experimental.unpivot() function

experimental.unpivot() is subject to change at any time.

experimental.unpivot() creates _field and _value columns pairs using all columns (other than _time) not in the group key. The _field column contains the original column label and the _value column contains the original column value.

The output stream retains the group key and all group key columns of the input stream. _field is added to the output group key.

Function type signature
(<-tables: stream[{A with _time: time}], ?otherColumns: [string]) => stream[{B with _value: C, _field: string}] where A: Record, B: Record
For more information, see Function type signatures.



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


List of column names that are not in the group key but are also not field columns. Default is ["_time"].


Unpivot data into _field and _value columns

import "experimental"

    |> experimental.unpivot()

View example input and output

Was this page helpful?

Thank you for your feedback!

Linux Package Signing Key Rotation

All signed InfluxData Linux packages have been resigned with an updated key. If using Linux, you may need to update your package configuration to continue to download and verify InfluxData software packages.

For more information, see the Linux Package Signing Key Rotation blog post.

State of the InfluxDB Cloud (IOx) documentation

The new documentation for InfluxDB Cloud backed by InfluxDB IOx 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.