snowflake.core.service.JobService¶
- class snowflake.core.service.JobService(*, name: Annotated[str, Strict(strict=True)], status: Annotated[str, Strict(strict=True)] | None = None, compute_pool: Annotated[str, Strict(strict=True)], spec: ServiceSpec, external_access_integrations: List[Annotated[str, Strict(strict=True)]] | None = None, query_warehouse: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True)])] | None = None, comment: Annotated[str, Strict(strict=True)] | None = None)¶
Bases:
BaseModel
A model object representing the JobService resource.
Constructs an object of type JobService with the provided properties.
- Parameters:
name (str) – A Snowflake object identifier.
compute_pool (str) – Specifies the name of the compute pool in your account on which to run the service.
spec (ServiceSpec)
status (str, optional) – The current status of the service.
external_access_integrations (List[str], optional) – Specifies the names of the external access integrations that allow your service to access external sites.
query_warehouse (str, optional) – A Snowflake object identifier.
comment (str, optional) – Specifies a comment for the service.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Methods
- classmethod from_dict(obj: dict) JobService ¶
Create an instance of JobService from a dict.
- classmethod from_json(json_str: str) JobService ¶
Create an instance of JobService from a JSON string.
- to_dict(hide_readonly_properties: bool = False) Dict[str, Any] ¶
Returns the dictionary representation of the model using alias.
- to_dict_without_readonly_properties() Dict[str, Any] ¶
Return the dictionary representation of the model without readonly properties.
- to_json() str ¶
Returns the JSON representation of the model using alias.
- to_str() str ¶
Returns the string representation of the model using alias.