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What are the key components of the Spark execution model (Job, Stage, Task)?

Spark/Big Datahard0.7 min readPremium
Frequency
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Asked at 2 companies
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
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1,863
across 7 categories
Asked at these companies
FedEx DataworksFreight Tiger
Key Concepts Tested
joinoptimizationpartitionspark
Expert AnswerPremium
147 wordsInterview-ready
**Job**: Triggered by one action (count, write, collect); one job per action. **Stage**: Boundary at shuffle; narrow transformations (map, filter) pipeline into one stage; wide (join, groupBy, distinct) trigger stage boundaries. **Task**: One task per partition per stage; unit of work on an executor. Flow: Action → Job → DAG Scheduler (plans stages) → Task Scheduler (schedules tasks to executors)....
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