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APPLIES TO:
Azure Data Factory
Azure Synapse Analytics
This article outlines how to use Data Flow to transform data in AppFigures (Preview). To learn more, read the introductory article for Azure Data Factory or Azure Synapse Analytics.
Important
This connector is currently in preview. You can try it out and give us feedback. If you want to take a dependency on preview connectors in your solution, please contact Azure support.
This AppFigures connector is supported for the following capabilities:
Supported capabilities | IR |
---|---|
Mapping data flow (source/-) | ① |
① Azure integration runtime ② Self-hosted integration runtime
For a list of data stores that are supported as sources/sinks, see the Supported data stores table.
Use the following steps to create an AppFigures linked service in the Azure portal UI.
Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then select New:
Search for AppFigures (Preview) and select the AppFigures (Preview) connector.
Configure the service details, test the connection, and create the new linked service.
The following sections provide information about properties that are used to define Data Factory and Synapse pipeline entities specific to AppFigures.
The following properties are supported for the AppFigures linked service:
Property | Description | Required |
---|---|---|
type | The type property must be set to AppFigures. | Yes |
userName | Specify a user name for the AppFigures. | Yes |
password | Specify a password for the AppFigures. Mark this field as SecureString to store it securely. Or, you can reference a secret stored in Azure Key Vault. | Yes |
clientKey | Specify a client key for the AppFigures. Mark this field as SecureString to store it securely. Or, you can reference a secret stored in Azure Key Vault. | Yes |
Example:
{
"name": "AppFiguresLinkedService",
"properties": {
"type": "AppFigures",
"typeProperties": {
"userName": "<username>",
"password": "<password>",
"clientKey": "<client key>"
}
}
}
When transforming data in mapping data flow, you can read tables from AppFigures. For more information, see the source transformation in mapping data flows. You can only use an inline dataset as source type.
The below table lists the properties supported by AppFigures source. You can edit these properties in the Source options tab.
Name | Description | Required | Allowed values | Data flow script property |
---|---|---|---|---|
Entity type | The type of the entity in AppFigures. | Yes | products ads sales |
(for inline dataset only) entityType |
When you use AppFigures as source type, the associated data flow script is:
source(allowSchemaDrift: true,
validateSchema: false,
store: 'appfigures',
format: 'rest',
entityType: 'products') ~> AppFiguresSource
For a list of data stores supported as sources and sinks by the copy activity, see Supported data stores.