Criterium measures the computation time of an expression. It is designed to address some of the pitfalls of benchmarking, and benchmarking on the JVM in particular.
This includes:
- statistical processing of multiple evaluations
- inclusion of a warm-up period, designed to allow the JIT compiler to optimise its code
- purging of gc before testing, to isolate timings from GC state prior to testing
- a final forced GC after testing to estimate impact of cleanup on the timing results
Add the following to your :dependencies:
[criterium "0.4.5"]<dependency>
<groupId>criterium</groupId>
<artifactId>criterium</artifactId>
<version>0.4.5</version>
</dependency>The top level interface is in criterium.core.
(use 'criterium.core)
Use bench to run a benchmark in a simple manner.
(bench (Thread/sleep 1000))
=>
Execution time mean : 1.000803 sec
Execution time std-deviation : 328.501853 us
Execution time lower quantile : 1.000068 sec ( 2.5%)
Execution time upper quantile : 1.001186 sec (97.5%)
By default bench is quiet about its progress. Run with-progress-reporting to
get progress information on *out*.
(with-progress-reporting (bench (Thread/sleep 1000) :verbose))
(with-progress-reporting (quick-bench (Thread/sleep 1000) :verbose))Lower level functions are available, that separate benchmark statistic generation and reporting.
(report-result (benchmark (Thread/sleep 1000) {:verbose true}))
(report-result (quick-benchmark (Thread/sleep 1000)))Note that results are returned to the user to prevent JIT from recognising that the results are not used.
Criterium will automatically estimate a time for its measurement
overhead. The estimate is normally made once per session, and is
available in the criterium.core/estimated-overhead-cache var.
If the estimation is made while there is a lot of other processing
going on, then benchmarking quick functions may report small negative
times. You can force a recalculation of the overhead by calling
criterium.core/estimated-overhead!.
If you want consistency across JVM processes, it might be prudent to
explicitly set criterium.core/estimated-overhead! to a constant
value.
API Documentation Annotated Source
See Elliptic Group for a Java benchmarking library. The accompanying article describes many of the JVM benchmarking pitfalls.
See Criterion for a Haskell benchmarking library that applies many of the same statistical techniques.
Serial correlation detection. Multimodal distribution detection. Use kernel density estimators?
To release, run the release.sh script. This requires that you have
git-flow enabled your git repository with git flow init, and that
you have configured your
credentials for clojars.
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