Documentation

join package

The join package provides functions that join two table streams together. Import the join package:

import "join"
  • Copy
  • Fill window

Outer joins

The join transformation supports left, right, and full outer joins.

  • Left outer joins generate at least one output row for each record in the left input stream. If a record in the left input stream does not have a match in the right input stream, r is substituted with a default record in the as function.
  • Right outer joins generate at least one output row for each record in the right input stream. If a record in the right input stream does not have a match in the left input stream, l is substituted with a default record in the as function.
  • Full outer joins generate at least one output row for each record in both input streams. If a record in either input stream doesn’t have a match in the other input stream, one of the arguments to the as function is substituted with a default record (either l or r, depending on which one is missing the matching record)

A default record has the same columns as the records in the corresponding input table, but only group key columns are populated with a value. All other columns are null.

Inner joins

Inner joins drop any records that don’t have a match in the other input stream. There is no need to account for default or unmatched records when performing an inner join.

Functions


Was this page helpful?

Thank you for your feedback!


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

New in InfluxDB 3.2

Key enhancements in InfluxDB 3.2 and the InfluxDB 3 Explorer UI is now generally available.

See the Blog Post

InfluxDB 3.2 is now available for both Core and Enterprise, bringing the general availability of InfluxDB 3 Explorer, a new UI that simplifies how you query, explore, and visualize data. On top of that, InfluxDB 3.2 includes a wide range of performance improvements, feature updates, and bug fixes including automated data retention and more.

For more information, check out: