Use regular expressions in Flux
- Go regular expression syntax
- Regular expression operators
  - =~
  - !~
Regular expressions in Flux
- Basic regex comparison syntax
Examples
Helpful links
- Syntax documentation
- Go regex testers
Related

Use regular expressions in Flux

Regular expressions (regexes) are incredibly powerful when matching patterns in large collections of data. With Flux, regular expressions are primarily used for evaluation logic in predicate functions for things such as filtering rows, dropping and keeping columns, state detection, etc. This guide shows how to use regular expressions in your Flux scripts.

If you’re just getting started with Flux queries, check out the following:

Get started with Flux for a conceptual overview of Flux and parts of a Flux query.
Execute queries to discover a variety of ways to run your queries.

Go regular expression syntax

Flux uses Go’s regexp package for regular expression search. The links below provide information about Go’s regular expression syntax.

Regular expression operators

Flux provides two comparison operators for use with regular expressions.

`=~`

When the expression on the left MATCHES the regular expression on the right, this evaluates to true.

`!~`

When the expression on the left DOES NOT MATCH the regular expression on the right, this evaluates to true.

Regular expressions in Flux

When using regex matching in your Flux scripts, enclose your regular expressions with /. The following is the basic regex comparison syntax:

Basic regex comparison syntax

expression =~ /regex/
expression !~ /regex/

Examples

Use a regex to filter by tag value

The following example filters records by the cpu tag. It only keeps records for which the cpu is either cpu0, cpu1, or cpu2.

from(bucket: "example-bucket")
    |> range(start: -15m)
    |> filter(fn: (r) => r._measurement == "cpu" and r.cpu =~ /cpu[0-2]$/)

Use a regex to filter by field key

The following example excludes records that do not have _percent in a field key.

from(bucket: "example-bucket")
    |> range(start: -15m)
    |> filter(fn: (r) => r._measurement == "mem" and r._field =~ /_percent/)

Drop columns matching a regex

The following example drops columns whose names do not begin with _.

from(bucket: "example-bucket")
    |> range(start: -15m)
    |> filter(fn: (r) => r._measurement == "mem")
    |> drop(fn: (column) => column !~ /^_.*/)