FastSpring Connector for Informatica PowerCenter : Make generic REST API request via SQL

Integrate Informatica PowerCenter and FastSpring
Integrate Informatica PowerCenter and FastSpring

Learn how to make generic REST API request using the FastSpring Connector for Informatica PowerCenter. This connector enables you to read and write FastSpring data effortlessly. Integrate, manage, and automate orders, subscriptions, quotes, products, and accounts — almost no coding required. We'll walk you through the exact setup.

Let's dive in!

Create data source using FastSpring ODBC Driver

  1. Download and install ODBC PowerPack (if you haven't already).

  2. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source
  3. Create a User data source (User DSN) based on the ZappySys API Driver driver:

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
    • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this
  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
    ODBC DSN Template Selection
  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.

    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:
    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 (Only used by get_products_visibility endpoint) https://YOUR-STORE.onfastspring.com
    ODBC DSN HTTP Connection Configuration

  6. Then go to Preview tab to start building a SQL query.

  7. Once you do that, proceed by opening Query Builder:

    ZappySys API Driver - FastSpring
    Read and write FastSpring data effortlessly. Integrate, manage, and automate orders, subscriptions, quotes, products, and accounts — almost no coding required.
    FastspringDSN
    Open Query Builder in API ODBC Driver to read and write data to REST API
  8. Then simply select the Make Generic REST API Request endpoint (action).

  9. Continue by configuring the Required parameters. You can also set optional parameters too.

  10. Move on by hitting Preview Data button to preview the results.

  11. If you see the results you need, simply copy the generated query:

    Make Generic REST API Request
    Required Parameters
    HTTP - Url or File Path Select the value from the dropdown
    Optional Parameters
    HTTP - Request Body
    HTTP - Is MultiPart Body (Pass File data/Mixed Key/value)
    HTTP - Headers (e.g. hdr1:aaa || hdr2:bbb) Accept: */* || Cache-Control: no-cache
    Parser - Filter (e.g. $.rows[*] )
    Download - Enable reading binary data False
    Download - File overwrite mode AlwaysOverwrite
    Download - Save file path
    Download - Enable raw output mode as single row False
    Download - Raw output data RowTemplate {Status:'Downloaded'}
    Download - Request Timeout (Milliseconds)
    Advanced Properties
    HTTP - Request Method GET
    HTTP - Request Format (Content-Type) ApplicationJson
    Parser - Response Format (Default=Json) Default
    Parser - Encoding
    Parser - CharacterSet
    General - Enable Custom Search/Replace
    General - SearchFor (e.g. (\d)-(\d)--regex)
    General - ReplaceWith (e.g. $1-***)
    General - File Compression Type
    General - Date Format
    General - Enable Big Number Handling False
    General - Wait time (Ms) - Helps to slow down pagination (Use for throttling) 0
    JSON/XML - ExcludedProperties (e.g. meta,info)
    JSON/XML - Flatten Small Array (Not preferred for more than 10 items)
    JSON/XML - Max Array Items To Flatten 10
    JSON/XML - Array Transform Type
    JSON/XML - Array Transform Column Name Filter
    JSON/XML - Array Transform Row Value Filter
    JSON/XML - Array Transform Enable Custom Columns
    JSON/XML - Enable Pivot Transform
    JSON/XML - Array Transform Custom Columns
    JSON/XML - Pivot Path Replace With
    JSON/XML - Enable Pivot Path Search Replace False
    JSON/XML - Pivot Path Search For
    JSON/XML - Include Pivot Path False
    JSON/XML - Throw Error When No Match for Filter False
    JSON/XML - Parent Column Prefix
    JSON/XML - Include Parent When Child Null False
    Pagination - Mode
    Pagination - Attribute Name (e.g. page)
    Pagination - Increment By (e.g. 100) 1
    Pagination - Expression for Next URL (e.g. $.nextUrl)
    Pagination - Wait time after each request (milliseconds) 0
    Pagination - Max Rows Expr
    Pagination - Max Pages Expr
    Pagination - Max Rows DataPath Expr
    Pagination - Max Pages 0
    Pagination - End Rules
    Pagination - Next URL Suffix
    Pagination - Next URL End Indicator
    Pagination - Stop Indicator Expr
    Pagination - Current Page
    Pagination - End Strategy Type DetectBasedOnRecordCount
    Pagination - Stop based on this Response StatusCode
    Pagination - When EndStrategy Condition Equals True
    Pagination - Max Response Bytes 0
    Pagination - Min Response Bytes 0
    Pagination - Error String Match
    Pagination - Enable Page Token in Body False
    Pagination - Placeholders (e.g. {page})
    Pagination - Has Different NextPage Info False
    Pagination - First Page Body Part
    Pagination - Next Page Body Part
    Csv - Column Delimiter ,
    Csv - Has Header Row True
    Csv - Throw error when column count mismatch False
    Csv - Throw error when no record found False
    Csv - Allow comments (i.e. line starts with # treat as comment and skip line) False
    Csv - Comment Character #
    Csv - Skip rows 0
    Csv - Ignore Blank Lines True
    Csv - Skip Empty Records False
    Csv - Skip Header Comment Rows 0
    Csv - Trim Headers False
    Csv - Trim Fields False
    Csv - Ignore Quotes False
    Csv - Treat Any Blank Value As Null False
    Xml - ElementsToTreatAsArray
    SELECT * FROM __DynamicRequest__
    Query Builder
  12. Click OK to use built SQL query and close the Query Builder.

  13. 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 Informatica PowerCenter:

    ZappySys API Driver - FastSpring
    Read and write FastSpring data effortlessly. Integrate, manage, and automate orders, subscriptions, quotes, products, and accounts — almost no coding required.
    FastspringDSN
    SELECT * FROM __DynamicRequest__
    API ODBC Driver-based data source data preview
    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).

Let's not stop here and explore SQL query examples, including how to use them in Stored Procedures and Views (virtual tables) in the next steps.

FastSpring SQL query examples

Use these SQL queries in your Informatica PowerCenter data source:

Get __DynamicRequest__

SELECT * FROM __DynamicRequest__

generic_request endpoint belongs to __DynamicRequest__ table(s), and can therefore be used via those table(s).

Create SQL view in ODBC data source

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

  1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

  4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
    Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here

    SELECT
      "ShipCountry",
      "OrderID",
      "CustomerID",
      "EmployeeID",
      "OrderDate",
      "RequiredDate",
      "ShippedDate",
      "ShipVia",
      "Freight",
      "ShipName",
      "ShipAddress",
      "ShipCity",
      "ShipRegion",
      "ShipPostalCode"
    FROM "Orders"
    Where "ShipCountry"='USA'

    ZappySys Driver - Create Custom Table
  5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:

    SELECT * FROM "vt__usa_orders_only"
    ZappySys Driver - Execute Custom Virtual Table Query

Make generic REST API request in Informatica PowerCenter via SQL view

  1. Open Informatica Mapping Designer (Click [D] icon)

  2. Click on Source Icon to switch to Sources designer

  3. From the top menu > Click on Sources > Import from Database

    Import JSON Source definition in Informatica Mapping Designer (JSON file or REST API)

    Import FastSpring Source definition in Informatica Mapping Designer (JSON file or REST API)

  4. Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)

  5. Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.

    DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
    —————————————————-
    Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file.
    Select JSON Source Table in Informatica Mapping Designer (JSON file or REST API)

    Select FastSpring Source Table in Informatica Mapping Designer (JSON file or REST API)

  6. Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
  7. Optionally once table structure is imported you can rename it
    Rename imported table definition in Informatica Source Designer

    Rename imported table definition in Informatica Source Designer

Advanced topics

Creating SQL stored procedures

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

  1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
    ZappySys Driver - Add Stored Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Stored Procedure Name

  3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver. Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

    CREATE PROCEDURE [usp_get_orders]
        @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
     AS
        SELECT * FROM Orders where OrderDate >= '<@fromdate>';
    
    ZappySys Driver - Create Custom Stored Procedure
  4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:

    Exec usp_get_orders '1996-01-01';
    ZappySys Driver - Execute Custom Stored Procedure

Conclusion

And there you have it — a complete guide on how to make generic REST API request in Informatica PowerCenter without writing complex code. All of this was powered by FastSpring ODBC Driver, which handled the REST API pagination and authentication for us automatically.

Download the trial now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

More actions supported by FastSpring Connector

Got another use case in mind? We've documented the exact setups for a variety of essential FastSpring operations directly in Informatica PowerCenter, so you can skip the trial and error. Find your next step-by-step guide below:

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