如何在Navicat Premium的MySQL数据库中导入外部*.sql文件

1.sql文件的导入

参考：https://blog.csdn.net/itas109/article/details/41979311?utm_source=blogxgwz0

https://blog.csdn.net/Kobe_WEZ/article/details/82690847

总结：（1）新建数据库  （2）明确连接属性 （3）“运行SQL文件” 导入文件地址，确认编码信息等  （4）刷新

2.pycharm中读取数据库中的sql文件时出错：

File "C:\Users\Administrator\AppData\Roaming\Python\Python35\site-packages\sqlalchemy\engine\default.py", line 412, in connect
    return self.dbapi.connect(*cargs, **cparams)
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\__init__.py", line 94, in Connect
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\connections.py", line 327, in __init__
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\connections.py", line 598, in connect
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\connections.py", line 856, in _request_authentication
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\connections.py", line 683, in _read_packet
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\protocol.py", line 220, in check_error
  File "D:\应用软件\python\lib\site-packages\pymysql-0.9.2-py3.5.egg\pymysql\err.py", line 109, in raise_mysql_exception
sqlalchemy.exc.OperationalError: (pymysql.err.OperationalError) (1045, "Access denied for user 'root'@'localhost' (using password: YES)") (Background on this error at: http://sqlalche.me/e/e3q8)

其原因是：建立数据库连接的代码中密码的地方写错，记得要改成自己的密码哦。

3.python3.*报“ImportError: No module named ‘MySQLdb'”

https://www.cnblogs.com/TaleG/p/6735099.html

不过最后代码实现时并未加

import pymysql

pymysql.install_as_MySQLdb()

也是可以实现的！

4.读取数据库中数据的代码演示

import pandas as pd
import numpy as np
#import pymysql
#pymysql.install_as_MySQLdb()

from sqlalchemy import create_engine   #需下载Flask-SQLAlchemy
#创建一个mysql连接器，用户名为root，密码为1234，地址为127.0.0.1，数据库名称为testdb，编码为utf8  +pymysql
engine = create_engine('mysql+pymysql://root:[email protected]:\
3306/testdb?charset=utf8')
detail = pd.read_sql_table('meal_order_detail1',con = engine)
detailGroup = detail[['order_id','counts',
      'amounts']].groupby(by = 'order_id')
print('分组后的订单详情表为：',detailGroup)