It’s not part of our distribution but there is a python transform [1] Cheers, Hans
[1] https://github.com/m-a-hall/hop-cpython On 2 December 2022 at 12:59:04, [email protected] ([email protected]) wrote: Thank you Matt, that looks quite mosaic :-) Maybe I'd try to use Python in the first stages. But there's no Python action in Hop :-( There will be one day? Regards Sent: Thursday, December 01, 2022 at 4:28 PM From: "Matt Casters" <[email protected]> To: [email protected] Subject: Re: Any trick to read data from Excel file where no of columns is not known? A long time ago I did this in 'another' tool. IIRC this is what's involved: 1) Scan the Excel files and determine the sheets, number of columns, their names and data types 1a) Sheets: leave the sheet name blank in the list, simply set start column/row to 0/0, include sheet name as an additional column in the output. 1b) Columns: set a few hundred unnamed columns, all strings, read 1 one row. The values are the names of the columns 1c) Data types: write to a CSV file and use the "File Metadata" transform to get the types 2) Inject this information into the Excel Input transform using ETL Metadata injection which also runs the pipeline. Best of luck, Matt On Thu, Dec 1, 2022 at 3:12 PM <[email protected][mailto:[email protected]]> wrote:Hello, do we have some way to read data from Excel file where number of columns is unknown? I mean sometimes file can be like: column_1; column_2 but other time column_1; column_2; column_3; column_3 Normally we need to define them in 'Fields' tab - possible not to do that in a fixed way? Regards
