PySpark pivot() function is used to rotate/transpose the data from one column into multiple Dataframe columns and back using unpivot(). Pivot() It is an aggregation where one of the grouping…
Similar to SQL GROUP BY clause, PySpark groupBy() function is used to collect the identical data into groups on DataFrame and perform count, sum, avg, min, max functions on the…
Similar to SQL "GROUP BY" clause, Spark groupBy() function is used to collect the identical data into groups on DataFrame/Dataset and perform aggregate functions on the grouped data. In this…
This article describes and provides scala example on how to Pivot Spark DataFrame ( creating Pivot tables ) and Unpivot back. Pivoting is used to rotate the data from one column into multiple columns. It is an aggregation where one of the grouping columns values transposed into individual columns with distinct data.