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Colin Surprenant 1716c5d501 maximize PQ read bach size by using same read timeout semantic as MQ #8702 
add from another LongVector

use timedout read batch and added test for maximization

WIP maximized batch read size

fixes and cleanups

cleanups

use the await returned boolean to assess timeout

remove useless constant

use Callable<Void> and cosmetic fix
2017-12-05 13:45:35 -05:00
..
src/main maximize PQ read bach size by using same read timeout semantic as MQ #8702 2017-12-05 13:45:35 -05:00
build.gradle #7998 Serialization benchmark and Afterburner removal 2017-08-16 16:08:09 +00:00
Readme.md Added JMH Benchmark Suite + Queue Benchmark 2017-05-18 06:31:17 +00:00

Readme.md

Logstash Microbenchmark Suite

This directory contains the microbenchmark suite of Logstash. It relies on JMH.

Getting Started

Just run ./gradlew jmh from the project root directory. It will build all microbenchmarks, execute them and print the result.

Example Output

➜  logstash: ./gradlew jmh
# JMH 1.18 (released 66 days ago)
# VM version: JDK 1.8.0_121, VM 25.121-b13
# VM invoker: /Library/Java/JavaVirtualMachines/jdk1.8.0_121.jdk/Contents/Home/jre/bin/java
# VM options: -Dfile.encoding=US-ASCII -Duser.country=US -Duser.language=en -Duser.variant
# Warmup: 3 iterations, 100 ms each
# Measurement: 10 iterations, 100 ms each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Throughput, ops/time
# Benchmark: org.logstash.benchmark.QueueBenchmark.pushToPersistedQueue

# Run progress: 0.00% complete, ETA 00:00:01
# Fork: 1 of 1
# Warmup Iteration   1: 249.325 ops/ms
# Warmup Iteration   2: 290.150 ops/ms
# Warmup Iteration   3: 293.669 ops/ms
Iteration   1: 315.075 ops/ms
Iteration   2: 282.020 ops/ms
Iteration   3: 317.281 ops/ms
Iteration   4: 296.559 ops/ms
Iteration   5: 302.803 ops/ms
Iteration   6: 305.187 ops/ms
Iteration   7: 320.959 ops/ms
Iteration   8: 304.073 ops/ms
Iteration   9: 297.499 ops/ms
Iteration  10: 301.889 ops/ms


Result "org.logstash.benchmark.QueueBenchmark.pushToPersistedQueue":
  304.334 ?(99.9%) 17.264 ops/ms [Average]
  (min, avg, max) = (282.020, 304.334, 320.959), stdev = 11.419
  CI (99.9%): [287.070, 321.599] (assumes normal distribution)


# Run complete. Total time: 00:00:22

Benchmark                             Mode  Cnt    Score    Error   Units
QueueBenchmark.pushToPersistedQueue  thrpt   10  304.334 ? 17.264  ops/ms

More

Additional information on JMH can be found in the Elasticsearch project's benchmark documentation.