Merge pull request #4379 from taosdata/xiaoping/add_test_case2
[TD-2109] <test> add test case
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import taos
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import datetime
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import random
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import multiprocessing
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def taos_excute(table, connect_host):
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conn = taos.connect(host=connect_host, user="root", password="taosdata", config="/etc/taos", database='test')
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cursor = conn.cursor()
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for i in range(1000000):
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pk = random.randint(100001, 300000)
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time_now = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
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col1 = random.randint(1, 10000)
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col2 = random.randint(1, 10000)
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col3 = random.randint(1, 10000)
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col4 = random.randint(1, 10000)
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col5 = random.randint(1, 10000)
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col6 = random.randint(1, 10000)
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sql = f"INSERT INTO {table}_{pk} USING {table} TAGS ({pk}) VALUES ('{time_now}', {col1}, {col2}, {col3}, {col4}, {col5}, {col6})"
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cursor.execute(sql)
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cursor.close()
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conn.close()
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def taos_init(table, connect_host, pk):
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conn = taos.connect(host=connect_host, user="root", password="taosdata", config="/etc/taos", database='test')
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cursor = conn.cursor()
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sql = f"CREATE TABLE {table}_{pk} USING {table} TAGS ({pk})"
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cursor.execute(sql)
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cursor.close()
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conn.close()
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print("init time:", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
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connect_list = ["node1", "node2", "node3", "node4", "node5"]
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pool = multiprocessing.Pool(processes=108)
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for pk in range(100001, 300000):
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pool.apply_async(func=taos_init, args=("test", connect_list[pk % 5], pk, ))
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print("start time:", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
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for i in range(10000):
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pool.apply_async(func=taos_excute, args=("test", connect_list[i % 5],))
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pool.close()
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pool.join()
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print("end time:", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
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###################################################################
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# Copyright (c) 2016 by TAOS Technologies, Inc.
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# All rights reserved.
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#
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# This file is proprietary and confidential to TAOS Technologies.
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# No part of this file may be reproduced, stored, transmitted,
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# disclosed or used in any form or by any means other than as
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# expressly provided by the written permission from Jianhui Tao
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#
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###################################################################
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# -*- coding: utf-8 -*-
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import sys
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import taos
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from util.log import tdLog
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from util.cases import tdCases
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from util.sql import tdSql
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import time
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import datetime
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import csv
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import random
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import pandas as pd
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class TDTestCase:
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def init(self, conn, logSql):
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tdLog.debug("start to execute %s" % __file__)
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tdSql.init(conn.cursor(), logSql)
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self.ts = 1500074556514
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def writeCSV(self):
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with open('test3.csv','w', encoding='utf-8', newline='') as csvFile:
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writer = csv.writer(csvFile, dialect='excel')
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for i in range(1000000):
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newTimestamp = self.ts + random.randint(10000000, 10000000000) + random.randint(1000, 10000000) + random.randint(1, 1000)
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d = datetime.datetime.fromtimestamp(newTimestamp / 1000)
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dt = str(d.strftime("%Y-%m-%d %H:%M:%S.%f"))
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writer.writerow(["'%s'" % dt, random.randint(1, 100), random.uniform(1, 100), random.randint(1, 100), random.randint(1, 100)])
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def removCSVHeader(self):
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data = pd.read_csv("ordered.csv")
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data = data.drop([0])
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data.to_csv("ordered.csv", header = False, index = False)
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def run(self):
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tdSql.prepare()
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tdSql.execute("create table t1(ts timestamp, c1 int, c2 float, c3 int, c4 int)")
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startTime = time.time()
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tdSql.execute("insert into t1 file 'outoforder.csv'")
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duration = time.time() - startTime
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print("Out of Order - Insert time: %d" % duration)
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tdSql.query("select count(*) from t1")
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rows = tdSql.getData(0, 0)
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tdSql.execute("create table t2(ts timestamp, c1 int, c2 float, c3 int, c4 int)")
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startTime = time.time()
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tdSql.execute("insert into t2 file 'ordered.csv'")
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duration = time.time() - startTime
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print("Ordered - Insert time: %d" % duration)
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tdSql.query("select count(*) from t2")
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tdSql.checkData(0,0, rows)
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def stop(self):
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tdSql.close()
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tdLog.success("%s successfully executed" % __file__)
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tdCases.addWindows(__file__, TDTestCase())
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tdCases.addLinux(__file__, TDTestCase())
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