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…
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March 11, 2021
What is the difference between Spark map() vs flatMap() is a most asked interview question, if you are taking an…
Spark flatMap() transformation flattens the RDD/DataFrame column after applying the function on every element and returns a new RDD/DataFrame respectively.…
PySpark flatMap() is a transformation operation that flattens the RDD/DataFrame (array/map DataFrame columns) after applying the function on every element…
PySpark RDD Transformations are lazy evaluation and is used to transform/update from one RDD into another. When executed on RDD,…
RDD Transformations are Spark operations when executed on RDD, it results in a single or multiple new RDD's. Since RDD…