UpdateDatasetMetadata

pydantic model openapi_client.models.update_dataset_metadata.UpdateDatasetMetadata

UpdateDatasetMetadata

Fields:

• advanced_config (openapi_client.models.advanced_config.AdvancedConfig | None)

• are_ai_services_enabled (openapi_client.models.dataset_metadata_skip_file_header.DatasetMetadataSkipFileHeader | None)

• data_category_config (openapi_client.models.update_dataset_metadata_data_category_config.UpdateDatasetMetadataDataCategoryConfig | None)

• data_classification (List[str] | None)

• data_cleanup_duration (int | None)

• data_metrics_collection_options (openapi_client.models.data_metrics_collection_options.DataMetricsCollectionOptions | None)

• dataset_description (str | None)

• dataset_schema (List[openapi_client.models.column_name_and_type.ColumnNameAndType] | None)

• display_name (str | None)

• is_auto_ml_enabled (bool | None)

• is_bda_extraction_enabled (bool | None)

• is_data_cleanup_enabled (openapi_client.models.dataset_metadata_skip_file_header.DatasetMetadataSkipFileHeader | None)

• is_data_profiling_enabled (openapi_client.models.dataset_metadata_skip_file_header.DatasetMetadataSkipFileHeader | None)

• is_data_validation_enabled (openapi_client.models.dataset_metadata_skip_file_header.DatasetMetadataSkipFileHeader | None)

• is_translate_ai_results_enabled (bool | None)

• keywords (List[str] | None)

• life_cycle_policy_status (str | None)

• life_cycle_rules (openapi_client.models.dataset_life_cycle_rules.DatasetLifeCycleRules | None)

• malware_detection_options (openapi_client.models.malware_detection_options.MalwareDetectionOptions | None)

• schema_operation (str | None)

• serde_properties (Dict[str, str] | None)

• skip_file_header (openapi_client.models.dataset_metadata_skip_file_header.DatasetMetadataSkipFileHeader | None)

• skip_lz_process (openapi_client.models.dataset_metadata_skip_file_header.DatasetMetadataSkipFileHeader | None)

• table_properties (Dict[str, str] | None)

• table_update (str | None)

• target_table_prep_mode (str | None)

• update_schema (str | None)

• update_schema_status (str | None)

field dataset_description: Optional[StrictStr] = None (alias 'DatasetDescription')

field display_name: Optional[StrictStr] = None (alias 'DisplayName')

field data_classification: Optional[List[StrictStr]] = None (alias 'DataClassification')

field keywords: Optional[List[StrictStr]] = None (alias 'Keywords')

field table_update: Optional[StrictStr] = None (alias 'TableUpdate')

field skip_file_header: Optional[DatasetMetadataSkipFileHeader] = None (alias 'SkipFileHeader')

field malware_detection_options: Optional[MalwareDetectionOptions] = None (alias 'MalwareDetectionOptions')

field target_table_prep_mode: Optional[StrictStr] = None (alias 'TargetTablePrepMode')

field is_data_validation_enabled: Optional[DatasetMetadataSkipFileHeader] = None (alias 'IsDataValidationEnabled')

field serde_properties: Optional[Dict[str, StrictStr]] = None (alias 'SerdeProperties')

User-configurable Glue SerDe parameters for s3athena/lf tables.

field table_properties: Optional[Dict[str, StrictStr]] = None (alias 'TableProperties')

User-configurable Glue table parameters (TBLPROPERTIES) for s3athena/lf tables.

field life_cycle_policy_status: Optional[StrictStr] = None (alias 'LifeCyclePolicyStatus')

field life_cycle_rules: Optional[DatasetLifeCycleRules] = None (alias 'LifeCycleRules')

field data_metrics_collection_options: Optional[DataMetricsCollectionOptions] = None (alias 'DataMetricsCollectionOptions')

field advanced_config: Optional[AdvancedConfig] = None (alias 'AdvancedConfig')

field is_data_cleanup_enabled: Optional[DatasetMetadataSkipFileHeader] = None (alias 'IsDataCleanupEnabled')

field is_data_profiling_enabled: Optional[DatasetMetadataSkipFileHeader] = None (alias 'IsDataProfilingEnabled')

field is_auto_ml_enabled: Optional[StrictBool] = None (alias 'IsAutoMLEnabled')

field is_bda_extraction_enabled: Optional[StrictBool] = None (alias 'IsBDAExtractionEnabled')

field skip_lz_process: Optional[DatasetMetadataSkipFileHeader] = None (alias 'SkipLZProcess')

field update_schema: Optional[StrictStr] = None (alias 'UpdateSchema')

field dataset_schema: Optional[List[ColumnNameAndType]] = None (alias 'DatasetSchema')

field data_category_config: Optional[UpdateDatasetMetadataDataCategoryConfig] = None (alias 'DataCategoryConfig')

field data_cleanup_duration: Optional[StrictInt] = None (alias 'DataCleanupDuration')

field are_ai_services_enabled: Optional[DatasetMetadataSkipFileHeader] = None (alias 'AreAIServicesEnabled')

field is_translate_ai_results_enabled: Optional[StrictBool] = None (alias 'IsTranslateAIResultsEnabled')

field update_schema_status: Optional[StrictStr] = None (alias 'UpdateSchemaStatus')

field schema_operation: Optional[StrictStr] = None (alias 'SchemaOperation')

Schema mutation to apply when updating DatasetSchema. Required fields in each DatasetSchema item depend on the operation.

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 UpdateDatasetMetadata 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 UpdateDatasetMetadata from a dict

Return type:

Optional[Self]