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Connect to SharePoint as a JDBC data source in HULFT Integrate
HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for SharePoint, HULFT Integrate can work with live SharePoint data. This article walks through connecting to SharePoint and moving the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live SharePoint data. When you issue complex SQL queries to SharePoint, the driver pushes supported SQL operations, like filters and aggregations, directly to SharePoint and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze SharePoint data using native data types.
About SharePoint Data Integration
Accessing and integrating live data from SharePoint has never been easier with CData. Customers rely on CData connectivity to:
- Access data from a wide range of SharePoint versions, including Windows SharePoint Services 3.0, Microsoft Office SharePoint Server 2007 and above, and SharePoint Online.
- Access all of SharePoint thanks to support for Hidden and Lookup columns.
- Recursively scan folders to create a relational model of all SharePoint data.
- Use SQL stored procedures to upload and download documents and attachments.
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.
Getting Started
Enable Access to SharePoint
To enable access to SharePoint data from HULFT Integrate projects:
- Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.sharepoint.jar (and cdata.jdbc.sharepoint.lic), to the jdbc_adapter subfolder for the Integrate Server
- Restart the HULFT Integrate Server and launch HULFT Integrate Studio
Build a Project with Access to SharePoint Data
Once you copy the JAR files, you can create a project with access to SharePoint data. Start by opening Integrate Studio and creating a new project.
- Name the project
- Ensure the "Create script" checkbox is checked
- Click Next
- Name the script (e.g.: SharePointtoCSV)
Once you create the project, add components to the script to copy SharePoint data to a CSV file.
Configure an Execute Select SQL Component
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
- In the "Required settings" tab for the Destination, click "Add" to create a new connection for SharePoint. Set the following properties:
- Name: SharePoint Connection Settings
- Driver class name: cdata.jdbc.sharepoint.SharePointDriver
- URL: jdbc:sharepoint:User=myuseraccount;Password=mypassword;Auth Scheme=NTLM;URL=http://sharepointserver/mysite;SharePointEdition=SharePointOnPremise;
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the SharePoint JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.sharepoint.jar
Fill in the connection properties and copy the connection string to the clipboard.
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
- Write your SQL statement. For example:
SELECT Name, Revenue FROM MyCustomList
- Click "Extraction test" to ensure the connection and query are configured properly
- Click "Execute SQL statement and set output schema"
- Click "Finish"
Configure a Write CSV File Component
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
- Set a file to write the query results to (e.g. MyCustomList.csv)
- Set "Input data" to the "Select SQL" component
- Add columns for each field selected in the SQL query
- In the "Write settings" tab, check the checkbox to "Insert column names into first row"
- Click "Finish"
Map SharePoint Fields to the CSV Columns
Map each column from the "Select" component to the corresponding column for the "CSV" component.
Finish the Script
Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move SharePoint data into a CSV file.

Download a free, 30-day trial of the CData JDBC Driver for SharePoint and start working with your live SharePoint data in HULFT Integrate. Reach out to our Support Team if you have any questions.