OptimizerConfiguration

pydantic model openapi_client.models.optimizer_configuration.OptimizerConfiguration

Request body for POST/PUT /datasets/{id}/optimizers. Configuration shape depends on type (compaction, retention, orphan-file-deletion).

Fields:

• configuration (Dict[str, Any] | None)

• enabled (bool | None)

field enabled: Optional[StrictBool] = None (alias 'Enabled')

Whether the optimizer should be enabled after create/update.

field configuration: Optional[Dict[str, Any]] = None (alias 'Configuration')

Optimizer-specific settings (e.g. Strategy/MinInputFiles for compaction; SnapshotRetentionDays for retention; OrphanFileRetentionDays for orphan-file-deletion).

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of OptimizerConfiguration from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of OptimizerConfiguration from a dict

Return type:

Optional[Self]