[Solved] To reduce consumer lag under heavy load, which combination of tuning is best? — Ans: Increase max.poll.records and decrease fetch.max.wait.ms | Kafka

Kafka - Performance Tuning

To reduce consumer lag under heavy load, which combination of tuning is best?

ADecrease <code>max.poll.records</code> and increase <code>fetch.max.wait.ms</code>

BDisable auto-commit and increase <code>fetch.min.bytes</code>

CSet <code>max.poll.records</code> to zero and <code>fetch.max.wait.ms</code> to high

DIncrease <code>max.poll.records</code> and decrease <code>fetch.max.wait.ms</code>

Step-by-Step Solution

Solution:

Step 1: Understand max.poll.records effect
Increasing max.poll.records lets consumer fetch more records per poll, reducing lag.
Step 2: Understand fetch.max.wait.ms effect
Decreasing fetch.max.wait.ms reduces wait time for data, speeding fetches.
Final Answer:
Increase max.poll.records and decrease fetch.max.wait.ms -> Option D
Quick Check:
Reduce lag by fetching more and waiting less = B [OK]

Quick Trick: Fetch more records faster to reduce lag [OK]

Common Mistakes:

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