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Data & Analytics · Intermediate

Resilient Distributed Dataset (RDD)

Spark's low-level, immutable, partitioned collection of objects that can be rebuilt from lineage after a failure.

Definition

RDDs provide fault tolerance through lineage (the recorded transformations) instead of replication. They lack schema-aware optimization, so modern code uses DataFrames.

Exam tip

'Resilient' means an RDD can be recomputed from lineage if a partition is lost.

Related terms