PySpark provides map(), mapPartitions() to loop/iterate through rows in RDD/DataFrame to perform the complex transformations, and these two returns the same number of records as in the original DataFrame but…
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…
Spark map() is a transformation operation that is used to apply the transformation on every element of RDD, DataFrame, and Dataset and finally returns a new RDD/Dataset respectively. In this…
PySpark map (map()) is an RDD transformation that is used to apply the transformation function (lambda) on every element of RDD/DataFrame and returns a new RDD. In this article, you…