[jira] [Commented] (STATISTICS-75) Create JMH benchmarks for statistic initialization

["Alex Herbert (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/STATISTICS-75?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17772561#comment-17772561 ] 

Alex Herbert commented on STATISTICS-75:
----------------------------------------

I created a simple benchmark to initialise a statistic from an input array. The statistic was a simple sum of values. Data were random values in [0, 1). Methods tested:
{code:java}
double[] data = ...
DoubleConsumer s = ...

// forLoop
for (int i = 0; i < data.length; i++) {
    s.accept(data[i]);
}

// forEachLoop
for (final double x : data) {
    s.accept(x);
}

// streamForEach
Arrays.stream(data).forEach(s::accept);

{code}
Results (Java version: 11.0.20.1):
|length|forEachLoop|forLoop|streamForEach|
|0|2.44|2.46|16.37|
|1|4.17|4.18|17.12|
|10|8.00|7.83|21.51|
|100|59.42|59.80|89.67|
|1000|790.26|790.36|814.05|
|10000|8056.13|8102.35|8112.76|
h2. Conclusion

Creation of a stream is not as fast on small input arrays. On arrays above size 1000 the difference is negligible.

 

> Create JMH benchmarks for statistic initialization
> --------------------------------------------------
>
>                 Key: STATISTICS-75
>                 URL: https://issues.apache.org/jira/browse/STATISTICS-75
>             Project: Commons Statistics
>          Issue Type: Sub-task
>          Components: descriptive
>            Reporter: Anirudh Joshi
>            Priority: Minor
>              Labels: gsoc, gsoc2023
>
> Create JMH benchmarks for statistic initialization comparing Arrays.stream to a simple for loop.



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