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snowflake.core.warehouse.Warehouse

class snowflake.core.warehouse.Warehouse(*, name: ConstrainedStrValue, warehouse_type: StrictStr | None = None, warehouse_size: StrictStr | None = None, wait_for_completion: StrictStr | None = None, max_cluster_count: StrictInt | None = None, min_cluster_count: StrictInt | None = None, scaling_policy: StrictStr | None = None, auto_suspend: StrictInt | None = None, auto_resume: StrictStr | None = None, initially_suspended: StrictStr | None = None, resource_monitor: ConstrainedStrValue | None = None, comment: StrictStr | None = None, enable_query_acceleration: StrictStr | None = None, query_acceleration_max_scale_factor: StrictInt | None = None, max_concurrency_level: StrictInt | None = None, statement_queued_timeout_in_seconds: StrictInt | None = None, statement_timeout_in_seconds: StrictInt | None = None, tags: Dict[str, StrictStr] | None = None, type: StrictStr | None = None, size: StrictStr | None = None, state: StrictStr | None = None, started_clusters: StrictInt | None = None, running: StrictInt | None = None, queued: StrictInt | None = None, is_default: StrictStr | None = None, is_current: StrictStr | None = None, available: StrictStr | None = None, provisioning: StrictStr | None = None, quiescing: StrictStr | None = None, other: StrictStr | None = None, created_on: datetime | None = None, resumed_on: datetime | None = None, updated_on: datetime | None = None, owner: StrictStr | None = None, kind: StrictStr | None = None, tag: Any | None = None)

Bases: BaseModel

Attributes

name: ConstrainedStrValue
warehouse_type: StrictStr | None
warehouse_size: StrictStr | None
wait_for_completion: StrictStr | None
max_cluster_count: StrictInt | None
min_cluster_count: StrictInt | None
scaling_policy: StrictStr | None
auto_suspend: StrictInt | None
auto_resume: StrictStr | None
initially_suspended: StrictStr | None
resource_monitor: ConstrainedStrValue | None
comment: StrictStr | None
enable_query_acceleration: StrictStr | None
query_acceleration_max_scale_factor: StrictInt | None
max_concurrency_level: StrictInt | None
statement_queued_timeout_in_seconds: StrictInt | None
statement_timeout_in_seconds: StrictInt | None
tags: Dict[str, StrictStr] | None
type: StrictStr | None
size: StrictStr | None
state: StrictStr | None
started_clusters: StrictInt | None
running: StrictInt | None
queued: StrictInt | None
is_default: StrictStr | None
is_current: StrictStr | None
available: StrictStr | None
provisioning: StrictStr | None
quiescing: StrictStr | None
other: StrictStr | None
created_on: datetime | None
resumed_on: datetime | None
updated_on: datetime | None
owner: StrictStr | None
kind: StrictStr | None
tag: Any | 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 auto_resume_validate_enum(v)
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

copy(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, update: DictStrAny | None = None, deep: bool = False) Model

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 enable_query_acceleration_validate_enum(v)
classmethod from_dict(obj: dict) Warehouse

Create an instance of Warehouse from a dict

classmethod from_json(json_str: str) Warehouse

Create an instance of Warehouse from a JSON string

classmethod from_orm(obj: Any) Model
classmethod initially_suspended_validate_enum(v)
classmethod is_current_validate_enum(v)
classmethod is_default_validate_enum(v)
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 resource_monitor_validate_regular_expression(v)
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
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 wait_for_completion_validate_enum(v)