Among my data, there are a couple strings in the "_value" column. This means that when I use aggregateWindow()
I get this error: unsupported input type for mean aggregate: string
.
I want to know how I can filter out data of type string, before passing to aggregateWindow, thus avoiding the error.
Something like this maybe:
from(bucket: "mybucket")
|> range(start: -10m, stop: now())
|> filter(fn: (r) => type(r["_value"]) != "string")
|> aggregateWindow(every: 1m, fn: mean, createEmpty: false)
|> yield(name: "mean")
Per documentation, you can use types.isType
:
Filter by value type
import "types" data |> filter(fn: (r) => types.isType(v: r._value, type: "string"))
You may also want to consider types.isNumeric
, or - if suitable - use regex.