Sql for csv files

On the image below, the ExportData. The bcp bulk copy program utility is used to copy data between SQL Server instance and data file. Then type bcp?

In our case, an error occurs:. As it can be seen from the error message box, the msodbcsql Now, when in the Command Prompt window, the bcp? The screen above shows all the different switches that can be used in bcp utility. In the Command Prompt window, type the word bcp followed by the name of the SQL table from which exporting data should be done by typing the following steps, first type the name of the database which contains the table from which you want to export data, followed by dot.

After the dot, type the schema name of the table, after the schema name, type dot and after the dot, type the table name which contains data for exporting e. AddressType :. Also, the queryout command exists which copies data from an SQL query to a specified file. The in command copies data from a file to a specified database table.

Now when the csv file is specified, there are a few more switches that need to be included in order to export SQL Server data to CSV file. Then type the -c switch and, after that, type the -t switch to set the field terminator which will separate each column in an exported file. In the example, the comma , separator will be used:.

At the end, enter a switch which determines how it will be accessed to the SQL Server. In this example, the trusted connection -T switch will be used:.

Now, when the Enter key is pressed, the similar message will appear with information about copied data:. 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:.

That will be easier and less time-consuming. If the data requirement is non-hierarchical, CSV can be a good fit. What about the target system using SQL Server? It is rated 4. You will ask how to do it. The answer is described in detail below. Check it out in the screenshot below. So, download a copy of the actor. Remember where you saved it. It can be used to upload various file formats, including CSV.

If you love a little coding, this is the way to go. The first command simply deletes all the records in the target table. Finally, specify what row the data starts. Another way to do it is in PowerShell. First, you need to go to Object Explorer and select the target database. Expand the Databases folder. Check it out below. Right-click that database and then select Tasks. And then, click Import Data. From here, click Next. This part will let you pick the data source. For this, click the drop-down list and select Flat File Source.

Afterwards, click Next. Now, you need to specify the file. Click Browse and specify the path of the CSV file as shown in the screenshot. If you have downloaded it, specify the download location. And afterwards — actor. Proceed further by clicking Open.

In our sample data, detection of the correct types and sizes is off. So, we need to set it up ourselves. To avoid errors and headaches. Then, you will see a list of columns. Click each and set the type and size. Now, you need to specify the SQL Server as the target of the import process.

Then, select the SQL Server name and enter the necessary credentials. Select the Database name and click Next. After selecting the database, you also need to specify the table. Choose the Actors table. Once the Column Mappings window appears, check if the columns from the source and target match. In these 3 csv files we have housing data for 3 separate streets dealing with square footage, number of bedrooms and bath rooms and a garage indicator field.

Lastly to avoid reprocessing a file that may exist in two separate directories where you run this process create a PreviouslyProcessed table and in the while loop select exclude filenames of that name. Great point, I have added an additional code block to incorporate a simple method to avoid reprocessing files of the same name.

Thank you for your suggestion! Thanks for bringing this up! I'm confused, though. What's up with that? As a final step, we should delete or archive files in a source folder in order not to load them again.

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