69. Databricks | Spark | Pyspark | Data Skewness| Interview Question: SPARK_PARTITION_ID

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Azure Databricks Learning: Identify Data Skewness

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Big Data Interview Question: How to identify Data Skewness in Spark programming?

What is spark_partition_id and what is the usage of it?

Spark_partition_id is one of the spark in-built function, which is used to identify the partition id of each record in a dataframe.
This function can be leveraged to detect the data skewness in spark programming.
This video covers complete details about this function and use cases

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Great content as always 👌👌 just have one question - you mentioned while loading the external file spark creates 8 partitions. Is it by default? As far as i know it depends on partition size (default -128mb), so it should create partition based on it and also no. of files (if we have 10 files less than 128 mb then, i guess it should create 10 partitions). Please confirm. 😊

gyan_chakra
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thank you for sharing your knowledge, really helpful!
In this example the partition is based on defaultParallelism or maxPartitionBytes parameter? because you mention external file (in that case partition should be based on maxPartitionBytes parameter, I am referencing this from your 'repartition vs coalesce' video) So, in this example data is created within spark environment.
Hope, my understanding is right!

itsallinyourhead
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Hi Raja, do you conduct classes/training(dedicated or general) if yes, could you let me know how to contact you!

indra
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God level explanation please bring project as well and i had requester for how to handle interview managerial round. Please bring that plz

prabhatgupta
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Good Explanation Raja,

Can u please give a little idea if data is not distributed uniformly ?
Do we need to do partitionBy

It could be more helpful if u make video on it...

abhishekp
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Awesome Raja... Please make video how to handle data skewness..

datningole
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ThanQ for the videos and I used to refer your videos first for all of my doubts

gunasekar_vs