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python操作数据库-SQLSERVER-pyodbc

时间:2021-07-01 10:21:17 帮助过:26人阅读

su #Download appropriate package for the OS version #Choose only ONE of the following, corresponding to your OS version #RedHat Enterprise Server 6 curl https://packages.microsoft.com/config/rhel/6/prod.repo > /etc/yum.repos.d/mssql-release.repo #RedHat Enterprise Server 7 curl https://packages.microsoft.com/config/rhel/7/prod.repo > /etc/yum.repos.d/mssql-release.repo #RedHat Enterprise Server 8 and Oracle Linux 8 curl https://packages.microsoft.com/config/rhel/8/prod.repo > /etc/yum.repos.d/mssql-release.repo exit sudo yum remove unixODBC-utf16 unixODBC-utf16-devel #to avoid conflicts sudo ACCEPT_EULA=Y yum install msodbcsql17 # optional: for bcp and sqlcmd sudo ACCEPT_EULA=Y yum install mssql-tools echo export PATH="$PATH:/opt/mssql-tools/bin" >> ~/.bash_profile echo export PATH="$PATH:/opt/mssql-tools/bin" >> ~/.bashrc source ~/.bashrc # optional: for unixODBC development headers sudo yum install unixODBC-devel

完成odbc驱动的安装后,依赖环境就已经完成了

2、安装pyodbc

这个只要pip安装下就好了。

pip install pyodbc

3、如何使用pyodbc进行t-sql操作

1)简单查询

import pyodbc 
# Some other example server values are
# server = localhost\sqlexpress # 实列名称
# server = myserver,port # 如果实例是有特殊端口号的,默认1433
server = tcp:myserver.database.windows.net 
database = mydb 
username = myusername 
password = mypassword 
cnxn = pyodbc.connect(DRIVER={ODBC Driver 17 for SQL Server};SERVER=+server+;DATABASE=+database+;UID=+username+;PWD=+ password)
cursor = cnxn.cursor()

cursor.execute("SELECT @@version;") 
row = cursor.fetchone() 
while row: 
    print(row[0])
    row = cursor.fetchone()

2)执行操作

cursor.execute("""
INSERT INTO SalesLT.Product (Name, ProductNumber, StandardCost, ListPrice, SellStartDate) 
VALUES (?,?,?,?,?)""",
SQL Server Express New 20, SQLEXPRESS New 20, 0, 0, CURRENT_TIMESTAMP) 
cnxn.commit()
row = cursor.fetchone()

while row: 
    print(Inserted Product key is  + str(row[0]))
    row = cursor.fetchone()

3)如何使用window验证

cnxn = pyodbc.connect(DRIVER={ODBC Driver 17 for SQL Server};SERVER=+server+;DATABASE=+database+;Trusted_Connection=yes)

 

python操作数据库-SQLSERVER-pyodbc

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