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Access Confluence Data in Anypoint Using SQL

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

The CData Mule Connector for Confluence connects Confluence 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 Confluence data.

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

    Obtaining an API Token

    An API token is necessary for account authentication. To generate one, login to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

    Connect Using a Confluence Cloud Account

    To connect to a Cloud account, provide the following (Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.):

    • User: The user which will be used to authenticate with the Confluence server.
    • APIToken: The API Token associated with the currently authenticated user.
    • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.

    Connect Using a Confluence Server Instance

    To connect to a Server instance, provide the following:

    • User: The user which will be used to authenticate with the Confluence instance.
    • Password: The password which will be used to authenticate with the Confluence server.
    • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.
  6. Configure the CData Confluence 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 Confluence 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=Pages
    The Pages 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 Confluence 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 Confluence and see the CData difference in your Mule Applications today.