One of the properties that Codahale's "Metrics" received is "biased".
Can someone explain what does it mean?
public Histogram newHistogram(Class<?> klass,
String name,
boolean biased)
Creates a new Histogram and registers it under the given class and name.
Parameters:
klass - the class which owns the metric
name - the name of the metric
biased - whether or not the histogram should be biased
Returns:
a new Histogram
When in doubt, look at the source:
/**
* Uses an exponentially decaying sample of 1028 elements, which offers a 99.9% confidence
* level with a 5% margin of error assuming a normal distribution, and an alpha factor of
* 0.015, which heavily biases the sample to the past 5 minutes of measurements.
*/
BIASED {
@Override
public Sample newSample() {
return new ExponentiallyDecayingSample(DEFAULT_SAMPLE_SIZE, DEFAULT_ALPHA);
}
};
A biased histogram is one that gives more weight to more recent measurements.
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