This post explains how to create DataFrames with ArrayType columns and how to perform common data processing operations. Array columns are one of the most useful column types, but they’re […]

This post explains how to define PySpark schemas and when this design pattern is useful. It’ll also explain when defining schemas seems wise, but can actually be safely avoided. Schemas […]

This post explains how to add constant columns to PySpark DataFrames with lit and typedLit. You’ll see examples where these functions are useful and when these functions are invoked implicitly. […]

This blog post shows you how to gracefully handle null in PySpark and how to avoid null input errors. Mismanaging the null case is a common source of errors and […]

This post explains how to create a SparkSession with getOrCreate and how to reuse the SparkSession with getActiveSession. You need a SparkSession to read data stored in files, when manually […]