Abstract
In this chapter, we look at various Spark SQL recipes that optimize SQL queries. Apache Spark is an open source framework that is developed with Big Data volumes in mind. It is supposed to handle huge volumes of data. It is supposed to be used in scenarios where there is a need for horizontal scaling for processing power. Before we cover the optimization techniques used in Apache Spark, you need to understand basics of horizontal scaling and vertical scaling.
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© 2019 Raju Kumar Mishra and Sundar Rajan Raman
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Mishra, R.K., Raman, S.R. (2019). Optimizing PySpark SQL. In: PySpark SQL Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4335-0_7
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DOI: https://doi.org/10.1007/978-1-4842-4335-0_7
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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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