Skip to main content
Version: 0.3.25

destinations.impl.athena.factory

athena Objects

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

[view_source]

__init__

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

[view_source]

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 - S3 bucket to store query results in
  • credentials - AWS credentials to connect to the Athena database.
  • athena_work_group - Athena work group to use
  • aws_data_catalog - Athena data catalog to use
  • force_iceberg - Force iceberg tables
  • **kwargs - 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!

DHelp

Ask a question

Welcome to "Codex Central", your next-gen help center, driven by OpenAI's GPT-4 model. It's more than just a forum or a FAQ hub – it's a dynamic knowledge base where coders can find AI-assisted solutions to their pressing problems. With GPT-4's powerful comprehension and predictive abilities, Codex Central provides instantaneous issue resolution, insightful debugging, and personalized guidance. Get your code running smoothly with the unparalleled support at Codex Central - coding help reimagined with AI prowess.