date.truncate() function

date.truncate() returns a time truncated to the specified duration unit.

Function type signature
(t: A, unit: duration, ?location: {zone: string, offset: duration}) => time where A: Timeable

For more information, see Function type signatures.



(Required) Time to operate on.

Use an absolute time, relative duration, or integer. Durations are relative to now().


(Required) Unit of time to truncate to.

Only use 1 and the unit of time to specify the unit. For example: 1s, 1m, 1h.


Location used to determine timezone. Default is the location option.


Truncate time values

import "date"
import "timezone"

option location = timezone.location(name: "Europe/Madrid")

date.truncate(t: 2019-06-03T13:59:01Z, unit: 1s)

// Returns 2019-06-03T13:59:01.000000000Z
date.truncate(t: 2019-06-03T13:59:01Z, unit: 1m)

// Returns 2019-06-03T13:59:00.000000000Z
date.truncate(t: 2019-06-03T13:59:01Z, unit: 1h)

// Returns 2019-06-03T13:00:00.000000000Z
date.truncate(t: 2019-06-03T13:59:01Z, unit: 1d)

// Returns 2019-06-02T22:00:00.000000000Z
date.truncate(t: 2019-06-03T13:59:01Z, unit: 1mo)

// Returns 2019-05-31T22:00:00.000000000Z
date.truncate(t: 2019-06-03T13:59:01Z, unit: 1y)// Returns 2018-12-31T23:00:00.000000000Z

Truncate time values using relative durations

import "date"

option now = () => 2020-01-01T00:00:30.5Z

date.truncate(t: -30s, unit: 1s)

// Returns 2019-12-31T23:59:30.000000000Z
date.truncate(t: -1m, unit: 1m)

// Returns 2019-12-31T23:59:00.000000000Z
date.truncate(t: -1h, unit: 1h)// Returns 2019-12-31T23:00:00.000000000Z

Query data from this year

import "date"

from(bucket: "example-bucket")
    |> range(start: date.truncate(t: now(), unit: 1y))

Query data from this calendar month

import "date"

from(bucket: "example-bucket")
    |> range(start: date.truncate(t: now(), unit: 1mo))

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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: