Optimizing PySpark SQL

Autor:	Sundar Rajan Raman, Raju Kumar Mishra
Rok vydání:	2019
Předmět:	SQL Cover (telecommunications) Database business.industry Computer science Big data computer.software_genre Power (physics) Open source Spark (mathematics) Vertical scaling business computer Scaling computer.programming_language
Zdroj:	PySpark SQL Recipes ISBN: 9781484243343
DOI:	10.1007/978-1-4842-4335-0_7
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c4ef2ec32060b8b13ac947c9d394d1ec https://doi.org/10.1007/978-1-4842-4335-0_7 Zobrazit plný text záznamu