Documentation

Query Google Cloud Bigtable

To query Google Cloud Bigtable with Flux:

  1. Import the experimental/bigtable package.

  2. Use bigtable.from and provide the following parameters:

    • token: Google Cloud IAM token
    • project: Bigtable project ID
    • instance: Bigtable instance ID
    • table: Bigtable table to query
import "experimental/bigtable"

bigtable.from(
    token: "mySuPeRseCretTokEn",
    project: "exampleProjectID",
    instance: "exampleInstanceID",
    table: "example-table",
)

Results structure

bigtable.from() returns a stream of tables with no grouping (all rows in a single table). For more information about table grouping, see Flux data model - Restructure tables.

Store sensitive credentials as secrets

If using InfluxDB Cloud or InfluxDB OSS 2.x, we recommend storing Bigtable connection credentials as InfluxDB secrets. Use secrets.get() to retrieve a secret from the InfluxDB secrets API.

import "experimental/bigtable"
import "influxdata/influxdb/secrets"

bigtable_token = secrets.get(key: "BIGTABLE_TOKEN")
bigtable_project = secrets.get(key: "BIGTABLE_PROJECT_ID")
bigtable_instance = secrets.get(key: "BIGTABLE_INSTANCE_ID")

bigtable.from(
    token: bigtable_token,
    project: bigtable_project,
    instance: bigtable_instance,
    table: "example-table"
)

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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: