Struct aws_sdk_quicksight::types::DataSet

#[non_exhaustive]
pub struct DataSet {

    pub arn: Option<String>,
    pub data_set_id: Option<String>,
    pub name: Option<String>,
    pub created_time: Option<DateTime>,
    pub last_updated_time: Option<DateTime>,
    pub physical_table_map: Option<HashMap<String, PhysicalTable>>,
    pub logical_table_map: Option<HashMap<String, LogicalTable>>,
    pub output_columns: Option<Vec<OutputColumn>>,
    pub import_mode: Option<DataSetImportMode>,
    pub consumed_spice_capacity_in_bytes: i64,
    pub column_groups: Option<Vec<ColumnGroup>>,
    pub field_folders: Option<HashMap<String, FieldFolder>>,
    pub row_level_permission_data_set: Option<RowLevelPermissionDataSet>,
    pub row_level_permission_tag_configuration: Option<RowLevelPermissionTagConfiguration>,
    pub column_level_permission_rules: Option<Vec<ColumnLevelPermissionRule>>,
    pub data_set_usage_configuration: Option<DataSetUsageConfiguration>,
    pub dataset_parameters: Option<Vec<DatasetParameter>>,
}

Dataset.

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.

arn: Option<String>

The Amazon Resource Name (ARN) of the resource.

data_set_id: Option<String>

The ID of the dataset.

name: Option<String>

A display name for the dataset.

created_time: Option<DateTime>

The time that this dataset was created.

last_updated_time: Option<DateTime>

The last time that this dataset was updated.

physical_table_map: Option<HashMap<String, PhysicalTable>>

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

logical_table_map: Option<HashMap<String, LogicalTable>>

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

output_columns: Option<Vec<OutputColumn>>

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

import_mode: Option<DataSetImportMode>

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

consumed_spice_capacity_in_bytes: i64

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

column_groups: Option<Vec<ColumnGroup>>

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

field_folders: Option<HashMap<String, FieldFolder>>

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

row_level_permission_data_set: Option<RowLevelPermissionDataSet>

The row-level security configuration for the dataset.

row_level_permission_tag_configuration: Option<RowLevelPermissionTagConfiguration>

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

column_level_permission_rules: Option<Vec<ColumnLevelPermissionRule>>

A set of one or more definitions of a ColumnLevelPermissionRule .

data_set_usage_configuration: Option<DataSetUsageConfiguration>

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

dataset_parameters: Option<Vec<DatasetParameter>>

The parameters that are declared in a dataset.

Implementations

impl DataSet

pub fn arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the resource.

pub fn data_set_id(&self) -> Option<&str>

The ID of the dataset.

pub fn name(&self) -> Option<&str>

A display name for the dataset.

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

The time that this dataset was created.

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

The last time that this dataset was updated.

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

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

pub fn output_columns(&self) -> &[OutputColumn]

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

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

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

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

pub fn consumed_spice_capacity_in_bytes(&self) -> i64

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

pub fn column_groups(&self) -> &[ColumnGroup]

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

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_groups.is_none().

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

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

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

The row-level security configuration for the dataset.

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

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

pub fn column_level_permission_rules(&self) -> &[ColumnLevelPermissionRule]

A set of one or more definitions of a ColumnLevelPermissionRule .

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_level_permission_rules.is_none().

pub fn 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) -> &[DatasetParameter]

The parameters that are declared in a dataset.

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

impl DataSet

pub fn builder() -> DataSetBuilder

Creates a new builder-style object to manufacture DataSet.

Trait Implementations

impl Clone for DataSet

fn clone(&self) -> DataSet

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataSet

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

Formats the value using the given formatter.

impl PartialEq for DataSet

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

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

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 DataSet