group() function

group() regroups input data by modifying group key of input tables.

Note: Group does not guarantee sort order. To ensure data is sorted correctly, use sort() after group().

Function type signature
(<-tables: stream[A], ?columns: [string], ?mode: string) => stream[A] where A: Record

For more information, see Function type signatures.



List of columns to use in the grouping operation. Default is [].

Note: When columns is set to an empty array, group() ungroups all data merges it into a single output table.


Grouping mode. Default is by.

Available modes:

  • by: Group by columns defined in the columns parameter.
  • except: Group by all columns except those in defined in the columns parameter.


Input data. Default is piped-forward data (<-).


Group by specific columns

import "sampledata"
    |> group(columns: ["_time", "tag"])

View example input and output

Group by everything except time

import "sampledata"
    |> group(columns: ["_time"], mode: "except")

View example input and output

Ungroup data

import "sampledata"

// Merge all tables into a single table
    |> group()

View example input and output

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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: