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What happens when an executor fails during a task execution?

Spark/Big Dataeasy0.4 min readPremium
Frequency
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Asked at 1 company
Category
452
questions in Spark/Big Data
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88E|81M|283H
in this category
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1,863
across 7 categories
Asked at these companies
PWC
Key Concepts Tested
spark
Expert AnswerPremium
82 wordsInterview-ready
**Sequence**: (1) Spark marks executor lost. (2) Tasks on that executor rescheduled on others. (3) Cached RDD blocks recomputed (or from replicas). (4) Shuffle outputs from parent stage recomputed if needed. (5) After spark.task.maxFailures retries, job fails. **Why Resilient**: RDD lineage enables recomputation. Shuffle is deterministic. No single point of failure for data. **Scalability Trade-offs**: Recompute adds time....
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