Ready to get started?

Learn more about the CData JDBC Driver for LDAP or download a free trial:

Download Now

Connect to LDAP Objects in HULFT Integrate

Connect to LDAP 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 LDAP, HULFT Integrate can work with live LDAP objects. This article walks through connecting to LDAP 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 LDAP objects. When you issue complex SQL queries to LDAP, the driver pushes supported SQL operations, like filters and aggregations, directly to LDAP 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 LDAP objects using native data types.

Enable Access to LDAP

To enable access to LDAP objects from HULFT Integrate projects:

  1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.ldap.jar (and cdata.jdbc.ldap.lic), to the jdbc_adapter subfolder for the Integrate Server
  2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to LDAP Objects

Once you copy the JAR files, you can create a project with access to LDAP objects. Start by opening Integrate Studio and creating a new project.

  1. Name the project
  2. Ensure the "Create script" checkbox is checked
  3. Click Next
  4. Name the script (e.g.: LDAPtoCSV)

Once you create the project, add components to the script to copy LDAP objects 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.

  1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for LDAP. Set the following properties:
    • Name: LDAP Connection Settings
    • Driver class name: cdata.jdbc.ldap.LDAPDriver
    • URL: jdbc:ldap:User=Domain\BobF;Password=bob123456;Server=10.0.1.1;Port=389;

      Built-in Connection String Designer

      For assistance constructing the JDBC URL, use the connection string designer built into the LDAP JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

      java -jar cdata.jdbc.ldap.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      To establish a connection, the following properties under the Authentication section must be provided:

      • Valid User and Password credentials (e.g., Domain\BobF or cn=Bob F,ou=Employees,dc=Domain).
      • Server information, including the IP or host name of the Server, as well as the Port.
      • BaseDN: This will limit the scope of LDAP searches to the height of the distinguished name provided.

        Note: Specifying a narrow BaseDN may greatly increase performance; for example, cn=users,dc=domain will only return results contained within cn=users and its children.

  2. Write your SQL statement. For example:
    SELECT Id, LogonCount FROM User
  3. Click "Extraction test" to ensure the connection and query are configured properly
  4. Click "Execute SQL statement and set output schema"
  5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

  1. Set a file to write the query results to (e.g. User.csv)
  2. Set "Input data" to the "Select SQL" component
  3. Add columns for each field selected in the SQL query
  4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
  5. Click "Finish"

Map LDAP 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 LDAP objects into a CSV file.

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