How do we define a Window specification partitioned by department and ordered by descending salary?
Window.partitionBy().orderBy() creates a WindowSpec defining the grouping and row ordering for analytical calculations.
Ranking, cumulative sums, moving averages, and lead/lag calculations without collapsing rows.
from pyspark.sql.window import Window
from pyspark.sql.functions import col
windowSpec = Window.partitionBy("department_id").orderBy(col("salary").desc())Practice typing production-grade PySpark code for Window Specification Foundations.