How to fill NA, NULL in dataframe using PySpark in Databricks? | Databricks Tutorial |

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  • Опубликовано: 4 ноя 2024

Комментарии • 10

  • @asfandyarsaeed6402
    @asfandyarsaeed6402 2 года назад +1

    Level 🎉🎉🎉

  • @vishnuvardan1921
    @vishnuvardan1921 Месяц назад

    We can use DROPMULFORMED mode to remove the null values

  • @techproductowner
    @techproductowner 11 месяцев назад +1

    can you pls tell me why we need to use pyspark for maupulation when we can do the same in ADF ?

    • @GeekCoders
      @GeekCoders  11 месяцев назад +1

      Both uses spark

    • @GeekCoders
      @GeekCoders  11 месяцев назад +1

      It is same as one problem can be solved via python and java … depends on the broader thinking

  • @Gvfashontalks
    @Gvfashontalks 2 года назад

    Hi Sagar.. I’m currently learning ADF
    Only with ADF+SQL do we have job ..?

    • @GeekCoders
      @GeekCoders  2 года назад

      Jobs are there Ganesh. But you know SQL+ADF+ Spark then it would be very Great. You will have more chance to get good package

  • @insane2093
    @insane2093 Год назад

    Using SQL magic command --how to replace null values like case when isnull((col,'na') then 0) how to replace isnull here %sql not supported isnull?

    • @GeekCoders
      @GeekCoders  Год назад +1

      Use IFnull(col,replace value)

    • @insane2093
      @insane2093 Год назад +1

      @@GeekCoders thank you for quick reply . I will try this .