How to connect FTP/SFTP JSON File to SSIS

Introduction

You can connect to your FTP/SFTP JSON File data in SSIS using the high-performance SSIS FTP/SFTP JSON File Connectors. We'll walk you through the entire setup.

Let's not waste time and get started!

Prerequisites

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

1. SQL Server Data Tools (SSDT) designer installed for Visual Studio.
2. SQL Server Integration Services Projects 2022+ Visual Studio extension installed.
3. SSIS PowerPack is installed.

Read data from FTP/SFTP JSON File in SSIS using Secure FTP JSON File Source (Export data)

In this section we will learn how to configure and use FTP/SFTP JSON File Connector in the API Source to extract data from the FTP/SFTP JSON File using Secure FTP Source for JSON Files.

1. Open Visual Studio and click Create a new project.

2. Select Integration Services Project. Enter a name and location for your project, then click OK.

3. From the SSIS Toolbox, drag and drop a Data Flow Task onto the Control Flow surface, and double-click it:

   

4. Make sure you are in the Data Flow Task designer:

   

5. From the SSIS toolbox drag and drop Secure FTP JSON File Source on the dataflow designer surface
   

6. Double click on Secure FTP JSON File Source component to configure it.

7. Create and configure a connection for the Secure FTP storage account.

   

8. You can use select your desired single file by clicking [...] path button.

   mybucket/dbo.tblNames.json

   dbo.tblNames.json

   
   
   
   ----------OR----------

   You can also read the multiple files stored in Secure FTP Storage using wildcard pattern supported e.g. dbo.tblNames*.json.
   

   Note: If you want to operation with multiple files then use wild card pattern as below 
   (when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash)
   
   mybucket/dbo.tblNames.json (will read only single .JSON file)
   mybucket/dbo.tbl*.json (all files starting with file name)
   mybucket/*.json (all files with .json Extension and located under folder subfolder)
   

   mybucket/dbo.tblNames*.json

   
   
   
   ----------OR----------

   You can also read the zip and gzip compressed files also without extracting it in using Secure FTP JSON File Source.

   

9. Now select/enter Path expression in Path textbox to extract only specific part of JSON string as below ($.value[*] will get content of value attribute from JSON document. Value attribute is array of JSON documents so we have to use [*] to indicate we want all records of that array)
   

   NOTE: Here, We are using our desired filter, but you need to select your desired filter based on your requirement.
   Click on Preview button to view the parsed JSON string response data and click OK.
   

10. That's it; we are done. In a few clicks we configured the to Read the FTP/SFTP JSON File data using ZappySys FTP/SFTP JSON File Connector

Load FTP/SFTP JSON File data into SQL Server using Upsert Destination (Insert or Update)

Once you configured the data source, you can load FTP/SFTP JSON File 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.

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:

   

9. Click OK to save the configuration.

10. Run the package and FTP/SFTP JSON File data will be merged with the target table in SQL Server, PostgreSQL, or Redshift:

    

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:

• How to design, debug, deploy, schedule SSIS Package (In SQL Agent and Catalog)

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:

• Preparing ADF instance to use SSIS PowerPack