Spark map() vs flatMap() with Examples

What is the difference between Spark map() vs flatMap() is a most asked interview question, if you are taking an interview on Spark (Java/Scala/PySpark), so let's understand the differences with examples? Regardless of an interview, you have to know the differences as this is also one of the most used…

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Usage of Spark flatMap() Transformation

Spark flatMap() transformation flattens the RDD/DataFrame column after applying the function on every element and returns a new RDD/DataFrame respectively. The returned RDD/DataFrame can have the same count or more number of elements. This is one of the major differences between flatMap() and map(), where map() transformation always returns the…

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PySpark flatMap() Transformation

PySpark flatMap() is a transformation operation that flattens the RDD/DataFrame (array/map DataFrame columns) after applying the function on every element and returns a new PySpark RDD/DataFrame. In this article, you will learn the syntax and usage of the PySpark flatMap() with an example. First, let's create an RDD from the…

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