python连接mysql与redis（ssh方式）

python如何连接数据库（SSH方式）

性能测试时，有个支付订单的场景，需要用到已生成的订单code，如何获取订单code？

一，通过Jmeter连接数据库获取。二，直接mysql导出数据

我这里是使用python导出mysql数据，使用的SSH方式：

import pymysql
import csv
import pandas as pd
from sshtunnel import SSHTunnelForwarder # ssh连接库
import base64


orderCode_path = r"D:/t_order.csv"  # 保存地址

def mysql_ssh(sql,args=None):
    with SSHTunnelForwarder(
            ('SSH_IP', SSH_端口号),
            ssh_password='SSH密码',
            ssh_username='SSH用户名',
            local_bind_address=('127.0.0.1', 22), # 本地绑定端口
            remote_bind_address=('远程数据库地址', 3306)) as server:
        print('SSH连接成功')
        conn = pymysql.connect(host='127.0.0.1',
                               port=22,
                               user='数据库名',
                               password='数据库登录密码',
                               database='数据库登录账号',
                               charset='utf8')
        print('mysql数据库连接成功')
        cursor = conn.cursor()
        print('游标获取成功')
        try:
            print(f'执行查询语句：{sql}  参数：{args}')
            cursor.execute(sql,args)
            print('数据查询成功')
            conn.commit()
            print('事务提交成功')
            datas = cursor.fetchall()
            success = True
        except:
            print('数据查询失败')
            datas = None
            success = False
        print('正在关闭数据库连接')
        cursor.close()
        conn.close()
    return datas, success

def execute_sql(sql):
    try:
        result = []
        datas = mysql_ssh(sql)
        if datas[-1]:
            print(f"共找到{len(datas[0])}个数据")
            result = list(datas[0])
            try:
                datas_write(result)
            except Exception as error:
                print(error)
            else:
                result.clear()
        else:
            print('数据查询失败')
    except Exception as e:
        print(e)

def datas_write(a):
    dataframe = pd.DataFrame(a)
    dataframe.to_csv(orderCode_path, mode= 'w', index=False, sep=',',header=["orderCode", "userId"])
    print("写入成功！")

if __name__ == "__main__":
    sql = r"SELECT order_code,user_id FROM `t_order`;"      # 导出所有的订单code
    execute_sql(sql)

还遇到一个需要用户token的场景，用户token是存在redis的，于是通过python获取redis的数据，SSH方式如下：

import redis
import pandas as pd
from sshtunnel import SSHTunnelForwarder # ssh连接库


token_path = r".\login_token.csv"  # redis数据保存路径
server = SSHTunnelForwarder(
        ssh_address_or_host= ('SSH地址',22),   # ssh地址
        ssh_username= "SSH用户", # ssh连接的用户名
        ssh_password=  "SSH用户密码" , 
        remote_bind_address=('远程redis地址', 6379))

def execute_sql():
    try:
        r = redis.Redis(host='127.0.0.1', port=server.local_bind_port, decode_responses=True, password='redis密码', db=0, encoding='gb18030')  #encoding可以不加
        print("连接成功")
        keys = r.keys(pattern="*userId*")
        print(f"共找到{len(keys)}个数据")
        result = []
        for i in keys:
            try:
                result.append(r.get(i))
            except Exception as e:
                print("{}不存在".format(i))
                result = None
    except Exception as e:
        print(e)
    print(f"共保存{len(result)}个数据")
    return result


def token_write(a):
    dataframe = pd.DataFrame({'token': a})
    dataframe.to_csv(token_path, mode= 'a', index=False, sep=',',header=False)
    print("写入成功！")


if __name__ == "__main__":
    server.start()
    token = execute_sql()
    token_write(token)
    server.close()