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Handling node failures

General/Othermedium0.2 min read

Reviewed by Aditya Kumar Ā· Last reviewed 2026-03-24

**Strategies**: (1) Replicationā€”data on multiple nodes; (2) Health checksā€”heartbeats, liveness; (3) Failoverā€”auto promotion (Kafka ISR, Spark); (4) Idempotencyā€”reprocessing = same result; (5) Checkpointingā€”resume from last. **Spark**: Driver failover; executor retry. Kafka:...

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Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
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1,863
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Key Concepts Tested
partitionspark
Expert Answer
41 words

Strategies: (1) Replicationā€”data on multiple nodes; (2) Health checksā€”heartbeats, liveness; (3) Failoverā€”auto promotion (Kafka ISR, Spark); (4) Idempotencyā€”reprocessing = same result; (5) Checkpointingā€”resume from last.

Spark: Driver failover; executor retry. Kafka: partition replication. Design for failure; chaos test; monitor failure rates.

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Pro Tip

Pro-Move: 'We run chaos tests monthly; documented runbook for each failure mode. Idempotent sinks so retries are safe.'

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