Splitting DF single row to multiple rows based on range columns | PySpark | Realtime Scenario

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  • Опубликовано: 17 окт 2024

Комментарии • 8

  • @sravankumar1767
    @sravankumar1767 Год назад +1

    Nice explanation Sravana 👌 👍 👏

  • @sravankumar1767
    @sravankumar1767 Год назад +1

    Hi Sravana I have one doubt in my project we are extracting data rest api , basically we have 2 endpoints 2 json files are generated in raw then it moves delta ,2 tables are generated. Here we have to apply transformations. I have some doubts on mapping documents. I will share the mapping document can you please tell me the solution. Actually I didn't work on api's here different id's source column names and target column names same how can we write logic. Please help me

    • @sravanalakshmipisupati6533
      @sravanalakshmipisupati6533  Год назад +1

      Sure Sravan, please share the details to sravana.pisupati@gmail.com

    • @sravankumar1767
      @sravankumar1767 Год назад

      @@sravanalakshmipisupati6533 Thank you Sister, I have shared the mapping document

  • @manochoco23
    @manochoco23 Год назад +1

    How to do reverse of this ?

    • @sravanalakshmipisupati6533
      @sravanalakshmipisupati6533  Год назад

      You can use groupBy for the columns - ino and iname

    • @manochoco23
      @manochoco23 Год назад +1

      @@sravanalakshmipisupati6533 will try . Thanks for the videos . Keep them coming 👍🏽