Struct aws_sdk_quicksight::operation::update_data_set::builders::UpdateDataSetFluentBuilder

pub struct UpdateDataSetFluentBuilder { /* private fields */ }

Fluent builder constructing a request to UpdateDataSet.

Updates a dataset. This operation doesn't support datasets that include uploaded files as a source. Partial updates are not supported by this operation.

Implementations

impl UpdateDataSetFluentBuilder

pub async fn customize( self ) -> Result<CustomizableOperation<UpdateDataSet, AwsResponseRetryClassifier>, SdkError<UpdateDataSetError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send( self ) -> Result<UpdateDataSetOutput, SdkError<UpdateDataSetError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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

The Amazon Web Services account ID.

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

The Amazon Web Services account ID.

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

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.

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

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.

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

The display name for the dataset.

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

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 PhysicalTableMap.

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

Adds a key-value pair to LogicalTableMap.

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 import_mode(self, input: DataSetImportMode) -> Self

Indicates whether you want to import the data into SPICE.

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

Indicates whether you want to import the data into SPICE.

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

Appends an item to ColumnGroups.

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

Adds a key-value pair to FieldFolders.

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 row_level_permission_data_set( self, input: RowLevelPermissionDataSet ) -> Self

The row-level security configuration for the data 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 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 column_level_permission_rules( self, input: ColumnLevelPermissionRule ) -> Self

Appends an item to ColumnLevelPermissionRules.

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 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.

Trait Implementations

impl Clone for UpdateDataSetFluentBuilder

fn clone(&self) -> UpdateDataSetFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateDataSetFluentBuilder

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

Formats the value using the given formatter.