FastSpring Connector for Informatica

In this article you will learn how to integrate FastSpring data in Informatica without coding in just a few clicks (live / bi-directional connection to FastSpring). Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding..

Using FastSpring Connector you will be able to connect, read, and write data from within Informatica. Follow the steps below to see how we would accomplish that.

Download Documentation

Connect to FastSpring in other apps
FastSpring Connector Connect FastSpring in SSIS SSIS
Connect to FastSpring in SSIS
FastSpring Connector Connect FastSpring in SQL Server SQL Server
Connect to FastSpring in SQL Server
FastSpring Connector Connect FastSpring in Power BI Power BI
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FastSpring Connector Connect FastSpring in SSRS SSRS
Connect to FastSpring in SSRS
FastSpring Connector Connect FastSpring in MS Access MS Access
Connect to FastSpring in MS Access
FastSpring Connector Connect FastSpring in MS Excel MS Excel
Connect to FastSpring in MS Excel
FastSpring Connector Connect FastSpring in SSAS SSAS
Connect to FastSpring in SSAS
FastSpring Connector Connect FastSpring in C# C#
Connect to FastSpring in C#
FastSpring Connector Connect FastSpring in Python Python
Connect to FastSpring in Python
FastSpring Connector Connect FastSpring in JAVA JAVA
Connect to FastSpring in JAVA
FastSpring Connector Connect FastSpring in Tableau Tableau
Connect to FastSpring in Tableau
FastSpring Connector Connect FastSpring in SAP Crystal Reports SAP Crystal Reports
Connect to FastSpring in SAP Crystal Reports
FastSpring Connector Connect FastSpring in Azure Data Factory (Pipeline) Azure Data Factory (Pipeline)
Connect to FastSpring in Azure Data Factory (Pipeline)
FastSpring Connector Connect FastSpring in Azure Data Factory (SSIS) Azure Data Factory (SSIS)
Connect to FastSpring in Azure Data Factory (SSIS)
FastSpring Connector Connect FastSpring in Talend Studio Talend Studio
Connect to FastSpring in Talend Studio
FastSpring Connector Connect FastSpring in UiPath UiPath
Connect to FastSpring in UiPath
FastSpring Connector Connect FastSpring in PowerShell PowerShell
Connect to FastSpring in PowerShell
FastSpring Connector Connect FastSpring in ODBC ODBC
Connect to FastSpring in ODBC
NOTE: If you need to consume API which is not listed on connector library page then please refer to the below article links. It talks about how to read / write pretty much any API and not just FastSpring API. It explains various API tips / tricks using our other Universal Drivers not mentioned in this article (i.e. ZappySys JSON / XML and CSV Drivers).
How to read API data in Informatica (Call JSON / XML SOAP Service)
How to write data to API (POST) in Informatica (Call JSON / XML SOAP Service)

Introduction

Informatica PowerCenter LogoJSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access FastSpring data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate FastSpring / XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.

After going through this article you will learn how to Read FastSpring / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate  FastSpring or REST API integration in Informatica PowerCenter.

XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica,  Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)

Requirements

This article assumes that you have full filled following basic requirements.

  1. Download Install ZappySys ODBC PowerPack (API Driver for FastSpring included)
  2. Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
  3. Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.

High level Steps for Import FastSpring data using Informatica (Read FastSpring API data)

Before we dive deep to learn how to load FastSpring data in Informatica (i.e. FastSpring to SQL Table), Here the summary of high-level steps you need to perform to import FastSpring in Informatica (same steps for Import JSON / XML / REST API).

  1. Download and Install ZappySys API Driver (for connecting to FastSpring)
  2. Create ODBC DSN using ZappySys API driver and choose FastSpring Connector during Wizard
  3. Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
  4. Import FastSpring Source Definition in the Informatica Mapping Designer > Sources Tab
  5. Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
  6. Create source to target mapping in Mappings tab
  7. Save mapping (name m_API_to_SQL_Load )
  8. Create Session using the mapping we created in the previous step
  9. Save Workflow and execute to load FastSpring data into SQL Table. Verify your data and log.
    Loading JSON data to SQL Table in Informatica (Import FastSpring / REST API / JSON Files)

    Loading FastSpring data to SQL Table in Informatica (Import REST API or JSON Files)

Video Tutorial – Read any API / JSON data in Informatica (Load FastSpring to SQL Table)

Below video is not about FastSpring API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.

Getting Started – Import FastSpring to SQL Server in Informatica

Now let’s get started. For example purpose, we will read data from FastSpring and load data into SQL Server Table using Informatica Workflow.

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

Step-by-step instructions

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

  1. Install ZappySys ODBC PowerPack.

  2. Open ODBC Data Sources (x64):
    Open ODBC Data Source

  3. Create a User Data Source (User DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

  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.

     Http [Http]

    Steps to get FastSpring Credentials : Http [Http]
    Here is how to obtain API Credentials. You might be able to use your Account Login UserId / Password but we do not reccomend using it. Instead of that use API credentials generated using the following way.
    1. In the FastSpring App, navigate to Developer Tools > APIs > API Credentials.
    2. Click Create. FastSpring will automatically generate your username and password. Use this on the API connection UI
    3. Securely store the credentials for future reference.
    4. If you reset your credentials, update each stored procedure that relies on API access to prevent failed requests.

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

    FastSpringDSN
    FastSpring
    Http [Http]
    https://api.fastspring.com
    Required Parameters
    Optional Parameters
    UserName Fill in the parameter...
    Password Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    Your Webstore URL Fill in the parameter...
    ODBC DSN HTTP Connection Configuration

  6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
    ODBC ZappySys Data Source Preview

  7. Click OK to finish creating the data source.

Video instructions

Create Connection in Informatica Workflow Designer

Once you create DSN using API Driver our next step is to define a connection for FastSpring source in Informatica PowerCenter Workflow designer.

  1. Open Workflow designer [W] icon
  2. Goto Connections > Relational
    Create new connection for JSON in Informatica

    Create a new connection for FastSpring in Informatica

  3. Click New and select ODBC
    Select ODBC connection type in Informatica (Using ZappySys JSON ODBC DSN)

    Select ODBC connection type in Informatica (Using ZappySys API ODBC DSN)

  4. Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
  5. In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
    Configure FastSpring connection in Informatica for REST API – Using ZappySys API ODBC Driver

    Configure FastSpring connection in Informatica for REST API – Using ZappySys API Driver

  6. Click OK to close the connection properties.

That’s it. Now we ready to move to next step (define source and target in Mapping Designer).

Import FastSpring Source Definition in Informatica Mapping Designer

Now let’s look at steps to import FastSpring table definition.

  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

  8. That’s it, we are now ready to perform similar steps to import Target table structure in the next section.

Import SQL Server Target Definition in Informatica Mapping Designer

Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).

Now lets look at steps to import target table definition in Informatica mapping designer.

  1. In the Mapping Designer, Click on Target Icon to switch to Target designer
  2. From the top menu > Click on Targets > Import from Database …
  3. Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).
    Import target Table Definition in informatica

    Import target Table Definition in informatica

  4. Enter your userid , password and Schema name and click Connect to see tables
  5. Select Table name to and click OK import definition.
    Import Target SQL Table Definition in Informatica - Select table from the list

    Import Target SQL Table Definition in Informatica – Select table from the list

Create Source to Target Mapping in Informatica (Import JSON to SQL Server)

Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.

  1. First open Mapping Designer (Click [D] icon)
  2. Drag JSON Source from sources folder
  3. Drag SQL Table from Targets folder
  4. Map desired columns from Source to target
    Define Source to Target mapping for JSON to SQL Table load in Informatica

    Define Source to Target mapping for FastSpring to SQL Table load in Informatica

  5. For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
    TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM')

 --For ISO use below way
                TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS')
    Informatica JSON to SQL Table Mapping - Datatype conversion (nstring to datetime)

    Informatica FastSpring to SQL Table Mapping – Datatype conversion (nstring to datetime)

  6. Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
  7. Now lets move to next section to create workflow.

Create Workflow and Session in Informatica

Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.

  1. Open workflow designer by click [W] icon.
  2. Launch new workflow creation wizard by click Workflow top menu >  Wizard
    name your workflow (e.g. wf_Api_Tp_Sql_Table_Import)

    Creating Informatica Workflow - Wizard UI (Import JSON data to SQL Table)

    Creating Informatica Workflow – Wizard UI (Import FastSpring data to SQL Table)

  3. Finish the wizard and double-click the Session to edit some default properties.
  4. First change Error settings so we fail session on error (By default its always green)
    Fail Informatica Session on error (JSON to SQL Load)

    Fail Informatica Session on error (FastSpring data to SQL Load)

  5. Select JSON connection for Source
    Select JSON Source Connection in Informatica - JSON File / REST API Load to SQL Table

    Select FastSpring Source Connection in Informatica – Load FastSpring data to SQL Table

  6. Change default Source query if needed. You can pass parameters to this query to make it dynamic.
    Modify JSON Source SQL query - Pass parameters, change URL, set filter etc

    Modify FastSpring Source SQL query – Pass parameters, change URL, set filter etc

  7. Select Target connection of SQL Target Table
    Select SQL Target Connection in Informatica - JSON File / REST API Load to SQL Table

    Select SQL Target Connection in Informatica – Load FastSpring data to SQL Table

  8. Save workflow
  9. That’s it. We ready to run our first workflow to load JSON data to SQL.

Execute Workflow and Validate Log in Informatica

Now once you are done with your workflow, execute it to see the log.

Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

Loading FastSpring data to SQL Table in Informatica (Import REST API or JSON Files)

 

POST data to FastSpring in Informatica

There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article.

Video Tutorial – How to POST data to REST API in Informatica

Here is detailed step by step video on REST API POST in informatica PowerCenter

 

Keywords

how to import FastSpring in informatica | how to read FastSpring data in informatica powercenter | how to test json from informatica | how to use FastSpring data as source in informatica power center | how to connect FastSpring in informatica 10 | informatica how to import data from FastSpring | informatica jtx to import FastSpring (use of java transformation) | informatica plugin for restful api using json | informatica power center and FastSpring support | informatica read FastSpring | informatica rest api | informatica FastSpring connector | json parser import informatica

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

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

  5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder. 

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

    ZappySys Driver - Generate SQL Server Query

  6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Create Custom Virtual Table in ZappySys Driver

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

  6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder. 

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

    ZappySys Driver - Generate SQL Server Query

  7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Actions supported by FastSpring Connector

FastSpring Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.
 Get Product IDs
   [Read more...]
 Get Products
   [Read more...]
 Get Products Publish Status
   [Read more...]
 Get Product
   [Read more...]
Parameter Description
Product Id
 Create Product
   [Read more...]
 Update Product
   [Read more...]
 Get Product Prices
   [Read more...]
Parameter Description
Country Code
Currency Code
 Get Order Items
   [Read more...]
 Get Order Items by OrderId
   [Read more...]
Parameter Description
Order Id
 Get Orders
   [Read more...]
 Get Order by Id
   [Read more...]
Parameter Description
Order Id
 Get Accounts
   [Read more...]
 Get Account Orders (For all accounts)
   [Read more...]
 Get Account Charges
   [Read more...]
 Get Account Orders (For a single account)
   [Read more...]
Parameter Description
Account Id
 Get Account Charges by Id
   [Read more...]
Parameter Description
Account Id
 Get Account By Id
   [Read more...]
Parameter Description
Account Id
 Get Subscriptions Ids
   [Read more...]
 Get Subscriptions
   [Read more...]
 Get Subscription By Id
   [Read more...]
Parameter Description
Subscription Id
 Get Quote By Id
   [Read more...]
Parameter Description
Quote Id
 Get Quotes
   [Read more...]
 Get Subscription Report
   [Read more...]
Parameter Description
ReportColumns
Option Value
activations activations
arr arr
average_mrr average_mrr
buyer_email buyer_email
buyer_id buyer_id
cancellations cancellations
chargeback_true_false chargeback_true_false
company_id company_id
company_name company_name
country_iso country_iso
country_name country_name
coupon coupon
customer_churn customer_churn
discount discount
driving_offer_type driving_offer_type
driving_product_path driving_product_path
item_id item_id
lifetime_value lifetime_value
mrr mrr
mrr_decrease mrr_decrease
mrr_downgrade mrr_downgrade
mrr_growth_rate mrr_growth_rate
mrr_increase mrr_increase
mrr_paused mrr_paused
mrr_resumed mrr_resumed
mrr_upgrade mrr_upgrade
new_subscribers new_subscribers
occurred_date occurred_date
order_id order_id
product_display_name product_display_name
product_id product_id
product_name product_name
product_path product_path
purchase_type purchase_type
return_true_false return_true_false
revenue_churn revenue_churn
store_id store_id
store_name store_name
subscriber_loss subscriber_loss
subscribers subscribers
subscription_period subscription_period
subscription_period_end subscription_period_end
subscription_period_start subscription_period_start
subscription_start_date subscription_start_date
subscription_status subscription_status
subscription_true_false subscription_true_false
subscriptions subscriptions
sync_date sync_date
transaction_currency transaction_currency
transaction_date transaction_date
transaction_month transaction_month
transaction_type transaction_type
transaction_year transaction_year
GroupByColumns
Option Value
buyer_email buyer_email
buyer_id buyer_id
chargeback_true_false chargeback_true_false
company_id company_id
company_name company_name
country_iso country_iso
country_name country_name
coupon coupon
discount discount
driving_offer_type driving_offer_type
driving_product_path driving_product_path
item_id item_id
occurred_date occurred_date
order_id order_id
product_display_name product_display_name
product_id product_id
product_name product_name
product_path product_path
purchase_type purchase_type
return_true_false return_true_false
store_id store_id
store_name store_name
subscription_period subscription_period
subscription_period_end subscription_period_end
subscription_period_start subscription_period_start
subscription_start_date subscription_start_date
subscription_status subscription_status
subscription_true_false subscription_true_false
sync_date sync_date
transaction_currency transaction_currency
transaction_date transaction_date
transaction_month transaction_month
transaction_type transaction_type
transaction_year transaction_year
 Get Revenue Report
   [Read more...]
Parameter Description
ReportColumns
Option Value
Buyer_Email Buyer_Email
Buyer_ID Buyer_ID
Chargeback_True_False Chargeback_True_False
Company_ID Company_ID
Company_Name Company_Name
Country_ISO Country_ISO
Country_Name Country_Name
CouponDigital_Backup_Fulfillment_Fee CouponDigital_Backup_Fulfillment_Fee
Digital_Backup_Fulfillment_Fee_in_USD Digital_Backup_Fulfillment_Fee_in_USD
Digital_Fulfillment_Fee Digital_Fulfillment_Fee
Digital_Fulfillment_Fee_in_USD Digital_Fulfillment_Fee_in_USD
Discount Discount
Driving_Offer_TypeDriving_Product_Path Driving_Offer_TypeDriving_Product_Path
Fixed_FeeFixed_Fee_in_USDIncomeIncome_in_USDItem_ID Fixed_FeeFixed_Fee_in_USDIncomeIncome_in_USDItem_ID
Order_ID Order_ID
Physical_Backup_Fulfillment_Fee Physical_Backup_Fulfillment_Fee
Physical_Backup_Fulfillment_Fee_in_USD Physical_Backup_Fulfillment_Fee_in_USD
Product_Display_Name Product_Display_Name
Product_ID Product_ID
Product_Name Product_Name
Product_Path Product_Path
Purchase_Type Purchase_Type
Return_Fee Return_Fee
Return_Fee_in_USD Return_Fee_in_USD
Return_True_False Return_True_False
SegmentStore_Chargeback_Fee SegmentStore_Chargeback_Fee
Store_ID Store_ID
Store_Name Store_Name
Subscription_Period Subscription_Period
Subscription_Period_End Subscription_Period_End
Subscription_Period_Start Subscription_Period_Start
Subscription_Start_Date Subscription_Start_Date
Subscription_Status Subscription_Status
Subscription_True_False Subscription_True_False
Tax Tax
Tax_Fee Tax_Fee
Tax_Fee_in_USD Tax_Fee_in_USD
Tax_in_USD Tax_in_USD
Transaction_Amount Transaction_Amount
Transaction_Amount_in_USD Transaction_Amount_in_USD
Transaction_Currency Transaction_Currency
Transaction_Date Transaction_Date
Transaction_Fee Transaction_Fee
Transaction_Fee_in_USD Transaction_Fee_in_USD
Transaction_Item_Count Transaction_Item_Count
Transaction_Month Transaction_Month
Transaction_Rate Transaction_Rate
Transaction_Time_UTC Transaction_Time_UTC
Transaction_Type Transaction_Type
Transaction_Year Transaction_Year
Grand_Total_In_USD Grand_Total_In_USD
syncDatecountryISO syncDatecountryISO
Product_Count Product_Count
Product_Units Product_Units
GroupByColumns
Option Value
Buyer_Email Buyer_Email
Buyer_ID Buyer_ID
Chargeback_True_False Chargeback_True_False
Company_ID Company_ID
Company_Name Company_Name
Country_ISO Country_ISO
Country_Name Country_Name
Coupon Coupon
Discount Discount
Driving_Offer_Type Driving_Offer_Type
Driving_Product_Path Driving_Product_Path
Income Income
Item_ID Item_ID
Order_ID Order_ID
Product_Display_Name Product_Display_Name
Product_ID Product_ID
Product_Name Product_Name
Product_Path Product_Path
Purchase_Type Purchase_Type
Return_True_False Return_True_False
Segment Segment
Store_ID Store_ID
Store_Name Store_Name
Subscription_Period Subscription_Period
Subscription_Status Subscription_Status
Subscription_True_False Subscription_True_False
Transaction_Currency Transaction_Currency
Transaction_Date Transaction_Date
Transaction_Month Transaction_Month
Transaction_Type Transaction_Type
Transaction_Year Transaction_Year
countryISO countryISO
 Generic Request
This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.    [Read more...]
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body Request Body content goes here
IsMultiPart Set this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

FastSpring Connector Examples for Informatica Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

Read orders    [Read more...]

Read all orders

SELECT * FROM Orders

Read a single order by id    [Read more...]

Read a single order by id

SELECT * FROM Orders Where Id='zzzzzzzzzz'

Read orders with date range    [Read more...]

Read all orders within specific date range

SELECT * FROM Orders WITH(StartDate='2020-01-01', EndDate='2021-12-31' ) --use function like today, yesterday, yearstart, monthstart, yearstart-1y

Read orders placed in last 30 days    [Read more...]

Read all orders placed in last 30 days. This hows how to use function like today, yesterday, yearstart, monthstart, yearstart-1y etc for date parameters

SELECT * FROM Orders 
--WHERE Currency='USD' and TotalInPayoutCurrency>=1599
WITH(StartDate='today-30day', EndDate='today') --try today, yesterday, yearstart, yearend, monthstart, monthend, yearstart-1y so on

Read product ids    [Read more...]

Read all orders

SELECT * FROM get_product_ids

Read product details    [Read more...]

Read all products

SELECT * FROM Products

Read a single product by id    [Read more...]

Read a single product by id

SELECT * FROM Products Where Id='some-product-id'

Read product prices    [Read more...]

List product prices for specified currency or country. If you do not pass Country or Currency Parameter then all prices for all countries listed

SELECT 
 Product,
 Country,
 Currency,
 Price,
 PriceDisplay,
 
 Discount2DiscountPercent,
 Discount2DiscountValue,
 Discount2DiscountValueDisplay,
 Discount2UnitPrice,
 Discount2UnitPriceDisplay,
 
 Discount3DiscountPercent,
 Discount3DiscountValue,
 Discount3DiscountValueDisplay,
 Discount3UnitPrice,
 Discount3UnitPriceDisplay,
 
 Discount4DiscountPercent,
 Discount4DiscountValue,
 Discount4DiscountValueDisplay,
 Discount4UnitPrice,
 Discount4UnitPriceDisplay,
 
 Discount5DiscountPercent,
 Discount5DiscountValue,
 Discount5DiscountValueDisplay,
 Discount5UnitPrice,
 Discount5UnitPriceDisplay,
 
 DiscountReasonEn,
 DiscountPeriodCount,

 AvailableStart,
 AvailableEnd,
 SetupFeePrice,
 SetupFeePriceDisplay,
 SetupFeeReasonEn
 
FROM ProductPrices 
--WITH(Country='US') --//get prices for a specific country
--WITH(Currency='USD') --//get proces for a specific currency

Update Product    [Read more...]

Update product attributes by its ID

UPDATE Products
SET 
  Display='Product ABCD'
, Sku='PRD-ABCD-01'
, Summary='Product Abcd **STD**'
, Description='This product can be used to call **API** supports markdown syntax'
, Action='**Action** supports markdown'
, TaxCode='DC010500'
, Image='https://zappysys.com/api/images/ZappySys-icon.png'
, FulfillmentInstructions='Thank you for shopping. **Activate** license by using our License App'
, Format='digital'
, PriceUSD='101.5'
, PriceEUR='102.5'
, PriceGBP='103.5'
, PriceCAD='104.5'
, PriceNZD='105.5'
, PriceCHF='106.5'
, PriceSEK='107.5'
, PriceCZK='108.5'
, PriceDKK='109.5'
, PricePLN='101.5'
, PriceSGD='102.5'
, PriceJPY='103.5'
, PriceCNY='104.5'
, PriceHKD='105.5'
, PriceINR='106.5'
, PriceBRL='107.5'
, PriceAUD='108.5'

, Badge='Badge-1'
, Rank=1
, Trial=14 --how many trial days
, TrialPriceUSD=10.5 

--, Renew=1 --not allowed for update : Only for create (enable subscription)
, Interval='year' --allowed values: adhoc, day, week, year, only needed if you are creating a subscription
, IntervalLength=1
, IntervalCount=0

, QuantityBehavior='allow' --allowed values: allow, lock, hide
, QuantityDefault=1
, Attributes = '{"mykey-1" : "some-value-1", "mykey-2" : "some-value-2"}'
--, Fulfillments='[ { fullfillment }, { fullfillment } ... ]' --JSON fragment 	
Where Id='abcd'

Update multiple Products (read from CSV file)    [Read more...]

Update multiple products from CSV file or other external source (e.g. Microsoft SQL Server, MySQL, Postgresql, ODBC)

UPDATE Products
SOURCE('ODBC',

--File input example (use as to match Column name allowed in Products Table to write)
--'Driver={ZappySys CSV Driver};DataPath=c:\data\products.csv',
--'select P_ID as Id,P_TAXCODE as TaxCode From $'

--Direct input example
'Driver={ZappySys CSV Driver}',
'select ''abcd'' as Id, ''DC010500'' as TaxCode UNION
 select ''xyz'' as Id, ''DC010500'' as TaxCode UNION
 select ''zzz'' as Id, ''DC010500'' as TaxCode 
'
)

Create or Update Product (Upsert)    [Read more...]

Create or Update product (Upsert)

--Insert or Update
--UPSERT INTO Products 

--Insert or Update
UPSERT INTO Products
(     [Id]	, [Display]	, [Summary]
	, [Description]	, [Action]	, [Format]
	, [Sku]	, [TaxCode]	, [Image]
	, [Renew]	, [Interval]	, [IntervalLength]
	, [IntervalCount]	, [QuantityBehavior]	, [QuantityDefault]
	, [PriceUSD]	, [PriceEUR]	, [PriceGBP]
	, [PriceCAD]	, [PriceNZD]	, [PriceCHF]
	, [PriceSEK]	, [PriceCZK]	, [PriceDKK]
	, [PricePLN]	, [PriceSGD]	, [PriceJPY]
	, [PriceCNY]	, [PriceHKD]	, [PriceINR]	, [PriceBRL]	, [PriceAUD]
	, [Trial]	
	, [TrialPriceUSD]	, [TrialPriceEUR]	, [TrialPriceGBP]
	, [PaymentCollected]	, [PaidTrial]
	, [FulfillmentInstructions]
	, [DateLimitsEnabled]	, [CancellationInterval]	, [CancellationIntervalLength]	
	, [SetupFeeTitle]	
	, [SetupFeePriceUSD]	, [SetupFeePriceEUR]	, [SetupFeePriceGBP]	
	, [Badge]	, [Rank]	
	, [Attributes]		
	)
VALUES('test-std-id'
	, '3Year **standard** subscription edition'
	, 'summary **standard edition** _some italic_ ' -- markdown syntax allowed
	
	, 'long description **test STD** and many more lines' --markdown syntax allowed
	, 'action text with **markdown** '
	, 'digital' -- e.g. digital OR physical OR digital-and-physical
	
	, 'TEST-STD-001'
	, 'DC010500'
	, 'https://zappysys.com/api/images/ZappySys-icon.png'
	
	, true	, 'year'	, 1
	, 1 	, 'allow' -- e.g. allow Or lock Or hide
	, 3	--stop renewal after 3 periods
	, 10.12	, 11.12	, 12.12	
	, 13.12	, 14.12	, 15.12	
	, 16.12	, 17.12	, 18.12	
	, 19.12	, 20.12	, 21.12	
	, 22.12	, 23.12	, 24.12	, 25.12	, 26.12	
    , 14 --how many days trial allowed
    , 10.12	, 11.12	, 12.12	
    , 'true', true
	, 'Thank you for shopping, **here are** license instructions' --markdown supported
	, false, 'day', 5
	, 'Setup title'	
	--setup fees in common currencies
	, 10.50	, 11.50	, 12.50	
	, 'badge-1'	, 1
	, '{"mykey-1" : "some-value-1", "mykey-2" : "some-value-2"}' --JSON fragment 
	--, '[... fullfillments.. ]' --JSON fragment 	
)

List / Search Quotes    [Read more...]

List or Search quotes. This example lists Open and Completed Quotes

SELECT * FROM Quotes 
WITH(
	  Statuses='OPEN~COMPLETED',
	  --SearchFor='Test' --quote contains word "Test" in Name or blling information
	  -- query more status like below
	  --Statuses='OPEN~COMPLETED~CANCELED~EXPIRED',
	  
)

List Product Publish Status - Public=200, Private=404    [Read more...]

List product publish status (200=Published, 404=Private)

select * from get_products_visibility

List all orders for a specific subscription    [Read more...]

List all orders for a specific subscription

SELECT * FROM Orders 
WHERE SubscriptionId_1='iBPfMFS6TZSxrLzSOrq8PQ' 
	OR SubscriptionId_2='iBPfMFS6TZSxrLzSOrq8PQ'
	OR SubscriptionId_3='iBPfMFS6TZSxrLzSOrq8PQ' 
ORDER BY OrderDate

Generate Subscription Report by Date, Product, Group By    [Read more...]

Generate subscription report for selected group by columns, date range, products and more

SELECT *
FROM get_subscription_report
Order by transaction_date
WITH(
	  Country='AL~UA~US'
	, ProductPaths='odbc-pp-ent-sub~odbc-pp-pro-sub~odbc-pp-std~ssis-pp-pro-sub~ssis-pp-std-sub~ssis-pp-ent-sub'
	, StartDate='monthstart-1m' --or  2022-01-01
	, EndDateDate='monthend+2d' --or  2022-01-01
	, ReportColumns='transaction_date~transaction_month~transaction_year~activations~average_mrr~cancellations~mrr~new_subscribers~subscriptions'
	, GroupByColumns='transaction_date~transaction_month~transaction_year'
)

Generate Revenue Report by Date, Product, Group By    [Read more...]

Generate revenue report for selected group by columns, date range, products and more

SELECT *
FROM get_revenue_report
Order by transaction_date
WITH(
	  Country='AL~UA~US'
	, ProductPaths='odbc-pp-ent-sub~odbc-pp-pro-sub~odbc-pp-std~ssis-pp-pro-sub~ssis-pp-std-sub~ssis-pp-ent-sub'
	, StartDate='monthstart-1m' --or  2022-01-01
	, EndDateDate='monthend+2d' --or  2022-01-01
	, ReportColumns='Transaction_Year~Transaction_Month~Transaction_Date~Company_Name~Product_Path~Product_Units~Tax_in_USD~Transaction_Amount_in_USD~Grand_Total_In_USD'
	, GroupByColumns='transaction_date~transaction_month~transaction_year'
)

Get all accounts    [Read more...]

Get all accounts for your store

SELECT *
FROM Accounts	

SELECT "Id"
	, "ContactFirst"
	, "ContactLast"
	, "ContactEmail"
	, "ContactCompany"
	, "ContactPhone"
	, "ContactSubscribed"
	, "AddressLine1"
	, "AddressLine2"
	, "City"
	, "Region"
	, "RegionCustom"
	, "PostalCode"
	, "AddressCompany"
	, "Language"
	, "Country"
	, "LookupGlobal"
	, "Url"
	, "PaymentMethods"
	, "PaymentActive"
	, "Orders"
	, "Subscriptions"
	, "Charges"
	, "Subscribed"
	, "TaxExemptionData"
FROM Accounts

--Use WITH clause --OR-- Key column(s) in WHERE clause
--WHERE [Id] = 'abcd'

--search by one or more parameters below
/*
WITH(
	  Email='X'
	, CustomKey='X'
	, GlobalKey='X'
	, OrderID='X'
	, OrderReference='X'
	, SubscriptionId='X'
	, Products='PROD-1,PROD-2,PROD-3'
	, Refunds='true'
	, SubscriptionStatus='active'
)
*/

Get all accounts with specific product orders    [Read more...]

Use below query to search accounts who placed orders for specific products

SELECT * from Accounts WITH(Products='ssis-pp-pro,ssis-pp-pro-sub,ssis-pp-ent,ssis-pp-ent-sub')

Get account charges    [Read more...]

Use below query to search account charges

SELECT * from AccountCharges 

--search by one or more parameters below
/*
WITH(
	  Email='X'
	, CustomKey='X'
	, GlobalKey='X'
	, OrderID='X'
	, OrderReference='X'
	, SubscriptionId='X'
	, Products='PROD-1,PROD-2,PROD-3'
	, Refunds='true'
	, SubscriptionStatus='active'
)
*/

Get account orders by email id    [Read more...]

Use below query to search for accounts and orders with search criteria

SELECT * from AccountOrders
WITH(
	  Email='bob@abc.com'
)
	  
--search by one or more parameters below
/*
WITH(
	  Email='X'
	, CustomKey='X'
	, GlobalKey='X'
	, OrderID='X'
	, OrderReference='X'
	, SubscriptionId='X'
	, Products='PROD-1,PROD-2,PROD-3'
	, Refunds='true'
	, SubscriptionStatus='active'
)
*/

Get specific order by reference number (rather than Id)    [Read more...]

Search by Order by reference (fast way). If you have less rows then use Select * FROM Orders where Reference='BIX-123' it can be faster than below appproach

SELECT * from AccountOrders WHERE Reference='BIN240202-9666-28133' WITH(OrderReference='BIN240202-9666-28133')	
--or for handful rows use below way
--SELECT * from Orders WHERE Reference='BIN240202-9666-28133'

Conclusion

In this article we discussed how to connect to FastSpring in Informatica and integrate data without any coding. Click here to Download FastSpring Connector for Informatica and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download FastSpring Connector for Informatica Documentation 

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Custom Connector
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Download FastSpring Connector for Informatica Documentation

  • How to connect FastSpring in Informatica?

  • How to get FastSpring data in Informatica?

  • How to read FastSpring data in Informatica?

  • How to load FastSpring data in Informatica?

  • How to import FastSpring data in Informatica?

  • How to pull FastSpring data in Informatica?

  • How to push data to FastSpring in Informatica?

  • How to write data to FastSpring in Informatica?

  • How to POST data to FastSpring in Informatica?

  • Call FastSpring API in Informatica

  • Consume FastSpring API in Informatica

  • FastSpring Informatica Automate

  • FastSpring Informatica Integration

  • Integration FastSpring in Informatica

  • Consume real-time FastSpring data in Informatica

  • Consume real-time FastSpring API data in Informatica

  • FastSpring ODBC Driver | ODBC Driver for FastSpring | ODBC FastSpring Driver | SSIS FastSpring Source | SSIS FastSpring Destination

  • Connect FastSpring in Informatica

  • Load FastSpring in Informatica

  • Load FastSpring data in Informatica

  • Read FastSpring data in Informatica

  • FastSpring API Call in Informatica