Flux 中带有完整查询的数学答案

【问题标题】：Math with full query in FluxFlux 中带有完整查询的数学
【发布时间】：2022-10-19 16:49:27
【问题描述】：

我家里有一些用于冰箱或 PC 等设备的功率传感器，还有一个完整的传感器来测量整个房屋的消耗。我试图用我家的个人潜水用途来实现饼图。这很好用。唯一的问题是，我现在需要计算“休息”或“其他”值。为此，我想从整个传感器中取出数字并减去所有其他值。

我有两个单独的查询给了我这两个数字。我只是找不到从另一个中减去一个的方法。

查询如下：

全传感器：

from(bucket: "hoi2c")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "power_usage")
  |> filter(fn: (r) => r["_field"] == "total_usage_no_neg")
  |> filter(fn: (r) => r["type"] == "sh_em3-01")
  |> aggregateWindow(every: 100y, fn: sum, createEmpty: false)
  |> yield(name: "sum")

所有其他设备的总和：

from(bucket: "hoi2c")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "power_usage" or r["_measurement"] == "devices_power_usage")
  |> filter(fn: (r) => r["_field"] == "total_usage_no_neg")
  |> filter(fn: (r) => r["type"] == "sh_plug_wohnwand" or r["type"] == "sh_plug_office2" or r["type"] == "sh_plug_office1" or r["type"] == "sh_plug_kuehlschrank" or r["type"] == "sh_plug_datacenter" or r["type"] == "sh1_plpm_gartenhaus")
  |> group(columns: ["_field"])
  |> aggregateWindow(every: 100y, fn: sum, createEmpty: false)
  |> yield(name: "sum")

有谁知道我怎么能做到这一点？

此致拉斯

【问题讨论】：

标签： influxdb flux

【解决方案1】：

这应该有效。您可以像这样将整个结果保存到变量中：

full_sensor = from(bucket: "hoi2c")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "power_usage")
  |> filter(fn: (r) => r["_field"] == "total_usage_no_neg")
  |> filter(fn: (r) => r["type"] == "sh_em3-01")
  |> aggregateWindow(every: 100y, fn: sum, createEmpty: false)
  |> yield(name: "sum")

other = from(bucket: "hoi2c")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "power_usage" or r["_measurement"] == "devices_power_usage")
  |> filter(fn: (r) => r["_field"] == "total_usage_no_neg")
  |> filter(fn: (r) => r["type"] == "sh_plug_wohnwand" or r["type"] == "sh_plug_office2" or r["type"] == "sh_plug_office1" or r["type"] == "sh_plug_kuehlschrank" or r["type"] == "sh_plug_datacenter" or r["type"] == "sh1_plpm_gartenhaus")
  |> group(columns: ["_field"])
  |> aggregateWindow(every: 100y, fn: sum, createEmpty: false)
  |> yield(name: "sum")

full_sensor - other

【讨论】：