Hangleton commented on code in PR #13177: URL: https://github.com/apache/kafka/pull/13177#discussion_r1094530705
########## jmh-benchmarks/src/main/java/org/apache/kafka/jmh/common/metrics/SensorBenchmark.java: ########## @@ -0,0 +1,145 @@ +package org.apache.kafka.jmh.common.metrics; + +import org.apache.kafka.common.metrics.Metrics; +import org.apache.kafka.common.metrics.Sensor; +import org.apache.kafka.common.metrics.stats.Avg; +import org.apache.kafka.common.metrics.stats.Max; +import org.apache.kafka.common.metrics.stats.Min; +import org.openjdk.jmh.annotations.Benchmark; +import org.openjdk.jmh.annotations.BenchmarkMode; +import org.openjdk.jmh.annotations.Fork; +import org.openjdk.jmh.annotations.Measurement; +import org.openjdk.jmh.annotations.Mode; +import org.openjdk.jmh.annotations.OutputTimeUnit; +import org.openjdk.jmh.annotations.Param; +import org.openjdk.jmh.annotations.Scope; +import org.openjdk.jmh.annotations.Setup; +import org.openjdk.jmh.annotations.State; +import org.openjdk.jmh.annotations.Warmup; + +import java.util.ArrayList; +import java.util.List; +import java.util.concurrent.TimeUnit; + +@State(Scope.Benchmark) +@Fork(value = 1) +@Warmup(iterations = 5) +@Measurement(iterations = 5) Review Comment: Is the number of warm-up and iterations really enough? 5 may be a bit low for the code path exercised. Unsure how representative the benchmark is for high-throughput invocations in production environments. ########## jmh-benchmarks/src/main/java/org/apache/kafka/jmh/common/metrics/SensorBenchmark.java: ########## @@ -0,0 +1,145 @@ +package org.apache.kafka.jmh.common.metrics; + +import org.apache.kafka.common.metrics.Metrics; +import org.apache.kafka.common.metrics.Sensor; +import org.apache.kafka.common.metrics.stats.Avg; +import org.apache.kafka.common.metrics.stats.Max; +import org.apache.kafka.common.metrics.stats.Min; +import org.openjdk.jmh.annotations.Benchmark; +import org.openjdk.jmh.annotations.BenchmarkMode; +import org.openjdk.jmh.annotations.Fork; +import org.openjdk.jmh.annotations.Measurement; +import org.openjdk.jmh.annotations.Mode; +import org.openjdk.jmh.annotations.OutputTimeUnit; +import org.openjdk.jmh.annotations.Param; +import org.openjdk.jmh.annotations.Scope; +import org.openjdk.jmh.annotations.Setup; +import org.openjdk.jmh.annotations.State; +import org.openjdk.jmh.annotations.Warmup; + +import java.util.ArrayList; +import java.util.List; +import java.util.concurrent.TimeUnit; + +@State(Scope.Benchmark) +@Fork(value = 1) +@Warmup(iterations = 5) +@Measurement(iterations = 5) +@BenchmarkMode(Mode.AverageTime) Review Comment: What is the variance of the distribution? `SampleTime` may be useful to review the resulting percentiles. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: jira-unsubscr...@kafka.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org