Documentation

Query Google BigQuery

To query Google BigQuery with Flux:

  1. Import the sql package.

  2. Use sql.from() and provide the following parameters:

    • driverName: bigquery
    • dataSourceName: See data source name
    • query: SQL query to execute
import "sql"

sql.from(
    driverName: "bigquery",
    dataSourceName: "bigquery://projectid/?apiKey=mySuP3r5ecR3tAP1K3y",
    query: "SELECT * FROM exampleTable",
)

BigQuery data source name

The bigquery driver uses the following DSN syntaxes (also known as a connection string):

bigquery://projectid/?param1=value&param2=value
bigquery://projectid/location?param1=value&param2=value

Common BigQuery URL parameters

  • dataset - BigQuery dataset ID. When set, you can use unqualified table names in queries.

BigQuery authentication parameters

The Flux BigQuery implementation uses the Google Cloud Go SDK. Provide your authentication credentials using one of the following methods:

  • Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to identify the location of your credential JSON file.

  • Provide your base-64 encoded service account, refresh token, or JSON credentials using the credentials URL parameter in your BigQuery DSN.

    Example credentials URL parameter
    bigquery://projectid/?credentials=eyJ0eXBlIjoiYXV0...

Data type conversion

sql.from() converts BigQuery data types to Flux data types.

BigQuery data typeFlux data type
INTEGERint
FLOAT, NUMERICfloat
TIMESTAMPtime
BOOLEANbool

All other BigQuery data types (including DATE, TIME and DATETIME) are converted to strings.


Was this page helpful?

Thank you for your feedback!


New in InfluxDB 3.5

Key enhancements in InfluxDB 3.5 and the InfluxDB 3 Explorer 1.3.

See the Blog Post

InfluxDB 3.5 is now available for both Core and Enterprise, introducing custom plugin repository support, enhanced operational visibility with queryable CLI parameters and manual node management, stronger security controls, and general performance improvements.

InfluxDB 3 Explorer 1.3 brings powerful new capabilities including Dashboards (beta) for saving and organizing your favorite queries, and cache querying for instant access to Last Value and Distinct Value caches—making Explorer a more comprehensive workspace for time series monitoring and analysis.

For more information, check out:

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On February 3, 2026, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2