Documentation

union() function

union() merges two or more input streams into a single output stream.

The output schemas of union() is the union of all input schemas. union() does not preserve the sort order of the rows within tables. Use sort() if you need a specific sort order.

Union vs join

union() does not modify data in rows, but unions separate streams of tables into a single stream of tables and groups rows of data based on existing group keys. join() creates new rows based on common values in one or more specified columns. Output rows also contain the differing values from each of the joined streams.

Function type signature
(tables: [stream[A]]) => stream[A] where A: Record
  • Copy
  • Fill window

For more information, see Function type signatures.

Parameters

tables

(Required) List of two or more streams of tables to union together.

Examples

Union two streams of tables with unique group keys

import "generate"

t1 =
    generate.from(
        count: 4,
        fn: (n) => n + 1,
        start: 2022-01-01T00:00:00Z,
        stop: 2022-01-05T00:00:00Z,
    )
        |> set(key: "tag", value: "foo")
        |> group(columns: ["tag"])

t2 =
    generate.from(
        count: 4,
        fn: (n) => n * (-1),
        start: 2022-01-01T00:00:00Z,
        stop: 2022-01-05T00:00:00Z,
    )
        |> set(key: "tag", value: "bar")
        |> group(columns: ["tag"])

union(tables: [t1, t2])
  • Copy
  • Fill window

View example output

Union two streams of tables with empty group keys

import "generate"

t1 =
    generate.from(
        count: 4,
        fn: (n) => n + 1,
        start: 2021-01-01T00:00:00Z,
        stop: 2021-01-05T00:00:00Z,
    )
        |> set(key: "tag", value: "foo")
        |> group()

t2 =
    generate.from(
        count: 4,
        fn: (n) => n * (-1),
        start: 2021-01-01T00:00:00Z,
        stop: 2021-01-05T00:00:00Z,
    )
        |> set(key: "tag", value: "bar")
        |> group()

union(tables: [t1, t2])
  • Copy
  • Fill window

View example 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

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: