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


Was this page helpful?

Thank you for your feedback!


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.

Read more

New in InfluxDB 3.4

Key enhancements in InfluxDB 3.4 and the InfluxDB 3 Explorer 1.2.

See the Blog Post

InfluxDB 3.4 is now available for both Core and Enterprise, which introduces offline token generation for use in automated deployments and configurable license type selection that lets you bypass the interactive license prompt. InfluxDB 3 Explorer 1.2 is also available, which includes InfluxDB cache management and other new features.

For more information, check out: