Use multiple fields in a calculation
This page documents an earlier version of InfluxDB. InfluxDB v2.7 is the latest stable version. View this page in the v2.7 documentation.
To use values from multiple fields in a mathematic calculation, complete the following steps:
- Filter by fields required in your calculation
- Pivot fields into columns
- Perform the mathematic calculation
Filter by fields
Use filter()
to return only the fields necessary for your calculation.
Use the or
logical operator
to filter by multiple fields.
The following example queries two fields, A
and B
:
from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) => r._field == "A" or r._field == "B")
This query returns one or more tables for each field. For example:
_time | _field | _value |
---|---|---|
2021-01-01T00:00:00Z | A | 12.4 |
2021-01-01T00:00:15Z | A | 12.2 |
2021-01-01T00:00:30Z | A | 11.6 |
2021-01-01T00:00:45Z | A | 11.9 |
_time | _field | _value |
---|---|---|
2021-01-01T00:00:00Z | B | 3.1 |
2021-01-01T00:00:15Z | B | 4.8 |
2021-01-01T00:00:30Z | B | 2.2 |
2021-01-01T00:00:45Z | B | 3.3 |
Pivot fields into columns
Use pivot()
to align multiple fields by time.
To correctly pivot on _time
, points for each field must have identical timestamps.
If timestamps are irregular or do not align perfectly, see
Normalize irregular timestamps.
// ...
|> pivot(rowKey: ["_time"], columnKey: ["_field"], valueColumn: "_value")
Using the queried data above, this pivot()
function returns:
_time | A | B |
---|---|---|
2021-01-01T00:00:00Z | 12.4 | 3.1 |
2021-01-01T00:00:15Z | 12.2 | 4.8 |
2021-01-01T00:00:30Z | 11.6 | 2.2 |
2021-01-01T00:00:45Z | 11.9 | 3.3 |
Perform the calculation
Use map()
to perform the mathematic operation using column values as operands.
The following example uses values in the A
and B
columns to calculate a new _value
column:
// ...
|> map(fn: (r) => ({ r with _value: r.A * r.B }))
Using the pivoted data above, this map()
function returns:
_time | A | B | _value |
---|---|---|---|
2021-01-01T00:00:00Z | 12.4 | 3.1 | 38.44 |
2021-01-01T00:00:15Z | 12.2 | 4.8 | 58.56 |
2021-01-01T00:00:30Z | 11.6 | 2.2 | 25.52 |
2021-01-01T00:00:45Z | 11.9 | 3.3 | 39.27 |
Full example query
from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) => r._field == "A" or r._field == "B")
|> pivot(rowKey: ["_time"], columnKey: ["_field"], valueColumn: "_value")
|> map(fn: (r) => ({r with _value: r.A * r.B}))
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