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Optimize percentile calculation #67
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Original file line number | Diff line number | Diff line change |
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@@ -14,15 +14,9 @@ var ExponentiallyDecayingSample = module.exports = function ExponentiallyDecayin | |
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ExponentiallyDecayingSample.prototype = new Sample(); | ||
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// This is a relatively expensive operation | ||
// The result is not sorted in a meaningful order. | ||
ExponentiallyDecayingSample.prototype.getValues = function() { | ||
var values = [] | ||
, elt | ||
, heap = this.values.clone(); | ||
while(elt = heap.pop()) { | ||
values.push(elt.val); | ||
} | ||
return values; | ||
return this.values.getValues().map(function(v) { return v.val; }); | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. D'oh, now that I think of it, this very line here of using map and returning the underlying value works fine! We still essentially get a snapshot, so ignore my previous comments as this is sufficient. Sorry for any confusion! |
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} | ||
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ExponentiallyDecayingSample.prototype.size = function() { | ||
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One thing that is odd to me is why it does:
This looks really inefficient, instead this should work better:
I updated percentiles.js benchmark to try this out, changing the cycle method to:
Results:
The performance is not as good as the non-copy approach, but it's definitely better than before. If we go the route of adding the
snapshot
parameter, we can retain aclone
implementation and change it to useslice
instead of using the JSON trick.