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…
In Spark foreachPartition() is used when you have a heavy initialization (like database connection) and wanted to initialize once per partition where as foreach() is used to apply a function…
In Spark, foreach() is an action operation that is available in RDD, DataFrame, and Dataset to iterate/loop over each element in the dataset, It is similar to for with advance…