python 连接MS sql server2005数据库

在google上有个开源的项目叫pymssql

项目地址：https://code.google.com/p/pymssql/

看来段代码

import pymssql
conn = pymssql.connect(host='192.168.1.1',port='1433', user='user', password='password', database='mydatabase', as_dict=True)
cur = conn.cursor()

cur.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')
for row in cur:
    print "ID=%d, Name=%s" % (row['id'], row['name'])

conn.close()

第一行导入

第二个连接ip为192.168.1.1端口为1433的mydatabase数据库

第四行就是查询表

下面就是遍历表里面的数据很简单吧。

调用存储过程

import pymssql
conn = pymssql.connect(host='192.168.1.1','1433', user='user', password='password', database='mydatabase', as_dict=True)
cur = conn.cursor()

cur.callproc('findPerson', ('John Doe',))
for row in cur:
    print "ID=%d, Name=%s" % (row['id'], row['name'])

conn.close()

创建表

import pymssql
conn = pymssql.connect(host='SQL01', user='user', password='password', database='mydatabase')
cur = conn.cursor()
cur.execute('CREATE TABLE persons(id INT, name VARCHAR(100))')
cur.executemany("INSERT INTO persons VALUES(%d, %s)", 
    [ (1, 'John Doe'), (2, 'Jane Doe') ])
conn.commit()  # you must call commit() to persist your data if you don't set autocommit to True

cur.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')
row = cur.fetchone()
while row:
    print "ID=%d, Name=%s" % (row[0], row[1])
    row = cur.fetchone()

# if you call execute() with one argument, you can use % sign as usual
# (it loses its special meaning).
cur.execute("SELECT * FROM persons WHERE salesrep LIKE 'J%'")

conn.close()