################################################################### # Copyright (c) 2016 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 sys import taos from util.log import tdLog from util.cases import tdCases from util.sql import tdSql class TDTestCase: def init(self, conn, logSql): tdLog.debug("start to execute %s" % __file__) tdSql.init(conn.cursor(), logSql) self.ts = 1537146000000 def run(self): tdSql.prepare() print("==============step1") tdSql.execute( "create table if not exists stb (ts timestamp, col1 int, col2 int, col3 int) tags(loc nchar(20), id int)") currTs = self.ts for i in range(100): sql = "create table tb%d using stb tags('city%d', 1)" % (i, i) tdSql.execute(sql) sql = "insert into tb%d values" % i for j in range(5): val = 1 + j sql += "(%d, %d, %d, %d)" % (currTs, val, val, val) currTs += 1000000 tdSql.execute(sql) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h)") tdSql.checkRows(139) tdSql.checkData(0, 1, -1.5) tdSql.checkData(138, 1, -1.0) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h) fill(none)") tdSql.checkRows(139) tdSql.checkData(0, 1, -1.5) tdSql.checkData(138, 1, -1.0) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h) fill(value, 2.0)") tdSql.checkRows(141) tdSql.checkData(0, 1, 2.0) tdSql.checkData(140, 1, 2.0) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h) fill(prev)") tdSql.checkRows(141) tdSql.checkData(0, 1, None) tdSql.checkData(140, 1, -1.0) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h) fill(null)") tdSql.checkRows(141) tdSql.checkData(0, 1, None) tdSql.checkData(140, 1, None) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h) fill(linear)") tdSql.checkRows(141) tdSql.checkData(0, 1, None) tdSql.checkData(140, 1, None) tdSql.query("select first(col1) - avg(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' interval(1h) fill(next)") tdSql.checkRows(141) tdSql.checkData(0, 1, -1.5) tdSql.checkData(140, 1, None) tdSql.query("select max(col1) - min(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' and id = 1 group by loc, id") rows = tdSql.queryRows tdSql.query("select spread(col1) from stb where ts > '2018-09-17 08:00:00.000' and ts < '2018-09-23 04:36:40.000' and id = 1 group by loc, id") tdSql.checkRows(rows) # case for TD-14782 tdSql.execute("drop database if exists dd ") tdSql.execute("create database dd keep 36500") tdSql.execute("use dd") tdSql.execute("create stable stable_1(ts timestamp , q_double double ) tags(loc nchar(100))") tdSql.execute("create table stable_1_1 using stable_1 tags('stable_1_1')") tdSql.execute("create table stable_1_2 using stable_1 tags('stable_1_2')") tdSql.execute("insert into stable_1_1 (ts , q_double) values(1630000000000, 1)(1630000010000, 2)(1630000020000, 3)") tdSql.query("select STDDEV(q_double) from stable_1 where ts between 1630000001000 and 1630100001000 interval(18d) sliding(4d) Fill(NEXT) order by ts desc") tdSql.checkRows(4) tdSql.checkData(0, 1, 0.5) tdSql.checkData(1, 1, 0.5) tdSql.checkData(2, 1, 0.5) tdSql.checkData(3, 1, 0.5) def stop(self): tdSql.close() tdLog.success("%s successfully executed" % __file__) tdCases.addWindows(__file__, TDTestCase()) tdCases.addLinux(__file__, TDTestCase())