[Solved] Why does increasing max.poll.records beyond a certain point sometimes reduce consumer throughput? — Ans: Because processing large batches increases poll processing time, causing... | Kafka

Kafka - Performance Tuning

Why does increasing max.poll.records beyond a certain point sometimes reduce consumer throughput?

ABecause processing large batches increases poll processing time, causing session timeouts.

BBecause Kafka brokers limit max.poll.records to 500 by default.

CBecause increasing max.poll.records reduces fetch.max.bytes automatically.

DBecause consumers stop committing offsets when max.poll.records is too high.

Step-by-Step Solution

Solution:

Step 1: Understand max.poll.records impact on processing
Higher max.poll.records means more records per poll, increasing processing time per batch.
Step 2: Effect on consumer session and throughput
Long processing can delay next poll, causing session timeouts and rebalances, reducing throughput.
Final Answer:
Because processing large batches increases poll processing time, causing session timeouts. -> Option A
Quick Check:
Too large max.poll.records can cause session timeout [OK]

Quick Trick: Too many records per poll can cause session timeout [OK]

Common Mistakes:

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