PySpark SQL rank() Function: Ranking Rows within a Window
In this video, we explore the PySpark SQL rank() function and show you how to rank rows within a window based on column values. The rank() function is perfect for assigning ranks in scenarios like employee salaries, sales figures, or other performance metrics. You’ll learn how to rank your data efficiently, handle ties, and apply window functions to create custom partitions and rankings in your DataFrames.
Topics Covered:
Introduction to the rank() function
Using window functions for partitioning
Handling ties in rankings
Practical examples of ranking data within a window
By the end of this tutorial, you'll have a solid understanding of how to apply the rank() function for ranking rows in PySpark.
Hashtags:
#PySpark #DataRanking #WindowFunctions #DataAnalysis #BigData #DataEngineering #PythonDataScience #rankFunction #PySparkTutorial #DataProcessing