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An Introduction to Higher Order Functions in Spark SQL with Herman van Hovell (Databricks)

3,587 views · Published 11 October 2018 · 29:20 · Indexed 24 October 2026

Channel: Databricks · 2018 · Science & Technology

Nested data types offer Apache Spark users powerful ways to manipulate structured data. In particular, they allow you to put complex objects like arrays, maps and structures inside of columns. This can help you model your data in a more natural way.

While this feature is certainly useful, it can quite bit cumbersome to manipulate data inside of complex objects because SQL (and Spark) do not have primitives for working with such data. In addition, it is time-consuming, non-performant, and non-trivial. During this talk we will discuss some of the commonly used techniques for working with complex objects, and we will introduce new ones based on Higher-order functions. Higher-order functions will be part of Spark 2.4 and are a simple and performant extension to SQL that allow a user to manipulate complex data such as arrays.

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An Introduction to Higher Order Functions in Spark SQL with Herman van Hovell (Databricks)

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