Amazon S3 XML File Connector for 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). You can use this connector to integrate Amazon S3 XML File data inside SSIS and SQL Server. Let's take a look at the steps below to see how exactly to accomplish that. Download Documentation If you are new to SSIS and ZappySys SSIS PowerPack then check these links to get started: How to get started with SSIS and SSIS PowerPack. It covers how to install necessary tools to design and debug SSIS packages, deploy them to SSIS catalog, and lastly, schedule SSIS packages to run them using SQL Server Agent. You will also find how to securely parameterize SSIS package (e.g. password, user name, OAuth token, etc). SSIS API Source Help File SSIS API Destination Help File

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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 read data from the desired source, now let's see how to Load Amazon S3 XML File data in SQL Server using Upsert Destination. Upsert Destination can Merge/Synchronize data from source to target for Microsoft SQL Server, PostgreSql and Redshift. It supports very fast Bulk Upsert (Update or Insert) operation along and Bulk delete.

1. From the SSIS toolbox drag and drop Upsert Destination on the dataflow designer surface
   

2. Connect our Source component to Upsert Destination

3. Double click on Upsert Destination component to configure it.

4. Select the desired Microsoft SQL Server/PostgreSql/Redshift Target Connection or click NEW to create new connection. Select Target Table or click NEW to create new table based on source columns.
   
   Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS

5. Set Action to Upsert => (insert if not matching in target else update). Select Target Connection and Target Table. Check on Insert and Update. Click on Map All to Mappings all columns and check on Only Primary Key columns.
   

6. Click on OK to save Upsert Destination settings UI.

7. That's it. Run the SSIS Package and it will read the data from the Amazon S3 XML File and load the data in the SQL Server/PostgreSql/Redshift using Upsert Destination.

   

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 How to design, debug, deploy, schedule SSIS Package (In SQL Agent and Catalog) article to see how to do it.

Conclusion

In this article we discussed how to connect to Amazon S3 XML File in SSIS and integrate data without any coding. Click here to Download Amazon S3 XML File Connector for SSIS 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 Amazon S3 XML File Connector for SSIS Documentation 

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