aws_sdk_quicksight::types::builders

Struct DataSetBuilder

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#[non_exhaustive]
pub struct DataSetBuilder { /* private fields */ }
Expand description

A builder for DataSet.

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impl DataSetBuilder

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

The Amazon Resource Name (ARN) of the resource.

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

The Amazon Resource Name (ARN) of the resource.

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

The Amazon Resource Name (ARN) of the resource.

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

The ID of the dataset. Limited to 96 characters.

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

The ID of the dataset. Limited to 96 characters.

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

The ID of the dataset. Limited to 96 characters.

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

A display name for the dataset.

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

A display name for the dataset.

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

A display name for the dataset.

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pub fn created_time(self, input: DateTime) -> Self

The time that this dataset was created.

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pub fn set_created_time(self, input: Option<DateTime>) -> Self

The time that this dataset was created.

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pub fn get_created_time(&self) -> &Option<DateTime>

The time that this dataset was created.

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pub fn last_updated_time(self, input: DateTime) -> Self

The last time that this dataset was updated.

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pub fn set_last_updated_time(self, input: Option<DateTime>) -> Self

The last time that this dataset was updated.

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pub fn get_last_updated_time(&self) -> &Option<DateTime>

The last time that this dataset was updated.

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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.

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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.

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

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

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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.

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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.

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

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

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pub fn output_columns(self, input: OutputColumn) -> Self

Appends an item to output_columns.

To override the contents of this collection use set_output_columns.

The list of columns after all transforms. These columns are available in templates, analyses, and dashboards.

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pub fn set_output_columns(self, input: Option<Vec<OutputColumn>>) -> Self

The list of columns after all transforms. These columns are available in templates, analyses, and dashboards.

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pub fn get_output_columns(&self) -> &Option<Vec<OutputColumn>>

The list of columns after all transforms. These columns are available in templates, analyses, and dashboards.

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

A value that indicates whether you want to import the data into SPICE.

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

A value that indicates whether you want to import the data into SPICE.

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

A value that indicates whether you want to import the data into SPICE.

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pub fn consumed_spice_capacity_in_bytes(self, input: i64) -> Self

The amount of SPICE capacity used by this dataset. This is 0 if the dataset isn't imported into SPICE.

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pub fn set_consumed_spice_capacity_in_bytes(self, input: Option<i64>) -> Self

The amount of SPICE capacity used by this dataset. This is 0 if the dataset isn't imported into SPICE.

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pub fn get_consumed_spice_capacity_in_bytes(&self) -> &Option<i64>

The amount of SPICE capacity used by this dataset. This is 0 if the dataset isn't imported into SPICE.

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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.

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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.

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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.

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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.

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

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

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

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

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

The row-level security configuration for the dataset.

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

The row-level security configuration for the dataset.

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

The row-level security configuration for the dataset.

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

The element you can use to define tags for row-level security.

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

The element you can use to define tags for row-level security.

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

The element you can use to define tags for row-level security.

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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 .

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

A set of one or more definitions of a ColumnLevelPermissionRule .

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

A set of one or more definitions of a ColumnLevelPermissionRule .

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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.

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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.

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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.

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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 parameters that are declared in a dataset.

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

The parameters that are declared in a dataset.

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

The parameters that are declared in a dataset.

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pub fn performance_configuration(self, input: PerformanceConfiguration) -> Self

The performance optimization configuration of a dataset.

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pub fn set_performance_configuration( self, input: Option<PerformanceConfiguration>, ) -> Self

The performance optimization configuration of a dataset.

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pub fn get_performance_configuration(&self) -> &Option<PerformanceConfiguration>

The performance optimization configuration of a dataset.

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pub fn use_as(self, input: DataSetUseAs) -> Self

The usage of the dataset.

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pub fn set_use_as(self, input: Option<DataSetUseAs>) -> Self

The usage of the dataset.

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pub fn get_use_as(&self) -> &Option<DataSetUseAs>

The usage of the dataset.

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pub fn build(self) -> DataSet

Consumes the builder and constructs a DataSet.

Trait Implementations§

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impl Clone for DataSetBuilder

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fn clone(&self) -> DataSetBuilder

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DataSetBuilder

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

Formats the value using the given formatter. Read more
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impl Default for DataSetBuilder

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fn default() -> DataSetBuilder

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

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

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for DataSetBuilder

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