Documentation

experimental.to() function

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

experimental.to() writes pivoted data to an InfluxDB 2.x or InfluxDB Cloud bucket.

Deprecated

experimental.to() is deprecated in favor of wideTo(), which is an equivalent function.

Requirements and behavior

  • Requires both a _time and a _measurement column.
  • All columns in the group key (other than _measurement) are written as tags with the column name as the tag key and the column value as the tag value.
  • All columns not in the group key (other than _time) are written as fields with the column name as the field key and the column value as the field value.

If using from() to query data from InfluxDB, use pivot() to transform data into the structure experimental.to() expects.

Function type signature
(
    <-tables: stream[A],
    ?bucket: string,
    ?bucketID: string,
    ?host: string,
    ?org: string,
    ?orgID: string,
    ?token: string,
) => stream[A] where A: Record
For more information, see Function type signatures.

Parameters

bucket

Name of the bucket to write to. bucket and bucketID are mutually exclusive.

bucketID

String-encoded bucket ID to to write to. bucket and bucketID are mutually exclusive.

host

URL of the InfluxDB instance to write to.

See InfluxDB Cloud regions or InfluxDB OSS URLs. host is required when writing to a remote InfluxDB instance. If specified, token is also required.

org

Organization name. org and orgID are mutually exclusive.

orgID

String-encoded organization ID to query. org and orgID are mutually exclusive.

token

InfluxDB API token.

InfluxDB 1.x or Enterprise: If authentication is disabled, provide an empty string (""). If authentication is enabled, provide your InfluxDB username and password using the <username>:<password> syntax. token is required when writing to another organization or when host is specified.

tables

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

Examples

Pivot and write data to InfluxDB

import "experimental"

from(bucket: "example-bucket")
    |> range(start: -1h)
    |> pivot(rowKey: ["_time"], columnKey: ["_field"], valueColumn: "_value")
    |> experimental.to(bucket: "example-target-bucket")

Was this page helpful?

Thank you for your feedback!


Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Learn more
Contact InfluxData Sales

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: