Skip to main content
DatabricksPySparkSnowflakeApache Airflow
Code Keys/PySpark Academy/Module 22/Lesson 171
PYSPARK • LESSON 171

Freeing Cluster Memory with unpersist()

How do we explicitly release cached DataFrame partitions from cluster memory after processing is finished?

Expert⏱ 2 Minutes⭐ 930 XP
🤔 THE QUESTION

How do we explicitly release cached DataFrame partitions from cluster memory after processing is finished?

💡 WHAT IS IT?

unpersist() removes cached partitions from memory and disk across all cluster executors immediately.

🎯 WHAT IS IT USED FOR?

Preventing memory leaks, reducing GC pauses, and freeing RAM for downstream pipeline steps.

💻 EXAMPLE
df.unpersist()

🎯 Mission Objectives

Practice typing production-grade PySpark code for Freeing Cluster Memory with unpersist().

  • ✓ Call unpersist() method
  • ✓ Release cached executor memory
  • ✓ Maintain optimal cluster memory health
🚀 Start Mission
← Prev (Storage Level Tuning with persist())Next Lesson (Reshuffling Partitions with repartition()) →