February 2016
Beginner to intermediate
326 pages
7h 46m
English
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Coding our first Spark SQL job
In this section, we will discuss the basics of writing/coding Spark SQL jobs in Scala and Java. Spark SQL exposes the rich DataFrame API (http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.DataFrame) for loading and analyzing datasets in various forms. It not only provides operations for loading/analyzing data from structured formats such as Hive, Parquet, and RDBMS, but also provides flexibility to load data from semistructured formats such as JSON and CSV. In addition to the various explicit operations exposed by the DataFrame API, it also facilitates the execution of SQL queries against the data loaded in the Spark.
Let's move ahead and code our first Spark SQL job in Scala and then we ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.