You notice your Kafka producer throughput is low despite setting a large batch.size. Which of these could be a cause?

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Kafka - Performance Tuning

You notice your Kafka producer throughput is low despite setting a large batch.size. Which of these could be a cause?

Aacks is set to 0, causing slow acknowledgments

Blinger.ms is set to 0, causing immediate sends

Ccompression.type is set to none, causing CPU overload

Dbuffer.memory is set too high, causing memory errors

Step-by-Step Solution

Solution:

Step 1: Analyze linger.ms impact on batching
If linger.ms is 0, producer sends batches immediately, preventing batch size from filling and reducing throughput.
Step 2: Evaluate other options
acks=0 reduces acknowledgment wait, compression.type=none reduces CPU, and high buffer.memory usually doesn't cause errors immediately.
Final Answer:
linger.ms is set to 0, causing immediate sends -> Option B
Quick Check:
linger.ms=0 limits batch size, lowers throughput [OK]

Quick Trick: linger.ms=0 stops batching, lowers throughput [OK]

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