BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner

pydantic model openapi_client.models.batch_update_dataset_metadata_inner_global_secondary_indexes_inner.BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner

BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner

Fields:

• index_name (str | None)

• non_key_attributes (List[str] | None)

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

• projection_type (str | None)

• sort_key (Dict[str, Any] | None)

field index_name: Optional[StrictStr] = None (alias 'IndexName')

field partition_key: Optional[Dict[str, Any]] = None (alias 'PartitionKey')

field sort_key: Optional[Dict[str, Any]] = None (alias 'SortKey')

field projection_type: Optional[StrictStr] = None (alias 'ProjectionType')

field non_key_attributes: Optional[List[StrictStr]] = None (alias 'NonKeyAttributes')

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 BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner 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 BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner from a dict

Return type:

Optional[Self]