experimental.chain() function is subject to change at any time.
By using this function, you accept the risks of experimental functions.
experimental.chain() function runs two queries in a single Flux script
sequentially and outputs the results of the second query.
Flux typically executes multiple queries in a single script in parallel.
Running the queries sequentially ensures any dependencies the second query has on
the results of the first query are met.
Applicable use cases
- Writing to a bucket and querying the written data in a single Flux script or InfluxDB task.
- Execute queries sequentially in testing scenarios.
import "experimental" experimental.chain( first: query1, second: query2 )
The first query to execute.
The second query to execute.
Write to a bucket and query the written data
import "experimental" downsampled_max = from(bucket: "example-bucket-1") |> range(start: -1d) |> filter(fn: (r) => r._measurement == "example-measurement") |> aggregateWindow(every: 1h, fn: max) |> to(bucket: "downsample-1h-max", org: "example-org") average_max = from(bucket: "downsample-1h-max") |> range(start: -1d) |> filter(fn: (r) => r.measurement == "example-measurement") |> mean() experimental.chain( first: downsampled_max, second: average_max )
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for Flux and this documentation. To find support, the following resources are available:
InfluxDB Cloud customers can contact InfluxData Support.