snowflake.core.compute_pool.ComputePool¶

class snowflake.core.compute_pool.ComputePool(*, name: ConstrainedStrValue, warehouse: ConstrainedStrValue | None = None, min_nodes: StrictInt, max_nodes: StrictInt, instance_family: StrictStr, auto_resume: StrictBool | None = None, comment: StrictStr | None = None, state: StrictStr | None = None, num_services: StrictInt | None = None, auto_suspend_secs: StrictInt | None = None, active_nodes: StrictInt | None = None, idle_nodes: StrictInt | None = None, created_on: datetime | None = None, resumed_on: datetime | None = None, updated_on: datetime | None = None, owner: StrictStr | None = None)¶

Bases: BaseModel

Attributes

name: ConstrainedStrValue¶

warehouse: ConstrainedStrValue | None¶

min_nodes: StrictInt¶

max_nodes: StrictInt¶

instance_family: StrictStr¶

auto_resume: StrictBool | None¶

comment: StrictStr | None¶

state: StrictStr | None¶

num_services: StrictInt | None¶

auto_suspend_secs: StrictInt | None¶

active_nodes: StrictInt | None¶

idle_nodes: StrictInt | None¶

created_on: datetime | None¶

resumed_on: datetime | None¶

updated_on: datetime | None¶

owner: StrictStr | None¶

Methods

__init__(**data: Any) → None¶

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

classmethod construct(_fields_set: SetStr | None = None, **values: Any) → Model¶: Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters:

include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep – set to True to make a deep copy of the model

Returns:

new model instance

dict(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny¶: Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

classmethod from_dict(obj: dict) → ComputePool¶: Create an instance of ComputePool from a dict

classmethod from_json(json_str: str) → ComputePool¶: Create an instance of ComputePool from a JSON string

classmethod from_orm(obj: Any) → Model¶

json(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode¶

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

classmethod name_validate_regular_expression(v)¶

classmethod parse_file(path: str | Path, *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶

classmethod parse_obj(obj: Any) → Model¶

classmethod parse_raw(b: str | bytes, *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶

classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶

classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶

classmethod state_validate_enum(v)¶

to_dict()¶: Returns the dictionary representation of the model using alias

to_json() → str¶: Returns the JSON representation of the model using alias

to_str() → str¶: Returns the string representation of the model using alias

classmethod update_forward_refs(**localns: Any) → None¶: Try to update ForwardRefs on fields based on this Model, globalns and localns.

classmethod validate(value: Any) → Model¶

classmethod warehouse_validate_regular_expression(v)¶