prometheus.histogramQuantile() function
The prometheus.histogramQuantile() function is experimental and subject to change at any time.
By using this function, you accept the risks of experimental functions.
The prometheus.histogramQuantile() function calculates quantiles on a set of values
assuming the given histogram data is scraped or read from a Prometheus data source.
prometheus.histogramQuantile() is an aggregate function.
import "experimental/prometheus"
prometheus.histogramQuantile(
quantile: 0.99,
metricVersion: 2,
)
Parameters
quantile
A value between 0.0 and 1.0 indicating the desired quantile.
metricVersion
Prometheus metric parsing format
used to parse queried Prometheus data.
Available versions are 1 and 2.
Default is 2.
tables
Input data.
Default is piped-forward data (<-).
Examples
Compute the 0.99 quantile of a Prometheus histogram
import "experimental/prometheus"
prometheus.scrape(url: "http://localhost:8086/metrics")
|> filter(fn: (r) => r._measurement == "prometheus")
|> filter(fn: (r) => r._field == "qc_all_duration_seconds")
|> prometheus.histogramQuantile(quantile: 0.99)
Compute the 0.99 quantile of a Prometheus histogram parsed with metric version 1
import "experimental/prometheus"
from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) => r._measurement == "qc_all_duration_seconds")
|> prometheus.histogramQuantile(quantile: 0.99, metricVersion: 1)
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