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The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for SharePoint from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for SharePoint as well as PyCharm.
Accessing and integrating live data from SharePoint has never been easier with CData. Customers rely on CData connectivity to:
Most customers rely on CData solutions to integrate SharePoint data into their database or data warehouse, while others integrate their SharePoint data with preferred data tools, like Power BI, Tableau, or Excel.
For more information on how customers are solving problems with CData's SharePoint solutions, refer to our blog: Drivers in Focus: Collaboration Tools.
Follow the steps below to add the pyodbc module to your project.
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
Set the URL property to the base SharePoint site or to a sub-site. This allows you to query any lists and other SharePoint entities defined for the site or sub-site.
The User and Password properties, under the Authentication section, must be set to valid SharePoint user credentials when using SharePoint On-Premise.
If you are connecting to SharePoint Online, set the SharePointEdition to SHAREPOINTONLINE along with the User and Password connection string properties. For more details on connecting to SharePoint Online, see the "Getting Started" chapter of the help documentation
Below is the syntax for a DSN:
[CData SharePoint Source] Driver = CData ODBC Driver for SharePoint Description = My Description User = myuseraccount Password = mypassword Auth Scheme = NTLM URL = http://sharepointserver/mysite SharePointEdition = SharePointOnPremise
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for SharePoint};User = myuseraccount;Password = mypassword;Auth Scheme = NTLM;URL = http://sharepointserver/mysite;SharePointEdition = SharePointOnPremise;')
cursor = cnxn.cursor()
cursor.execute("SELECT Name, Revenue FROM MyCustomList WHERE Location = 'Chapel Hill'")
rows = cursor.fetchall()
for row in rows:
print(row.Name, row.Revenue)
After connecting to SharePoint in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to SharePoint data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].
Download a free trial of the SharePoint ODBC Driver to get started:
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👁 SharePoint IconThe SharePoint ODBC Driver is a powerful tool that allows you to connect with live data from SharePoint and SharePoint Online, directly from any applications that support ODBC connectivity.
Access SharePoint data like you would a database - read, write, and update SharePoint Lists, Contacts, Calendar, Links, Tasks, etc. through a standard ODBC Driver interface.