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Power Platform Community / Forums / Power Automate / How to ignore/skip oda...
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How to ignore/skip odata.etag and ItemInternalId columns while converting excel to .csv file

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Posted on by Microsoft Employee

Hi, while converting excel to .csv there are two ("@odata.etag","ItemInternalId") extra columns added in .csv file. How can I skip creation of these two columns in my .csv file...these columns are not required. Also, I want the flow to be reading multiple excels and creating .csv so I can't select specific columns or hard-code it...as i's different in all tables. Any suggestions how to resolve this issue?

 

[
  {
    "@odata.etag""",
    "ItemInternalId""2......",
........
}
]

 

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  • CFernandes Profile Picture
    8,482 Most Valuable Professional on at

    Hey Mate,

     

    You can use a Select Data Operation and map just the columns you want into a new data collection

     

    CFernandes_0-1602573317300.png

     

    If this reply has answered your question or solved your issue, please mark this question as answered. Answered questions helps users in the future who may have the same issue or question quickly find a resolution via search. If you liked my response, please consider giving it a thumbs up. THANKS!

     

  • Community Power Platform Member Profile Picture
    Microsoft Employee on at

    Hi,

    I don't want to do mapping as it's 40+ excel for which conversion to .csv is required and all tables/columns are different in each excel...I want a dynamic solution which I'm afraid is possible or not...

  • abm abm Profile Picture
    32,985 Most Valuable Professional on at

    Hi @Anonymous 

     

    This blog might be helpful posted by Josh Cook.

     

    https://flowaltdelete.ca/2020/06/25/power-automate-excel-dynamic-file/

     

    Thanks

  • Community Power Platform Member Profile Picture
    Microsoft Employee on at

    Hi @abm ,

    I checked the blog, but it's for dynamic file name...which I don't want. The output of the object "list rows present in a table" for excel is creating these 2 extra columns which can be seen in the images posted in that blog...odata.etag & ItemInternalId...if there's a way to skip those extra columns then my work will be done, otherwise have to find some other workaround!

  • abm abm Profile Picture
    32,985 Most Valuable Professional on at

    Hi @Anonymous 

     

    You could try parsing the output to Parse JSON and iterate the values and construct the  CSV files using Append string variable. That might be a possibility.

     

    Thanks

  • Community Power Platform Member Profile Picture
    Microsoft Employee on at

    It's dynamic schema so this might not work.

  • CFernandes Profile Picture
    8,482 Most Valuable Professional on at

    @Anonymous I understand you have 40+ column but it is a one time activity. You can also try @abm suggestion and Josh Cooks article looks promising.. 

     

    If this reply has answered your question or solved your issue, please mark this question as answered. Answered questions helps users in the future who may have the same issue or question quickly find a resolution via search. If you liked my response, please consider giving it a thumbs up. THANKS!

     

  • Community Power Platform Member Profile Picture
    Microsoft Employee on at

    Hi @CFernandes ,

     

    It's 40+ excel/tables...if it was 1 then I know manual mapping option. Blog doesn't help in answering my question and has same issue which i want to resolve. Have thought of a workaround for this requirement. Anyways thanks for your reply 🙂

  • Dnyaneshwar Profile Picture
    7 on at

    Hi @Anonymous ,

     

    You and me in the same boat. I also want to avoid those two extra columns i.e @odata.etag and ItemInternalId while converting my excel into csv file.

     

    Do you get any solution or any workaround to overcome this challange?

     

    Please reply.

     

    Thanks in advance.

  • DaveDodge Profile Picture
    24 on at

    Seems like a big miss.  These data values are not present in the tables that we are parsing, they are not expected or wanted, and we shouldn't have to jump through magical hats to make them disappear.  Please fix this.  This is a big problem.

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