Struct aws_sdk_quicksight::types::AnalysisDefinition

#[non_exhaustive]
pub struct AnalysisDefinition {
    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>,
    pub query_execution_options: Option<QueryExecutionOptions>,
}

The definition of an analysis.

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. This mapping allows the usage of dataset identifiers instead of dataset ARNs throughout analysis sub-structures.

sheets: Option<Vec<SheetDefinition>>

An array of sheet definitions for an analysis. Each SheetDefinition provides detailed information about a sheet within this analysis.

calculated_fields: Option<Vec<CalculatedField>>

An array of calculated field definitions for the analysis.

parameter_declarations: Option<Vec<ParameterDeclaration>>

An array of parameter declarations for an analysis.

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>>

Filter definitions for an analysis.

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

column_configurations: Option<Vec<ColumnConfiguration>>

An array of analysis-level column configurations. Column configurations can be used to set default formatting for a column to be used throughout an analysis.

analysis_defaults: Option<AnalysisDefaults>

The configuration for default analysis settings.

options: Option<AssetOptions>

An array of option definitions for an analysis.

query_execution_options: Option<QueryExecutionOptions>

A structure that describes the query execution options.

Implementations

impl AnalysisDefinition

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

An array of dataset identifier declarations. This mapping allows the usage of dataset identifiers instead of dataset ARNs throughout analysis sub-structures.

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

An array of sheet definitions for an analysis. Each SheetDefinition provides detailed information about a sheet within this analysis.

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 analysis.

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]

An array of parameter declarations for an analysis.

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]

Filter definitions for an analysis.

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 analysis-level column configurations. Column configurations can be used to set default formatting for a column to be used throughout an analysis.

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 an analysis.

pub fn query_execution_options(&self) -> Option<&QueryExecutionOptions>

A structure that describes the query execution options.

impl AnalysisDefinition

pub fn builder() -> AnalysisDefinitionBuilder

Creates a new builder-style object to manufacture AnalysisDefinition.

Trait Implementations

impl Clone for AnalysisDefinition

fn clone(&self) -> AnalysisDefinition

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AnalysisDefinition

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

Formats the value using the given formatter.

impl PartialEq for AnalysisDefinition

fn eq(&self, other: &AnalysisDefinition) -> 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 AnalysisDefinition