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Implementing efficient Spark application with the goal of having maximal performance often requires knowledge that goes beyond official documentation. Understanding Spark’s internal processes and features may help to design the queries in alignment with internal optimizations and thus achieve high efficiency during execution. In this talk we will focus on some internal features of Spark SQL which are not well described in official documentation with a strong emphasis on explaining these features on some basic examples while sharing some performance tips along the way. We want to demystify Spark’s behavior in various situations where the documentation does not provide sufficient explanation. The content is based mostly on the knowledge gathered from studying Spark source code and on our experience from our daily data processing. We will talk about topics and pitfalls that we encountered and solved either in our real-life queries or when helping the community by answering questions on stackoverflow. The talk is intended for anyone who wants to learn how Spark SQL works under the hood and how to use that knowledge to achieve better performance of Spark queries. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unifie... See all the previous Summit sessions: Connect with us: Website: https://databricks.com Facebook: / databricksinc Twitter: / databricks LinkedIn: / databricks Instagram: / databricksinc Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...