Persistence Levels in Spark

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What are the various Persistence Levels in Spark?
Jun 8, 2018 in Apache Spark by Data_Nerd
 • 2,390 points • 6,028 views

1 answer to this question.

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Spark has various persistence levels to store the RDDs on disk or in memory or as a combination of both with different replication levels namely:

  • MEMORY_ONLY
  • MEMORY_ONLY_SER
  • MEMORY_AND_DISK
  • MEMORY_AND_DISK_SER, DISK_ONLY
  • OFF_HEAP
answered Jun 8, 2018 by kurt_cobain
 • 9,350 points

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