June 2020
Intermediate to advanced
576 pages
15h 41m
English
Content preview from Spark in Action, Second Edition
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11. Working with SQL
This chapter covers
- Using SQL within Spark
- Determining the local or global scope of your views
- Mixing both the dataframe API and SQL
- Deleting records in a dataframe
Structured Query Language ( SQL ) is the golden standard for manipulating data. Introduced in 1974, it has since evolved to become an ISO standard (ISO/IEC 9075). The latest revision is SQL:2016.
It seems that SQL has been around forever as a way to extract and manipulate data in relational databases. And SQL will be around forever. When I was in college, I clearly remember asking my database professor, “Who do you expect will use SQL? A secretary making a report?” His answer was simply, “Yes.” (Based on that answer, I might just figure that you are a secretary ...
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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.