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46. Databricks | Spark | Pyspark | Number of Records per Partition in Dataframe 

Raja's Data Engineering
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22 авг 2024

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Комментарии : 12   
@syedkhader2126
@syedkhader2126 2 года назад
Fantastic explanation... Superb ... Thanks a lot.. 👍
@rajasdataengineering7585
@rajasdataengineering7585 2 года назад
Thank you Syed!
@sravankumar1767
@sravankumar1767 2 года назад
Superb....
@pointofview6161
@pointofview6161 9 дней назад
Can you please share dataset to do some poc, so that it is very useful
@a2zhi976
@a2zhi976 Год назад
Guruji .. somehow the video is not clear kind off faded especially functions topic. and thank you so much for your quick response on the other comments. ..
@rajasdataengineering7585
@rajasdataengineering7585 Год назад
Sure will check and fix it. Thanks for your comment
@vlogsofsiriii
@vlogsofsiriii 3 месяца назад
I have uploaded a 6MB of file and reading that file.It should create 1 partition right bcoz for 128MB it will create a partition . But it was created 2 partitions. Could you please tell me the reason ???
@SureshBabu-kf5jx
@SureshBabu-kf5jx 7 месяцев назад
HI Raja, As mentioned before, Spark creates the default number of partitions must be 8..Right? Then why only one partition has been cretaed in this example. Please help me on this?Thanks
@vlogsofsiriii
@vlogsofsiriii 3 месяца назад
I also have the same doubt.Could you please clarify ??
@adiadi-xe7ds
@adiadi-xe7ds 2 месяца назад
Can we use glom() function?
@rajasdataengineering7585
@rajasdataengineering7585 2 месяца назад
We we can use that also
@rajunaik8803
@rajunaik8803 Год назад
Hi Raja, you got default partition as 1 because the size of the file is less than default partition size i.e., 128MB. is this statement true? default number of partitions are depending on maxPartitionBytes right? can you clarify this. TIA
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