Nativo Connector for Azure Data Factory (SSIS) How to Make Generic API Request (Bulk Write)

Prerequisites

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

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

Make Generic API Request (Bulk Write) in SSIS

Begin with opening Visual Studio and Create a New Project.
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
Note: If you don't see ZappySys SSIS PowerPack Task or Components in SSIS Toolbox, please refer to this help link.
Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.
Read the data from the source, using any desired source component. You can even make an API call using the ZappySys JSON/XML/API Source and read data from there. In this example, we will use an OLE DB Source component to read real-time data from a SQL Server database.
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.
Select New Connection to create a new connection:

API Destination - Nativo

Nativo Connector can be used to integrated operations supported by Nativo REST API.
To configure the Nativo connector, choose one of the following methods:
- Choose from Popular Connector List: Select a pre-installed service directly from the dropdown menu.
- Search Online: Use this to find and download a new connector file to your computer.
- Use Saved/Downloaded File: Once the file is downloaded, browse your local drive to load it into the configuration.
After that, just click Continue >>:

Nativo

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.

Http

Nativo authentication

Please refer to external API reference

API Connection Manager configuration

Just perform these simple steps to finish authentication configuration:

Set Authentication Type to Http [Http]
Optional step. Modify API Base URL if needed (in most cases default will work).
Fill in all the required parameters and set optional parameters if needed.
Finally, hit OK button:

Nativo

Http [Http]

https://api.nativo.com/v2

Optional Parameters
Api Key
Api Secret
RetryMode	RetryWhenStatusCodeMatch
RetryStatusCodeList	429
RetryCountMax	5
RetryMultiplyWaitTime	True

Select Generic Table (Bulk Read / Write) table from the dropdown, then select Insert, Update as operation, and hit Preview Data:

API Destination - Nativo

Nativo Connector can be used to integrated operations supported by Nativo REST API.

Nativo

Generic Table (Bulk Read / Write)

Insert, Update

Required Parameters
Url	Fill-in the parameter...
Request Method	Fill-in the parameter...
Optional Parameters
IsMultiPart
Filter
Request Format (Content-Type)	Default
Body	{$rows$}
JsonOutputFormat	Multicontent
DoNotOutputNullProperty
Batch Size (Default=1)	1
Meta Detection Order	StaticDynamicVirtual
Input Columns - For Mapping (e.g. MyCol1:string(10); MyCol2:int32 ...) - Use bool, int32, int64, datetime, decimal, double
Output Columns (e.g. MyCol1:string(10); MyCol2:int32 ...) - Use bool, int32, int64, datetime, decimal, double
Request Format
Response Format	Default
Headers	Accept: / \|\| Cache-Control: no-cache
Csv - Column Delimiter	,
Csv - Row Delimiter	{NEWLINE}
Csv - Quote Around Value	True
Csv - Always Quote regardless type
Encoding
CharacterSet
Writer DateTime Format
Csv - Has Header Row	True
Xml - ElementsToTreatAsArray
Layout Map	<?xml version="1.0" encoding="utf-8"?> <!-- Example#1: Output all columns --> <settings> <dataset id="root" main="True" readfrominput="True" /> <map src="*" /> </settings> <!-- Example#2: Records under array <?xml version="1.0" encoding="utf-8"?> <settings singledataset="True"> <dataset id="root" main="True" readfrominput="True" /> <map name="MyArray" dataset="root" maptype="DocArray"> <map src="OrderID" name="OrderID" /> <map src="OrderDate" name="OrderDate" /> </map> </settings> --> <!-- Example#3: Records under nested section <?xml version="1.0" encoding="utf-8"?> <settings> <dataset id="dsRoot" main="True" readfrominput="True" /> <map name="NestedSection"> <map src="OrderID" name="OrderID_MyLabel" /> <map src="OrderDate" name="OrderDate_MyLabel" /> </map> </settings> -->

SSIS API Destination - Access table operation

Finally, map the desired columns:

API Destination - Nativo

Nativo Connector can be used to integrated operations supported by Nativo REST API.
That's it; we successfully configured the POST API Call. In a few clicks we configured the Nativo API call using ZappySys Nativo Connector

Deploy SSIS package to Azure Data Factory (ADF)

Once your SSIS package is complete, deploy it to the Azure-SSIS runtime within Azure Data Factory. The setup process requires you to upload the SSIS PowerPack installer to Azure Blob Storage and then customize the runtime configuration using the main.cmd file. For a complete walkthrough of these steps, see our detailed guide on the Azure Data Factory (SSIS) and Nativo integration.

Download Nativo Connector for Azure Data Factory (SSIS) Documentation