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Mapping fields for the GET method when creating a data object

Updated on November 23, 2022

Select the data that your application needs for processing by mapping fields from the REST response to the data view.

When you connect a data object to a system of record using REST at the same time that you create it, there is no data view or fields to which to map fields. You create fields for each field in the JSON response that you need.
  1. Click Initialize call to request data from the REST service and display the response.
    Result: The connector parameters are on the left and the data page parameters are on the right. The top-level JSON element determines the structure of the data page - a list page if it's an array, or a single page if it's an object.
  2. Choose whether to use live data or data from a JSON file to create the data object.
    • To use data from your system of record, select Live response.
    • To use data from a JSON file, click Sample JSONAdd sample response. Follow the prompts to upload a file or paste in sample JSON and click Submit.
  3. Create properties in the data object and map the response fields to your data view.
    If the REST service returns data in heterogeneous JSON structures, for example an array that contains different object types, switch to Dev Studio and configure the data transform to handle the data.
    1. Select the fields that you want to include in the data object and map them to your data view by using the following options:
      • To add the field to the data object, click Add new. You can change the field name and its type.
      • To add all of the fields from the REST response to the data object using the same field names, click Add all. To change the name and the data object, click on the name. To remove a field mapping, click on the name and click the delete icon.
      • To remove all of the fields from the data object, click Clear all.
  4. Click Next
  5. Click Submit.
  6. Click Save.
What to do next: Prepare your data for production by configuring the environment settings. For more information, see Preparing your data for production.

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