Documentation

experimental.to() function

experimental.to() is subject to change at any time. By using this function, you accept the risks of experimental functions.

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")


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