
as we will use distinct Influx and Grafana instances for the different stages/environments.
10 lines
544 B
Plaintext
10 lines
544 B
Plaintext
import "strings"
|
|
|
|
myWindowPeriod = if int(v: v.windowPeriod) > int(v: 1m) then duration(v: int(v: v.windowPeriod) * 10) else duration(v: int(v: v.windowPeriod) * 5)
|
|
result = from(bucket: "poseidon")
|
|
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|
|
|> filter(fn: (r) => r["_field"] == "request_size")
|
|
|> filter(fn: (r) => contains(value: r["environment_id"], set: ${environment_ids:json}))
|
|
|> keep(columns: ["_time", "_value", "environment_id", "stage"])
|
|
|> aggregateWindow(every: myWindowPeriod, fn: mean, createEmpty: false)
|