However, you can enroll SSIS packages as information sources with the Admin Middle by making use of the right after Data Feed Posting Components. The data can end up being consumed as OData feeds by querying the view.The Power BI Admin Middle, by default, allows you to sign-up just SQL Machine data resources. Please read the following article that describes how you can execute a SSIS Package using DTEXEC utility (SSIS Tool).Microsoft SQL Server 2012 Incorporation Services (SSIS) Information Feed Posting Elements can orient information from various data sources as views in SQL Server 2012 database instances. Click Add… button, choose the location where to save the file, type the name of the file and press Save button.Ĭhoose XML configuration file, press Next and select the properties you want to configure using the dtsConfig file.
Check Enable package configuration and add a new configuration file. This will open Package Configuration Organizer. In Properties panel select Configuration … Go to Control Flow, right click and select Properties (Alt+Enter). This will allow you to change package settings (SQL connection string, initial catalog, server name, username, password, CSV file path and many others) without ever opening it with SQL Data Tool. The final step is to set the SSIS package configuration by adding a dtsConfig file. Test the package to see if data is extracted to CSV. As best practice click on Suggest Types… This will help you select the correct Data type based on retrieved sample data. In Advanced section you can configure the properties of each column. Mark the checkbox for Column names in the first data row. Select an empty CSV file and specify the file properties and file format. The File Flat format has to be Delimited – the columns are delimited by commas, except the last one which is delimited by new line character. Double click on it to open Flat File Destination Editor.Ĭreate a new Connection Manager. In order to fix this you have to configure the connection manager for a flat file. Connect the Blue coloured arrow mark from Source data to Flat File Destination.Īs you can see now the Flat File Destination Task has a small red error icon.
At the end press OK button.įrom SSIS Toolbox section Other Destinations drag Flat File Destination. Click Preview… in order to check if the retrieved information is correct. Next step select the table that you want from the list below. If you are using the SQL command access mode, specify the SQL command either by typing the query or by using Query Builder. Rename the task MsSQL Database Source and double click on it to configure the properties used by the Data Flow to obtain data from the OLE DB provider.īy default the OLE DB connection manager is set (to one that you recently created). The message will be Test connection succeded. This will open a new window where you have to set up the following information: Server Name and Log on to the server option.Īfter fill in, test connection to make sure that everything is correct.
Select SQL Server from the left side (Select source type) and double click on New (Select connection managers). A new window opens and you have to select an already existing connection or to create a new one. Finally the data is written using Data Flow Destination like OLE DB Destination, Flat File Destination, Excel Destination, DataReader Destination, ADO NET Destination etc.ĭrag the Source Assistant. After this you need to apply different transformations in order to comply with business rules. The information is extracted using Data Flow Sources like OLE DB Source, Raw File Source, Flat File Source, Excel Source etc. This is where you can extract, transform and load the data. Design Data Flowĭouble click to go to Data Flow design area. Right click on the task and rename it Export to CSV. This is the design area in SSIS Package where you handle the flow of operations. Design Control Flowįrom the SSIS Toolbox drag the Data Flow Task to the design surface of the Control Flow tab. Name the project ExportCSV and choose the location where to save it. Navigate to File > New > Project and select Integration Services Project from Template > Business Intelligence > Integration Service. Open SQL Server Data Tools and create a new Business Intelligence Project.