Access Wave Financial Data in Anypoint Using SQL

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Wave Financial MuleSoft Connector



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

The CData Mule Connector for Wave Financial connects Wave Financial 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 Wave Financial data.

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

    Connect using the API Token

    You can connect to Wave Financial by specifying the APIToken You can obtain an API Token using the following steps:

    1. Log in to your Wave account and navigate to "Manage Applications" in the left pane.
    2. Select the application that you would like to create a token for. You may need to create an application first.
    3. Click the "Create token" button to generate an APIToken.

    Connect using OAuth

    If you wish, you can connect using the embedded OAuth credentials. See the Help documentation for more information.

  6. Configure the CData Wave Financial 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 Wave Financial 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=Invoices
    The Invoices 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 Wave Financial 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 Wave Financial and see the CData difference in your Mule Applications today.