45. Databricks | Spark | Pyspark | PartitionBy

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  1. Raja's Data Engineering
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Комментарии
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Best creator on pyspark. Continue doing this

Basket-hbjc
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Hi Raja, Canyou let the difference among, Partition by, repartition and shuffle parameter. I remember in the previous videos that we use Repartition while reading and writing dataframe to disk and shuffle parition is to increase or decrease the partitions while suffling the data in transformations. Can you you please clarify me on the same. Thanks

SureshBabu-kfjx
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If i read this partitioned data, the columns on which the partition has been done are coming at last and there by schema is changing. Is there a way to preserve the schema?

vineethreddy.s
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very usefulll videos, can please do more videos

sravankumar
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Hi Raja, Thanks for posting all the concepts! have you shared the datasets which you are referring in all lectures ? can we have these datasets please?

DeepakPatel-vcyr
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question is why do need to write dataframe to disk?

likhithcr
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If possible can you also try to explain if we can update only certain range of partition data. For eg. if the data is partition by month, and i want to update only last 3 months of partition data then how we can achieve that?

swapnilgosawi
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Hi Raja, while writing the dataframe to dbfs or blob, is there a way in which we can only write the part file and not the system files?

samridhisamridhi
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Please make a detail video on salting techniques and how to do salting

simanchalmaharana
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Hi Sir, May i know the difference between partitionBy and repartition it's a bit confusing.

kaminipriya