Grafana: Pie Chart: Unterschied zwischen den Versionen
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== Multiple Queries -> multiple Pie slices == | == Multiple Queries -> multiple Pie slices == | ||
[[Datei:02-grafana pie-chart.png|right]] | [[Datei:02-grafana pie-chart.png|right]] | ||
− | '''This works also before Grafana 8.x. Add multiple Queries in the Grafana panel | + | '''This works also before Grafana 8.x. Add multiple Queries in the Grafana panel:''' |
+ | [[Datei:03-grafana pie-chart.png]] | ||
=== InfluxDB Flux Query 1 (for Category-1) === | === InfluxDB Flux Query 1 (for Category-1) === |
Version vom 30. August 2021, 11:32 Uhr
Following are two examples to make great Pie Chart with Grafana and InfluxDB Flux.
Inhaltsverzeichnis
One Query -> multiple Pie slices (recommended)
This works only with Grafana 8.x or higher!
InfluxDB Flux Query
Create a Grafana Pie chart panel that shows the count of unique hosts per SLA. We named the SLA's (in Influx tag "sla") as precious metals for example "Gold".
//define variables bucket = "<YOUR_BUCKET>" measurement = "<YOUR_MEASUREMENT>" field = "<YOUR_FIELD>" group = "<YOUR_GROUP/YOUR_SLICES>" //in this examples the SLA from(bucket: bucket) |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r._measurement == measurement and r._field == field ) |> last() |> group() |> unique(column: "host") |> group(columns: ["sla"]) |> count() |> rename(columns: {_value: ""}) //remove _value from Pie slice naming
Multiple Queries -> multiple Pie slices
This works also before Grafana 8.x. Add multiple Queries in the Grafana panel:
InfluxDB Flux Query 1 (for Category-1)
//define variables bucket = "<YOUR_BUCKET>" measurement = "<YOUR_MEASUREMENT>" field = "<YOUR_FIELD>" from(bucket: bucket) |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r._measurement == measurement and r._field == field ) |> last() |> group() |> keep(columns: ["host"]) |> distinct(column: "host") |> count() |> rename(columns: {_value: "Category-1"})
InfluxDB Flux Query 2 (for Category-2)
//define variables bucket = "<YOUR_BUCKET>" measurement = "<YOUR_MEASUREMENT>" field = "<YOUR_FIELD>" from(bucket: bucket) |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r._measurement == measurement and r._field == field ) |> last() |> group() |> keep(columns: ["host"]) |> distinct(column: "host") |> count() |> rename(columns: {_value: "Category-2"})