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