Sql select into csv file

To start creating a report server project first open SSDT. Go to File menu and under the New sub-menu, choose the Project option:. In the Name box, enter the name of the project e. ExportData and in the Location box, choose where the project will be created:. After that is set, press the OK button, the Report Wizard window appears, press the Next button to continue:. In the Connection string box, a connection string to the SQL Server database can be entered from which a report can be created or press the Edit button on the Select the Data Source window and in the Connection Properties window, set the connection string to the desired database, like from the image below, and press the OK button:.

This will be in the Connection string box on the Select the Data Source window. Press the Next button to continue with the settings:. In the Design the Query window, specify a query to execute to get data for the report.

There are two ways for getting a query to execute. After setting the query, click the Next button. On the Select the Report Type window, leave default settings and press the Next button:. On the Design the Table window, we will leave everything as it is and press the Next button:. Press the Finish button to create the report:. After we pressed the Finish button, the created report will show. Under the Preview tab, click the Export button and, from the menu, choose in which format generated data will be exported e.

CSV :. In the Results grid, select the part or all data, right click and from the context menu, under the Copy results as sub-menu, choose the CSV command:. This will copy the selected data from the Results grid to the clipboard. Now, all that needs to be done is to create a file where the copied data should be pasted:.

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Solution center. If you choose this, you can schedule the package to run at regular intervals. In our case, we will just run it immediately. For better understanding, check out the next screenshot.

Then, choose Next to see a summary of your chosen settings. Or click Finish to run the import process. You will see the progress in the next window if you click Finish. You can also choose Import Flat File , but it will always dump to a new table.

And you cannot save it to an SSIS package. Before you can use it, you need an account on Skyvia and Google. Both are free to register. To start, you need to log in to Skyvia. You will be redirected to your default workspace. Then, from here, you can create all the 3 things above. Then, select Agent. Then, download and install the Skyvia agent. Please pay attention to where you install the agent.

You will need this when you download the Agent Key. Finally, download the agent key file and store it where you install the Skyvia Agent. From here, your agent configuration has been completed.

But you need to test it. So, run the installed Skyvia agent application. Once done, you can check the status on Skyvia. For this, click NEW and click Connection.

Then name the connection MyGDrive , and sign in to your Google account. Click Create Connection to create a connection. Click NEW again and select Connection. Refer to the screenshot above. Then click SQL Server. Then enter the server name, credentials, and database name.

The final part is to create the Skyvia package. So, start by clicking NEW and then Import. This will create an import package. First, whatever existing record there is in the Actors table, it should be deleted. Under Tasks , click Add new. A new window will appear. Then, select the actor. Click Next step to proceed further. On the second page, under Operation , click Delete. This will delete the records in the target. This independence also allows moving data between different operating systems like Windows and Linux.

Companies working with data on different platforms can operate on the same data and move data by using the CSV format to import and export. The CSV format also provides an easy way to understand data because it is human-readable.

When we run it, all data is displayed in the SQL output window. But what if we want to see the same data in other applications like Excel? Read on to find out several methods for exporting data from a table to a CSV file.

There are several different methods to do so. First, run SSMS. In the next step, expand the Database node and right-click on your database that contains the table product our database is store. Fill other fields like the name of the server, login, and password to the server, and choose the database storing the table you would like to export our table product is in the database store :.

Now, choose the destination file format. Fill the fields with the name of the file, the location, and the code page. In the next step, select either the option to transfer all data from the table or write an SQL query to do so. Going with the first option looks like this:. Close the wizard window and go to the file with the data from the table product. You can find it in the catalogs in the user folder of the Windows OS.

In the Object Explorer window, expand the Database node and select the database that contains our table product. Select all data from the table product :. In the result set, you see all data from the table.

This file contains your data, but without the column names.