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What are the different levels of persistence in Spark?

Question Posted / mohd imran


What are the different levels of persistence in Spark?..

Answer / Dharmveer Singh Saini

Spark offers three levels of data persistence: Memory (RDD.cache() and RDD.count()), Disk (RDD.persist() without memory or disk parameter), and Checkpointing (configuring the checkpoint directory for resilient distributed datasets).

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