本文将介绍如何使用Python连接SQL Server及Oracle数据库,并将返回结果转换为Pandas DataFrame格式,便于后期数据分析。
1. Python连接SQL Server
1.1 安装pyodbc库
pyodbc is an open source Python module that makes accessing ODBC databases simple.
pyodbbc官方文档:https://docs.microsoft.com/en-us/sql/connect/python/pyodbc/python-sql-driver-pyodbc?view=sql-server-ver15
pip install pyodbc
1.2 完整代码
# import packagesimport pandas as pdimport pyodbc# set connection parametersserver = 'abc.xxx.com\SQLEXPRESS'database = 'mydatabase'username = 'myuser'password = 'mypassword'CONN = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER='+server+';DATABASE='+database+';UID='+username+';PWD='+ password)SQL = 'SELECT * FROM [mydatabase].[dbo].[mytable]'# query in database and return DataFramedf = pd.read_sql_query(SQL,CONN)
2. Python连接Oracle数据库
2.1 安装cx_Oracle库
cx_Oracle is a Python extension module that enables access to Oracle Database.
cx_Oracle官方文档:https://oracle.github.io/python-cx_Oracle/
安装过程可能会遇到版本兼容问题,参见官方文档:https://cx-oracle.readthedocs.io/en/latest/user_guide/installation.html
注意:Oracle Instance Client的版本须于cx_Oracle版本对应,如都为64位软件。
pip install cx_Oracle
2.2 完整代码
# import packagesimport cx_Oracleimport pandas as pd# set connection parametershost= "myserver"port = 38000service_name = "myservicename"username = "myusername"password = "mypassword"dsn = cx_Oracle.makedsn(host=host, port=port, service_name=service_name)CONN = cx_Oracle.connect(user=username,password=password,dsn=dsn,encoding="UTF-8")SQL = 'select * from mytable'df = pd.read_sql_query(SQL,CONN)
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