Documentation

array.toTime() function

array.toTime() is experimental and subject to change at any time.

array.toTime() converts all values in an array to times.

Supported array types

  • [int] (parsed as nanosecond epoch timestamps)
  • [string] with values that use time literal representation (RFC3339 timestamps).
  • [uint] (parsed as nanosecond epoch timestamps)
Function type signature
(<-arr: [A]) => [time]

For more information, see Function type signatures.

Parameters

arr

Array of values to convert. Default is the piped-forward array (<-).

Examples

Convert an array of integers to time values

import "experimental/array"

arr = [1640995200000000000, 1643673600000000000, 1646092800000000000]

array.toTime(arr: arr)// Returns [2022-01-01T00:00:00Z, 2022-02-01T00:00:00Z, 2022-03-01T00:00:00Z]

Was this page helpful?

Thank you for your feedback!


New in InfluxDB 3.6

Key enhancements in InfluxDB 3.6 and the InfluxDB 3 Explorer 1.4.

See the Blog Post

InfluxDB 3.6 is now available for both Core and Enterprise. This release introduces the 1.4 update to InfluxDB 3 Explorer, featuring the beta launch of Ask AI, along with new capabilities for simple startup and expanded functionality in the Processing Engine.

For more information, check out:

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On February 3, 2026, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2