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Access Snowflake Data in Anypoint Using SQL

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

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

This article demonstrates how to use the CData Mule Connector for Snowflake inside of a Mule project to create a Web interface for Snowflake data. The application created allows you to request Snowflake 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 Snowflake 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 Snowflake (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Snowflake.

    To connect to Snowflake:

    1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
    2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
    3. Set Warehouse to the Snowflake warehouse.
    4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
    5. (Optional) Set Database and Schema to restrict the tables and views exposed.

    See the Getting Started guide in the CData driver documentation for more information.

  6. Configure the CData Snowflake 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 Snowflake 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=Products
    The Products 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 Snowflake 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 Snowflake and see the CData difference in your Mule Applications today.