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Connect to SFTP 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 SFTP, HULFT Integrate can work with live SFTP data. This article walks through connecting to SFTP 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 SFTP data. When you issue complex SQL queries to SFTP, the driver pushes supported SQL operations, like filters and aggregations, directly to SFTP 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 SFTP data using native data types.
Enable Access to SFTP
To enable access to SFTP data from HULFT Integrate projects:
- Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.sftp.jar (and cdata.jdbc.sftp.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 SFTP Data
Once you copy the JAR files, you can create a project with access to SFTP 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.: SFTPtoCSV)
Once you create the project, add components to the script to copy SFTP 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 SFTP. Set the following properties:
- Name: SFTP Connection Settings
- Driver class name: cdata.jdbc.sftp.SFTPDriver
- URL: jdbc:sftp:RemoteHost=MyFTPServer;
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the SFTP JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.sftp.jar
Fill in the connection properties and copy the connection string to the clipboard.
SFTP can be used to transfer files to and from SFTP servers using the SFTP Protocol. To connect, specify the RemoteHost;. service uses the User and Password and public key authentication (SSHClientCert). Choose an SSHAuthMode and specify connection values based on your selection.
Set the following connection properties to control the relational view of the file system:
- RemotePath: Set this to the current working directory.
- TableDepth: Set this to control the depth of subfolders to report as views.
- FileRetrievalDepth: Set this to retrieve files recursively and list them in the Root table.
- Write your SQL statement. For example:
SELECT Filesize, Filename FROM MyDirectory
- 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. MyDirectory.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 SFTP 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 SFTP data into a CSV file.

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