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Full summary implementation #18
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TODO * no support for quantiles see - deadtrickster/prometheus.erl#18 it looks like exometer histograms should be replaced with prometheus summary (but it needs to be discussed) * update documentation according to new metric format
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TODO: there is no support for quantiles (for more info see - deadtrickster/prometheus.erl#18) It looks like exometer histograms should be replaced with prometheus summary when it will have support for quantiles (but it needs to be discussed)
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TODO: there is no support for quantiles (for more info see - deadtrickster/prometheus.erl#18) It looks like exometer histograms should be replaced with prometheus summary when it will have support for quantiles (but it needs to be discussed)
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TODO: there is no support for quantiles (for more info see - deadtrickster/prometheus.erl#18) It looks like exometer histograms should be replaced with prometheus summary when it will have support for quantiles (but it needs to be discussed)
So I found this: https://github.com/odo/quantile_estimator |
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Now only basic variant of summary metric is implemented - with sum and count of observations.
What's left:
Prometheus summaries usually use highly biased quantile and since we deal with streaming data so they always implement the same algorithm from paper [0]. Example implementations: [1-3].
Sliding window seems to be implemented using N numbers of age-overlapped summaries maintained in parallel. Of course only 'top' one is rendered during scraping.
Due to the huge overhead maybe it's good idea to keep current simple implementation as an option?
References:
0. Effective Computation of Biased Quantiles over Data Streams
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