未验证 提交 fc98ada8 编写于 作者: S Shengliang Guan 提交者: GitHub

Merge pull request #4162 from taosdata/wangyazhou/TD-1988

[TD-1988]<test> add query_performance.py
import time
import taos
import csv
import numpy as np
import random
import os
import requests
import json
import sys
"""
需要第三方库: taos,requests,numpy
当前机器已经启动taosd服务
使用方法见底部示例
"""
class Ding:
"""
发送消息到钉钉,
urls: 钉钉群的token组成的list,可以发多个钉钉群,需要提前加白名单或其他放行策略
at_mobiles: 需要@的人的手机号组成的list
msg: 要发送的str
"""
def __init__(self, url_list, at_mobiles):
self.urls = url_list
self.at_mobiles = at_mobiles
def send_message(self, msg):
data1 = {
"msgtype": "text",
"text": {
"content": msg
},
"at": {
"atMobiles": self.at_mobiles,
"isAtAll": False
}
}
header = {'Content-Type': 'application/json; charset=utf-8'}
for url in self.urls:
requests.post(url=url, data=json.dumps(data1), headers=header)
class TDConn:
def __init__(self, config:dict):
self.host = config['host']
self.user = config['user']
self.password = config['password']
self.config = config['config']
self.conn = None
self.cursor = None
def connect(self):
conn = taos.connect(host=self.host, user=self.user, password=self.password, config=self.config)
cursor = conn.cursor()
self.conn = conn
self.cursor = cursor
print('connect ...')
return self.cursor
def close(self):
self.cursor.close()
self.conn.close()
print('close ... ')
class Tool:
"""
可能有用
"""
@staticmethod
def str_gen(num):
return ''.join(random.sample('abcdefghijklmnopqrstuvwxyz', num))
@staticmethod
def float_gen(n, m):
return random.uniform(n, m)
@staticmethod
def int_gen(n, m):
return random.randint(n, m)
class Demo:
def __init__(self, engine):
self.engine = engine['engine'](engine['config'])
self.cursor = self.engine.connect()
def date_gen(self, db, number_per_table, type_of_cols, num_of_cols_per_record, num_of_tables):
"""
:目前都是 taosdemo 的参数
:return:
"""
sql = 'yes | sudo taosdemo -d {db} -n {number_per_table} -b {type_of_cols} -l {num_of_cols_per_record} ' \
'-t {num_of_tables}'.format(db=db, number_per_table=number_per_table, type_of_cols=type_of_cols,
num_of_cols_per_record=num_of_cols_per_record, num_of_tables=num_of_tables)
os.system(sql)
print('insert data completed')
# def main(self, db, circle, csv_name, case_func, result_csv, nums, ding_flag):
def main(self, every_num_per_table, result_csv, all_result_csv, values):
db = values['db_name']
number_per_table = every_num_per_table
type_of_cols = values['col_type']
num_of_cols_per_record = values['col_num']
num_of_tables = values['table_num']
self.date_gen(db=db, number_per_table=number_per_table, type_of_cols=type_of_cols,
num_of_cols_per_record=num_of_cols_per_record, num_of_tables=num_of_tables)
circle = values['circle']
# print(every_num_per_table, result_csv, values)
csv_name = result_csv
case_func = values['sql_func']
nums = num_of_tables * number_per_table
ding_flag = values['ding_flag']
_data = []
f = open(csv_name,'w',encoding='utf-8')
f1 = open(all_result_csv,'a',encoding='utf-8')
csv_writer = csv.writer(f)
csv_writer1 = csv.writer(f1)
csv_writer.writerow(["number", "elapse", 'sql'])
self.cursor.execute('use {db};'.format(db=db))
for i in range(circle):
self.cursor.execute('reset query cache;')
sql = case_func()
start = time.time()
self.cursor.execute(sql)
self.cursor.fetchall()
end = time.time()
_data.append(end-start)
elapse = '%.4f' %(end -start)
print(sql, i, elapse, '\n')
csv_writer.writerow([i+1, elapse, sql])
# time.sleep(1)
_list = [nums, np.mean(_data)]
_str = '总数据: %s 条 , table数: %s , 每个table数据数: %s , 数据类型: %s \n' % \
(nums, num_of_tables, number_per_table, type_of_cols)
# print('avg : ', np.mean(_data), '\n')
_str += '平均值 : %.4f 秒\n' % np.mean(_data)
for each in (50, 80, 90, 95):
_list.append(np.percentile(_data,each))
_str += ' %d 分位数 : %.4f 秒\n' % (each , np.percentile(_data,each))
print(_str)
if ding_flag:
ding = Ding(values['ding_config']['urls'], values['ding_config']['at_mobiles'])
ding.send_message(_str)
csv_writer1.writerow(_list)
f.close()
f1.close()
self.engine.close()
def run(engine, test_cases: dict, result_dir):
for each_case, values in test_cases.items():
for every_num_per_table in values['number_per_table']:
result_csv = result_dir + '{case}_table{table_num}_{number_per_table}.csv'.\
format(case=each_case, table_num=values['table_num'], number_per_table=every_num_per_table)
all_result_csv = result_dir + '{case_all}_result.csv'.format(case_all=each_case)
d = Demo(engine)
# print(each_case, result_csv)
d.main(every_num_per_table, result_csv, all_result_csv, values)
if __name__ == '__main__':
"""
测试用例在test_cases中添加。
result_dir: 报告生成目录,会生成每次测试结果,和具体某一用例的统计结果.需注意目录权限需要执行用户可写。
case1、case2 : 具体用例名称
engine: 数据库引擎,目前只有taosd。使用时需开启taosd服务。
table_num: 造数据时的table数目
circle: 循环测试次数,求平均值
number_per_table:需要传list,多个数值代表会按照list内的数值逐个测试
col_num:table col的数目
col_type: 表中数据类型
db_name: 造数据的db名,默认用test
sql_func: 当前测试的sql方法,需要自己定义
ding_flag: 如果需要钉钉发送数据,flag设置真值,
ding_config: 如ding_flag 设置为真值,此项才有意义。ding_flag为假时此项可以为空。urls传入一list,内容为要发送的群的token,
需提前设置白名单,at_mobiles传入一list,内容为在群内需要@的人的手机号
"""
engine_dict = {
'taosd': {'engine': TDConn, 'config':
{'host': '127.0.0.1', 'user': 'root', 'password': 'taosdata', 'config':'/etc/taos'}}
}
def case1():
return 'select * from meters where f1 = {n};'.format(n=random.randint(1,30))
def case2():
return 'select * from meters where f1 = %.4f;' %random.uniform(1,30)
result_dir = '/usr/local/demo/benchmarktestdata/'
test_cases = {
'case1': {'engine':'taosd', 'table_num': 10, 'circle': 100, 'number_per_table':[10, 100], 'col_num': 5,
'col_type': 'INT', 'db_name': 'test', 'sql_func': case1, 'ding_flag': True,
'ding_config':
{'urls': [r'https://oapi.dingtalk.com/robot/send?access_token=xxxxxxx0cd93'],
'at_mobiles':[17000000000,],}},
'case2': {'engine':'taosd', 'table_num': 10, 'circle': 50, 'number_per_table':[10, 100], 'col_num': 5,
'col_type': 'FLOAT', 'db_name': 'test', 'sql_func': case2, 'ding_flag': False,
'ding_config': None
}
}
run(engine_dict['taosd'], test_cases, result_dir)
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