1aced0a130
as we will use distinct Influx and Grafana instances for the different stages/environments.
8 lines
390 B
Plaintext
8 lines
390 B
Plaintext
from(bucket: "poseidon")
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|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
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|> filter(fn: (r) => r["_measurement"] == "poseidon_used_runners")
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|> filter(fn: (r) => r["_field"] == "count")
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|> group(columns: ["stage"], mode:"by")
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|> keep(columns: ["_value", "_time", "stage"])
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|> aggregateWindow(every: duration(v: int(v: v.windowPeriod) * 5), fn: mean, createEmpty: false)
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