Скачать или смотреть PySpark SQL row_number() Function: Assigning Unique Row Numbers

In this video, we dive into the PySpark SQL row_number() function, which helps you assign unique row numbers to rows within a partitioned dataset. This function is useful when you need to create sequential row numbers based on specific criteria, such as ordering by salary or date. We’ll walk through practical examples to show you how to partition and order your data while using row_number() to assign distinct row numbers for each entry. By the end of this video, you'll understand how to leverage row_number() for tasks like ranking, deduplication, and data analysis in PySpark.

Topics Covered:

Introduction to the row_number() function
Partitioning and ordering data
Practical examples using PySpark
Use cases for ranking and deduplication
Hashtags:

#PySpark #BigData #DataEngineering #DataAnalysis #PySparkTutorial #DataScience #SQLFunctions #RowNumber #Python #DataProcessing