3.0 KiB
3.0 KiB
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prometheus.histogramQuantile() function | `prometheus.histogramQuantile()` calculates a quantile on a set of Prometheus histogram values. |
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prometheus.histogramQuantile()
calculates a quantile on a set of Prometheus histogram values.
This function supports Prometheus metric parsing formats
used by prometheus.scrape()
, the Telegraf promtheus
input plugin, and
InfluxDB scrapers available in InfluxDB OSS.
Function type signature
(<-tables: stream[{B with le: D, _field: C}], quantile: float, ?metricVersion: A) => stream[E] where A: Equatable, C: Equatable, E: Record
{{% caption %}}For more information, see Function type signatures.{{% /caption %}}
Parameters
quantile
({{< req >}}) Quantile to compute. Must be a float value between 0.0 and 1.0.
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
- Compute the 0.99 quantile of a Prometheus histogram parsed with metric version 1
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)