Documentation

Sort and limit data with Flux

Use sort() to order records within each table by specific columns and limit() to limit the number of records in output tables to a fixed number, n.

If you’re just getting started with Flux queries, check out the following:

Example sorting system uptime

The following example orders system uptime first by region, then host, then value.

from(bucket: "example-bucket")
    |> range(start: -12h)
    |> filter(fn: (r) => r._measurement == "system" and r._field == "uptime")
    |> sort(columns: ["region", "host", "_value"])
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The limit() function limits the number of records in output tables to a fixed number, n. The following example shows up to 10 records from the past hour.

from(bucket:"example-bucket")
    |> range(start:-1h)
    |> limit(n:10)
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You can use sort() and limit() together to show the top N records. The example below returns the 10 top system uptime values sorted first by region, then host, then value.

from(bucket: "example-bucket")
    |> range(start: -12h)
    |> filter(fn: (r) => r._measurement == "system" and r._field == "uptime")
    |> sort(columns: ["region", "host", "_value"])
    |> limit(n: 10)
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  • Fill window

You now have created a Flux query that sorts and limits data. Flux also provides the top() and bottom() functions to perform both of these functions at the same time.


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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.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: