In Spark, find/select maximum (max) row per group can be calculated using window partitionBy() function and running row_number() function over window partition, let's see with a DataFrame example. 1. Prepare…
In PySpark select/find the first row of each group within a DataFrame can be get by grouping the data using window partitionBy() function and running row_number() function over window partition.…
The row_number() is a window function in Spark SQL that assigns a row number (sequential integer number) to each row in the result DataFrame. This function is used with Window.partitionBy() which partitions…
In this Spark article, I've explained how to select/get the first row, min (minimum), max (maximum) of each group in DataFrame using Spark SQL window functions and Scala example. Though…