In Spark, 'persist' and 'cache' are methods used to ret

What is the difference between persist

Question Posted / Akansha Singh

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Answer Posted / Akansha Singh

In Spark, 'persist' and 'cache' are methods used to retain RDDs in memory for reuse. The main difference lies in the level of persistence: 'cache' stores RDDs using the default storage level, while 'persist' allows specifying a custom storage level (such as MEMORY_ONLY, MEMORY_AND_DISK, or DISK_ONLY).

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