docs-v2/content/flux/v0.x/stdlib/experimental/chain.md

title	description	aliases	menu	weight	introduced
experimental.chain() function	The `experimental.chain()` function runs two queries in a single Flux script sequentially and outputs the results of the second query.	/influxdb/v2.0/reference/flux/stdlib/experimental/chain/ /influxdb/cloud/reference/flux/stdlib/experimental/chain/	flux_0_x_ref name parent experimental.chain experimental	302	0.68.0

The 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,
)

Parameters

first

The first query to execute.

second

The second query to execute.

Examples

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)