Connect to SQL Analysis Services Data in NetBeans

The CData JDBC Driver for SQL Analysis Services integrates connectivity to live SQL Analysis Services data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to SQL Analysis Services data in NetBeans. You will create a connection and load SQL Analysis Services data in the Table Editor.

Create a JDBC Data Source for SQL Analysis Services in NetBeans

To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:

• Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.ssas.jar file. The driver JAR is located in the lib subfolder of the installation directory.
• Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.ssas.SSASDriver from the menu.
• Name: Enter the name for the driver.

Define Connection Parameters

Follow the steps below to define required connection properties:

1. In the Service window, right-click the Database node and click New Connection.

2. In the New Connection Wizard, enter the following connection properties:

   • Driver Name: In the menu, select the CData JDBC Driver for SQL Analysis Services.
   • User Name: Enter the username. This can also be defined in the JDBC URL.
   • Password: Enter the password. This can also be defined in the JDBC URL.

   • JDBC URL: Specify the JDBC URL.

     To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

     To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

     • HTTP Authentication

       Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

     • Windows (NTLM)

       Set the Windows User and Password and set AuthScheme to "NTLM".

     • Kerberos and Kerberos Delegation

       To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

     • SSL/TLS:

       By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

     You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

     See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.ssas.jar

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

     A typical JDBC URL is the following:

     jdbc:ssas:User=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;

Query SQL Analysis Services Data

To connect to SQL Analysis Services data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.

To load a table in the Data Views window, right-click the table and then click View Data..