Connect to SQL Analysis Services Data from Crystal Reports

Crystal Reports is a business intelligence application by SAP designed to help you analyze your data with well-formatted, pixel-perfect, and multi-page reports. When paired with CData Connect AI, Crystal Reports gets access to live SQL Analysis Services data. This article demonstrates how to connect to SQL Analysis Services using Connect AI and report on SQL Analysis Services data in Crystal Reports.

CData Connect AI provides a pure SQL Server interface for SQL Analysis Services, allowing you to query data from SQL Analysis Services without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to SQL Analysis Services, leveraging server-side processing to return the requested SQL Analysis Services data quickly.

Configure SQL Analysis Services Connectivity for Crystal Reports

Connectivity to SQL Analysis Services from Crystal Reports is made possible through CData Connect AI. To work with SQL Analysis Services data from Crystal Reports, we start by creating and configuring a SQL Analysis Services connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SQL Analysis Services" from the Add Connection panel

3. Enter the necessary authentication properties to connect to SQL Analysis Services.

   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.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SQL Analysis Services Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SQL Analysis Services data from Crystal Reports.

Connect to SQL Analysis Services from Crystal Reports using Connect AI

To establish a connection from Crystal Reports to CData Connect AI, you will need to download the JDBC driver.

1. Open the Client Tools page of CData Connect AI.
2. Search for and select JDBC.
3. Download and run the setup file.
4. When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
5. Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).

After copying the JDBC CData Connect JAR file, you will need to paste it into the Crystal Reports installation location and configure the connection to Connect AI.

1. Find the installation directory for Crystal Reports, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib
2. Paste the JDBC Connect JAR file into the Crystal Reports installation directory.
3. Go to the parent java folder. For example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java This folder should contain a CRConfig file.
4. Open CRConfig in a text editor.
5. Add the path to the JDBC CData Connect JAR file in the of the CRConfig file, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib
6. Log into Crystal Reports and start a blank report.
7. In the Database Expert dialog, click Create New Connection.
8. Select the JDBC data source and the tables you want to add. Click OK.
9. In the Connection dialog, enter the Connection URL (e.g. jdbc:connect:AuthScheme=Basic;user=username;password=PAT;) and Database Classname (e.g. cdata.jdbc.connect.ConnectDriver).
10. Click Finish. The Database Expert dialog displays all available connections.

You can now create reports with the connected data.

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