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Version: 1.11.0 (latest)

dlt.destinations.impl.athena.factory

athena Objects

class athena(Destination[AthenaClientConfiguration, "AthenaClient"])

View source on GitHub

__init__

def __init__(query_result_bucket: str = None,
credentials: Union[AwsCredentials, Dict[str, Any], Any] = None,
athena_work_group: str = None,
aws_data_catalog: str = "awsdatacatalog",
destination_name: str = None,
environment: str = None,
**kwargs: Any) -> None

View source on GitHub

Configure the Athena destination to use in a pipeline.

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

Arguments:

  • query_result_bucket str, optional - S3 bucket to store query results in
  • credentials Union[AwsCredentials, Dict[str, Any], Any], optional - AWS credentials to connect to the Athena database. Can be an instance of AwsCredentials or a dict with AWS credentials
  • athena_work_group str, optional - Athena work group to use
  • aws_data_catalog str, optional - Athena data catalog to use
  • 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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