BatchUpdateDatasetMetadataInner

pydantic model openapi_client.models.batch_update_dataset_metadata_inner.BatchUpdateDatasetMetadataInner

BatchUpdateDatasetMetadataInner

Fields:

• access_type (str | None)

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

• are_ai_services_enabled (openapi_client.models.batch_update_dataset_metadata_inner_are_ai_services_enabled.BatchUpdateDatasetMetadataInnerAreAIServicesEnabled | None)

• checked (bool | 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_conversion_params (Dict[str, Any] | None)

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

• dataset_description (str | None)

• dataset_id (str)

• dataset_name (str | None)

• dataset_schema (List[Dict[str, Any]] | None)

• datasource_type (str | None)

• directory_path (str | None)

• display_name (str | None)

• domain (str | None)

• file_type (str | None)

• global_secondary_indexes (List[openapi_client.models.batch_update_dataset_metadata_inner_global_secondary_indexes_inner.BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner] | None)

• hudi_table_options (openapi_client.models.batch_update_dataset_metadata_inner_hudi_table_options.BatchUpdateDatasetMetadataInnerHudiTableOptions | None)

• iceberg_table_options (openapi_client.models.batch_update_dataset_metadata_inner_iceberg_table_options.BatchUpdateDatasetMetadataInnerIcebergTableOptions | None)

• input_regex (str | None)

• is_active (str | None)

• is_auto_ml_enabled (bool | None)

• is_bda_extraction_enabled (bool | None)

• is_data_cleanup_enabled (openapi_client.models.batch_update_dataset_metadata_inner_is_data_cleanup_enabled.BatchUpdateDatasetMetadataInnerIsDataCleanupEnabled | None)

• is_data_profiling_enabled (openapi_client.models.batch_update_dataset_metadata_inner_is_data_profiling_enabled.BatchUpdateDatasetMetadataInnerIsDataProfilingEnabled | None)

• is_data_validation_enabled (openapi_client.models.batch_update_dataset_metadata_inner_is_data_validation_enabled.BatchUpdateDatasetMetadataInnerIsDataValidationEnabled | None)

• is_delta_lake_table (bool | None)

• is_translate_ai_results_enabled (bool | None)

• keywords (List[str] | None)

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

• partition_projection_config (openapi_client.models.batch_update_dataset_metadata_inner_partition_projection_config.BatchUpdateDatasetMetadataInnerPartitionProjectionConfig | None)

• registration_status (str | None)

• schema_operation (str | None)

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

• skip_file_header (openapi_client.models.batch_update_dataset_metadata_inner_skip_file_header.BatchUpdateDatasetMetadataInnerSkipFileHeader | None)

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

• skip_row_count (openapi_client.models.batch_update_dataset_metadata_inner_skip_row_count.BatchUpdateDatasetMetadataInnerSkipRowCount | None)

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

• table_name (str | None)

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

• table_update (str | None)

• target_location (str | None)

• target_table_prep_mode (str | None)

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

field dataset_id: StrictStr [Required] (alias 'DatasetId')

Constraints:

• strict = True

field dataset_name: Optional[StrictStr] = None (alias 'DatasetName')

field domain: Optional[StrictStr] = None (alias 'Domain')

field file_type: Optional[StrictStr] = None (alias 'FileType')

field is_active: Optional[StrictStr] = None (alias 'IsActive')

field access_type: Optional[StrictStr] = None (alias 'AccessType')

field registration_status: Optional[StrictStr] = None (alias 'RegistrationStatus')

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

field target_location: Optional[StrictStr] = None (alias 'TargetLocation')

field checked: Optional[StrictBool] = None

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

field datasource_type: Optional[StrictStr] = None (alias 'DatasourceType')

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

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

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

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

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

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

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

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

field data_cleanup_duration: Optional[Annotated[int, Field(le=1825, strict=True, ge=1)]] = None (alias 'DataCleanupDuration')

Number of days (1-1825) to retain data when cleanup is enabled.

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

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

Enable auto-translation of AI results to English.

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

field skip_row_count: Optional[BatchUpdateDatasetMetadataInnerSkipRowCount] = None (alias 'SkipRowCount')

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

field skip_trash: Optional[DatasetMetadataSkipFileHeader] = None (alias 'SkipTrash')

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

field data_conversion_params: Optional[Dict[str, Any]] = None (alias 'DataConversionParams')

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

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

Schema update operation to perform.

field dataset_schema: Optional[List[Dict[str, Any]]] = None (alias 'DatasetSchema')

Column definitions for schema operations.

field iceberg_table_options: Optional[BatchUpdateDatasetMetadataInnerIcebergTableOptions] = None (alias 'IcebergTableOptions')

field hudi_table_options: Optional[BatchUpdateDatasetMetadataInnerHudiTableOptions] = None (alias 'HudiTableOptions')

field is_delta_lake_table: Optional[StrictBool] = None (alias 'IsDeltaLakeTable')

Whether this is a Delta Lake table.

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

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

Custom SerDe properties for tables.

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

field input_regex: Optional[StrictStr] = None (alias 'InputRegex')

field partition_projection_config: Optional[BatchUpdateDatasetMetadataInnerPartitionProjectionConfig] = None (alias 'PartitionProjectionConfig')

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

Display name for the dataset.

field directory_path: Optional[StrictStr] = None (alias 'DirectoryPath')

field table_name: Optional[StrictStr] = None (alias 'TableName')

Source database table name for JDBC datasource datasets.

field global_secondary_indexes: Optional[List[BatchUpdateDatasetMetadataInnerGlobalSecondaryIndexesInner]] = None (alias 'GlobalSecondaryIndexes')

Global secondary index definitions for DynamoDB-target datasets.

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 BatchUpdateDatasetMetadataInner 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 BatchUpdateDatasetMetadataInner from a dict

Return type:

Optional[Self]