Aggregating min and max for many fields

[Anaisdg]

Hello @dondario,
Do you really want to rename everything would it be okay not too? That’ll simplify the query.
You can do:

data = from(bucket: "sensors")
  |> range(start: -365d)
  |> filter(fn: (r) => r["_measurement"] == "Weather")
  |> filter(fn: (r) => r["_field"] == "SolarRadiation" or r["_field"] == "Temperature" or r["_field"] == "Pressure" or ...)
data
  |> aggregateWindow(every: 4h, fn: mean)
  |> to(bucket: "forever")  


data
  |> aggregateWindow(every: 4h, fn: min)
  |> to(bucket: "forever")  

data
  |> aggregateWindow(every: 4h, fn: max)
  |> to(bucket: "forever")  

Alternatively if you are querying every field in your measurement you can just do:

data = from(bucket: "sensors")
  |> range(start: -365d)
  |> filter(fn: (r) => r["_measurement"] == "Weather")

Lastly if you’re applying these aggregates to every field except a couple you can alternatively do:

from(bucket: "sensors")
  |> range(start: -365d)
  |> filter(fn: (r) => r["_measurement"] == "Weather")
  |> filter(fn: (r) => r["_field"] != "only field you dont want to calculate the mean for")
  |> aggregateWindow(every: 4h, fn: mean)
  |> set(key: "_field", value: "SolarRadiation_mean")
  |> to(bucket: "forever")  

But yes you’ll want to apply an aggregateWindow to all of your data for each aggreagation so the general structure will be the same.

However the following might interest you:

minMaxMean = (tables=<-) =>
  tables
    |> reduce(
      identity: {count: 0.0, sum: 0.0, min: 0.0, max: 0.0, mean: 0.0},
      fn: (r, accumulator) => ({
        count: accumulator.count + 1.0,
        sum: r._value + accumulator.sum,
        min: if accumulator.count == 0.0 then r._value else if r._value < accumulator.min then r._value else accumulator.min,
        max: if accumulator.count == 0.0 then r._value else if r._value > accumulator.max then r._value else accumulator.max,
        mean: (r._value + accumulator.sum) / (accumulator.count + 1.0)
      })
    )

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But Id still use 3 separate aggwindow functions