FastSpring Connector for Azure Data Factory (Pipeline) Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding. In this article you will learn how to quickly and efficiently integrate FastSpring data in Azure Data Factory (Pipeline) without coding. We will use high-performance FastSpring Connector to easily connect to FastSpring and then access the data inside Azure Data Factory (Pipeline). Let's follow the steps below to see how we can accomplish that! Download Documentation FastSpring Connector for Azure Data Factory (Pipeline) is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

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Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from FastSpring using Azure Data Factory (Pipeline) we first need to create a DSN (Data Source) which will access data from FastSpring. We will later be able to read data using Azure Data Factory (Pipeline). Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
   Azure Data Factory (Pipeline) uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "FastSpring" from the list of Popular Connectors. If "FastSpring" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   FastspringDSN

   FastSpring

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    API Credentials [Http]

   Steps how to get and use FastSpring credentials : API Credentials [Http]
   

   Here is how to obtain FastSpring API credentials:

   1. In the FastSpring portal, navigate to Developer Tools > APIs > API Credentials.
   2. Click Create, FastSpring will automatically generate your Username and Password. Copy them, we will need them in the next step:
      WARNING: Securely store the credentials for future reference.
   3. Now go to SSIS package or ODBC data source and use this token in API Credentials authentication configuration:
      • In the UserName field paste the Username value you copied in the previous step.
      • In the Password field paste the Password value you copied in the previous step.
   4. Click Test Connection to confirm the connection is working.
   5. Done! Now you are ready to use FastSpring Connector!

   Fill in all required parameters and set optional parameters if needed:

   FastspringDSN

   FastSpring

   API Credentials [Http]

   https://api.fastspring.com

   Required Parameters
   UserName	Fill-in the parameter...
   Password	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True
   Your Webstore URL	https://YOUR-STORE.onfastspring.com

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - FastSpring

   Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.

   FastspringDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Azure Data Factory (Pipeline) to retrieve data from FastSpring. Hit OK button to use this query in the next step.

   SELECT * FROM Orders

   
   Some parameters configured in this window will be passed to the FastSpring API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Azure Data Factory (Pipeline):

   

   ZappySys API Driver - FastSpring

   Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.

   FastspringDSN

   SELECT * FROM Orders

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the FastSpring API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in FastSpring servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read data in Azure Data Factory (ADF) from ODBC datasource (FastSpring)

1. To start press New button:

   

2. Select "Azure, Self-Hosted" option:

   

3. Select "Self-Hosted" option:

   

4. Set a name, we will use "OnPremisesRuntime":

   

5. Download and install Microsoft Integration Runtime.

6. Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:

   

7. After finishing registering the Integration Runtime node, you should see a similar view:

   

8. Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:

   

9. Go to Linked services section and create a new Linked service based on ODBC:

   

10. Select "ODBC" service:

    

11. Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:

    FastspringDSN

    DSN=FastspringDSN

    

12. For created ODBC service create ODBC-based dataset:

    

13. Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:

    

14. Then go to Sink section and select a destination/sink dataset. In this example we use precreated AzureBlobStorageDataset which saves data into an Azure Blob:

    

15. Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:

    

Actions supported by FastSpring Connector

Learn how to perform common FastSpring actions directly in Azure Data Factory (Pipeline) with these how-to guides:

• Create Product
• Get Account By Id
• Get Account Charges
• Get Account Charges by Id
• Get Account Orders (For a single account)
• Get Account Orders (For all accounts)
• Get Accounts
• Get Order by Id
• Get Order Items
• Get Order Items by OrderId
• Get Orders
• Get Product
• Get Product IDs
• Get Product Prices
• Get Products
• Get Products Publish Status
• Get Quote By Id
• Get Quotes
• Get Revenue Report
• Get Subscription By Id
• Get Subscription Report
• Get Subscriptions
• Get Subscriptions Ids
• Update Product
• Generic Request
• Generic Request (Bulk Write)

Conclusion

In this article we showed you how to connect to FastSpring in Azure Data Factory (Pipeline) and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to FastSpring, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download FastSpring Connector for Azure Data Factory (Pipeline) and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download FastSpring Connector for Azure Data Factory (Pipeline) Documentation

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