![]() Product_csv = product_list.to_csv(index=False)ĭatatosend = io.BytesIO(product_csv.encode('utf-8')) Product_list = pandas.DataFrame(products) # convert the SQL data to comma separated text ![]() ('Python HTTP trigger function processed a request.') To write data to an FTP server, we can use the built-in library ftplib in Python.ĭef main(everyDayAt5AM: func.TimerRequest, products: func.SqlRowList) -> func.HttpResponse: Manually invoke the timer triggers using the built-in HTTP endpoint.Start the function locally by pressing F5 in Visual Studio Code or the Run and Debug icon in the left-hand side Activity bar.Copy to and update the values for SqlConnectionString, FTP_HOST, FTP_USER, and FTP_PASS with your own values.Clone this repository to your local machine.If you don't have a SQL database, either run SQL Server in a container or create an Azure SQL Database.Complete the Configure your environment steps to setup your local development environment for Azure Functions.Python dependencies for the Azure Function, including azure-functions, pandas, and requests Scenario 2: Take data from the Azure SQL Database and send the data to an API endpointĪzure Function that sends data from SQL to an API endpoint, Scenario 2Īzure Function that sends data from SQL to an FTP server, Scenario 1Īzure Functions app settings file, used for local development - update and copy to.txt files from data currently stored in Azure SQL Database and send the files to an FTP server How do I transfer data from Azure SQL Database in Python every day?
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