Spark - Repartition Or Coalesce

  Рет қаралды 20,356

Data Engineering

Data Engineering

Күн бұрын

Пікірлер: 11
@techtransform
@techtransform 2 жыл бұрын
is it because of we are dealing with less data?, if data grows then we can actually compare the results , thoughts ?
@dennysam829
@dennysam829 6 ай бұрын
Really love your videos on spark. ❤
@tanushreenagar3116
@tanushreenagar3116 Жыл бұрын
Best explanation 👌
@nagarajareddykorsipati2132
@nagarajareddykorsipati2132 2 жыл бұрын
Bro....i am eagerly waiting for vedios.........please upload continuously
@sunilprasathe7940
@sunilprasathe7940 2 жыл бұрын
Brother ... repartition solves the data skewness... ? whether it distributes the key to other partitions if it exceeds the size ?
@Growth__Hub_2805
@Growth__Hub_2805 Жыл бұрын
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 жыл бұрын
Clearly explained 👍
@justvenkyy...3423
@justvenkyy...3423 2 жыл бұрын
can you post on , working with small file in spark .how to fix or enhance the performance?
@Santhoshkumar-jy9ne
@Santhoshkumar-jy9ne 2 ай бұрын
Use Bucketing, to overcome small file problem
@nagamanickam6604
@nagamanickam6604 7 ай бұрын
Thank you
@karthikvenkataram4790
@karthikvenkataram4790 Жыл бұрын
👏👏👏👏👏
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