40. UDF(user defined function) in PySpark | Azure Databricks #spark #pyspark #azuresynapse #azure

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In this video, I discussed about UDF(user defined functions) in pyspark which helps to register python functions in pyspark so that we can reuse.

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Thanks Maheer .. Excellent Vedio.
Very Good Explanation.

polakigowtam
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also can u do videos on broad cast variable and broadcast joins, coalensce and repartititon, cache and parsist, accumulators

tadojuvishwa
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Hi,
After running SQL command, we get the result but can we get is as a spark dataframe in a variable?

hussamcheema
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Hi,
what is the scope of the UDF, like it is restricted to one session only or can be used in multiple sessions once registered.

mdashfaqueali
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SIR JI PAYMENT IS SO MIDDLE CLASS....REMUNERATION BOLO :P

varunsingh
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Hi, Do I need python knowledge to learn pyspark??

excelwithsunil
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You are dong a great job. Please keep p the good work. I have done all your modules in a hands on manner

jerryyang
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Hi Maheer.. I have been following your pyspark videos from a while. The content is very good. Thank you for making such videos.

I have a doubt in udf :
Why do we need to create a user defined function? Why can't we simply create normal python functions (using def ) and use them in df.select or df.withColumn ? I was also able to register this normal python function( using def) in spark.udf.register() and use in sql statements as well. Can you explain what is the main difference between normal python function and spark udf ?

nagatrivikramreddy
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Hi bhaii.. I was mailed you.... Would you please replay on

manu