Microbenchmarking with JMH - Portland 2023-03-14

Microbenchmarking with JMH
Portland Java User Group
March 14, 2023
Portland Oregon

Transcript

1. Microbenchmarking with JMH Sean Sullivan Portland Java User Group March 14, 2023
2. Java Microbenchmark Harness “JMH is a Java harness for building, running, and analysing nano/micro/milli/macro benchmarks written in Java and other languages targeting the JVM.”
3. OSS projects that use JMH • Netty • Log4j2 • Spring Framework • Apache Cassandra • Apache Kafka • Netflix Atlas • Netflix Spectator • Netflix Zuul
4. NOTE: JMH is not intended to be used in the same way as a typical testing library such as JUnit. Simply adding the jmh-core jar file to your build is not enough to be able to run benchmarks.
5. “the key to using JMH is enabling the annotation- or bytecode-processors to generate the synthetic benchmark code”
6. “Running benchmarks from the IDE is generally not recommended due to generally uncontrolled environment in which the benchmarks run.”
7. Zuul: HeadersBenchmark
8. Zuul: HeadersBenchmark
9. Zuul: HeadersBenchmark
10. Zuul: HeadersBenchmark
11. Zuul: build.gradle jmh-gradle-plugin
12. Zuul: HeadersBenchmark ./gradlew --no-daemon clean :zuul-core:jmh
13. Learning JMH
14. Learning JMH
15. Learning JMH
16. microbenchmarks-java • CompressionBenchmark • CounterBenchmark • HttpHeadersBenchmark • Log4j2ClockBenchmark • RandomBenchmark • UuidBenchmark
17. CompressionBenchmark • Goal: measure throughput of Gzip compression • Goal: measure throughput of Brotli compression • Goal: evaluate Brotli compression parameters
18. CompressionBenchmark public enum CompressionType • GZIP • BROTLI_0 • BROTLI_4 • BROTLI_11
19. CompressionBenchmark
20. CompressionBenchmark
21. CompressionBenchmark # JMH version: 1.36 # VM version: JDK 17.0.6, OpenJDK 64-Bit Server VM, 17.0.6+10-LTS # Warmup: 2 iterations, 10 s each # Measurement: 5 iterations, 10 s each # Threads: 1 thread, will synchronize iterations # Benchmark mode: Throughput, ops/time
22. CompressionBenchmark
23. The End