Comparing values from different buckets
This page documents an earlier version of InfluxDB. InfluxDB v2.6 is the latest stable version. View this page in the v2.6 documentation.
This example uses NOAA water sample data.
This example compares the value from the latest point to an average value stored in another bucket. This is useful when using the average value to calculate a threshold check.
The following query:
- Uses
range()to define a time range. - Gets the last value in the
meansbucket and compares it to the last value in thenoaabucket usinglast(). - Uses
join()to combine the results - Uses
map()to calculate the differences
means = from(bucket: "weekly_means")
|> range(start: 2019-09-01T00:00:00Z)
|> last()
|> keep(columns: ["_value", "location"])
latest = from(bucket: "noaa")
|> range(start: 2019-09-01T00:00:00Z)
|> filter(fn: (r) => r._measurement == "average_temperature")
|> last()
|> keep(columns: ["_value", "location"])
join(tables: {mean: means, reading: latest}, on: ["location"])
|> map(fn: (r) => ({r with deviation: r._value_reading - r._value_mean}))
Example results
| location | _value_mean | _value_reading | deviation |
|---|---|---|---|
| coyote_creek | 79.82710622710623 | 89 | 9.172893772893772 |
| santa_monica | 80.20451339915374 | 85 | 4.79548660084626 |
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