Documentation

drop() function

drop() removes specified columns from a table.

Columns are specified either through a list or a predicate function. When a dropped column is part of the group key, it is removed from the key. If a specified column is not present in a table, the function returns an error.

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

For more information, see Function type signatures.

Parameters

columns

List of columns to remove from input tables. Mutually exclusive with fn.

fn

Predicate function with a column parameter that returns a boolean value indicating whether or not the column should be removed from input tables. Mutually exclusive with columns.

tables

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

Examples

Drop a list of columns

import "sampledata"

sampledata.int()
    |> drop(columns: ["_time", "tag"])

View example input and output

Drop columns matching a predicate

import "sampledata"

sampledata.int()
    |> drop(fn: (column) => column =~ /^t/)

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: