January 2019
Beginner to intermediate
154 pages
4h 31m
English
Content preview from Apache Spark Quick Start Guide
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Spark SQL
In our previous chapter, we learned about DataFrames and datasets and how we can use or write custom encoders to have type-safe operations on datasets. This chapter explains the SQL component of Spark, which helps developers working on Hive or familiar with RDBMS SQL to use a similar style in Spark.
We will be covering the following topics in this chapter:
- Spark metastore
- SQL language manual
- SQL database using Java Database Connectivity (JDBC)
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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.