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Rapidly create and deploy powerful Java applications that integrate with SQL Analysis Services.

Access SQL Analysis Services Data in Mule Applications Using the CData JDBC Driver



Create a simple Mule Application that uses HTTP and SQL with the CData JDBC Driver for SQL Analysis Services to create a JSON endpoint for SQL Analysis Services data.

The CData JDBC Driver for SQL Analysis Services connects SQL Analysis Services data to Mule applications enabling read functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze SQL Analysis Services data.

This article demonstrates how to use the CData JDBC Driver for SQL Analysis Services inside of a Mule project to create a Web interface for SQL Analysis Services data. The application created allows you to request SQL Analysis Services data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the 200+ available data sources.

  1. Create a new Mule Project in Anypoint Studio.
  2. Add an HTTP Connector to the Message Flow.
  3. Configure the address for the HTTP Connector.
  4. Add a Database Select Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties.
    • Set Connection to "Generic Connection"
    • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.ssas.jar).
    • Set the URL to the connection string for 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.

      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.

    • Set the Driver class name to cdata.jdbc.ssas.SSASDriver.
    • Click Test Connection.
  6. Set the SQL Query Text to a SQL query to request SQL Analysis Services data. For example: SELECT Fiscal_Year, Sales_Amount FROM Adventure_Works
  7. Add a Transform Message Component to the flow.
  8. Set the Output script to the following to convert the payload to JSON:
    %dw 2.0
    output application/json
    ---
    payload
            
  9. To view your SQL Analysis Services data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The SQL Analysis Services data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with SQL Analysis Services data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for SQL Analysis Services and see the CData difference in your Mule Applications today.