ConcurrentDataLoadLimits

pydantic model openapi_client.models.concurrent_data_load_limits.ConcurrentDataLoadLimits

ConcurrentDataLoadLimits

Fields:

• dynamodb (int | None)

• lakeformation (int | None)

• redshift (int | None)

• s3 (int | None)

• s3_athena (int | None)

field s3: Optional[StrictInt] = None (alias 'S3')

Concurrent S3 data-load slots. On PUT, must be within 5%–100% of the S3 cap (scales with account concurrency). Omitted keys are treated as 0 and rejected.

field s3_athena: Optional[StrictInt] = None (alias 'S3Athena')

Concurrent S3Athena data-load slots. On PUT, must be within 5%–100% of the S3Athena cap.

field redshift: Optional[StrictInt] = None (alias 'Redshift')

Concurrent Redshift data-load slots. Present and required on PUT only when DWH is configured.

field lakeformation: Optional[StrictInt] = None (alias 'Lakeformation')

Concurrent Lake Formation data-load slots. On PUT, must be within 5%–100% of the Lake Formation cap.

field dynamodb: Optional[StrictInt] = None (alias 'Dynamodb')

Concurrent DynamoDB data-load slots. On PUT, must be within 5%–100% of the DynamoDB cap.

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 ConcurrentDataLoadLimits 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 ConcurrentDataLoadLimits from a dict

Return type:

Optional[Self]