DatasourceFlowsUpdateDataflowConfigConsumerConfiguration

pydantic model openapi_client.models.datasource_flows_update_dataflow_config_consumer_configuration.DatasourceFlowsUpdateDataflowConfigConsumerConfiguration

Firehose buffer settings for Streams datasources. Required on Streams update. BufferSize and BufferInterval must both be set when either is provided.

Fields:

• buffer_interval (int | None)

• buffer_size (int | None)

field buffer_size: Optional[StrictInt] = None (alias 'BufferSize')

Firehose buffer size in MiB. Range is 50 to 128 for non-parquet datasets and 64 to 128 for parquet. Default is 50 or 64 by file type.

field buffer_interval: Optional[StrictInt] = None (alias 'BufferInterval')

Firehose buffer interval in seconds. Valid range is 300 to 900. Default is 300.

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 DatasourceFlowsUpdateDataflowConfigConsumerConfiguration 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 DatasourceFlowsUpdateDataflowConfigConsumerConfiguration from a dict

Return type:

Optional[Self]