I have a question with respect to the KafkaStreams API. I noticed during my prototyping work that my KafkaStreams application was not able to keep up with the input on the stream so I dug into it a bit and found that it was spending an inordinate amount of time in org.apache.kafka.common.network.Seloctor.select(). Not exactly a shooting gun itself, so I dropped the implementation down to a single processor reading off a source.
public class TestProcessor extends AbstractProcessor<String, String> { static long start = -1; static long count = 0; @Override public void process(String key, String value) { if (start < 0) { start = System.currentTimeMillis(); } count += 1; if (count > 1000000) { long end = System.currentTimeMillis(); double time = (end-start)/1000.0; System.out.printf("Processed %d records in %f seconds (%f records/s)\n", count, time, count/time); start = -1; count = 0; } } } ... TopologyBuilder topologyBuilder = new TopologyBuilder(); topologyBuilder .addSource("SOURCE", stringDeserializer, StringDeserializer, "input") .addProcessor("PROCESS", TestProcessor::new, "SOURCE"); Which I then ran through the KafkaStreams API, and then repeated with the KafkaConsumer API. Using the KafkaConsumer API: Processed 1000001 records in 1.790000 seconds (558659.776536 records/s) Processed 1000001 records in 1.229000 seconds (813670.463792 records/s) Processed 1000001 records in 1.106000 seconds (904160.036166 records/s) Processed 1000001 records in 1.190000 seconds (840336.974790 records/s) Using the KafkaStreams API: Processed 1000001 records in 6.407000 seconds (156079.444358 records/s) Processed 1000001 records in 5.256000 seconds (190258.942161 records/s) Processed 1000001 records in 5.141000 seconds (194514.880373 records/s) Processed 1000001 records in 5.111000 seconds (195656.622970 records/s) The profile on the KafkaStreams consisted of: 89.2% org.apache.kafka.common.network.Selector.select() 7.6% org.apache.kafka.clients.producer.internals.ProduceRequestResult.await() 0.8% org.apach.kafka.common.network.PlaintextTransportLayer.read() Is a 5X performance difference between Kafka Consumer and the KafkaStreams api expected? Are there specific things I can do to diagnose/tune the system? Thanks, Caleb