![]() If you save it as a CSV, all your hard work will revert back to "General". Any column unspecified will be imported as "General".Ĥ) Check the values in the spreadsheet to make sure all the expected zeros are there, and check the column types to make sure they are text.ĥ) Save your file as an EXCEL file (XLSX). ![]() You can also choose date or other formats for the appropriate columns. ![]() For numbers you want treated as text - zip codes, phone numbers, lat/long, ID numbers - anything you don't want to do calculations on - choose TEXT. Select a column, then choose the type of data you want to import it as. Check to see that the data is separated as expected. Wait a bit if it is a big file.Ĭhoose "Comma" as the delimiter. In a sheet, select the DATA ribbon, and then choose "From Text". (If you do open it, don't save it.)Ģ) Open a new blank Excel workbook. Excel (XLSX) files will preserve these formats, CSV files won't.ġ) Download the CSV, but don't open it. To preserve all the digits in text-formatted numbers, you have to import the downloaded CSV file as raw data into a new Excel spreadsheet, set the column datatypes as needed, and then save the new file as an Excel workbook. This is the structure of the flat file: HEADER001 1234 5678 I want to skip the header, already set the Header rows to skip to 1 and unchecked the Column names in the first data row. This doesn't seem to happen to everyone, depending on their installation of Excel, but here is a workaround if it happens to you. 1 I'm trying to import flat file using SSIS. Anything that looks like a date is formatted as a date, and anything that looks like a number is formatted as a number. So when the file is opened Microsoft Excel takes over and sets all the datatypes to "General". This workflow works great except if there is no files in the source folder. Why?ĭata & Insights exports all the digits to the CSV file, but not the datatypes. I design a package that reads a flat file from a source folder, inserts the data into a database and then moves the flat file to an archived folder. You open it only to discover that the leading zeros on the zip codes are gone, or the trailing zeros after a decimal place are gone. You've downloaded your data to a CSV file.
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