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An Introduction to Spark

Columns

Explore how to work with individual columns in Spark DataFrames including accessing, creating new columns with expressions, and sorting data efficiently. Understand the use of the col() method and withColumn() for manipulating structured data for big data projects.

We'll cover the following...

Spark allows us to manipulate individual DataFrame columns using relational or computational expressions. Conceptually, columns represent a type of field and are similar to columns in pandas, R DataFrames, or relational tables. Columns are represented by the type Column in Spark’s supported languages. Let’s see some examples of working with columns next.

Listing all columns

We’ll assume we ...