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Fix wrongly filtered data

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by not assuming that every duration data point has a environment id tag.
This commit is contained in:
Maximilian Paß
2022-11-09 22:41:12 +00:00
parent 37ee649675
commit f9c877cc93
3 changed files with 3 additions and 3 deletions
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2
deploy/grafana-dashboard/queries/request-latency.flux
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@ -1,7 +1,7 @@
from(bucket: "poseidon/autogen")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_field"] == "duration")
|> filter(fn: (r) => contains(value: r["environment_id"], set: ${environment_ids:json}))
|> filter(fn: (r) => (not exists r.environment_id) or contains(value: r["environment_id"], set: ${environment_ids:json}))
|> filter(fn: (r) => (not exists r.stage) or contains(value: r["stage"], set: ${stages:json}))
|> keep(columns: ["_time", "_value"])
|> aggregateWindow(every: v.windowPeriod, fn: mean)

2
deploy/grafana-dashboard/queries/requests-per-minute.flux
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@ -3,7 +3,7 @@ import "date"
data = from(bucket: "poseidon/autogen")
|> range(start: date.truncate(t: v.timeRangeStart, unit: 1m), stop: date.truncate(t: v.timeRangeStop, unit: 1m))
|> filter(fn: (r) => r._field == "duration")
|> filter(fn: (r) => contains(value: r["environment_id"], set: ${environment_ids:json}))
|> filter(fn: (r) => (not exists r.environment_id) or contains(value: r["environment_id"], set: ${environment_ids:json}))
|> filter(fn: (r) => (not exists r.stage) or contains(value: r["stage"], set: ${stages:json}))
|> keep(columns: ["_time", "_value", "status"])

2
deploy/grafana-dashboard/queries/service-time.flux
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@ -1,7 +1,7 @@
from(bucket: "poseidon/autogen")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_field"] == "duration")
|> filter(fn: (r) => contains(value: r["environment_id"], set: ${environment_ids:json}))
|> filter(fn: (r) => (not exists r.environment_id) or contains(value: r["environment_id"], set: ${environment_ids:json}))
|> filter(fn: (r) => (not exists r.stage) or contains(value: r["stage"], set: ${stages:json}))
|> keep(columns: ["_time", "_value", "_measurement"])
|> aggregateWindow(every: duration(v: int(v: v.windowPeriod) * 10), fn: (tables=<-, column) => tables |> quantile(q: 0.999))