Documentation

range() function

range() filters rows based on time bounds.

Input data must have a _time column of type time. Rows with a null value in the _time are filtered. range() adds a _start column with the value of start and a _stop column with the value of stop. _start and _stop columns are added to the group key. Each input table’s group key value is modified to fit within the time bounds. Tables with all rows outside the time bounds are filtered entirely.

Function type signature
(<-tables: stream[{C with _time: time}], start: A, ?stop: B) => stream[{C with _time: time, _stop: time, _start: time}]

For more information, see Function type signatures.

Parameters

start

(Required) Earliest time to include in results.

Results include rows with _time values that match the specified start time. Use a relative duration, absolute time, or integer (Unix timestamp in seconds). For example, -1h, 2019-08-28T22:00:00Z, or 1567029600. Durations are relative to now().

stop

Latest time to include in results. Default is now().

Results exclude rows with _time values that match the specified stop time. Use a relative duration, absolute time, or integer (Unix timestamp in seconds). For example, -1h, 2019-08-28T22:00:00Z, or 1567029600. Durations are relative to now().

tables

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

Examples

Query a time range relative to now

from(bucket: "example-bucket")
    |> range(start: -12h)

Query an absolute time range

from(bucket: "example-bucket")
    |> range(start: 2021-05-22T23:30:00Z, stop: 2021-05-23T00:00:00Z)

Query an absolute time range using Unix timestamps

from(bucket: "example-bucket")
    |> range(start: 1621726200, stop: 1621728000)

Was this page helpful?

Thank you for your feedback!


New in InfluxDB 3.5

Key enhancements in InfluxDB 3.5 and the InfluxDB 3 Explorer 1.3.

See the Blog Post

InfluxDB 3.5 is now available for both Core and Enterprise, introducing custom plugin repository support, enhanced operational visibility with queryable CLI parameters and manual node management, stronger security controls, and general performance improvements.

InfluxDB 3 Explorer 1.3 brings powerful new capabilities including Dashboards (beta) for saving and organizing your favorite queries, and cache querying for instant access to Last Value and Distinct Value caches—making Explorer a more comprehensive workspace for time series monitoring and analysis.

For more information, check out:

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On November 3, 2025, 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