Cache vs Persist in PySpark | Spark Optimization Explained in Tamil
Автор: vijaquick
Загружено: 2025-09-07
Просмотров: 100
Описание:
In this video, I have explained the difference between Cache and Persist in PySpark with clear real-time examples.
You will learn:
What is caching in PySpark?
What is persist in PySpark?
Different storage levels in persist (MEMORY_ONLY, MEMORY_AND_DISK, etc.)
When to use cache vs persist
Performance benefits with cache/persist in Spark
Demo with PySpark DataFrame
This video is part of the PySpark Optimization Playlist, designed to help Data Engineers improve query performance.
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