Managing Spark Partitions | Spark Tutorial | Spark Interview Question

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  1. TechWithViresh
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Комментарии
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Hats off and hands down dude you are genius

anmolchoudhary
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Thanks a lot Viresh. I have not seen this level of explanation so far. This really helps. :-) Would you be able to share the ppt's or atleast the plain notes from the ppt's?

subramanyams
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Why we have not used coalesce instead of repartition for 2000 records from 13000 to 4 partitions.

sushantsangle
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Please explain with any dataset, all are explaining same with the numbers only

RangaSwamyleela
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Does spark really create empty part files if there are empty partitions ? I tried to simulate the same in databricks platform and I observed that it has only written partitions which had some data. Empty partitions were not written and hence empty part files were not created. Could you please confirm this ?

SachinChavan
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Thanks for explanation, one question i have, how i come to know the partition count of my data like u said 13k in your case, if have some orc files?

rahuljain
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For the last example, using coalesce instead of repartition will cause less shuffling of data, is that correct? Thanks!

snehakavinkar
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Why you wont go for colease for 13000 partitions??

abhishekkn