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Explain the architecture of Spark Streaming

Spark/Big Datahard2.6 min readPremium
Frequency
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Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Meesho
Key Concepts Tested
optimizationpartitionspark
Expert AnswerPremium
517 wordsIncludes code examplesInterview-ready
**Section 1 — The Context (The 'Why')** Spark Streaming uses micro-batches. Exactly-once requires checkpoint + idempotent sink. DStreams deprecated. A naive pipeline checkpoints to local disk and uses non-idempotent sink. **Section 2 — The Diagram** ``` [Kafka | Kinesis] --> [Receiver] | v [Micro-batch RDD] Trigger | Checkpoint | v [Sink: Delta | DB] ``` **Section 3 — Component Logic** **Receiver** fetches data. **Micro-batch** at trigger intervals....
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