Spark - Repartition Or Coalesce

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КОМЕНТАРІ • 10

  • @dennysam829
    @dennysam829 3 місяці тому

    Really love your videos on spark. ❤

  • @techtransform
    @techtransform 2 роки тому +3

    is it because of we are dealing with less data?, if data grows then we can actually compare the results , thoughts ?

  • @tanushreenagar3116
    @tanushreenagar3116 Рік тому +1

    Best explanation 👌

  • @nagarajareddykorsipati2132
    @nagarajareddykorsipati2132 2 роки тому

    Bro....i am eagerly waiting for vedios.........please upload continuously

  • @sunilprasathe7940
    @sunilprasathe7940 2 роки тому

    Brother ... repartition solves the data skewness... ? whether it distributes the key to other partitions if it exceeds the size ?

  • @nagamanickam6604
    @nagamanickam6604 3 місяці тому

    Thank you

  • @Growth__Hub_2805
    @Growth__Hub_2805 Рік тому

    You are the kickstarter my journey in DE,
    So while watching these video, i am not able to get some methods u using , so do i need to go some beginer level than this, eg: toDF and lit in DF1 are unable to get what is ur suggesstion? like the way i missed some code areas when describe about spark custom partition with (extends u used at clas my Custom Partition_

  • @yukeshkumar3566
    @yukeshkumar3566 2 роки тому

    Clearly explained 👍

  • @justvenkyy...3423
    @justvenkyy...3423 Рік тому

    can you post on , working with small file in spark .how to fix or enhance the performance?

  • @karthikvenkataram4790
    @karthikvenkataram4790 Рік тому

    👏👏👏👏👏