import datetime from util.log import * from util.sql import * from util.cases import * from util.dnodes import * PRIMARY_COL = "ts" INT_COL = "c1" BINT_COL = "c2" SINT_COL = "c3" TINT_COL = "c4" FLOAT_COL = "c5" DOUBLE_COL = "c6" BOOL_COL = "c7" BINARY_COL = "c8" NCHAR_COL = "c9" TS_COL = "c10" NUM_COL = [ INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, ] CHAR_COL = [ BINARY_COL, NCHAR_COL, ] BOOLEAN_COL = [ BOOL_COL, ] TS_TYPE_COL = [ TS_COL, ] ALL_COL = [ INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, BOOL_COL, BINARY_COL, NCHAR_COL, TS_COL ] DBNAME = "db" class TDTestCase: def init(self, conn, logSql): tdLog.debug(f"start to excute {__file__}") tdSql.init(conn.cursor()) def __query_condition(self,tbname): return [ f"{any_col}" for any_col in ALL_COL ] def __join_condition(self, tb_list, filter=PRIMARY_COL, INNER=False): table_reference = tb_list[0] join_condition = zwtable_reference join = "inner join" if INNER else "join" for i in range(len(tb_list[1:])): join_condition += f" {join} {tb_list[i+1]} on {table_reference}.{filter}={tb_list[i+1]}.{filter}" return join_condition def __where_condition(self, col=None, tbname=None, query_conditon=None): if query_conditon and isinstance(query_conditon, str): if query_conditon.startswith("count"): query_conditon = query_conditon[6:-1] elif query_conditon.startswith("max"): query_conditon = query_conditon[4:-1] elif query_conditon.startswith("sum"): query_conditon = query_conditon[4:-1] elif query_conditon.startswith("min"): query_conditon = query_conditon[4:-1] if query_conditon: return f" where {query_conditon} is not null" if col in NUM_COL: return f" where abs( {tbname}.{col} ) >= 0" if col in CHAR_COL: return f" where lower( {tbname}.{col} ) like 'bina%' or lower( {tbname}.{col} ) like '_cha%' " if col in BOOLEAN_COL: return f" where {tbname}.{col} in (false, true) " if col in TS_TYPE_COL or col in PRIMARY_COL: return f" where cast( {tbname}.{col} as binary(16) ) is not null " return "" def __group_condition(self, col, having = None): if isinstance(col, str): if col.startswith("count"): col = col[6:-1] elif col.startswith("max"): col = col[4:-1] elif col.startswith("sum"): col = col[4:-1] elif col.startswith("min"): col = col[4:-1] return f" group by {col} having {having}" if having else f" group by {col} " def __single_sql(self, select_clause, from_clause, where_condition="", group_condition=""): if isinstance(select_clause, str) and "on" not in from_clause and select_clause.split(".")[0].split("(")[-1] != from_clause.split(".")[0]: return return f"select hyperloglog({select_clause}) from {from_clause} {where_condition} {group_condition}" @property def __tb_list(self, dbname=DBNAME): return [ f"{dbname}.ct1", f"{dbname}.ct4", f"{dbname}.t1", f"{dbname}.ct2", f"{dbname}.stb1", ] def sql_list(self): sqls = [] __no_join_tblist = self.__tb_list for tb in __no_join_tblist: tbname = tb.split(".")[-1] select_claus_list = self.__query_condition(tbname) for select_claus in select_claus_list: group_claus = self.__group_condition(col=select_claus) where_claus = self.__where_condition(query_conditon=select_claus) having_claus = self.__group_condition(col=select_claus, having=f"{select_claus} is not null") sqls.extend( ( self.__single_sql(select_claus, tb, where_claus, having_claus), self.__single_sql(select_claus, tb,), self.__single_sql(select_claus, tb, where_condition=where_claus), self.__single_sql(select_claus, tb, group_condition=group_claus), ) ) # return filter(None, sqls) return list(filter(None, sqls)) def hyperloglog_check(self): sqls = self.sql_list() tdLog.printNoPrefix("===step 1: curent case, must return query OK") for i in range(len(sqls)): tdLog.info(f"sql: {sqls[i]}") tdSql.query(sqls[i]) def __test_current(self, dbname=DBNAME): tdSql.query(f"select hyperloglog(ts) from {dbname}.ct1") tdSql.checkRows(1) tdSql.query(f"select hyperloglog(c1) from {dbname}.ct2") tdSql.checkRows(1) tdSql.query(f"select hyperloglog(c1) from {dbname}.ct4 group by c1") tdSql.checkRows(self.rows + 3) tdSql.query(f"select hyperloglog(c1) from {dbname}.ct4 group by c7") tdSql.checkRows(3) tdSql.query(f"select hyperloglog(ct2.c1) from {dbname}.ct4 ct4 join {dbname}.ct2 ct2 on ct4.ts=ct2.ts") tdSql.checkRows(1) tdSql.checkData(0, 0, self.rows + 2) tdSql.query(f"select hyperloglog(c1), c1 from {dbname}.stb1 group by c1") for i in range(tdSql.queryRows): tdSql.checkData(i, 0, 1) if tdSql.queryResult[i][1] is not None else tdSql.checkData(i, 0, 0) self.hyperloglog_check() def __test_error(self, dbname=DBNAME): tdLog.printNoPrefix("===step 0: err case, must return err") tdSql.error( f"select hyperloglog() from {dbname}.ct1" ) tdSql.error( f"select hyperloglog(c1, c2) from {dbname}.ct2" ) # tdSql.error( f"select hyperloglog(1) from {dbname}.stb1" ) # tdSql.error( f"select hyperloglog(abs(c1)) from {dbname}.ct4" ) tdSql.error( f"select hyperloglog(count(c1)) from {dbname}.t1" ) # tdSql.error( f"select hyperloglog(1) from {dbname}.ct2" ) tdSql.error( f"select hyperloglog({NUM_COL[0]}, {NUM_COL[1]}) from {dbname}.ct4" ) tdSql.error( f'''select hyperloglog(['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10']) from {dbname}.ct1 where ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] is not null group by ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] having ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] is not null''' ) def all_test(self): self.__test_error() self.__test_current() def __create_tb(self, dbname=DBNAME): tdLog.printNoPrefix("==========step1:create table") create_stb_sql = f'''create table {dbname}.stb1( ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint, {FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool, {BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp ) tags (t1 int) ''' create_ntb_sql = f'''create table {dbname}.t1( ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint, {FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool, {BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp ) ''' tdSql.execute(create_stb_sql) tdSql.execute(create_ntb_sql) for i in range(4): tdSql.execute(f'create table {dbname}.ct{i+1} using {dbname}.stb1 tags ( {i+1} )') { i % 32767 }, { i % 127}, { i * 1.11111 }, { i * 1000.1111 }, { i % 2} def __create_stable(self, dbname=DBNAME, stbname='stb',column_dict={'ts':'timestamp','col1': 'tinyint','col2': 'smallint','col3': 'int', 'col4': 'bigint','col5': 'tinyint unsigned','col6': 'smallint unsigned','col7': 'int unsigned', 'col8': 'bigint unsigned','col9': 'float','col10': 'double','col11': 'bool','col12': 'binary(20)','col13': 'nchar(20)'}, tag_dict={'ts_tag':'timestamp','t1': 'tinyint','t2': 'smallint','t3': 'int', 't4': 'bigint','t5': 'tinyint unsigned','t6': 'smallint unsigned','t7': 'int unsigned', 't8': 'bigint unsigned','t9': 'float','t10': 'double','t11': 'bool','t12': 'binary(20)','t13': 'nchar(20)'}): column_sql = '' tag_sql = '' for k,v in column_dict.items(): column_sql += f"{k} {v}," for k,v in tag_dict.items(): tag_sql += f"{k} {v}," tdSql.execute(f'create table if not exists {dbname}.{stbname} ({column_sql[:-1]}) tags({tag_sql[:-1]})') def __hyperloglog_check_distribute(self): dbname = "dbtest" stbname = "stb" childtable_num = 20 vgroups_num = 4 row_num = 10 ts = 1537146000000 binary_str = 'taosdata' nchar_str = '涛思数据' column_dict = { 'ts':'timestamp', 'col1': 'tinyint', 'col2': 'smallint', 'col3': 'int', 'col4': 'bigint', 'col5': 'tinyint unsigned', 'col6': 'smallint unsigned', 'col7': 'int unsigned', 'col8': 'bigint unsigned', 'col9': 'float', 'col10': 'double', 'col11': 'bool', 'col12': 'binary(20)', 'col13': 'nchar(20)' } tag_dict = { 'loc':'nchar(20)' } tdSql.execute(f"create database if not exists {dbname} vgroups {vgroups_num}") tdSql.execute(f'use {dbname}') self.__create_stable(dbname, stbname,column_dict,tag_dict) for i in range(childtable_num): tdSql.execute(f"create table {dbname}.{stbname}_{i} using {dbname}.{stbname} tags('beijing')") tdSql.query(f'show {dbname}.tables') vgroup_list = [] for i in range(len(tdSql.queryResult)): vgroup_list.append(tdSql.queryResult[i][6]) vgroup_list_set = set(vgroup_list) for i in vgroup_list_set: vgroups_num = vgroup_list.count(i) if vgroups_num >=2: tdLog.info(f'This scene with {vgroups_num} vgroups is ok!') continue else: tdLog.exit(f'This scene does not meet the requirements with {vgroups_num} vgroup!\n') for i in range(row_num): tdSql.execute(f"insert into {dbname}.stb_1 values(%d, %d, %d, %d, %d, %d, %d, %d, %d, %f, %f, %d, '{binary_str}%d', '{nchar_str}%d')" % (ts + i, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 0.1, i + 0.1, i % 2, i + 1, i + 1)) for k in column_dict.keys(): tdSql.query(f"select hyperloglog({k}) from {dbname}.{stbname}") tdSql.checkRows(1) tdSql.query(f"select hyperloglog({k}) from {dbname}.{stbname} group by {k}") tdSql.execute(f'drop database {dbname}') def __insert_data(self, rows, dbname=DBNAME): now_time = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000) for i in range(rows): tdSql.execute( f"insert into {dbname}.ct1 values ( { now_time - i * 1000 }, {i}, {11111 * i}, {111 * i % 32767 }, {11 * i % 127}, {1.11*i}, {1100.0011*i}, {i%2}, 'binary{i}', 'nchar_测试_{i}', { now_time + 1 * i } )" ) tdSql.execute( f"insert into {dbname}.ct4 values ( { now_time - i * 7776000000 }, {i}, {11111 * i}, {111 * i % 32767 }, {11 * i % 127}, {1.11*i}, {1100.0011*i}, {i%2}, 'binary{i}', 'nchar_测试_{i}', { now_time + 1 * i } )" ) tdSql.execute( f"insert into {dbname}.ct2 values ( { now_time - i * 7776000000 }, {-i}, {-11111 * i}, {-111 * i % 32767 }, {-11 * i % 127}, {-1.11*i}, {-1100.0011*i}, {i%2}, 'binary{i}', 'nchar_测试_{i}', { now_time + 1 * i } )" ) tdSql.execute( f'''insert into {dbname}.ct1 values ( { now_time - rows * 5 }, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar_测试_0', { now_time + 8 } ) ( { now_time + 10000 }, { rows }, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar_测试_9', { now_time + 9 } ) ''' ) tdSql.execute( f'''insert into {dbname}.ct4 values ( { now_time - rows * 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time - rows * 3888000000 + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time + 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time + 5184000000}, {pow(2,31)-pow(2,15)}, {pow(2,63)-pow(2,30)}, 32767, 127, { 3.3 * pow(10,38) }, { 1.3 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000} ) ( { now_time + 2592000000 }, {pow(2,31)-pow(2,16)}, {pow(2,63)-pow(2,31)}, 32766, 126, { 3.2 * pow(10,38) }, { 1.2 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000} ) ''' ) tdSql.execute( f'''insert into {dbname}.ct2 values ( { now_time - rows * 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time - rows * 3888000000 + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time + 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time + 5184000000 }, { -1 * pow(2,31) + pow(2,15) }, { -1 * pow(2,63) + pow(2,30) }, -32766, -126, { -1 * 3.2 * pow(10,38) }, { -1.2 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000 } ) ( { now_time + 2592000000 }, { -1 * pow(2,31) + pow(2,16) }, { -1 * pow(2,63) + pow(2,31) }, -32767, -127, { - 3.3 * pow(10,38) }, { -1.3 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000 } ) ''' ) for i in range(rows): insert_data = f'''insert into {dbname}.t1 values ( { now_time - i * 3600000 }, {i}, {i * 11111}, { i % 32767 }, { i % 127}, { i * 1.11111 }, { i * 1000.1111 }, { i % 2}, "binary_{i}", "nchar_测试_{i}", { now_time - 1000 * i } ) ''' tdSql.execute(insert_data) tdSql.execute( f'''insert into {dbname}.t1 values ( { now_time + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time - (( rows // 2 ) * 60 + 30) * 60000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time - rows * 3600000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ( { now_time + 7200000 }, { pow(2,31) - pow(2,15) }, { pow(2,63) - pow(2,30) }, 32767, 127, { 3.3 * pow(10,38) }, { 1.3 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000 } ) ( { now_time + 3600000 } , { pow(2,31) - pow(2,16) }, { pow(2,63) - pow(2,31) }, 32766, 126, { 3.2 * pow(10,38) }, { 1.2 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000 } ) ''' ) def run(self): tdSql.prepare(dbname=DBNAME) tdLog.printNoPrefix("==========step1:create table") self.__create_tb(dbname=DBNAME) tdLog.printNoPrefix("==========step2:insert data") self.rows = 10 self.__insert_data(self.rows,dbname=DBNAME) tdLog.printNoPrefix("==========step3:all check") self.all_test() tdSql.execute("flush database db") tdLog.printNoPrefix("==========step4:after wal, all check again ") self.all_test() tdLog.printNoPrefix("==========step5: distribute scene check") self.__hyperloglog_check_distribute() def stop(self): tdSql.close() tdLog.success(f"{__file__} successfully executed") tdCases.addLinux(__file__, TDTestCase()) tdCases.addWindows(__file__, TDTestCase())