Struct DataSet

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#[non_exhaustive]
pub struct DataSet {
Show 19 fields 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>>, pub performance_configuration: Option<PerformanceConfiguration>, pub use_as: Option<DataSetUseAs>,
}
Expand description

Dataset.

Fields (Non-exhaustive)§

This struct is marked as 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. Limited to 96 characters.

§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.

§performance_configuration: Option<PerformanceConfiguration>

The performance optimization configuration of a dataset.

§use_as: Option<DataSetUseAs>

The usage of the dataset.

Implementations§

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impl DataSet

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

The Amazon Resource Name (ARN) of the resource.

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

The ID of the dataset. Limited to 96 characters.

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

A display name for the dataset.

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

The time that this dataset was created.

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

The last time that this dataset was updated.

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pub fn 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) -> 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) -> &[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().

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pub fn 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) -> 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) -> &[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().

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pub fn 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, ) -> Option<&RowLevelPermissionDataSet>

The row-level security configuration for the dataset.

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pub fn 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) -> &[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().

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pub fn 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) -> &[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().

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

The performance optimization configuration of a dataset.

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

The usage of the dataset.

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impl DataSet

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pub fn builder() -> DataSetBuilder

Creates a new builder-style object to manufacture DataSet.

Trait Implementations§

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impl Clone for DataSet

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fn clone(&self) -> DataSet

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 DataSet

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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 PartialEq for DataSet

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

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