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Multiple source data formats for the same file extension

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Posted on by CU29041349-0 156
Hello,
 
Within Data management > Configure data source (tile), I would like to have another instance of the CSV data format with the same "csv" extension except the new instance would have First row header toggled off. 
I cannot change the existing instance because I already have a data entity export to csv which requires the header. However, the export I'm working on does not require the header. 
I attempted to create a new Source data format but it encounters an error because I'm using the same 'csv' extension. Wondering if maybe there's an override at the export job level, perhaps? 
 
 
Categories:
Development / Customization / SDK
  • André Arnaud de Calavon Profile Picture
    André Arnaud de Cal... 285,407 Super User on at
    Multiple source data formats for the same file extension
    Somehow many replies from volunteers are not visible on the forum. Potentially they got deleted by mistake. The community administrators are aware of the issue and are investigating what happened.
  • Martin Dráb Profile Picture
    Martin Dráb 225,446 Super User on at
    Multiple source data formats for the same file extension
    Please tell us what error you're getting, not just that you're getting an error. Different problems require different solutions.
     
    By the way, I don't see Anthony's reply you reacted to.
  • CU29041349-0 Profile Picture
    CU29041349-0 156 on at
    Multiple source data formats for the same file extension
    Hi Anthony,
    I arrived at the same conclusion, but the system which consumes this file to may require the 'CSV' file extension. Wondering if there's a way around this constraint. 
  • Suggested answer
    Anthony Blake Profile Picture
    Anthony Blake 1,046 on at
    Multiple source data formats for the same file extension
    Hi
     
    The only way I can see you can do this is to create a new header specific csv format with headers switched on, and use a unique extension such as "csvh" or "csv1", as csv will already be used.

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