Скачать или смотреть How to Use persist() Function in PySpark | PySpark Cache vs Persist Explained with Examples

Learn how to use the persist() function in PySpark to optimize your Spark applications. In this tutorial, we break down the difference between persist() and cache(), show when to use each, and provide hands-on examples with real Spark DataFrames.

🔍 What You’ll Learn:

What is the persist() function in PySpark?
Difference between cache() and persist()
Various storage levels in PySpark (MEMORY_ONLY, MEMORY_AND_DISK, etc.)
Best practices for performance tuning
When and why to persist data in Spark workflows
Whether you're a beginner or a data engineering pro, this tutorial gives you the tools to take control of Spark memory management.

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