SQL Analysis Services Reporting in OBIEE with the SQL Analysis Services JDBC Driver

The CData JDBC Driver for SQL Analysis Services is a standard database driver that can integrate real-time access to SQL Analysis Services data into your Java-based reporting server. This article shows how to deploy the driver to Oracle Business Intelligence Enterprise Edition (OBIEE) and create reports on SQL Analysis Services data that reflect any changes.

Deploy the JDBC Driver

Follow the steps below to add the JDBC driver to WebLogic's classpath.

For WebLogic 12.2.1, simply place the driver JAR and .lic file into DOMAIN_HOME\lib; for example, ORACLE_HOME\user_projects\domains\MY_DOMAIN\lib. These files will be added to the server classpath at startup.

You can also manually add the driver to the classpath: This is required for earlier versions. Prepend the following to PRE_CLASSPATH in setDomainEnv.cmd (Windows) or setDomainEnv.sh (Unix). This script is located in the bin subfolder of the folder for that domain. For example: ORACLE_HOME\user_projects\domains\MY_DOMAIN\bin.

Restart all servers; for example, run the stop and start commands in DOMAIN_HOME\bitools\bin.

Create a JDBC Data Source for SQL Analysis Services

After deploying the JDBC driver, you can create a JDBC data source from BI Publisher.

1. Log into BI Publisher, at the URL http://localhost:9502/analytics, for example, and click Administration -> Manage BI Publisher.
2. Click JDBC Connection -> Add Data Source.
3. Enter the following information:
   • Data Source Name: Enter the name that users will create connections to in their reports.
   • Driver Type: Select Other.
   • Database DriverClass: Enter the driver class, cdata.jdbc.ssas.SSASDriver.
   • Connection String: Enter 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.

     When you configure the JDBC URL, 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.

     A typical JDBC URL is below:

     jdbc:ssas:User=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;
   • Username: Enter the username.
   • Password: Enter the password.
4. In the Security section, select the allowed user roles.

Create Real-Time SQL Analysis Services Reports

You can now create reports and analyses based on real-time SQL Analysis Services data. Follow the steps below to use the standard report wizard to create an interactive report that reflects any changes to SQL Analysis Services data.

1. On the global header, click New -> Data Model.
2. On the Diagram tab, select SQL query in the menu.
3. Enter a name for the query and in the Data Source menu select the SQL Analysis Services JDBC data source you created.
4. Select standard SQL and enter a query like the following: SELECT Fiscal_Year, Sales_Amount FROM Adventure_Works
5. Click View Data to generate the sample data to be used as you build your report.
6. Select the number of rows to include in the sample data, click View, and then click Save As Sample Data.
7. Click Create Report -> Use Data Model.
8. Select Guide Me and on the Select Layout page select the report objects you want to include. In this example we select Chart and Table.
9. Drop a numeric column like Sales_Amount onto the Drop Value Here box on the y-axis. Drop a dimension column like Fiscal_Year onto the Drop Label Here box on the x-axis.
10. Click Refresh to pick up any changes to the SQL Analysis Services data.