bigtable.from() function

The bigtable.from() function is experimental and subject to change at any time. By using this function, you accept the risks of experimental functions.

The bigtable.from() function retrieves data from a Google Cloud Bigtable data source.

*Function type: Input*

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

Parameters

token

The Google Cloud IAM token to use to access the Cloud Bigtable database.

For more information, see the following:

• Cloud Bigtable Access Control
• Google Cloud IAM How-to guides
• Setting Up Authentication for Server to Server Production Applications on Google Cloud

*Data type: String*

project

The project ID of the Cloud Bigtable project to retrieve data from.

*Data type: String*

instance

The instance ID of the Cloud Bigtable instance to retrieve data from.

*Data type: String*

table

The name of the Cloud Bigtable table to retrieve data from.

*Data type: String*

Examples

The example below uses InfluxDB secrets to populate sensitive connection credentials.

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"
)