aws-sdk-quicksight 1.134.0

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct UpdateDataSetInput {
    /// <p>The Amazon Web Services account ID.</p>
    pub aws_account_id: ::std::option::Option<::std::string::String>,
    /// <p>The ID for the dataset that you want to update. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.</p>
    pub data_set_id: ::std::option::Option<::std::string::String>,
    /// <p>The display name for the dataset.</p>
    pub name: ::std::option::Option<::std::string::String>,
    /// <p>Declares the physical tables that are available in the underlying data sources.</p>
    pub physical_table_map: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PhysicalTable>>,
    /// <p>Configures the combination and transformation of the data from the physical tables. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub logical_table_map: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::LogicalTable>>,
    /// <p>Indicates whether you want to import the data into SPICE.</p>
    pub import_mode: ::std::option::Option<crate::types::DataSetImportMode>,
    /// <p>Groupings of columns that work together in certain Amazon Quick Sight features. Currently, only geospatial hierarchy is supported.</p>
    pub column_groups: ::std::option::Option<::std::vec::Vec<crate::types::ColumnGroup>>,
    /// <p>The folder that contains fields and nested subfolders for your dataset.</p>
    pub field_folders: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::FieldFolder>>,
    /// <p>The row-level security configuration for the data you want to create. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub row_level_permission_data_set: ::std::option::Option<crate::types::RowLevelPermissionDataSet>,
    /// <p>The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub row_level_permission_tag_configuration: ::std::option::Option<crate::types::RowLevelPermissionTagConfiguration>,
    /// <p>A set of one or more definitions of a <code> <a href="https://docs.aws.amazon.com/quicksight/latest/APIReference/API_ColumnLevelPermissionRule.html">ColumnLevelPermissionRule</a> </code>.</p>
    pub column_level_permission_rules: ::std::option::Option<::std::vec::Vec<crate::types::ColumnLevelPermissionRule>>,
    /// <p>The usage configuration to apply to child datasets that reference this dataset as a source.</p>
    pub data_set_usage_configuration: ::std::option::Option<crate::types::DataSetUsageConfiguration>,
    /// <p>The parameter declarations of the dataset.</p>
    pub dataset_parameters: ::std::option::Option<::std::vec::Vec<crate::types::DatasetParameter>>,
    /// <p>The configuration for the performance optimization of the dataset that contains a <code>UniqueKey</code> configuration.</p>
    pub performance_configuration: ::std::option::Option<crate::types::PerformanceConfiguration>,
    /// <p>The data preparation configuration for the dataset. This configuration defines the source tables, transformation steps, and destination tables used to prepare the data. Required when using the new data preparation experience.</p>
    pub data_prep_configuration: ::std::option::Option<crate::types::DataPrepConfiguration>,
    /// <p>The semantic model configuration for the dataset. This configuration defines how the prepared data is structured for an analysis, including table mappings and row-level security configurations. Required when using the new data preparation experience.</p>
    pub semantic_model_configuration: ::std::option::Option<crate::types::SemanticModelConfiguration>,
}
impl UpdateDataSetInput {
    /// <p>The Amazon Web Services account ID.</p>
    pub fn aws_account_id(&self) -> ::std::option::Option<&str> {
        self.aws_account_id.as_deref()
    }
    /// <p>The ID for the dataset that you want to update. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.</p>
    pub fn data_set_id(&self) -> ::std::option::Option<&str> {
        self.data_set_id.as_deref()
    }
    /// <p>The display name for the dataset.</p>
    pub fn name(&self) -> ::std::option::Option<&str> {
        self.name.as_deref()
    }
    /// <p>Declares the physical tables that are available in the underlying data sources.</p>
    pub fn physical_table_map(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, crate::types::PhysicalTable>> {
        self.physical_table_map.as_ref()
    }
    /// <p>Configures the combination and transformation of the data from the physical tables. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn logical_table_map(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, crate::types::LogicalTable>> {
        self.logical_table_map.as_ref()
    }
    /// <p>Indicates whether you want to import the data into SPICE.</p>
    pub fn import_mode(&self) -> ::std::option::Option<&crate::types::DataSetImportMode> {
        self.import_mode.as_ref()
    }
    /// <p>Groupings of columns that work together in certain Amazon Quick Sight features. Currently, only geospatial hierarchy is supported.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.column_groups.is_none()`.
    pub fn column_groups(&self) -> &[crate::types::ColumnGroup] {
        self.column_groups.as_deref().unwrap_or_default()
    }
    /// <p>The folder that contains fields and nested subfolders for your dataset.</p>
    pub fn field_folders(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, crate::types::FieldFolder>> {
        self.field_folders.as_ref()
    }
    /// <p>The row-level security configuration for the data you want to create. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn row_level_permission_data_set(&self) -> ::std::option::Option<&crate::types::RowLevelPermissionDataSet> {
        self.row_level_permission_data_set.as_ref()
    }
    /// <p>The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn row_level_permission_tag_configuration(&self) -> ::std::option::Option<&crate::types::RowLevelPermissionTagConfiguration> {
        self.row_level_permission_tag_configuration.as_ref()
    }
    /// <p>A set of one or more definitions of a <code> <a href="https://docs.aws.amazon.com/quicksight/latest/APIReference/API_ColumnLevelPermissionRule.html">ColumnLevelPermissionRule</a> </code>.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.column_level_permission_rules.is_none()`.
    pub fn column_level_permission_rules(&self) -> &[crate::types::ColumnLevelPermissionRule] {
        self.column_level_permission_rules.as_deref().unwrap_or_default()
    }
    /// <p>The usage configuration to apply to child datasets that reference this dataset as a source.</p>
    pub fn data_set_usage_configuration(&self) -> ::std::option::Option<&crate::types::DataSetUsageConfiguration> {
        self.data_set_usage_configuration.as_ref()
    }
    /// <p>The parameter declarations of the dataset.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.dataset_parameters.is_none()`.
    pub fn dataset_parameters(&self) -> &[crate::types::DatasetParameter] {
        self.dataset_parameters.as_deref().unwrap_or_default()
    }
    /// <p>The configuration for the performance optimization of the dataset that contains a <code>UniqueKey</code> configuration.</p>
    pub fn performance_configuration(&self) -> ::std::option::Option<&crate::types::PerformanceConfiguration> {
        self.performance_configuration.as_ref()
    }
    /// <p>The data preparation configuration for the dataset. This configuration defines the source tables, transformation steps, and destination tables used to prepare the data. Required when using the new data preparation experience.</p>
    pub fn data_prep_configuration(&self) -> ::std::option::Option<&crate::types::DataPrepConfiguration> {
        self.data_prep_configuration.as_ref()
    }
    /// <p>The semantic model configuration for the dataset. This configuration defines how the prepared data is structured for an analysis, including table mappings and row-level security configurations. Required when using the new data preparation experience.</p>
    pub fn semantic_model_configuration(&self) -> ::std::option::Option<&crate::types::SemanticModelConfiguration> {
        self.semantic_model_configuration.as_ref()
    }
}
impl UpdateDataSetInput {
    /// Creates a new builder-style object to manufacture [`UpdateDataSetInput`](crate::operation::update_data_set::UpdateDataSetInput).
    pub fn builder() -> crate::operation::update_data_set::builders::UpdateDataSetInputBuilder {
        crate::operation::update_data_set::builders::UpdateDataSetInputBuilder::default()
    }
}

/// A builder for [`UpdateDataSetInput`](crate::operation::update_data_set::UpdateDataSetInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct UpdateDataSetInputBuilder {
    pub(crate) aws_account_id: ::std::option::Option<::std::string::String>,
    pub(crate) data_set_id: ::std::option::Option<::std::string::String>,
    pub(crate) name: ::std::option::Option<::std::string::String>,
    pub(crate) physical_table_map: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PhysicalTable>>,
    pub(crate) logical_table_map: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::LogicalTable>>,
    pub(crate) import_mode: ::std::option::Option<crate::types::DataSetImportMode>,
    pub(crate) column_groups: ::std::option::Option<::std::vec::Vec<crate::types::ColumnGroup>>,
    pub(crate) field_folders: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::FieldFolder>>,
    pub(crate) row_level_permission_data_set: ::std::option::Option<crate::types::RowLevelPermissionDataSet>,
    pub(crate) row_level_permission_tag_configuration: ::std::option::Option<crate::types::RowLevelPermissionTagConfiguration>,
    pub(crate) column_level_permission_rules: ::std::option::Option<::std::vec::Vec<crate::types::ColumnLevelPermissionRule>>,
    pub(crate) data_set_usage_configuration: ::std::option::Option<crate::types::DataSetUsageConfiguration>,
    pub(crate) dataset_parameters: ::std::option::Option<::std::vec::Vec<crate::types::DatasetParameter>>,
    pub(crate) performance_configuration: ::std::option::Option<crate::types::PerformanceConfiguration>,
    pub(crate) data_prep_configuration: ::std::option::Option<crate::types::DataPrepConfiguration>,
    pub(crate) semantic_model_configuration: ::std::option::Option<crate::types::SemanticModelConfiguration>,
}
impl UpdateDataSetInputBuilder {
    /// <p>The Amazon Web Services account ID.</p>
    /// This field is required.
    pub fn aws_account_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.aws_account_id = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The Amazon Web Services account ID.</p>
    pub fn set_aws_account_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.aws_account_id = input;
        self
    }
    /// <p>The Amazon Web Services account ID.</p>
    pub fn get_aws_account_id(&self) -> &::std::option::Option<::std::string::String> {
        &self.aws_account_id
    }
    /// <p>The ID for the dataset that you want to update. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.</p>
    /// This field is required.
    pub fn data_set_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.data_set_id = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The ID for the dataset that you want to update. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.</p>
    pub fn set_data_set_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.data_set_id = input;
        self
    }
    /// <p>The ID for the dataset that you want to update. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.</p>
    pub fn get_data_set_id(&self) -> &::std::option::Option<::std::string::String> {
        &self.data_set_id
    }
    /// <p>The display name for the dataset.</p>
    /// This field is required.
    pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.name = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The display name for the dataset.</p>
    pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.name = input;
        self
    }
    /// <p>The display name for the dataset.</p>
    pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
        &self.name
    }
    /// Adds a key-value pair to `physical_table_map`.
    ///
    /// To override the contents of this collection use [`set_physical_table_map`](Self::set_physical_table_map).
    ///
    /// <p>Declares the physical tables that are available in the underlying data sources.</p>
    pub fn physical_table_map(mut self, k: impl ::std::convert::Into<::std::string::String>, v: crate::types::PhysicalTable) -> Self {
        let mut hash_map = self.physical_table_map.unwrap_or_default();
        hash_map.insert(k.into(), v);
        self.physical_table_map = ::std::option::Option::Some(hash_map);
        self
    }
    /// <p>Declares the physical tables that are available in the underlying data sources.</p>
    pub fn set_physical_table_map(
        mut self,
        input: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PhysicalTable>>,
    ) -> Self {
        self.physical_table_map = input;
        self
    }
    /// <p>Declares the physical tables that are available in the underlying data sources.</p>
    pub fn get_physical_table_map(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PhysicalTable>> {
        &self.physical_table_map
    }
    /// Adds a key-value pair to `logical_table_map`.
    ///
    /// To override the contents of this collection use [`set_logical_table_map`](Self::set_logical_table_map).
    ///
    /// <p>Configures the combination and transformation of the data from the physical tables. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn logical_table_map(mut self, k: impl ::std::convert::Into<::std::string::String>, v: crate::types::LogicalTable) -> Self {
        let mut hash_map = self.logical_table_map.unwrap_or_default();
        hash_map.insert(k.into(), v);
        self.logical_table_map = ::std::option::Option::Some(hash_map);
        self
    }
    /// <p>Configures the combination and transformation of the data from the physical tables. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn set_logical_table_map(
        mut self,
        input: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::LogicalTable>>,
    ) -> Self {
        self.logical_table_map = input;
        self
    }
    /// <p>Configures the combination and transformation of the data from the physical tables. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn get_logical_table_map(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::LogicalTable>> {
        &self.logical_table_map
    }
    /// <p>Indicates whether you want to import the data into SPICE.</p>
    /// This field is required.
    pub fn import_mode(mut self, input: crate::types::DataSetImportMode) -> Self {
        self.import_mode = ::std::option::Option::Some(input);
        self
    }
    /// <p>Indicates whether you want to import the data into SPICE.</p>
    pub fn set_import_mode(mut self, input: ::std::option::Option<crate::types::DataSetImportMode>) -> Self {
        self.import_mode = input;
        self
    }
    /// <p>Indicates whether you want to import the data into SPICE.</p>
    pub fn get_import_mode(&self) -> &::std::option::Option<crate::types::DataSetImportMode> {
        &self.import_mode
    }
    /// Appends an item to `column_groups`.
    ///
    /// To override the contents of this collection use [`set_column_groups`](Self::set_column_groups).
    ///
    /// <p>Groupings of columns that work together in certain Amazon Quick Sight features. Currently, only geospatial hierarchy is supported.</p>
    pub fn column_groups(mut self, input: crate::types::ColumnGroup) -> Self {
        let mut v = self.column_groups.unwrap_or_default();
        v.push(input);
        self.column_groups = ::std::option::Option::Some(v);
        self
    }
    /// <p>Groupings of columns that work together in certain Amazon Quick Sight features. Currently, only geospatial hierarchy is supported.</p>
    pub fn set_column_groups(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ColumnGroup>>) -> Self {
        self.column_groups = input;
        self
    }
    /// <p>Groupings of columns that work together in certain Amazon Quick Sight features. Currently, only geospatial hierarchy is supported.</p>
    pub fn get_column_groups(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ColumnGroup>> {
        &self.column_groups
    }
    /// Adds a key-value pair to `field_folders`.
    ///
    /// To override the contents of this collection use [`set_field_folders`](Self::set_field_folders).
    ///
    /// <p>The folder that contains fields and nested subfolders for your dataset.</p>
    pub fn field_folders(mut self, k: impl ::std::convert::Into<::std::string::String>, v: crate::types::FieldFolder) -> Self {
        let mut hash_map = self.field_folders.unwrap_or_default();
        hash_map.insert(k.into(), v);
        self.field_folders = ::std::option::Option::Some(hash_map);
        self
    }
    /// <p>The folder that contains fields and nested subfolders for your dataset.</p>
    pub fn set_field_folders(
        mut self,
        input: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::FieldFolder>>,
    ) -> Self {
        self.field_folders = input;
        self
    }
    /// <p>The folder that contains fields and nested subfolders for your dataset.</p>
    pub fn get_field_folders(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::FieldFolder>> {
        &self.field_folders
    }
    /// <p>The row-level security configuration for the data you want to create. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn row_level_permission_data_set(mut self, input: crate::types::RowLevelPermissionDataSet) -> Self {
        self.row_level_permission_data_set = ::std::option::Option::Some(input);
        self
    }
    /// <p>The row-level security configuration for the data you want to create. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn set_row_level_permission_data_set(mut self, input: ::std::option::Option<crate::types::RowLevelPermissionDataSet>) -> Self {
        self.row_level_permission_data_set = input;
        self
    }
    /// <p>The row-level security configuration for the data you want to create. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn get_row_level_permission_data_set(&self) -> &::std::option::Option<crate::types::RowLevelPermissionDataSet> {
        &self.row_level_permission_data_set
    }
    /// <p>The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn row_level_permission_tag_configuration(mut self, input: crate::types::RowLevelPermissionTagConfiguration) -> Self {
        self.row_level_permission_tag_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn set_row_level_permission_tag_configuration(
        mut self,
        input: ::std::option::Option<crate::types::RowLevelPermissionTagConfiguration>,
    ) -> Self {
        self.row_level_permission_tag_configuration = input;
        self
    }
    /// <p>The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only. This parameter is used with the legacy data preparation experience.</p>
    #[deprecated(note = "Only used in the legacy data preparation experience.", since = "2025-10-23")]
    pub fn get_row_level_permission_tag_configuration(&self) -> &::std::option::Option<crate::types::RowLevelPermissionTagConfiguration> {
        &self.row_level_permission_tag_configuration
    }
    /// Appends an item to `column_level_permission_rules`.
    ///
    /// To override the contents of this collection use [`set_column_level_permission_rules`](Self::set_column_level_permission_rules).
    ///
    /// <p>A set of one or more definitions of a <code> <a href="https://docs.aws.amazon.com/quicksight/latest/APIReference/API_ColumnLevelPermissionRule.html">ColumnLevelPermissionRule</a> </code>.</p>
    pub fn column_level_permission_rules(mut self, input: crate::types::ColumnLevelPermissionRule) -> Self {
        let mut v = self.column_level_permission_rules.unwrap_or_default();
        v.push(input);
        self.column_level_permission_rules = ::std::option::Option::Some(v);
        self
    }
    /// <p>A set of one or more definitions of a <code> <a href="https://docs.aws.amazon.com/quicksight/latest/APIReference/API_ColumnLevelPermissionRule.html">ColumnLevelPermissionRule</a> </code>.</p>
    pub fn set_column_level_permission_rules(
        mut self,
        input: ::std::option::Option<::std::vec::Vec<crate::types::ColumnLevelPermissionRule>>,
    ) -> Self {
        self.column_level_permission_rules = input;
        self
    }
    /// <p>A set of one or more definitions of a <code> <a href="https://docs.aws.amazon.com/quicksight/latest/APIReference/API_ColumnLevelPermissionRule.html">ColumnLevelPermissionRule</a> </code>.</p>
    pub fn get_column_level_permission_rules(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ColumnLevelPermissionRule>> {
        &self.column_level_permission_rules
    }
    /// <p>The usage configuration to apply to child datasets that reference this dataset as a source.</p>
    pub fn data_set_usage_configuration(mut self, input: crate::types::DataSetUsageConfiguration) -> Self {
        self.data_set_usage_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>The usage configuration to apply to child datasets that reference this dataset as a source.</p>
    pub fn set_data_set_usage_configuration(mut self, input: ::std::option::Option<crate::types::DataSetUsageConfiguration>) -> Self {
        self.data_set_usage_configuration = input;
        self
    }
    /// <p>The usage configuration to apply to child datasets that reference this dataset as a source.</p>
    pub fn get_data_set_usage_configuration(&self) -> &::std::option::Option<crate::types::DataSetUsageConfiguration> {
        &self.data_set_usage_configuration
    }
    /// Appends an item to `dataset_parameters`.
    ///
    /// To override the contents of this collection use [`set_dataset_parameters`](Self::set_dataset_parameters).
    ///
    /// <p>The parameter declarations of the dataset.</p>
    pub fn dataset_parameters(mut self, input: crate::types::DatasetParameter) -> Self {
        let mut v = self.dataset_parameters.unwrap_or_default();
        v.push(input);
        self.dataset_parameters = ::std::option::Option::Some(v);
        self
    }
    /// <p>The parameter declarations of the dataset.</p>
    pub fn set_dataset_parameters(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::DatasetParameter>>) -> Self {
        self.dataset_parameters = input;
        self
    }
    /// <p>The parameter declarations of the dataset.</p>
    pub fn get_dataset_parameters(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::DatasetParameter>> {
        &self.dataset_parameters
    }
    /// <p>The configuration for the performance optimization of the dataset that contains a <code>UniqueKey</code> configuration.</p>
    pub fn performance_configuration(mut self, input: crate::types::PerformanceConfiguration) -> Self {
        self.performance_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>The configuration for the performance optimization of the dataset that contains a <code>UniqueKey</code> configuration.</p>
    pub fn set_performance_configuration(mut self, input: ::std::option::Option<crate::types::PerformanceConfiguration>) -> Self {
        self.performance_configuration = input;
        self
    }
    /// <p>The configuration for the performance optimization of the dataset that contains a <code>UniqueKey</code> configuration.</p>
    pub fn get_performance_configuration(&self) -> &::std::option::Option<crate::types::PerformanceConfiguration> {
        &self.performance_configuration
    }
    /// <p>The data preparation configuration for the dataset. This configuration defines the source tables, transformation steps, and destination tables used to prepare the data. Required when using the new data preparation experience.</p>
    pub fn data_prep_configuration(mut self, input: crate::types::DataPrepConfiguration) -> Self {
        self.data_prep_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>The data preparation configuration for the dataset. This configuration defines the source tables, transformation steps, and destination tables used to prepare the data. Required when using the new data preparation experience.</p>
    pub fn set_data_prep_configuration(mut self, input: ::std::option::Option<crate::types::DataPrepConfiguration>) -> Self {
        self.data_prep_configuration = input;
        self
    }
    /// <p>The data preparation configuration for the dataset. This configuration defines the source tables, transformation steps, and destination tables used to prepare the data. Required when using the new data preparation experience.</p>
    pub fn get_data_prep_configuration(&self) -> &::std::option::Option<crate::types::DataPrepConfiguration> {
        &self.data_prep_configuration
    }
    /// <p>The semantic model configuration for the dataset. This configuration defines how the prepared data is structured for an analysis, including table mappings and row-level security configurations. Required when using the new data preparation experience.</p>
    pub fn semantic_model_configuration(mut self, input: crate::types::SemanticModelConfiguration) -> Self {
        self.semantic_model_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>The semantic model configuration for the dataset. This configuration defines how the prepared data is structured for an analysis, including table mappings and row-level security configurations. Required when using the new data preparation experience.</p>
    pub fn set_semantic_model_configuration(mut self, input: ::std::option::Option<crate::types::SemanticModelConfiguration>) -> Self {
        self.semantic_model_configuration = input;
        self
    }
    /// <p>The semantic model configuration for the dataset. This configuration defines how the prepared data is structured for an analysis, including table mappings and row-level security configurations. Required when using the new data preparation experience.</p>
    pub fn get_semantic_model_configuration(&self) -> &::std::option::Option<crate::types::SemanticModelConfiguration> {
        &self.semantic_model_configuration
    }
    /// Consumes the builder and constructs a [`UpdateDataSetInput`](crate::operation::update_data_set::UpdateDataSetInput).
    pub fn build(
        self,
    ) -> ::std::result::Result<crate::operation::update_data_set::UpdateDataSetInput, ::aws_smithy_types::error::operation::BuildError> {
        ::std::result::Result::Ok(crate::operation::update_data_set::UpdateDataSetInput {
            aws_account_id: self.aws_account_id,
            data_set_id: self.data_set_id,
            name: self.name,
            physical_table_map: self.physical_table_map,
            logical_table_map: self.logical_table_map,
            import_mode: self.import_mode,
            column_groups: self.column_groups,
            field_folders: self.field_folders,
            row_level_permission_data_set: self.row_level_permission_data_set,
            row_level_permission_tag_configuration: self.row_level_permission_tag_configuration,
            column_level_permission_rules: self.column_level_permission_rules,
            data_set_usage_configuration: self.data_set_usage_configuration,
            dataset_parameters: self.dataset_parameters,
            performance_configuration: self.performance_configuration,
            data_prep_configuration: self.data_prep_configuration,
            semantic_model_configuration: self.semantic_model_configuration,
        })
    }
}