Documentation

Comparing values from different buckets

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 means bucket and compares it to the last value in the noaa bucket using last().
  • 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_readingdeviation
coyote_creek79.82710622710623899.172893772893772
santa_monica80.20451339915374854.79548660084626

Was this page helpful?

Thank you for your feedback!


Set your InfluxDB URL

Introducing InfluxDB 3.0

The new core of InfluxDB built with Rust and Apache Arrow. Available today in InfluxDB Cloud Dedicated.

Learn more

State of the InfluxDB Cloud Serverless documentation

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.