Hi there,
i fail to distinctively applying a multiplication to a single column in a multi column request.
The request looks like:
from(bucket: "excesspv")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "boiler")
|> filter(fn: (r) => r["_field"] == "power_house" or r["_field"] == "set_power" or r["_field"] == "target_power")
|> filter(fn: (r) => r["location"] == "Hinterkirch 3")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "mean")
I would like to apply the multiplication to the field “power_house” and leave “set_power” and “target_power” untouched.
How can I do that?
Thanks in advance,
Lukas
Hello @lukasstein,
Welcome!
I apologize for the delay.
You’re going to want to do something like:
from(bucket: "excesspv")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "boiler")
|> filter(fn: (r) => r["_field"] == "power_house")
|> filter(fn: (r) => r["location"] == "Hinterkirch 3")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "aggregated powerhouse")
from(bucket: "excesspv")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "boiler")
|> filter(fn: (r) => r["_field"] == "set_power" or r["_field"] == "target_power")
|> filter(fn: (r) => r["location"] == "Hinterkirch 3")
|> yield(name: "untouched")