
|
||
elif value_type == "default":
|
||
if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
tag_value["t1"] = tdCom.getLongName(16374, "letters")
|
||
tag_value["t2"] = tdCom.getLongName(5, "letters")
|
||
elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
tag_value["t1"] = tdCom.getLongName(4093, "letters")
|
||
tag_value["t2"] = tdCom.getLongName(1, "letters")
|
||
tag_value.pop('id')
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(2)
|
||
if value_type == "obj":
|
||
tag_value["t2"] = {"value": tdCom.getLongName(6, "letters"), "type": "binary"}
|
||
elif value_type == "default":
|
||
if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
tag_value["t2"] = tdCom.getLongName(6, "letters")
|
||
elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
tag_value["t2"] = tdCom.getLongName(2, "letters")
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(2)
|
||
|
||
# * tag nchar max is 16374/4, col+ts nchar max 49151
|
||
def tagColNcharMaxLengthCheckCase(self, value_type="obj"):
|
||
"""
|
||
check nchar length limit
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
stb_name = tdCom.getLongName(7, "letters")
|
||
tb_name = f'{stb_name}_1'
|
||
tag_value = {"t0": True}
|
||
tag_value["id"] = tb_name
|
||
col_value= True
|
||
input_json = {"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": col_value, "tags": tag_value}
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
|
||
# * legal nchar could not be larger than 16374/4
|
||
if value_type == "obj":
|
||
tag_value["t1"] = {"value": tdCom.getLongName(4093, "letters"), "type": "nchar"}
|
||
tag_value["t2"] = {"value": tdCom.getLongName(1, "letters"), "type": "nchar"}
|
||
elif value_type == "default":
|
||
if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
tag_value["t1"] = tdCom.getLongName(16374, "letters")
|
||
tag_value["t2"] = tdCom.getLongName(5, "letters")
|
||
elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
tag_value["t1"] = tdCom.getLongName(4093, "letters")
|
||
tag_value["t2"] = tdCom.getLongName(1, "letters")
|
||
tag_value.pop('id')
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(2)
|
||
if value_type == "obj":
|
||
tag_value["t2"] = {"value": tdCom.getLongName(2, "letters"), "type": "binary"}
|
||
elif value_type == "default":
|
||
if tdSql.getVariable("defaultJSONStrType")[0].lower() == "binary":
|
||
tag_value["t2"] = tdCom.getLongName(6, "letters")
|
||
elif tdSql.getVariable("defaultJSONStrType")[0].lower() == "nchar":
|
||
tag_value["t2"] = tdCom.getLongName(2, "letters")
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(2)
|
||
|
||
def batchInsertCheckCase(self, value_type="obj"):
|
||
"""
|
||
test batch insert
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
stb_name = "stb_name"
|
||
tdSql.execute(f'create stable {stb_name}(ts timestamp, f int) tags(t1 bigint)')
|
||
input_json = [{"metric": "st123456", "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": {"value": 1, "type": "bigint"}, "tags": {"t1": {"value": 3, "type": "bigint"}, "t2": {"value": 4, "type": "double"}, "t3": {"value": "t3", "type": "binary"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006833640000000, "type": "ns"}, "value": {"value": 2, "type": "bigint"}, "tags": {"t1": {"value": 4, "type": "bigint"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}},
|
||
{"metric": "stb_name", "timestamp": {"value": 1626056811823316532, "type": "ns"}, "value": {"value": 3, "type": "bigint"}, "tags": {"t2": {"value": 5, "type": "double"}, "t3": {"value": "ste", "type": "nchar"}}},
|
||
{"metric": "stf567890", "timestamp": {"value": 1626006933640000000, "type": "ns"}, "value": {"value": 4, "type": "bigint"}, "tags": {"t1": {"value": 4, "type": "bigint"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006833642000000, "type": "ns"}, "value": {"value": 5, "type": "bigint"}, "tags": {"t1": {"value": 4, "type": "bigint"}, "t2": {"value": 5, "type": "double"}, "t3": {"value": "t4", "type": "binary"}}},
|
||
{"metric": "stb_name", "timestamp": {"value": 1626056811843316532, "type": "ns"}, "value": {"value": 6, "type": "bigint"}, "tags": {"t2": {"value": 5, "type": "double"}, "t3": {"value": "ste2", "type": "nchar"}}},
|
||
{"metric": "stb_name", "timestamp": {"value": 1626056812843316532, "type": "ns"}, "value": {"value": 7, "type": "bigint"}, "tags": {"t2": {"value": 5, "type": "double"}, "t3": {"value": "ste2", "type": "nchar"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006933640000000, "type": "ns"}, "value": {"value": 8, "type": "bigint"}, "tags": {"t1": {"value": 4, "type": "bigint"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006933641000000, "type": "ns"}, "value": {"value": 9, "type": "bigint"}, "tags": {"t1": {"value": 4, "type": "bigint"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}}]
|
||
if value_type != "obj":
|
||
input_json = [{"metric": "st123456", "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": 1, "tags": {"t1": 3, "t2": {"value": 4, "type": "double"}, "t3": {"value": "t3", "type": "binary"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006833640000000, "type": "ns"}, "value": 2, "tags": {"t1": {"value": 4, "type": "double"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}},
|
||
{"metric": "stb_name", "timestamp": {"value": 1626056811823316532, "type": "ns"}, "value": 3, "tags": {"t2": {"value": 5, "type": "double"}, "t3": {"value": "ste", "type": "nchar"}}},
|
||
{"metric": "stf567890", "timestamp": {"value": 1626006933640000000, "type": "ns"}, "value": 4, "tags": {"t1": {"value": 4, "type": "bigint"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006833642000000, "type": "ns"}, "value": {"value": 5, "type": "double"}, "tags": {"t1": {"value": 4, "type": "double"}, "t2": 5.0, "t3": {"value": "t4", "type": "binary"}}},
|
||
{"metric": "stb_name", "timestamp": {"value": 1626056811843316532, "type": "ns"}, "value": {"value": 6, "type": "double"}, "tags": {"t2": 5.0, "t3": {"value": "ste2", "type": "nchar"}}},
|
||
{"metric": "stb_name", "timestamp": {"value": 1626056812843316532, "type": "ns"}, "value": {"value": 7, "type": "double"}, "tags": {"t2": {"value": 5, "type": "double"}, "t3": {"value": "ste2", "type": "nchar"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006933640000000, "type": "ns"}, "value": {"value": 8, "type": "double"}, "tags": {"t1": {"value": 4, "type": "double"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006933641000000, "type": "ns"}, "value": {"value": 9, "type": "double"}, "tags": {"t1": 4, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}}]
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
tdSql.query('show stables')
|
||
tdSql.checkRows(3)
|
||
tdSql.query('show tables')
|
||
tdSql.checkRows(6)
|
||
tdSql.query('select * from st123456')
|
||
tdSql.checkRows(5)
|
||
|
||
def multiInsertCheckCase(self, count, value_type="obj"):
|
||
"""
|
||
test multi insert
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
sql_list = list()
|
||
stb_name = tdCom.getLongName(8, "letters")
|
||
tdSql.execute(f'create stable {stb_name}(ts timestamp, f int) tags(t1 bigint)')
|
||
for i in range(count):
|
||
input_json = self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True)[0]
|
||
sql_list.append(input_json)
|
||
self._conn.schemaless_insert([json.dumps(sql_list)], TDSmlProtocolType.JSON.value, None)
|
||
tdSql.query('show tables')
|
||
tdSql.checkRows(count)
|
||
|
||
def batchErrorInsertCheckCase(self):
|
||
"""
|
||
test batch error insert
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = [{"metric": "st123456", "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": {"value": "tt", "type": "bool"}, "tags": {"t1": {"value": 3, "type": "bigint"}, "t2": {"value": 4, "type": "double"}, "t3": {"value": "t3", "type": "binary"}}},
|
||
{"metric": "st123456", "timestamp": {"value": 1626006933641000000, "type": "ns"}, "value": {"value": 9, "type": "bigint"}, "tags": {"t1": {"value": 4, "type": "bigint"}, "t3": {"value": "t4", "type": "binary"}, "t2": {"value": 5, "type": "double"}, "t4": {"value": 5, "type": "double"}}}]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def multiColsInsertCheckCase(self, value_type="obj"):
|
||
"""
|
||
test multi cols insert
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(c_multi_tag=True, value_type=value_type)[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def blankColInsertCheckCase(self, value_type="obj"):
|
||
"""
|
||
test blank col insert
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(c_blank_tag=True, value_type=value_type)[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def blankTagInsertCheckCase(self, value_type="obj"):
|
||
"""
|
||
test blank tag insert
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(t_blank_tag=True, value_type=value_type)[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def chineseCheckCase(self):
|
||
"""
|
||
check nchar ---> chinese
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(chinese_tag=True)
|
||
self.resCmp(input_json, stb_name)
|
||
|
||
def multiFieldCheckCase(self, value_type="obj"):
|
||
'''
|
||
multi_field
|
||
'''
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(multi_field_tag=True, value_type=value_type)[0]
|
||
try:
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
raise Exception("should not reach here")
|
||
except SchemalessError as err:
|
||
tdSql.checkNotEqual(err.errno, 0)
|
||
|
||
def spellCheckCase(self):
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
stb_name = tdCom.getLongName(8, "letters")
|
||
input_json_list = [{"metric": f'{stb_name}_1', "timestamp": {"value": 1626006833639000000, "type": "Ns"}, "value": {"value": 1, "type": "Bigint"}, "tags": {"t1": {"value": 127, "type": "tinYint"}}},
|
||
{"metric": f'{stb_name}_2', "timestamp": {"value": 1626006833639000001, "type": "nS"}, "value": {"value": 32767, "type": "smallInt"}, "tags": {"t1": {"value": 32767, "type": "smallInt"}}},
|
||
{"metric": f'{stb_name}_3', "timestamp": {"value": 1626006833639000002, "type": "NS"}, "value": {"value": 2147483647, "type": "iNt"}, "tags": {"t1": {"value": 2147483647, "type": "iNt"}}},
|
||
{"metric": f'{stb_name}_4', "timestamp": {"value": 1626006833639019, "type": "Us"}, "value": {"value": 9223372036854775807, "type": "bigInt"}, "tags": {"t1": {"value": 9223372036854775807, "type": "bigInt"}}},
|
||
{"metric": f'{stb_name}_5', "timestamp": {"value": 1626006833639018, "type": "uS"}, "value": {"value": 11.12345027923584, "type": "flOat"}, "tags": {"t1": {"value": 11.12345027923584, "type": "flOat"}}},
|
||
{"metric": f'{stb_name}_6', "timestamp": {"value": 1626006833639017, "type": "US"}, "value": {"value": 22.123456789, "type": "douBle"}, "tags": {"t1": {"value": 22.123456789, "type": "douBle"}}},
|
||
{"metric": f'{stb_name}_7', "timestamp": {"value": 1626006833640, "type": "Ms"}, "value": {"value": "vozamcts", "type": "binaRy"}, "tags": {"t1": {"value": "vozamcts", "type": "binaRy"}}},
|
||
{"metric": f'{stb_name}_8', "timestamp": {"value": 1626006833641, "type": "mS"}, "value": {"value": "vozamcts", "type": "nchAr"}, "tags": {"t1": {"value": "vozamcts", "type": "nchAr"}}},
|
||
{"metric": f'{stb_name}_9', "timestamp": {"value": 1626006833642, "type": "MS"}, "value": {"value": "vozamcts", "type": "nchAr"}, "tags": {"t1": {"value": "vozamcts", "type": "nchAr"}}},
|
||
{"metric": f'{stb_name}_10', "timestamp": {"value": 1626006834, "type": "S"}, "value": {"value": "vozamcts", "type": "nchAr"}, "tags": {"t1": {"value": "vozamcts", "type": "nchAr"}}}]
|
||
|
||
for input_sql in input_json_list:
|
||
stb_name = input_sql["metric"]
|
||
self.resCmp(input_sql, stb_name)
|
||
|
||
def tbnameTagsColsNameCheckCase(self):
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = {'metric': 'rFa$sta', 'timestamp': {'value': 1626006834, 'type': 's'}, 'value': {'value': True, 'type': 'bool'}, 'tags': {'Tt!0': {'value': False, 'type': 'bool'}, 'tT@1': {'value': 127, 'type': 'tinyint'}, 't@2': {'value': 32767, 'type': 'smallint'}, 't$3': {'value': 2147483647, 'type': 'int'}, 't%4': {'value': 9223372036854775807, 'type': 'bigint'}, 't^5': {'value': 11.12345027923584, 'type': 'float'}, 't&6': {'value': 22.123456789, 'type': 'double'}, 't*7': {'value': 'binaryTagValue', 'type': 'binary'}, 't!@#$%^&*()_+[];:<>?,9': {'value': 'ncharTagValue', 'type': 'nchar'}, 'id': 'rFas$ta_1'}}
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
query_sql = 'select * from `rFa$sta`'
|
||
query_res = tdSql.query(query_sql, True)
|
||
tdSql.checkEqual(query_res, [(datetime.datetime(2021, 7, 11, 20, 33, 54), True, 'rFas$ta_1', 'ncharTagValue', 2147483647, 9223372036854775807, 22.123456789, 'binaryTagValue', 32767, 11.12345027923584, False, 127)])
|
||
col_tag_res = tdSql.getColNameList(query_sql)
|
||
tdSql.checkEqual(col_tag_res, ['_ts', '_value', 'id', 't!@#$%^&*()_+[];:<>?,9', 't$3', 't%4', 't&6', 't*7', 't@2', 't^5', 'Tt!0', 'tT@1'])
|
||
tdSql.execute('drop table `rFa$sta`')
|
||
|
||
def pointTransCheckCase(self, value_type="obj"):
|
||
"""
|
||
metric value "." trans to "_"
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genFullTypeJson(point_trans_tag=True, value_type=value_type)[0]
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
tdSql.execute("drop table `.point.trans.test`")
|
||
|
||
def genSqlList(self, count=5, stb_name="", tb_name="", value_type="obj"):
|
||
"""
|
||
stb --> supertable
|
||
tb --> table
|
||
ts --> timestamp, same default
|
||
col --> column, same default
|
||
tag --> tag, same default
|
||
d --> different
|
||
s --> same
|
||
a --> add
|
||
m --> minus
|
||
"""
|
||
d_stb_d_tb_list = list()
|
||
s_stb_s_tb_list = list()
|
||
s_stb_s_tb_a_tag_list = list()
|
||
s_stb_s_tb_m_tag_list = list()
|
||
s_stb_d_tb_list = list()
|
||
s_stb_d_tb_m_tag_list = list()
|
||
s_stb_d_tb_a_tag_list = list()
|
||
s_stb_s_tb_d_ts_list = list()
|
||
s_stb_s_tb_d_ts_m_tag_list = list()
|
||
s_stb_s_tb_d_ts_a_tag_list = list()
|
||
s_stb_d_tb_d_ts_list = list()
|
||
s_stb_d_tb_d_ts_m_tag_list = list()
|
||
s_stb_d_tb_d_ts_a_tag_list = list()
|
||
for i in range(count):
|
||
d_stb_d_tb_list.append(self.genFullTypeJson(col_value=self.genTsColValue(value=True, t_type="bool", value_type=value_type), tag_value=self.genTagValue(t0_value=True, value_type=value_type)))
|
||
s_stb_s_tb_list.append(self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type)))
|
||
s_stb_s_tb_a_tag_list.append(self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), t_add_tag=True))
|
||
s_stb_s_tb_m_tag_list.append(self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), t_mul_tag=True))
|
||
s_stb_d_tb_list.append(self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True))
|
||
s_stb_d_tb_m_tag_list.append(self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True, t_mul_tag=True))
|
||
s_stb_d_tb_a_tag_list.append(self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True, t_add_tag=True))
|
||
s_stb_s_tb_d_ts_list.append(self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), ts_value = self.genTsColValue(1626006833639000000, "ns")))
|
||
s_stb_s_tb_d_ts_m_tag_list.append(self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), ts_value = self.genTsColValue(1626006833639000000, "ns"), t_mul_tag=True))
|
||
s_stb_s_tb_d_ts_a_tag_list.append(self.genFullTypeJson(stb_name=stb_name, tb_name=tb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), ts_value = self.genTsColValue(1626006833639000000, "ns"), t_add_tag=True))
|
||
s_stb_d_tb_d_ts_list.append(self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True, ts_value = self.genTsColValue(1626006833639000000, "ns")))
|
||
s_stb_d_tb_d_ts_m_tag_list.append(self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True, ts_value = self.genTsColValue(0, "ns"), t_mul_tag=True))
|
||
s_stb_d_tb_d_ts_a_tag_list.append(self.genFullTypeJson(stb_name=stb_name, col_value=self.genTsColValue(value=tdCom.getLongName(8, "letters"), t_type="binary", value_type=value_type), tag_value=self.genTagValue(t7_value=tdCom.getLongName(8, "letters"), value_type=value_type), id_noexist_tag=True, ts_value = self.genTsColValue(0, "ns"), t_add_tag=True))
|
||
|
||
return d_stb_d_tb_list, s_stb_s_tb_list, s_stb_s_tb_a_tag_list, s_stb_s_tb_m_tag_list, \
|
||
s_stb_d_tb_list, s_stb_d_tb_m_tag_list, s_stb_d_tb_a_tag_list, s_stb_s_tb_d_ts_list, \
|
||
s_stb_s_tb_d_ts_m_tag_list, s_stb_s_tb_d_ts_a_tag_list, s_stb_d_tb_d_ts_list, \
|
||
s_stb_d_tb_d_ts_m_tag_list, s_stb_d_tb_d_ts_a_tag_list
|
||
|
||
def genMultiThreadSeq(self, sql_list):
|
||
tlist = list()
|
||
for insert_sql in sql_list:
|
||
t = threading.Thread(target=self._conn.schemaless_insert,args=([json.dumps(insert_sql[0])], TDSmlProtocolType.JSON.value, None))
|
||
tlist.append(t)
|
||
return tlist
|
||
|
||
def multiThreadRun(self, tlist):
|
||
for t in tlist:
|
||
t.start()
|
||
for t in tlist:
|
||
t.join()
|
||
|
||
def stbInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input different stb
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json = self.genSqlList(value_type=value_type)[0]
|
||
self.multiThreadRun(self.genMultiThreadSeq(input_json))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(5)
|
||
|
||
def sStbStbDdataInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input same stb tb, different data, result keep first data
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value="binaryTagValue", t_type="binary", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_s_tb_list = self.genSqlList(stb_name=stb_name, tb_name=tb_name, value_type=value_type)[1]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_s_tb_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(1)
|
||
expected_tb_name = self.getNoIdTbName(stb_name)[0]
|
||
tdSql.checkEqual(tb_name, expected_tb_name)
|
||
tdSql.query(f"select * from {stb_name};")
|
||
tdSql.checkRows(1)
|
||
|
||
def sStbStbDdataAtInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input same stb tb, different data, add columes and tags, result keep first data
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value="binaryTagValue", t_type="binary", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_s_tb_a_tag_list = self.genSqlList(stb_name=stb_name, tb_name=tb_name, value_type=value_type)[2]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_s_tb_a_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(1)
|
||
expected_tb_name = self.getNoIdTbName(stb_name)[0]
|
||
tdSql.checkEqual(tb_name, expected_tb_name)
|
||
tdSql.query(f"select * from {stb_name};")
|
||
tdSql.checkRows(1)
|
||
|
||
def sStbStbDdataMtInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input same stb tb, different data, minus columes and tags, result keep first data
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value="binaryTagValue", t_type="binary", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_s_tb_m_tag_list = self.genSqlList(stb_name=stb_name, tb_name=tb_name, value_type=value_type)[3]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_s_tb_m_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(1)
|
||
expected_tb_name = self.getNoIdTbName(stb_name)[0]
|
||
tdSql.checkEqual(tb_name, expected_tb_name)
|
||
tdSql.query(f"select * from {stb_name};")
|
||
tdSql.checkRows(1)
|
||
|
||
def sStbDtbDdataInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input same stb, different tb, different data
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value="binaryTagValue", t_type="binary", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_d_tb_list = self.genSqlList(stb_name=stb_name, value_type=value_type)[4]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_d_tb_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(6)
|
||
|
||
def sStbDtbDdataMtInsertMultiThreadCheckCase(self):
|
||
"""
|
||
thread input same stb, different tb, different data, add col, mul tag
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value="binaryTagValue", t_type="binary"))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_d_tb_m_tag_list = [({"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": "omfdhyom", "tags": {"t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": "vqowydbc", "tags": {"t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": "plgkckpv", "tags": {"t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": "cujyqvlj", "tags": {"t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 1626006833639000000, "type": "ns"}, "value": "twjxisat", "tags": {"t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}}}, 'yzwswz')]
|
||
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_d_tb_m_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(2)
|
||
|
||
def sStbDtbDdataAtInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input same stb, different tb, different data, add tag, mul col
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value="binaryTagValue", t_type="binary", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_d_tb_a_tag_list = self.genSqlList(stb_name=stb_name, value_type=value_type)[6]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_d_tb_a_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(6)
|
||
|
||
def sStbStbDdataDtsInsertMultiThreadCheckCase(self):
|
||
"""
|
||
thread input same stb tb, different ts
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value="binaryTagValue", t_type="binary"))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_s_tb_d_ts_list = [({"metric": stb_name, "timestamp": {"value": 0, "type": "ns"}, "value": "hkgjiwdj", "tags": {"id": tb_name, "t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}, "t7": {"value": "vozamcts", "type": "binary"}, "t8": {"value": "ncharTagValue", "type": "nchar"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 0, "type": "ns"}, "value": "rljjrrul", "tags": {"id": tb_name, "t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}, "t7": {"value": "bmcanhbs", "type": "binary"}, "t8": {"value": "ncharTagValue", "type": "nchar"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 0, "type": "ns"}, "value": "basanglx", "tags": {"id": tb_name, "t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}, "t7": {"value": "enqkyvmb", "type": "binary"}, "t8": {"value": "ncharTagValue", "type": "nchar"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 0, "type": "ns"}, "value": "clsajzpp", "tags": {"id": tb_name, "t0": {"value": False, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}, "t7": {"value": "eivaegjk", "type": "binary"}, "t8": {"value": "ncharTagValue", "type": "nchar"}}}, 'yzwswz'),
|
||
({"metric": stb_name, "timestamp": {"value": 0, "type": "ns"}, "value": "jitwseso", "tags": {"id": tb_name, "t0": {"value": True, "type": "bool"}, "t1": {"value": 127, "type": "tinyint"}, "t2": {"value": 32767, "type": "smallint"}, "t3": {"value": 2147483647, "type": "int"}, "t4": {"value": 9223372036854775807, "type": "bigint"}, "t5": {"value": 11.12345, "type": "float"}, "t6": {"value": 22.123456789, "type": "double"}, "t7": {"value": "yhlwkddq", "type": "binary"}, "t8": {"value": "ncharTagValue", "type": "nchar"}}}, 'yzwswz')]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_s_tb_d_ts_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(1)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(6)
|
||
|
||
def sStbStbDdataDtsMtInsertMultiThreadCheckCase(self):
|
||
"""
|
||
thread input same stb tb, different ts, add col, mul tag
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value="binaryTagValue", t_type="binary"))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_s_tb_d_ts_m_tag_list = [({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'pjndapjb', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'tuzsfrom', 'type': 'binary'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'llqzvgvw', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'nttjdzgi', 'type': 'binary'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'tclbosqc', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'uatpzgpi', 'type': 'binary'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'rlpuzodt', 'tags': {'t0': {'value': True, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'cwnpdnng', 'type': 'binary'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'rhnikvfq', 'tags': {'t0': {'value': True, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'afcibyeb', 'type': 'binary'}, 'id': tb_name}}, 'punftb')]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_s_tb_d_ts_m_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(1)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(6)
|
||
tdSql.query(f"select * from {stb_name} where t8 is not NULL")
|
||
tdSql.checkRows(6)
|
||
|
||
def sStbStbDdataDtsAtInsertMultiThreadCheckCase(self):
|
||
"""
|
||
thread input same stb tb, different ts, add tag, mul col
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
tb_name = tdCom.getLongName(7, "letters")
|
||
input_json, stb_name = self.genFullTypeJson(tb_name=tb_name, col_value=self.genTsColValue(value="binaryTagValue", t_type="binary"))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_s_tb_d_ts_a_tag_list = [({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'pjndapjb', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'tuzsfrom', 'type': 'binary'}, 't8': {'value': 'ncharTagValue', 'type': 'nchar'}, 't11': {'value': 127, 'type': 'tinyint'}, 't10': {'value': 'ncharTagValue', 'type': 'nchar'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'llqzvgvw', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'nttjdzgi', 'type': 'binary'}, 't8': {'value': 'ncharTagValue', 'type': 'nchar'}, 't11': {'value': 127, 'type': 'tinyint'}, 't10': {'value': 'ncharTagValue', 'type': 'nchar'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': {'value': 'tclbosqc', 'type': 'binary'}, 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'uatpzgpi', 'type': 'binary'}, 't8': {'value': 'ncharTagValue', 'type': 'nchar'}, 't11': {'value': 127, 'type': 'tinyint'}, 't10': {'value': 'ncharTagValue', 'type': 'nchar'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'rlpuzodt', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'cwnpdnng', 'type': 'binary'}, 't8': {'value': 'ncharTagValue', 'type': 'nchar'}, 't11': {'value': 127, 'type': 'tinyint'}, 't10': {'value': 'ncharTagValue', 'type': 'nchar'}, 'id': tb_name}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': {'value': 'rhnikvfq', 'type': 'binary'}, 'tags': {'t0': {'value': True, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}, 't7': {'value': 'afcibyeb', 'type': 'binary'}, 't8': {'value': 'ncharTagValue', 'type': 'nchar'}, 't11': {'value': 127, 'type': 'tinyint'}, 't10': {'value': 'ncharTagValue', 'type': 'nchar'}, 'id': tb_name}}, 'punftb')]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_s_tb_d_ts_a_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(1)
|
||
tdSql.query(f"select * from {stb_name}")
|
||
tdSql.checkRows(6)
|
||
for t in ["t10", "t11"]:
|
||
tdSql.query(f"select * from {stb_name} where {t} is not NULL;")
|
||
tdSql.checkRows(0)
|
||
|
||
def sStbDtbDdataDtsInsertMultiThreadCheckCase(self, value_type="obj"):
|
||
"""
|
||
thread input same stb, different tb, data, ts
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value="binaryTagValue", t_type="binary", value_type=value_type))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_d_tb_d_ts_list = self.genSqlList(stb_name=stb_name, value_type=value_type)[10]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_d_tb_d_ts_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(6)
|
||
|
||
def sStbDtbDdataDtsMtInsertMultiThreadCheckCase(self):
|
||
"""
|
||
thread input same stb, different tb, data, ts, add col, mul tag
|
||
"""
|
||
tdLog.info(f'{sys._getframe().f_code.co_name}() function is running')
|
||
tdCom.cleanTb()
|
||
input_json, stb_name = self.genFullTypeJson(col_value=self.genTsColValue(value="binaryTagValue", t_type="binary"))
|
||
self.resCmp(input_json, stb_name)
|
||
s_stb_d_tb_d_ts_m_tag_list = [({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'pjndapjb', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': {'value': 'llqzvgvw', 'type': 'binary'}, 'tags': {'t0': {'value': True, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': 'tclbosqc', 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': {'value': 'rlpuzodt', 'type': 'binary'}, 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}}}, 'punftb'),
|
||
({'metric': stb_name, 'timestamp': {'value': 0, 'type': 'ns'}, 'value': {'value': 'rhnikvfq', 'type': 'binary'}, 'tags': {'t0': {'value': False, 'type': 'bool'}, 't1': {'value': 127, 'type': 'tinyint'}, 't2': {'value': 32767, 'type': 'smallint'}, 't3': {'value': 2147483647, 'type': 'int'}, 't4': {"value": 9223372036854775807, "type": "bigint"}, 't5': {'value': 11.12345027923584, 'type': 'float'}, 't6': {'value': 22.123456789, 'type': 'double'}}}, 'punftb')]
|
||
self.multiThreadRun(self.genMultiThreadSeq(s_stb_d_tb_d_ts_m_tag_list))
|
||
tdSql.query(f"show tables;")
|
||
tdSql.checkRows(3)
|
||
|
||
def test(self):
|
||
try:
|
||
input_json = f'test_nchar 0 L"涛思数据" t0=f,t1=L"涛思数据",t2=32767i16,t3=2147483647i32,t4=9223372036854775807i64,t5=11.12345f32,t6=22.123456789f64'
|
||
self._conn.schemaless_insert([json.dumps(input_json)], TDSmlProtocolType.JSON.value, None)
|
||
# input_json, stb_name = self.genFullTypeJson()
|
||
# self.resCmp(input_json, stb_name)
|
||
except SchemalessError as err:
|
||
print(err.errno)
|
||
|
||
def runAll(self):
|
||
for value_type in ["obj", "default"]:
|
||
self.initCheckCase(value_type)
|
||
self.symbolsCheckCase(value_type)
|
||
# self.tsCheckCase(value_type)
|
||
self.idSeqCheckCase(value_type)
|
||
self.idLetterCheckCase(value_type)
|
||
self.noIdCheckCase(value_type)
|
||
self.maxColTagCheckCase(value_type)
|
||
self.idIllegalNameCheckCase(value_type)
|
||
self.idStartWithNumCheckCase(value_type)
|
||
self.nowTsCheckCase(value_type)
|
||
self.dateFormatTsCheckCase(value_type)
|
||
self.illegalTsCheckCase(value_type)
|
||
self.tbnameCheckCase(value_type)
|
||
# self.tagValueLengthCheckCase(value_type)
|
||
self.colValueLengthCheckCase(value_type)
|
||
self.tagColIllegalValueCheckCase(value_type)
|
||
# self.duplicateIdTagColInsertCheckCase(value_type)
|
||
self.noIdStbExistCheckCase(value_type)
|
||
self.duplicateInsertExistCheckCase(value_type)
|
||
# self.tagColBinaryNcharLengthCheckCase(value_type)
|
||
# self.tagColAddDupIDCheckCase(value_type)
|
||
# self.tagAddCheckCase(value_type)
|
||
# self.tagMd5Check(value_type)
|
||
# self.tagColBinaryMaxLengthCheckCase(value_type)
|
||
# self.tagColNcharMaxLengthCheckCase(value_type)
|
||
# self.batchInsertCheckCase(value_type)
|
||
# self.multiInsertCheckCase(10, value_type)
|
||
self.multiColsInsertCheckCase(value_type)
|
||
self.blankColInsertCheckCase(value_type)
|
||
self.blankTagInsertCheckCase(value_type)
|
||
self.multiFieldCheckCase(value_type)
|
||
# self.stbInsertMultiThreadCheckCase(value_type)
|
||
self.pointTransCheckCase(value_type)
|
||
self.tagNameLengthCheckCase()
|
||
self.boolTypeCheckCase()
|
||
self.batchErrorInsertCheckCase()
|
||
self.chineseCheckCase()
|
||
# self.spellCheckCase()
|
||
self.tbnameTagsColsNameCheckCase()
|
||
# # MultiThreads
|
||
# self.sStbStbDdataInsertMultiThreadCheckCase()
|
||
# self.sStbStbDdataAtInsertMultiThreadCheckCase()
|
||
# self.sStbStbDdataMtInsertMultiThreadCheckCase()
|
||
# self.sStbDtbDdataInsertMultiThreadCheckCase()
|
||
# self.sStbDtbDdataAtInsertMultiThreadCheckCase()
|
||
# self.sStbDtbDdataDtsInsertMultiThreadCheckCase()
|
||
# self.sStbDtbDdataMtInsertMultiThreadCheckCase()
|
||
# self.sStbStbDdataDtsInsertMultiThreadCheckCase()
|
||
# self.sStbStbDdataDtsMtInsertMultiThreadCheckCase()
|
||
# self.sStbDtbDdataDtsMtInsertMultiThreadCheckCase()
|
||
# self.lengthIcreaseCrashCheckCase()
|
||
|
||
def run(self):
|
||
print("running {}".format(__file__))
|
||
self.createDb()
|
||
try:
|
||
self.runAll()
|
||
except Exception as err:
|
||
print(''.join(traceback.format_exception(None, err, err.__traceback__)))
|
||
raise err
|
||
|
||
def stop(self):
|
||
tdSql.close()
|
||
tdLog.success("%s successfully executed" % __file__)
|
||
|
||
tdCases.addWindows(__file__, TDTestCase())
|
||
tdCases.addLinux(__file__, TDTestCase())
|