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Home/Questions/Spark/Big Data/Compare Spark's lineage recovery with Hadoop's block replication mechanism.

Compare Spark's lineage recovery with Hadoop's block replication mechanism.

Spark/Big Datamedium0.5 min readPremium
Frequency
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Asked at 1 company
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questions in Spark/Big Data
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88E|81M|283H
in this category
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1,863
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Asked at these companies
Impetus
Key Concepts Tested
partitionspark
Expert AnswerPremium
92 wordsInterview-ready
**Why this matters**: Different fault-tolerance philosophies—compute vs storage. **Spark**: Lineage-based recovery. Lost partition = recompute from RDD lineage (transformations). No data replication; trades storage for compute. **Hadoop**: Block replication (default 3x). Data-centric; node failure = read from replica. **Scalability trade-offs**: Spark = less storage, more recompute on failure; Hadoop = more storage, fast recovery. Long lineage = slow recovery; checkpoint truncates....
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