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Version: 1.11.0 (latest)

dlt.destinations.impl.bigquery.factory

bigquery Objects

class bigquery(Destination[BigQueryClientConfiguration, "BigQueryClient"])

View source on GitHub

__init__

def __init__(credentials: GcpServiceAccountCredentials = None,
location: str = None,
has_case_sensitive_identifiers: bool = None,
destination_name: str = None,
environment: str = None,
**kwargs: Any) -> None

View source on GitHub

Configure the MsSql destination to use in a pipeline.

All arguments provided here supersede other configuration sources such as environment variables and dlt config files.

Arguments:

  • credentials GcpServiceAccountCredentials, optional - Credentials to connect to the BigQuery database. Can be an instance of GcpServiceAccountCredentials or a dict or string with service accounts credentials as used in the Google Cloud
  • location str, optional - A location where the datasets will be created, eg. "EU". The default is "US"
  • has_case_sensitive_identifiers bool, optional - Is the dataset case-sensitive, defaults to True
  • destination_name str, optional - Name of the destination, can be used in config section to differentiate between multiple of the same type
  • environment str, optional - Environment of the destination
  • **kwargs Any - Additional arguments passed to the destination config

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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