[Solved] Given this Kafka producer configuration snippet:props.put("batch.size", 32768); props.put("linger.ms", 50); props.put("compression.type", "gzip");What is the expected effect on producer throughput? | Kafka

Kafka - Performance Tuning

Given this Kafka producer configuration snippet:

props.put("batch.size", 32768);
props.put("linger.ms", 50);
props.put("compression.type", "gzip");

What is the expected effect on producer throughput?

ANo change in throughput because batch.size is too small

BLower throughput due to increased linger time

CHigher throughput due to larger batches and compression

DThroughput decreases because gzip compression is slow

Step-by-Step Solution

Solution:

Step 1: Analyze batch.size and linger.ms
A batch size of 32768 bytes and linger.ms of 50ms allow larger batches and slight delay to accumulate messages, improving throughput.
Step 2: Consider compression.type effect
Using gzip compression reduces data size sent, improving network efficiency and throughput despite some CPU cost.
Final Answer:
Higher throughput due to larger batches and compression -> Option C
Quick Check:
Batch size + linger + compression = higher throughput [OK]

Quick Trick: Larger batch + linger + compression = better throughput [OK]

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