You want to optimize Kafka producer throughput for large messages. Which combination of settings is best?

hard📝 Application Q8 of 15

Kafka - Performance Tuning

ADecrease buffer.memory, set batch.size to 1, linger.ms to 0

BDisable buffering by setting buffer.memory to 0

CSet buffer.memory to default, batch.size very small, linger.ms very large

DIncrease buffer.memory and batch.size, set linger.ms to a small positive value

Step-by-Step Solution

Solution:

Step 1: Consider large message handling
Large messages benefit from larger buffer.memory and batch.size to reduce overhead.
Step 2: Use linger.ms to allow batching
A small positive linger.ms allows more messages to batch before sending, improving throughput.
Final Answer:
Increase buffer.memory and batch.size, set linger.ms to a small positive value -> Option D
Quick Check:
Large buffers and batching improve throughput [OK]

Quick Trick: Larger buffers and batch with small linger.ms boost throughput [OK]

Common Mistakes:

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