In the Arguments, we need to type following command.Ī -t7z “C:\sqlshack\Draft articles\Data\Inventory.zip” “C:\sqlshack\Draft articles\Data\Inventory.xlsx” You can browse to the directory or paste the complete path here as shown in the following image. In the Executable, we need to specify the path for the 7z.exe. In the Execute Process Task Editor, click on Process. You can find this utility in C:\Program Files\7-Zip directory. It is available with the Windows by default. In this article, we are going to use the open source tool with compression to prepare the compressed files into the. It opens the Execute Process Task Editor. We can see renamed task in the following image. Right click on the Execute Process Task and Rename it to File ZIP Task. In the Control Flow, drag Execute Process Task in SSIS configuration. In Business Intelligence templates, click on Integration Services and Integration Service Project.Īs shown in the image above, we can provide the SSIS package name and location to create the SSIS package solution. In Visual Studio 2017, go to File -> New -> Project. We need to install SQL Server Integration Services feature during the installation. If we do have it installed, you can go to Install SSDT with Visual Studio 2017 and download required setup files. We need to open Visual Studio 2017 with SQL Server Data Tools to prepare the SSIS package. We need to do the following steps to ZIP this file: We have the following excel file, and we want to ZIP the file using the SSIS package. Import data into SQL Server tables using a ZIP file Prepare a compressed file using an SSIS package In this article, we will first look out the following tasks We might need to create a ZIP file as well from the existing files. If we are receiving a ZIP file to import into SQL Server, we need to unzip it and then only we can import data. In doing so, might receive data in a compressed file, which helps to send data over the network using a ZIP file format because it reduces the file size significantly. We can prepare a ETL (Extract-Transform-Load) process to import data into the SQL Server. You might receive data in various formats and want to import into SQL Server. I have seen many organizations receive data from various sources and import into SQL Server.
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