diff --git a/tests/system-test/1-insert/opentsdb_json_taosc_insert.py b/tests/system-test/1-insert/opentsdb_json_taosc_insert.py new file mode 100644 index 0000000000000000000000000000000000000000..360d878dfeb48184a162016bb9499caa5c7fcacc --- /dev/null +++ b/tests/system-test/1-insert/opentsdb_json_taosc_insert.py @@ -0,0 +1,1788 @@ +################################################################### +# Copyright (c) 2021 by TAOS Technologies, Inc. +# All rights reserved. +# +# This file is proprietary and confidential to TAOS Technologies. +# No part of this file may be reproduced, stored, transmitted, +# disclosed or used in any form or by any means other than as +# expressly provided by the written permission from Jianhui Tao +# +################################################################### + +# -*- coding: utf-8 -*- + +import traceback +import random +from taos.error import SchemalessError +import time +from util.log import * +from util.cases import * +from util.sql import * +from util.common import tdCom +from util.types import TDSmlProtocolType +import threading +import json + +class TDTestCase: + def init(self, conn, logSql): + tdLog.debug("start to execute %s" % __file__) + tdSql.init(conn.cursor(), logSql) + self._conn = conn + self.defaultJSONStrType_value = "NCHAR" + + def createDb(self, name="test", db_update_tag=0, protocol=None): + if protocol == "telnet-tcp": + name = "opentsdb_telnet" + + if db_update_tag == 0: + tdSql.execute(f"drop database if exists {name}") + tdSql.execute(f"create database if not exists {name} precision 'ms'") + else: + tdSql.execute(f"drop database if exists {name}") + tdSql.execute(f"create database if not exists {name} precision 'ms' update 1") + tdSql.execute(f'use {name}') + + def timeTrans(self, time_value): + if type(time_value) is int: + if time_value != 0: + if len(str(time_value)) == 13: + ts = int(time_value)/1000 + elif len(str(time_value)) == 10: + ts = int(time_value)/1 + else: + ts = time_value/1000000 + else: + ts = time.time() + elif type(time_value) is dict: + if time_value["type"].lower() == "ns": + ts = time_value["value"]/1000000000 + elif time_value["type"].lower() == "us": + ts = time_value["value"]/1000000 + elif time_value["type"].lower() == "ms": + ts = time_value["value"]/1000 + elif time_value["type"].lower() == "s": + ts = time_value["value"]/1 + else: + ts = time_value["value"]/1000000 + ulsec = repr(ts).split('.')[1][:6] + if len(ulsec) < 6 and int(ulsec) != 0: + ulsec = int(ulsec) * (10 ** (6 - len(ulsec))) + elif int(ulsec) == 0: + ulsec *= 6 + # * follow two rows added for tsCheckCase + td_ts = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(ts)) + return td_ts + #td_ts = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(ts)) + td_ts = time.strftime("%Y-%m-%d %H:%M:%S.{}".format(ulsec), time.localtime(ts)) + return td_ts + + def dateToTs(self, datetime_input): + return int(time.mktime(time.strptime(datetime_input, "%Y-%m-%d %H:%M:%S.%f"))) + + def typeTrans(self, type_list): + type_num_list = [] + for tp in type_list: + if type(tp) is dict: + tp = tp['type'] + if tp.upper() == "TIMESTAMP": + type_num_list.append(9) + elif tp.upper() == "BOOL": + type_num_list.append(1) + elif tp.upper() == "TINYINT": + type_num_list.append(2) + elif tp.upper() == "SMALLINT": + type_num_list.append(3) + elif tp.upper() == "INT": + type_num_list.append(4) + elif tp.upper() == "BIGINT": + type_num_list.append(5) + elif tp.upper() == "FLOAT": + type_num_list.append(6) + elif tp.upper() == "DOUBLE": + type_num_list.append(7) + elif tp.upper() == "VARCHAR": + type_num_list.append(8) + elif tp.upper() == "NCHAR": + type_num_list.append(10) + elif tp.upper() == "BIGINT UNSIGNED": + type_num_list.append(14) + return type_num_list + + def inputHandle(self, input_json): + stb_name = input_json["metric"] + stb_tag_dict = input_json["tags"] + stb_col_dict = input_json["value"] + ts_value = self.timeTrans(input_json["timestamp"]) + tag_name_list = [] + tag_value_list = [] + td_tag_value_list = [] + td_tag_type_list = [] + + col_name_list = [] + col_value_list = [] + td_col_value_list = [] + td_col_type_list = [] + + # handle tag + for key,value in stb_tag_dict.items(): + if "id" == key.lower(): + tb_name = value + else: + if type(value) is dict: + tag_value_list.append(str(value["value"])) + td_tag_value_list.append(str(value["value"])) + tag_name_list.append(key.lower()) + if value["type"].lower() == "binary": + td_tag_type_list.append("VARCHAR") + else: + td_tag_type_list.append(value["type"].upper()) + tb_name = "" + else: + tag_value_list.append(str(value)) + # td_tag_value_list.append(str(value)) + tag_name_list.append(key.lower()) + tb_name = "" + + if type(value) is bool: + td_tag_type_list.append("BOOL") + td_tag_value_list.append(str(value)) + elif type(value) is int: + td_tag_type_list.append("DOUBLE") + td_tag_value_list.append(str(float(value))) + elif type(value) is float: + td_tag_type_list.append("DOUBLE") + td_tag_value_list.append(str(float(value))) + elif type(value) is str: + if self.defaultJSONStrType_value == "NCHAR": + td_tag_type_list.append("NCHAR") + td_tag_value_list.append(str(value)) + else: + td_tag_type_list.append("VARCHAR") + td_tag_value_list.append(str(value)) + + # handle col + if type(stb_col_dict) is dict: + if stb_col_dict["type"].lower() == "bool": + bool_value = f'{stb_col_dict["value"]}' + col_value_list.append(bool_value) + td_col_type_list.append(stb_col_dict["type"].upper()) + col_name_list.append("_value") + td_col_value_list.append(str(stb_col_dict["value"])) + else: + col_value_list.append(stb_col_dict["value"]) + if stb_col_dict["type"].lower() == "binary": + td_col_type_list.append("VARCHAR") + else: + td_col_type_list.append(stb_col_dict["type"].upper()) + col_name_list.append("_value") + td_col_value_list.append(str(stb_col_dict["value"])) + else: + col_name_list.append("_value") + col_value_list.append(str(stb_col_dict)) + # td_col_value_list.append(str(stb_col_dict)) + if type(stb_col_dict) is bool: + td_col_type_list.append("BOOL") + td_col_value_list.append(str(stb_col_dict)) + elif type(stb_col_dict) is int: + td_col_type_list.append("DOUBLE") + td_col_value_list.append(str(float(stb_col_dict))) + elif type(stb_col_dict) is float: + td_col_type_list.append("DOUBLE") + td_col_value_list.append(str(float(stb_col_dict))) + elif type(stb_col_dict) is str: + if self.defaultJSONStrType_value == "NCHAR": + td_col_type_list.append("NCHAR") + td_col_value_list.append(str(stb_col_dict)) + else: + td_col_type_list.append("VARCHAR") + td_col_value_list.append(str(stb_col_dict)) + + final_field_list = [] + final_field_list.extend(col_name_list) + final_field_list.extend(tag_name_list) + + final_type_list = [] + final_type_list.append("TIMESTAMP") + final_type_list.extend(td_col_type_list) + final_type_list.extend(td_tag_type_list) + final_type_list = self.typeTrans(final_type_list) + + final_value_list = [] + final_value_list.append(ts_value) + final_value_list.extend(td_col_value_list) + final_value_list.extend(td_tag_value_list) + return final_value_list, final_field_list, final_type_list, stb_name, tb_name + + def genTsColValue(self, value, t_type=None, value_type="obj"): + if value_type == "obj": + if t_type == None: + ts_col_value = value + else: + ts_col_value = {"value": value, "type": t_type} + elif value_type == "default": + ts_col_value = value + return ts_col_value + + def genTagValue(self, t0_type="bool", t0_value="", t1_type="tinyint", t1_value=127, t2_type="smallint", t2_value=32767, + t3_type="int", t3_value=2147483647, t4_type="bigint", t4_value=9223372036854775807, + t5_type="float", t5_value=11.12345027923584, t6_type="double", t6_value=22.123456789, + t7_type="binary", t7_value="binaryTagValue", t8_type="nchar", t8_value="ncharTagValue", value_type="obj"): + if t0_value == "": + t0_value = random.choice([True, False]) + if value_type == "obj": + tag_value = { + "t0": {"value": t0_value, "type": t0_type}, + "t1": {"value": t1_value, "type": t1_type}, + "t2": {"value": t2_value, "type": t2_type}, + "t3": {"value": t3_value, "type": t3_type}, + "t4": {"value": t4_value, "type": t4_type}, + "t5": {"value": t5_value, "type": t5_type}, + "t6": {"value": t6_value, "type": t6_type}, + "t7": {"value": t7_value, "type": t7_type}, + "t8": {"value": t8_value, "type": t8_type} + } + elif value_type == "default": + # t5_value = t6_value + tag_value = { + "t0": t0_value, + "t1": t1_value, + "t2": t2_value, + "t3": t3_value, + "t4": t4_value, + "t5": t5_value, + "t6": t6_value, + "t7": t7_value, + "t8": t8_value + } + return tag_value + + def genFullTypeJson(self, ts_value="", col_value="", tag_value="", stb_name="", tb_name="", + id_noexist_tag=None, id_change_tag=None, id_upper_tag=None, id_mixul_tag=None, id_double_tag=None, + t_add_tag=None, t_mul_tag=None, c_multi_tag=None, c_blank_tag=None, t_blank_tag=None, + chinese_tag=None, multi_field_tag=None, point_trans_tag=None, value_type="obj"): + if value_type == "obj": + if stb_name == "": + stb_name = tdCom.getLongName(6, "letters") + if tb_name == "": + tb_name = f'{stb_name}_{random.randint(0, 65535)}_{random.randint(0, 65535)}' + if ts_value == "": + ts_value = self.genTsColValue(1626006833639000000, "ns") + if col_value == "": + col_value = self.genTsColValue(random.choice([True, False]), "bool") + if tag_value == "": + tag_value = self.genTagValue() + # if id_upper_tag is not None: + # id = "ID" + # else: + # id = "id" + # if id_mixul_tag is not None: + # id = random.choice(["iD", "Id"]) + # else: + # id = "id" + # if id_noexist_tag is None: + # tag_value[id] = tb_name + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if id_noexist_tag is not None: + if t_add_tag is not None: + tag_value["t9"] = {"value": "ncharTagValue", "type": "nchar"} + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if id_change_tag is not None: + tag_value.pop('t8') + tag_value["t8"] = {"value": "ncharTagValue", "type": "nchar"} + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if id_double_tag is not None: + tag_value["ID"] = f'"{tb_name}_2"' + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if t_add_tag is not None: + tag_value["t10"] = {"value": "ncharTagValue", "type": "nchar"} + tag_value["t11"] = {"value": True, "type": "bool"} + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if t_mul_tag is not None: + tag_value.pop('t8') + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if c_multi_tag is not None: + col_value = [{"value": True, "type": "bool"}, {"value": False, "type": "bool"}] + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if t_blank_tag is not None: + tag_value = "" + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if chinese_tag is not None: + tag_value = {"t0": {"value": "涛思数据", "type": "nchar"}} + col_value = {"value": "涛思数据", "type": "nchar"} + 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: + sql_json = {"metric": ".point.trans.test", "timestamp": ts_value, "value": col_value, "tags": tag_value} + + elif value_type == "default": + if stb_name == "": + stb_name = tdCom.getLongName(6, "letters") + if tb_name == "": + tb_name = f'{stb_name}_{random.randint(0, 65535)}_{random.randint(0, 65535)}' + if ts_value == "": + ts_value = 1626006834 + if col_value == "": + col_value = random.choice([True, False]) + if tag_value == "": + tag_value = self.genTagValue(value_type=value_type) + # if id_upper_tag is not None: + # id = "ID" + # else: + # id = "id" + # if id_mixul_tag is not None: + # id = "iD" + # else: + # id = "id" + # if id_noexist_tag is None: + # tag_value[id] = tb_name + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if id_noexist_tag is not None: + if t_add_tag is not None: + tag_value["t9"] = {"value": "ncharTagValue", "type": "nchar"} + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if id_change_tag is not None: + tag_value.pop('t7') + tag_value["t7"] = {"value": "ncharTagValue", "type": "nchar"} + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if id_double_tag is not None: + tag_value["ID"] = f'"{tb_name}_2"' + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if t_add_tag is not None: + tag_value["t10"] = {"value": "ncharTagValue", "type": "nchar"} + tag_value["t11"] = True + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if t_mul_tag is not None: + tag_value.pop('t7') + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if c_multi_tag is not None: + col_value = True,False + sql_json = {"metric": stb_name, "timestamp": ts_value, "value": col_value, "tags": tag_value} + if t_blank_tag is not None: + 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: + sql_json = {"metric": ".point.trans.test", "timestamp": ts_value, "value": col_value, "tags": tag_value} + return sql_json, stb_name + + def genMulTagColDict(self, genType, count=1, value_type="obj"): + """ + genType must be tag/col + """ + tag_dict = dict() + col_dict = dict() + if value_type == "obj": + if genType == "tag": + for i in range(0, count): + tag_dict[f't{i}'] = {'value': True, 'type': 'bool'} + return tag_dict + if genType == "col": + col_dict = {'value': True, 'type': 'bool'} + return col_dict + elif value_type == "default": + if genType == "tag": + for i in range(0, count): + tag_dict[f't{i}'] = True + return tag_dict + if genType == "col": + col_dict = True + return col_dict + + 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'") + 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'") + 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'") + 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())