Documentation

Use the influx query command

Use the influx query command to query data in InfluxDB using Flux. Pass Flux queries to the command as either a file or via stdin.

Run a query from a file
influx query --file /path/to/query.flux
Pass raw Flux via stdin pipe
influx query - # Return to open the pipe

data = from(bucket: "example-bucket") |> range(start: -10m) # ...
# Linux & macOS: <ctrl-d> to close the pipe and submit the command
# Windows: <enter>, then <ctrl-d>, then <enter> to close the pipe and submit the command

Remove unnecessary columns in large datasets

When using the influx query command to query and download large datasets, drop columns such as _start and _stop to optimize the download file size.

// ...
    |> drop(columns: ["_start", "_stop"])

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Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Learn more
Contact InfluxData Sales

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:

State of the InfluxDB Cloud Serverless documentation

InfluxDB Cloud Serverless documentation is a work in progress.

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.