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The LDAP ODBC Driver is a powerful tool that allows you to connect with live LDAP directory services, directly from any applications that support ODBC connectivity.

Access LDAP objects like you would a database - define custom tables for any ObjectClass, and then perform SQL queries through a standard ODBC Driver interface.

Connect to and Query LDAP Objects in QlikView over ODBC



Create data visualizations with LDAP objects in QlikView.

The CData ODBC drivers expand your ability to work with data from more than 200 data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to LDAP objects using the CData ODBC driver and create data visualizations in QlikView.

The CData ODBC drivers offer unmatched performance for interacting with live LDAP objects in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView 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 (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze LDAP objects using native QlikView data types.

Connect to LDAP as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Populate a Chart with LDAP Objects

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT Id, LogonCount FROM User
  1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
  2. On the Data tab, select ODBC in the Database menu and click Connect.
  3. Select the DSN (CData LDAP Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData LDAP Sys];
  4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard). SQL SELECT Id, LogonCount FROM User;

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to LDAP, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.

  5. Close the script editor and reload the document to execute the script.
  6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from LDAP, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select Id in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select LogonCount in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for LDAP connects to live LDAP objects, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.