Documentation

experimental.distinct() function

experimental.distinct() is subject to change at any time.

experimental.distinct() returns unique values from the _value column.

The _value of each output record is set to a distinct value in the specified column. null is considered a distinct value.

experimental.distinct() drops all columns not in the group key and drops empty tables.

Function type signature
(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}]
  • Copy
  • Fill window

For more information, see Function type signatures.

Parameters

tables

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

Examples

Return distinct values from each input table

import "experimental"
import "sampledata"

sampledata.int(includeNull: true)
    |> experimental.distinct()
  • Copy
  • Fill window

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 3.2

Key enhancements in InfluxDB 3.2 and the InfluxDB 3 Explorer UI is now generally available.

See the Blog Post

InfluxDB 3.2 is now available for both Core and Enterprise, bringing the general availability of InfluxDB 3 Explorer, a new UI that simplifies how you query, explore, and visualize data. On top of that, InfluxDB 3.2 includes a wide range of performance improvements, feature updates, and bug fixes including automated data retention and more.

For more information, check out: