Struct aws_sdk_quicksight :: operation :: create_data_set :: builders :: CreateDataSetInputBuilder Copy item path

impl CreateDataSetInputBuilder

pub fn aws_account_id(self, input: impl Into<String>) -> Self

The Amazon Web Services account ID.

This field is required.

pub fn set_aws_account_id(self, input: Option<String>) -> Self

The Amazon Web Services account ID.

pub fn get_aws_account_id(&self) -> &Option<String>

The Amazon Web Services account ID.

pub fn data_set_id(self, input: impl Into<String>) -> Self

An ID for the dataset that you want to create. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.

This field is required.

pub fn set_data_set_id(self, input: Option<String>) -> Self

An ID for the dataset that you want to create. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.

pub fn get_data_set_id(&self) -> &Option<String>

An ID for the dataset that you want to create. This ID is unique per Amazon Web Services Region for each Amazon Web Services account.

pub fn name(self, input: impl Into<String>) -> Self

The display name for the dataset.

This field is required.

pub fn set_name(self, input: Option<String>) -> Self

The display name for the dataset.

pub fn get_name(&self) -> &Option<String>

The display name for the dataset.

pub fn physical_table_map(self, k: impl Into<String>, v: PhysicalTable) -> Self

Adds a key-value pair to physical_table_map.

To override the contents of this collection use set_physical_table_map.

Declares the physical tables that are available in the underlying data sources.

pub fn set_physical_table_map( self, input: Option<HashMap<String, PhysicalTable>> ) -> Self

Declares the physical tables that are available in the underlying data sources.

pub fn get_physical_table_map(&self) -> &Option<HashMap<String, PhysicalTable>>

Declares the physical tables that are available in the underlying data sources.

pub fn logical_table_map(self, k: impl Into<String>, v: LogicalTable) -> Self

Adds a key-value pair to logical_table_map.

To override the contents of this collection use set_logical_table_map.

Configures the combination and transformation of the data from the physical tables.

pub fn set_logical_table_map( self, input: Option<HashMap<String, LogicalTable>> ) -> Self

Configures the combination and transformation of the data from the physical tables.

pub fn get_logical_table_map(&self) -> &Option<HashMap<String, LogicalTable>>

Configures the combination and transformation of the data from the physical tables.

pub fn import_mode(self, input: DataSetImportMode) -> Self

Indicates whether you want to import the data into SPICE.

This field is required.

pub fn set_import_mode(self, input: Option<DataSetImportMode>) -> Self

Indicates whether you want to import the data into SPICE.

pub fn get_import_mode(&self) -> &Option<DataSetImportMode>

Indicates whether you want to import the data into SPICE.

pub fn column_groups(self, input: ColumnGroup) -> Self

Appends an item to column_groups.

To override the contents of this collection use set_column_groups.

Groupings of columns that work together in certain Amazon QuickSight features. Currently, only geospatial hierarchy is supported.

pub fn set_column_groups(self, input: Option<Vec<ColumnGroup>>) -> Self

Groupings of columns that work together in certain Amazon QuickSight features. Currently, only geospatial hierarchy is supported.

pub fn get_column_groups(&self) -> &Option<Vec<ColumnGroup>>

Groupings of columns that work together in certain Amazon QuickSight features. Currently, only geospatial hierarchy is supported.

pub fn field_folders(self, k: impl Into<String>, v: FieldFolder) -> Self

Adds a key-value pair to field_folders.

To override the contents of this collection use set_field_folders.

The folder that contains fields and nested subfolders for your dataset.

pub fn set_field_folders( self, input: Option<HashMap<String, FieldFolder>> ) -> Self

The folder that contains fields and nested subfolders for your dataset.

pub fn get_field_folders(&self) -> &Option<HashMap<String, FieldFolder>>

The folder that contains fields and nested subfolders for your dataset.

pub fn permissions(self, input: ResourcePermission) -> Self

Appends an item to permissions.

To override the contents of this collection use set_permissions.

A list of resource permissions on the dataset.

pub fn set_permissions(self, input: Option<Vec<ResourcePermission>>) -> Self

A list of resource permissions on the dataset.

pub fn get_permissions(&self) -> &Option<Vec<ResourcePermission>>

A list of resource permissions on the dataset.

pub fn row_level_permission_data_set( self, input: RowLevelPermissionDataSet ) -> Self

The row-level security configuration for the data that you want to create.

pub fn set_row_level_permission_data_set( self, input: Option<RowLevelPermissionDataSet> ) -> Self

The row-level security configuration for the data that you want to create.

pub fn get_row_level_permission_data_set( &self ) -> &Option<RowLevelPermissionDataSet>

The row-level security configuration for the data that you want to create.

pub fn row_level_permission_tag_configuration( self, input: RowLevelPermissionTagConfiguration ) -> Self

The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only.

pub fn set_row_level_permission_tag_configuration( self, input: Option<RowLevelPermissionTagConfiguration> ) -> Self

The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only.

pub fn get_row_level_permission_tag_configuration( &self ) -> &Option<RowLevelPermissionTagConfiguration>

The configuration of tags on a dataset to set row-level security. Row-level security tags are currently supported for anonymous embedding only.

pub fn column_level_permission_rules( self, input: ColumnLevelPermissionRule ) -> Self

Appends an item to column_level_permission_rules.

To override the contents of this collection use set_column_level_permission_rules.

A set of one or more definitions of a ColumnLevelPermissionRule .

pub fn set_column_level_permission_rules( self, input: Option<Vec<ColumnLevelPermissionRule>> ) -> Self

A set of one or more definitions of a ColumnLevelPermissionRule .

pub fn get_column_level_permission_rules( &self ) -> &Option<Vec<ColumnLevelPermissionRule>>

A set of one or more definitions of a ColumnLevelPermissionRule .

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

Contains a map of the key-value pairs for the resource tag or tags assigned to the dataset.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Contains a map of the key-value pairs for the resource tag or tags assigned to the dataset.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

Contains a map of the key-value pairs for the resource tag or tags assigned to the dataset.

pub fn data_set_usage_configuration( self, input: DataSetUsageConfiguration ) -> Self

The usage configuration to apply to child datasets that reference this dataset as a source.

pub fn set_data_set_usage_configuration( self, input: Option<DataSetUsageConfiguration> ) -> Self

The usage configuration to apply to child datasets that reference this dataset as a source.

pub fn get_data_set_usage_configuration( &self ) -> &Option<DataSetUsageConfiguration>

The usage configuration to apply to child datasets that reference this dataset as a source.

pub fn dataset_parameters(self, input: DatasetParameter) -> Self

Appends an item to dataset_parameters.

To override the contents of this collection use set_dataset_parameters.

The parameter declarations of the dataset.

pub fn set_dataset_parameters( self, input: Option<Vec<DatasetParameter>> ) -> Self

The parameter declarations of the dataset.

pub fn get_dataset_parameters(&self) -> &Option<Vec<DatasetParameter>>

The parameter declarations of the dataset.

pub fn folder_arns(self, input: impl Into<String>) -> Self

Appends an item to folder_arns.

To override the contents of this collection use set_folder_arns.

When you create the dataset, Amazon QuickSight adds the dataset to these folders.

pub fn set_folder_arns(self, input: Option<Vec<String>>) -> Self

When you create the dataset, Amazon QuickSight adds the dataset to these folders.

pub fn get_folder_arns(&self) -> &Option<Vec<String>>

When you create the dataset, Amazon QuickSight adds the dataset to these folders.

pub fn build(self) -> Result<CreateDataSetInput, BuildError>

Consumes the builder and constructs a CreateDataSetInput.

impl CreateDataSetInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<CreateDataSetOutput, SdkError<CreateDataSetError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

impl Clone for CreateDataSetInputBuilder

fn clone(&self) -> CreateDataSetInputBuilder

Returns a copy of the value. Read more

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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

impl Debug for CreateDataSetInputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

impl Default for CreateDataSetInputBuilder

fn default() -> CreateDataSetInputBuilder

Returns the “default value” for a type. Read more

impl PartialEq for CreateDataSetInputBuilder

fn eq(&self, other: &CreateDataSetInputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

1.0.0 · source§

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateDataSetInputBuilder

Auto Trait Implementations§

impl UnwindSafe for CreateDataSetInputBuilder

Blanket Implementations§

impl<T> Any for T
where T: 'static + ?Sized,

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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Immutably borrows from an owned value. Read more

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