FastSpring Connector for SSIS

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 SSIS without coding. We will use high-performance FastSpring Connector to easily connect to FastSpring and then access the data inside SSIS.

Let's follow the steps below to see how we can accomplish that!

Download Documentation

Video Tutorial - Integrate FastSpring data in SSIS

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

  • How to download and install the required PowerPack for FastSpring integration in SSIS
  • How to configure the connection for FastSpring
  • Features of the ZappySys API Source (Authentication / Query Language / Examples / Driver UI)
  • How to use the FastSpring in SSIS

Prerequisites

Before we begin, make sure the following prerequisites are met:

  1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft).
  2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
  3. SSIS PowerPack is installed (if you are new to SSIS PowerPack, then get started!).

Read data from FastSpring in SSIS (Export data)

In this section we will learn how to configure and use FastSpring Connector in API Source to extract data from FastSpring.

  1. Begin with opening Visual Studio and Create a New Project.

  2. Select Integration Service Project and in new project window set the appropriate name and location for project. And click OK.

    In the new SSIS project screen you will find the following:

    • SSIS ToolBox on left side bar
    • Solution Explorer and Property Window on right bar
    • Control flow, data flow, event Handlers, Package Explorer in tab windows
    • Connection Manager Window in the bottom
    SSIS Project Screen
    Note: If you don't see ZappySys SSIS PowerPack Task or Components in SSIS Toolbox, please refer to this help link.
  3. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.

    SSIS Data Flow Task - Drag and Drop
  4. From the SSIS toolbox drag and API Source (Predefined Templates) on the data flow designer surface, and double click on it to edit it:

    SSIS API Source (Predefined Templates) - Drag and Drop
  5. Select New Connection to create a new connection:

    API Source - New Connection
  6. Use a preinstalled FastSpring Connector from Popular Connector List or press Search Online radio button to download FastSpring Connector. Once downloaded simply use it in the configuration:

    FastSpring
    FastSpring Connector Selection
  7. Now it's time to configure authentication. Firstly, configure authentication settings in FastSpring service and then proceed by configuring API Connection Manager. Start by expanding an authentication type:

    FastSpring authentication

    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: Use credentials to get FastSpring data via REST API
      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!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to API Credentials [Http]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    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 (Only used by get_products_visibility endpoint) https://YOUR-STORE.onfastspring.com
    ZappySys Http Connection
  8. Select the desired endpoint, change/pass the properties values, and click on Preview Data button to make the API call.

    API Source - FastSpring
    Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.
    API Source - Select Endpoint

  9. That's it! We are done! Just in a few clicks we configured the call to FastSpring using FastSpring Connector.

    You can load the source data into your desired destination using the Upsert Destination , which supports SQL Server, PostgreSQL, and Amazon Redshift. We also offer other destinations such as CSV , Excel , Azure Table , Salesforce , and more . You can check out our SSIS PowerPack Tasks and components for more options. (*loaded in Trash Destination)

    Execute Package - Reading data from FastSpring and load into target

Write data to FastSpring using SSIS (Import data)

In this section we will learn how to configure and use FastSpring Connector in the API Destination to write data to FastSpring.

Video tutorial

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

  • How to download SSIS PowerPack for FastSpring integration in SSIS
  • How to configure connection for FastSpring
  • How to write or lookup data to FastSpring
  • Features about SSIS API Destination
  • Using FastSpring Connector in SSIS

Step-by-step instructions

In upper section we learned how to read data, now in this section we will learn how to configure FastSpring in the API Source to POST data to the FastSpring.

  1. Read the data from the source, being any desired source component. In example we will use ZappySys Dummy Data Source component.

  2. From the SSIS Toolbox drag and drop API Destination (Predefined Templates) on the Data Flow Designer surface and connect source component with it, and double click to edit it.
    SSIS API Destination (Predefined Templates) - Drag and Drop

  3. Select New Connection to create a new connection:

    API Destination - FastSpring
    Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.
    API Destination - New Connection

  4. Use a preinstalled FastSpring Connector from Popular Connector List or press Search Online radio button to download FastSpring Connector. Once downloaded simply use it in the configuration:

    FastSpring
    FastSpring Connector Selection

  5. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    FastSpring authentication

    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: Use credentials to get FastSpring data via REST API
      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!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to API Credentials [Http]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    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 (Only used by get_products_visibility endpoint) https://YOUR-STORE.onfastspring.com
    ZappySys Http Connection

  6. Select the desired endpoint, change/pass the properties values, and go to the Mappings tab to map the columns.

    API Destination - FastSpring
    Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.
    API Destination - Select Endpoint

  7. Finally, map the desired columns:

    API Destination - FastSpring
    Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.
    API Destination - Columns Mapping

  8. That's it; we successfully configured the POST API Call. In a few clicks we configured the FastSpring API call using ZappySys FastSpring Connector

    Execute Package - Reading data from API Source and load into target

Load FastSpring data into SQL Server using Upsert Destination (Insert or Update)

Once you configured the data source, you can load FastSpring data into SQL Server using Upsert Destination.

Upsert Destination can merge or synchronize source data with the target table. It supports Microsoft SQL Server, PostgreSQL, and Redshift databases as targets. Upsert Destination also supports very fast bulk upsert operation along with bulk delete.

Upsert operation - a database operation which performs INSERT or UPDATE SQL commands based on record's existence condition in the target table. It inserts records that don't have matching records in the target table or updates them, if they do, by matching them by key columns.

Upsert Destination supports INSERT, UPDATE, and DELETE operations, so it is similar to SQL Server's MERGE command, except it can be used directly in SSIS package.

  1. From the SSIS Toolbox drag-and-drop Upsert Destination component onto the Data Flow designer background.

  2. Connect your SSIS source component to Upsert Destination.

  3. Double-click on Upsert Destination component to open configuration window.

  4. Start by selecting the Action from the list.

  5. Next, select the desired target connection or create one by clicking <New [provider] Connection> menu item from the Target Connection dropdown.

  6. Then select a table from the Target Table list or click New button to create a new table based on the source columns.

  7. Continue by checking Insert and Update options according to your scenario (e.g. if Update option is unchecked, no updates will be made).

  8. Finally, click Map All button to map all columns and then select the Key columns to match the columns on:

    Configure SSIS Upsert Destination component to merge data with SQL Server, PostgreSQL, or Redshift table
  9. Click OK to save the configuration.

  10. Run the package and FastSpring data will be merged with the target table in SQL Server, PostgreSQL, or Redshift:

    Execute Package - Reading data from API Source and load into target
  11. Done!

Deploy and schedule SSIS package

After you are done creating SSIS package, most likely, you want to deploy it to SQL Server Catalog and run it periodically. Just follow the instructions in this article:

Running SSIS package in Azure Data Factory (ADF)

To use SSIS PowerPack in ADF, you must first prepare Azure-SSIS Integration Runtime. Follow this link for detailed instructions:

Actions supported by FastSpring Connector

Learn how to perform common FastSpring actions directly in SSIS with these how-to guides:

Conclusion

In this article we showed you how to connect to FastSpring in SSIS and integrate data without any coding, saving you time and effort.

We encourage you to download FastSpring Connector for SSIS 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 SSIS Documentation

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