Hello,
I’ve just successfully imported electricity consumption into influxdb (2.0.3) and I am now trying to figure out how to visualize it in the explorer.
The hourly consumption has a “rate” tag as kwh price with values being “other” or “winterday” as it varies between day/night during winter.
I’m ending up with 2 graphs (one per rate) which I’d like to merge them in only one graph as for any given time, there is only one rate being applied.
Just as an illustration, here’s a screenshot from my elecricity provider (pink color => winterday rate)
I tried to use the “join” transform but not sure if it’s the correct approach or if I did something wrong
other = from(bucket: "bck")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "hourly_consumption")
|> filter(fn: (r) => r["_field"] == "value")
|> filter(fn: (r) => r["rate"] == "other")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
winterday = from(bucket: "bck")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "hourly_consumption")
|> filter(fn: (r) => r["_field"] == "value")
|> filter(fn: (r) => r["rate"] == "winterday")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
join(tables: {o:other, w:winterday}, on: ["_time", "_stop", "_start", "host"])
|> map(fn: (r) => ({
_time: r._time,
_value: r._value_o + r._value_o
})
)
|> yield()
Any suggestion would be welcome
Mikael