1aced0a130
as we will use distinct Influx and Grafana instances for the different stages/environments.
10 lines
476 B
Plaintext
10 lines
476 B
Plaintext
import "strings"
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result = from(bucket: "poseidon")
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|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
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|> filter(fn: (r) => r["_measurement"] == "poseidon_nomad_idle_runners")
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|> filter(fn: (r) => r["_field"] == "startup_duration")
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|> filter(fn: (r) => contains(value: r["environment_id"], set: ${environment_ids:json}))
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|> keep(columns: ["_value", "_time", "environment_id", "stage"])
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|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
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