Spark - Repartition Or Coalesce
Ғылым және технология
#spark #repartition
Video Playlist
-----------------------
Big Data Full Course English - bit.ly/3hpCaN0
Big Data Full Course Tamil - bit.ly/3yF5uVD
Big Data Shorts in Tamil - bit.ly/3v2aL8p
Big Data Shorts in English - bit.ly/3tVEs9T
Hadoop in Tamil - bit.ly/32k6mBD
Hadoop in English - bit.ly/32jle3t
Spark in Tamil - bit.ly/2ZzWAJN
Spark in English - bit.ly/3mmc0eu
Hive in Tamil - bit.ly/2UQVUgv
Hive in English - bit.ly/372nCwj
NOSQL in English - bit.ly/2XtU07B
NOSQL in Tamil - bit.ly/2XVLLjP
Scala in Tamil : goo.gl/VfAp6d
Scala in English: goo.gl/7l2USl
Email: atozknowledge.com@gmail.com
LinkedIn : / sbgowtham
Instagram: / bigdata.in
KZread channel link
/ atozknowledgevideos
Website
codewithgowtham.blogspot.com
github.com/atozknowledge
Technology in Tamil & English
Пікірлер: 10
Bro....i am eagerly waiting for vedios.........please upload continuously
Really love your videos on spark. ❤
Best explanation 👌
Clearly explained 👍
can you post on , working with small file in spark .how to fix or enhance the performance?
is it because of we are dealing with less data?, if data grows then we can actually compare the results , thoughts ?
Brother ... repartition solves the data skewness... ? whether it distributes the key to other partitions if it exceeds the size ?
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_
Thank you
👏👏👏👏👏