使用 Flux 查询基于组查找总和 - InfluxDB

Question

我正在尝试使用通量查询语言来查找基于人的列的总和。如果我有以下输入 table:

如何使用 Flux 查询获得以下输出 table:

到目前为止，我已经尝试过类似的操作，但出现错误：

from: (bucket: "example")
  |> range(start:v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r)=> r["_measurement"] == "test")
  |> group(columns: r["person"])
  |> reduce( fn: (r, accumulator) => ({sum: r._value + accumulator.sum}), identity: {sum: 0})

Answer 1

你几乎走对了路。您已经按名称分组，现在您需要使用函数 sum。注意最后一个函数 - |> group() 它只是为了联合 table 到一个视图。

|> group(columns: ["person"])
|> sum(column: "hoursSpent")
|> group()

我提供了完整的调试查询：

import "array"

data = array.from(rows: [
  {person: "John Smith", sport: "Cycling", hoursSpent: 5},
  {person: "John Smith", sport: "Hiking", hoursSpent: 6},
  {person: "John Smith", sport: "Swimming", hoursSpent: 1},
  {person: "John Smith", sport: "Dancing", hoursSpent: 2},
  {person: "Nancy Jones", sport: "Badminton", hoursSpent: 10},
  {person: "Nancy Jones", sport: "Soccer", hoursSpent: 31},
  {person: "Nancy Jones", sport: "Basketball", hoursSpent: 8},
  {person: "Trevor John", sport: "Baseball", hoursSpent: 24},
  {person: "Trevor John", sport: "Water Polo", hoursSpent: 2},
])

data
 |> group(columns: ["person"])
 |> sum(column: "hoursSpent")
 |> group()

使用 Flux 查询基于组查找总和 - InfluxDB

Finding the Sum based on Group using Flux Query - InfluxDB

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