python连接sql server数据库实现增删改查

最新推荐文章于 2021-12-11 22:13:52 发布

转载最新推荐文章于 2021-12-11 22:13:52 发布 · 3.7k 阅读

文章标签：

#python

python 专栏收录该内容

21 篇文章

订阅专栏

本文介绍如何使用PyMSSQL和_mssql模块进行SQL Server数据库的操作，包括连接数据库、创建表、插入数据、查询数据、调用存储过程等基本功能，并提供了丰富的代码示例。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

1）基本语法

import pymssql server = "187.32.43.13" # 连接服务器地址

user = "root"　　　　　　　　 # 连接帐号

password = "1234"　　　　　　# 连接密码

conn = pymssql.connect(server, user, password, "连接默认数据库名称") #获取连接

cursor = conn.cursor() # 获取光标

# 创建表

cursor.execute("""IF OBJECT_ID('persons', 'U') IS NOT NULL DROP TABLE personsCREATE TABLE persons ( id INT NOT NULL, name VARCHAR(100), salesrep VARCHAR(100), PRIMARY KEY(id))""")　　

# 插入多行数据

cursor.executemany("INSERT INTO persons VALUES (%d, %s, %s)",

[(1, 'John Smith', 'John Doe'),

(2, 'Jane Doe', 'Joe Dog'),

(3, 'Mike T.', 'Sarah H.')])

# 你必须调用 commit() 来保持你数据的提交如果你没有将自动提交设置为true

conn.commit()

# 查询数据

cursor.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')

# 遍历数据（存放到元组中）方式1

row = cursor.fetchone()

while row:

print("ID=%d, Name=%s" % (row[0], row[1]))

row = cursor.fetchone()

# 遍历数据（存放到元组中）方式2

for row in cursor:

print('row = %r' % (row,))

# 遍历数据（存放到字典中）

cursor = conn.cursor(as_dict=True)

cursor.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')

for row in cursor:

print("ID=%d, Name=%s" % (row['id'], row['name']))

conn.close() # 关闭连接

# 注：在任何时候，在一个连接下，一次正在执行的数据库操作只会出现一个cursor对象

2）同时，如果你可以使用另一种语法：with 来避免手动关闭cursors和connection连接

import pymssql server = "187.32.43.13"# 连接服务器地址

user = "root"# 连接帐号

password = "1234"# 连接密码

with pymssql.connect(server, user, password, "你的连接默认数据库名称") as conn:

with conn.cursor(as_dict=True) as cursor: # 数据存放到字典中

cursor.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')

for row in cursor:

print("ID=%d, Name=%s" % (row['id'], row['name']))

3）调用存储过程：

with pymssql.connect(server, user, password, "tempdb") as conn:

with conn.cursor(as_dict=True) as cursor:

cursor.execute("""CREATE PROCEDURE FindPerson @name VARCHAR(100) AS BEGIN SELECT * FROM persons WHERE name = @name END """)

cursor.callproc('FindPerson', ('Jane Doe',))

for row in cursor:

print("ID=%d, Name=%s" % (row['id'], row['name']))

2.使用_mssql连接sql server数据库并实现操作（官方api http://www.pymssql.org/en/stable/ref/_mssql.html）

1）基本语法：

import _mssql# 创建连接conn = _mssql.connect(server='SQL01', user='user', password='password', \ database='mydatabase')

print(conn.timeout)

print(conn.login_timeout)

# 创建tableconn.execute_non_query('CREATE TABLE persons(id INT, name VARCHAR(100))')

# insert数据conn.execute_non_query("INSERT INTO persons VALUES(1, 'John Doe')")conn.execute_non_query("INSERT INTO persons VALUES(2, 'Jane Doe')")

# 查询操作conn.execute_query('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')for row in conn: print"ID=%d, Name=%s" % (row['id'], row['name'])

#查询数量count()numemployees = conn.execute_scalar("SELECT COUNT(*) FROM employees")# 查询一条数据employeedata = conn.execute_row("SELECT * FROM employees WHERE id=%d", 13)# 带参数查询的几个例子：conn.execute_query('SELECT * FROM empl WHERE id=%d', 13)conn.execute_query('SELECT * FROM empl WHERE name=%s', 'JohnDoe')

conn.execute_query('SELECT * FROM empl WHERE id IN (%s)', ((5, 6),))

conn.execute_query('SELECT * FROM empl WHERE name LIKE %s', 'J%')

conn.execute_query('SELECT * FROM empl WHERE name=%(name)s AND city=%(city)s', \ { 'name': 'John Doe', 'city': 'Nowhere' } )

conn.execute_query('SELECT * FROM cust WHERE salesrep=%s AND id IN (%s)', \ ('John Doe', (1, 2, 3)))

conn.execute_query('SELECT * FROM empl WHERE id IN (%s)', (tuple(xrange(4)),))conn.execute_query('SELECT * FROM empl WHERE id IN (%s)', \ (tuple([3, 5, 7, 11]),))#关闭连接conn.close()

附python的具体实现

#!/usr/bin/env python

#coding=utf-8

from __future__ import with_statement

from contextlib import closing

import inspect

import pymssql

import uuid

import datetime

#查询操作

with closing(pymssql.connect(host='localhost',user='sa',password='pppp',database='blogs')) as conn :

cur = conn.cursor()