Struct aws_sdk_quicksight::types::DashboardVersionDefinition

#[non_exhaustive]
pub struct DashboardVersionDefinition {
    pub data_set_identifier_declarations: Vec<DataSetIdentifierDeclaration>,
    pub sheets: Option<Vec<SheetDefinition>>,
    pub calculated_fields: Option<Vec<CalculatedField>>,
    pub parameter_declarations: Option<Vec<ParameterDeclaration>>,
    pub filter_groups: Option<Vec<FilterGroup>>,
    pub column_configurations: Option<Vec<ColumnConfiguration>>,
    pub analysis_defaults: Option<AnalysisDefaults>,
    pub options: Option<AssetOptions>,
}

The contents of a dashboard.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

data_set_identifier_declarations: Vec<DataSetIdentifierDeclaration>

An array of dataset identifier declarations. With this mapping,you can use dataset identifiers instead of dataset Amazon Resource Names (ARNs) throughout the dashboard's sub-structures.

sheets: Option<Vec<SheetDefinition>>

An array of sheet definitions for a dashboard.

calculated_fields: Option<Vec<CalculatedField>>

An array of calculated field definitions for the dashboard.

parameter_declarations: Option<Vec<ParameterDeclaration>>

The parameter declarations for a dashboard. Parameters are named variables that can transfer a value for use by an action or an object.

For more information, see Parameters in Amazon QuickSight in the Amazon QuickSight User Guide.

filter_groups: Option<Vec<FilterGroup>>

The filter definitions for a dashboard.

For more information, see Filtering Data in Amazon QuickSight in the Amazon QuickSight User Guide.

column_configurations: Option<Vec<ColumnConfiguration>>

An array of dashboard-level column configurations. Column configurations are used to set the default formatting for a column that is used throughout a dashboard.

analysis_defaults: Option<AnalysisDefaults>

The configuration for default analysis settings.

options: Option<AssetOptions>

An array of option definitions for a dashboard.

Implementations

impl DashboardVersionDefinition

pub fn data_set_identifier_declarations( &self, ) -> &[DataSetIdentifierDeclaration]

An array of dataset identifier declarations. With this mapping,you can use dataset identifiers instead of dataset Amazon Resource Names (ARNs) throughout the dashboard's sub-structures.

pub fn sheets(&self) -> &[SheetDefinition]

An array of sheet definitions for a dashboard.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .sheets.is_none().

pub fn calculated_fields(&self) -> &[CalculatedField]

An array of calculated field definitions for the dashboard.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .calculated_fields.is_none().

pub fn parameter_declarations(&self) -> &[ParameterDeclaration]

The parameter declarations for a dashboard. Parameters are named variables that can transfer a value for use by an action or an object.

For more information, see Parameters in Amazon QuickSight in the Amazon QuickSight User Guide.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .parameter_declarations.is_none().

pub fn filter_groups(&self) -> &[FilterGroup]

The filter definitions for a dashboard.

For more information, see Filtering Data in Amazon QuickSight in the Amazon QuickSight User Guide.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .filter_groups.is_none().

pub fn column_configurations(&self) -> &[ColumnConfiguration]

An array of dashboard-level column configurations. Column configurations are used to set the default formatting for a column that is used throughout a dashboard.

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_configurations.is_none().

pub fn analysis_defaults(&self) -> Option<&AnalysisDefaults>

The configuration for default analysis settings.

pub fn options(&self) -> Option<&AssetOptions>

An array of option definitions for a dashboard.

impl DashboardVersionDefinition

pub fn builder() -> DashboardVersionDefinitionBuilder

Creates a new builder-style object to manufacture DashboardVersionDefinition.

Trait Implementations

impl Clone for DashboardVersionDefinition

fn clone(&self) -> DashboardVersionDefinition

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DashboardVersionDefinition

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

Formats the value using the given formatter.

impl PartialEq for DashboardVersionDefinition

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for DashboardVersionDefinition