Kafka - Performance Tuning
For a Kafka topic designed to support a large number of consumers with minimal message lag, which partition count approach is most effective?
For a Kafka topic designed to support a large number of consumers with minimal message lag, which partition count approach is most effective?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand consumer parallelism
Each partition can be consumed by only one consumer in a group at a time.Step 2: Match partitions to consumers
Having partitions equal or greater than consumers allows all consumers to work in parallel without idle time.Final Answer:
Increase partitions to match or exceed the number of consumers -> Option AQuick Check:
Partitions enable parallel consumer scaling [OK]
Quick Trick: Partitions >= consumers for max parallelism [OK]
Common Mistakes:
MISTAKES- Thinking fewer partitions reduce lag
- Confusing replication factor with partition count
- Using single partition limits consumer parallelism
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