Amazon S3 XML File Connector for SSIS In this article you will learn how to quickly and efficiently integrate Amazon S3 XML File data in SSIS without coding. We will use high-performance Amazon S3 XML File Connector to easily connect to Amazon S3 XML File and then access the data inside SSIS. Amazon S3 XML File Connector can be used to read XML Files stored in AWS S3 Buckets. Using this you can easily integrate AWS S3 XML File data. It's supports latest security standards, and optimized for large data files. It also supports reading compressed files (e.g. GZip /Zip). Let's follow the steps below to see how we can accomplish that! Download Documentation Amazon S3 XML File Connector for SSIS is based on ZappySys Native SSIS Connector Framework which is a part of SSIS PowerPack. It is a collection of high-performance SSIS connectors that enable you to integrate data with virtually any data provider supported by SSIS, including SQL Server. SSIS PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few (if you are new to SSIS and SSIS PowerPack, find out more on how to use them).

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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 Amazon S3 XML File in SSIS using Amazon S3 XML File Source (Export data)

In this section we will learn how to configure and use Amazon S3 XML File Connector in the API Source to extract data from the Amazon S3 XML File using Amazon S3 XML File Source.

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.

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

   1. SSIS ToolBox on left side bar
   2. Solution Explorer and Property Window on right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. 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.

4. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.

   

5. From the SSIS toolbox drag and drop Amazon S3 XML File Source on the dataflow designer surface
   

6. Double click on Amazon S3 XML File Source component to configure it.

7. Create and configure a connection for the Amazon S3 storage account.

   

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

   mybucket/dbo.tblNames.xml

   dbo.tblNames.xml

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

   You can also read the multiple files stored in Amazon S3 Storage using wildcard pattern supported e.g. dbo.tblNames*.xml.
   

   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.xml (will read only single .XML file)
   mybucket/dbo.tbl*.xml (all files starting with file name)
   mybucket/*.xml (all files with .xml Extension and located under folder subfolder)
   

   mybucket/dbo.tblNames*.xml

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

   You can also read the zip and gzip compressed files also without extracting it in using Amazon S3 XML File Source.

   

9. Now select/enter Path expression in Path textbox to extract only specific part of XML string as below ($.value[*] will get content of value attribute from XML document. Value attribute is array of XML 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 XML string response data and click OK.
   

10. That's it; we are done. In a few clicks we configured the to Read the Amazon S3 XML File data using ZappySys Amazon S3 XML File Connector

Load Amazon S3 XML File data into SQL Server using Upsert Destination (Insert or Update)

Once you configured the data source, you can load Amazon S3 XML 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 Amazon S3 XML 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

Conclusion

In this article we showed you how to connect to Amazon S3 XML File in SSIS and integrate data without any coding, saving you time and effort. We encourage you to download Amazon S3 XML File 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 Amazon S3 XML File Connector for SSIS Documentation

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