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Access Azure Data Catalog Data in Anypoint Using SQL

Create a simple Mule Application that uses HTTP and SQL with the CData Mule Connector for Azure Data Catalog to create a JSON endpoint for Azure Data Catalog data.

The CData Mule Connector for Azure Data Catalog connects Azure Data Catalog data to Mule applications enabling read functionality with familiar SQL queries. The Connector allows users to easily create Mule Applications to backup, transform, report, and analyze Azure Data Catalog data.

This article demonstrates how to use the CData Mule Connector for Azure Data Catalog inside of a Mule project to create a Web interface for Azure Data Catalog data. The application created allows you to request Azure Data Catalog data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData Mule Connector 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 CData Azure Data Catalog Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties to connect to Azure Data Catalog (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Azure Data Catalog.

    You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

      CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

  6. Configure the CData Azure Data Catalog Connector.
    1. Set the Operation to 'Select with Streaming'.
    2. Set the Query type to Dynamic.
    3. Set the SQL query to SELECT * FROM #[message.inboundProperties.'http.query.params'.get('table')] to parse the URL parameter table and use it as the target of the SELECT query. You can customize the query further by referencing other potential URL parameters.
  7. Add a Transform Message Component to the flow.
    1. Map the Payload from the input to the Map in the output.
    2. Set the Output script to the following to convert the payload to JSON:
      %dw 1.0
      %output application/json
      ---
      payload
              
  8. To view your Azure Data Catalog data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default) and pass a table name as the table URL parameter: http://localhost:8081?table=Tables
    The Tables 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 Azure Data Catalog 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 Mule Connector for Azure Data Catalog and see the CData difference in your Mule Applications today.