One common task when working with large datasets is the need to generate unique identifiers for each record. In this tutorial, we will explore how to easily add an ID column to a PySpark DataFrame. In order to do this, we use the monotonically_increasing_id() function of PySpark.

Why Generate an ID Column?

Generating an ID column is crucial for various data processing tasks, such as merging datasets, sorting, and partitioning. It ensures that each record has a unique identifier, making it easier to track and manage data. PySpark provides a straightforward way to achieve this without compromising performance in large-scale distributed computing environments.

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