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…
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…
PySpark RDD Transformations are lazy evaluation and is used to transform/update from one RDD into another. When executed on RDD, it results in a single or multiple new RDD. Since…
RDD Transformations are Spark operations when executed on RDD, it results in a single or multiple new RDD's. Since RDD are immutable in nature, transformations always create new RDD without…
