Data Mappings

TIBCO Cloud Integration - Flogo (PAYG) provides a graphical data mapper to map data between the activities within a flow, and between the trigger and the flow linked to each other within an app. Use the mapper to enter the flow or activity input values manually or map the input schema elements to output data of the same data type from preceding activities, trigger, or the flow itself.

  • Data Mappings Interface
    An activity has access to the output data from the trigger to which the flow is attached in addition to the output from any of the activities that precede it in the same flow provided that the trigger or activity has an output. This data is displayed in a tree structure under Upstream Output in the Mapper. The input schema for the activity is displayed in the pane to the left of the Upstream Output pane. You can map data coming from the upstream output to the input fields of the activity. Activities also have access to the input fields of a flow to which the activity belongs. You enter the flow input schema in the Input Settings tab of the Flow Inputs and Outputs accordian tab.
  • Scopes in Data Mappings
    The Upstream Output area in the mapper displays the output data from preceding activities, trigger, and/or flow inputs. This area groups the output elements based on a scope. A scope represents a boundary in the Upstream Output within which an input element can be mapped. For example, when mapping an input element to an element from the output of a trigger, the scope of the input element is represented in Upstream Output as $trigger. The following scopes are currently supported by the mapper.
  • Reserved Keywords to be Avoided in Schemas
    TIBCO Cloud Integration - Flogo (PAYG) uses some words as keywords or reserved names. Do not use such words in your schema. When you import an app, if the schema entered in the Input or Output tab of an activity or trigger contains reserved names, after the app is imported, such attributes get treated as special characters which results in runtime errors.
  • Mapping Different Types of Data
    The mapper opens when you click any element in the input schema tree in an activity configuration tab.
  • Using Functions
    You can use a function from the list of functions available under Functions in the mapper. Input parameters to the function can either be mapped from an element under Upstream Output, a literal value, or an expression that evaluates to the appropriate data type or any combination of them.
  • Using Expressions
    You can use two categories of data mapping expressions in TIBCO Cloud Integration - Flogo (PAYG).
  • Supported Operators
    TIBCO Cloud Integration - Flogo (PAYG) supports the operators that are listed below.