Amazon S3 CSV File Connector for SSIS

Amazon S3 CSV File Connector can be used to read CSV Files stored in AWS S3 Buckets. Using this you can easily integrate AWS S3 CSV 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 CSV File data inside SSIS and SQL Server. Let's take a look at the steps below to see how exactly to accomplish that.

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Prerequisites

Before we perform steps listed in this article, you will need to make sure following prerequisites are met:
  1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft site).
  2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
  3. Make sure ZappySys SSIS PowerPack is downloaded and installed (download it). Check Getting started section for more information.
  4. Optional (If you want to Deploy and Schedule ) - Deploy and Schedule SSIS Packages

How to read data from Amazon S3 CSV File in SSIS using Amazon S3 CSV File Source (Export data)

In this section we will learn how to configure and use Amazon S3 CSV File Connector in the API Source to extract data from the Amazon S3 CSV File using Amazon S3 CSV 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
    SSIS Project Screen
    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.
    SSIS Data Flow Task - Drag and Drop

  5. From the SSIS toolbox drag and drop Amazon S3 CSV File Source on the dataflow designer surface
    SSIS Amazon S3 CSV File Source - Drag and Drop

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

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

    Create Amazon S3 Storage Connection
  8. You can use select your desired single file by clicking [...] path button.

    mybucket/dbo.tblNames.csv
    dbo.tblNames.csv
    Read Amazon S3 CSV File data


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

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

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

    mybucket/dbo.tblNames*.csv
    Use wildcard pattern .* to read multiple Amazon S3 Files data


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

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

    Reading zip and gzip compressed files (stream mode)
  9. Click on Preview button to see the data and click on OK.

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

Load Amazon S3 CSV File data in 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 CSV 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
    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.
    SSIS SQL Upsert option

  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 CSV File and load the data in the SQL Server/PostgreSql/Redshift using Upsert Destination.

    Execute Package - Reading data from API Source and load into target

Conclusion

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

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