July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Reading a data file and deriving DataFrame out of it
The Spark API for https://spark.apache.org/docs/2.2.1/api/scala/index.html#org.apache.spark.sql.Dataset has it that a DataFrame is Dataset[Row] and that Dataset contains a view called DataFrame. Falling back to the description of Dataset in the Spark documentation, we can redefine Dataset as a Spark abstraction of distributed collections holding data items. That said, Dataset[Row] contains rows. Row could be an abstraction representing a row from the raw file dataset.
We need to read the iris.csv file and transform it into DataFrame. That is the stated goal of this subsection and that is exactly what we shall accomplish very soon.
With all this in mind, lets get down to building DataFrame ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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