Abstract
In this chapter, we will look into various Spark SQL recipes that come in handy when you have to apply SQL-like queries to the data. One of the specialties of Apache Spark is the way in which it lets the user apply data-wrangling methods in a programmatic manner and as ANSI SQL-like methods. For readers who are from pure SQL backgrounds, with a little exposure to programmatic data manipulation, these SQLs are one stop shop. Almost all of the Spark programmatic APIs can be applied to data using Spark SQLs. Also these SQLs are in ANSI standard, which enables anyone currently on SQL technologies to readily start working on Apache Spark-based Big Data projects.
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© 2019 Raju Kumar Mishra and Sundar Rajan Raman
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Mishra, R.K., Raman, S.R. (2019). SQL, NoSQL, and PySparkSQL. In: PySpark SQL Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4335-0_6
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DOI: https://doi.org/10.1007/978-1-4842-4335-0_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4334-3
Online ISBN: 978-1-4842-4335-0
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