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Kafka Partitioning: How would you ensure even load distribution across Kafka partitions in a high-volume system?

SQLmedium0.5 min readPremium
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Asked at 1 company
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487
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1,863
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Asked at these companies
BCG
Key Concepts Tested
partition
Expert AnswerPremium
108 wordsInterview-ready
Even Kafka partition distribution: (1) Use meaningful keys—hash(key) % num_partitions; avoid hot keys (e.g., few keys dominate). (2) Use composite keys—e.g., customer_id + timestamp. (3) Add random component for high-cardinality keys. (4) Monitor partition lag and rebalance. (5) Increase partitions if needed (creates new partitions, doesn't rebalance existing data). (6) Use custom partitioner when default hash is skewed. (7) Consider key salting for hot partitions....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like BCG. The answer also includes follow-up discussion points that interviewers commonly explore.

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