SinkConfig

@sink_config (Decorator)

Declare a SinkConfig which represents a post materialization hook that will be run after offline materialization.

Parameters

• mode: str (Required) The compute mode for the transformation body
• name: Optional[str] = name of function The name of the sink. defaults to name of function.
• secrets: Optional[Dict[str,Union[Secret, str]]] = None A dictionary of Secret references that will be resolved and provided to the transformation function at runtime. During local development and testing, strings may be used instead Secret references.

Returns

An object of type SinkConfig

Example

from tecton import Embedding, batch_feature_view
from tecton.types import String


@sink_config(
    mode = "pandas",
    secrets = {"secret1": Secret(scope='prod', key='my_key')},
)
def sample_sink(df, context):
    ...