4.5 Spark vectorized UDF | Pandas UDF | Spark Tutorial

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As part of our spark Interview question Series, we want to help you prepare for your spark interviews.
We will discuss various topics about spark like Lineage, reduceby vs group by, yarn client mode vs yarn cluster mode etc.
As part of this video we are Learning
How we can create optimized udf in spark.
How can we use pandas udf
pandas udf is new feature in spark.
pandas udf is a vectorized udf

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Комментарии
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Hi,
This is kinda off topic, but can you tell me if vectorized query execution is enabled by default with parquet file format in Spark 2.x? If not, how do we enable it?

hugens
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Hi there, thanks for the amazing video,
which one should I choose between scala udf and pandas udf, is there going to be a drastic speedup when using scala udf instead of pandas udf?

rahulbhatia
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Can we provide how many number of rows to be used in one batch?

AnkitaMishra-diub
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Hi, nice tutorial, but Har do see. Especially on the phone. Half of your screen is white and the text is too small to see

Gregorysharkov
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sorry to ask a silly question, but I am new in spark world.
What is spark means in spark.udf.register command. As I am getting below error while using it in cloudera hue

Traceback (most recent call last): NameError: name 'spark' is not defined

pankajkhilchipur
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Nice Video! One question: Are UDFs in Spark parallel computation or driver will have all load?

smitshah
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Hi Thanks for the help. How can we write data to different files from a single RDD based on some condition.(like RDD having rows, then i need new file having same first character in the row)
I did this using DF but need using core spark

phanikumar