Struct TopicColumn

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#[non_exhaustive]
pub struct TopicColumn {
Show 17 fields pub column_name: String, pub column_friendly_name: Option<String>, pub column_description: Option<String>, pub column_synonyms: Option<Vec<String>>, pub column_data_role: Option<ColumnDataRole>, pub aggregation: Option<DefaultAggregation>, pub is_included_in_topic: bool, pub disable_indexing: Option<bool>, pub comparative_order: Option<ComparativeOrder>, pub semantic_type: Option<SemanticType>, pub time_granularity: Option<TopicTimeGranularity>, pub allowed_aggregations: Option<Vec<AuthorSpecifiedAggregation>>, pub not_allowed_aggregations: Option<Vec<AuthorSpecifiedAggregation>>, pub default_formatting: Option<DefaultFormatting>, pub never_aggregate_in_filter: bool, pub cell_value_synonyms: Option<Vec<CellValueSynonym>>, pub non_additive: Option<bool>,
}
Expand description

Represents a column in a 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.
§column_name: String

The name of the column.

§column_friendly_name: Option<String>

A user-friendly name for the column.

§column_description: Option<String>

A description of the column and its contents.

§column_synonyms: Option<Vec<String>>

The other names or aliases for the column.

§column_data_role: Option<ColumnDataRole>

The role of the column in the data. Valid values are DIMENSION and MEASURE.

§aggregation: Option<DefaultAggregation>

The type of aggregation that is performed on the column data when it's queried.

§is_included_in_topic: bool

A Boolean value that indicates whether the column is included in the query results.

§disable_indexing: Option<bool>

A Boolean value that indicates whether the column shows in the autocomplete functionality.

§comparative_order: Option<ComparativeOrder>

The order in which data is displayed for the column when it's used in a comparative context.

§semantic_type: Option<SemanticType>

The semantic type of data contained in the column.

§time_granularity: Option<TopicTimeGranularity>

The level of time precision that is used to aggregate DateTime values.

§allowed_aggregations: Option<Vec<AuthorSpecifiedAggregation>>

The list of aggregation types that are allowed for the column. Valid values for this structure are COUNT, DISTINCT_COUNT, MIN, MAX, MEDIAN, SUM, AVERAGE, STDEV, STDEVP, VAR, VARP, and PERCENTILE.

§not_allowed_aggregations: Option<Vec<AuthorSpecifiedAggregation>>

The list of aggregation types that are not allowed for the column. Valid values for this structure are COUNT, DISTINCT_COUNT, MIN, MAX, MEDIAN, SUM, AVERAGE, STDEV, STDEVP, VAR, VARP, and PERCENTILE.

§default_formatting: Option<DefaultFormatting>

The default formatting used for values in the column.

§never_aggregate_in_filter: bool

A Boolean value that indicates whether to aggregate the column data when it's used in a filter context.

§cell_value_synonyms: Option<Vec<CellValueSynonym>>

The other names or aliases for the column cell value.

§non_additive: Option<bool>

The non additive value for the column.

Implementations§

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impl TopicColumn

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pub fn column_name(&self) -> &str

The name of the column.

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

A user-friendly name for the column.

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

A description of the column and its contents.

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pub fn column_synonyms(&self) -> &[String]

The other names or aliases for the column.

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_synonyms.is_none().

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pub fn column_data_role(&self) -> Option<&ColumnDataRole>

The role of the column in the data. Valid values are DIMENSION and MEASURE.

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pub fn aggregation(&self) -> Option<&DefaultAggregation>

The type of aggregation that is performed on the column data when it's queried.

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pub fn is_included_in_topic(&self) -> bool

A Boolean value that indicates whether the column is included in the query results.

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pub fn disable_indexing(&self) -> Option<bool>

A Boolean value that indicates whether the column shows in the autocomplete functionality.

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pub fn comparative_order(&self) -> Option<&ComparativeOrder>

The order in which data is displayed for the column when it's used in a comparative context.

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pub fn semantic_type(&self) -> Option<&SemanticType>

The semantic type of data contained in the column.

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pub fn time_granularity(&self) -> Option<&TopicTimeGranularity>

The level of time precision that is used to aggregate DateTime values.

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pub fn allowed_aggregations(&self) -> &[AuthorSpecifiedAggregation]

The list of aggregation types that are allowed for the column. Valid values for this structure are COUNT, DISTINCT_COUNT, MIN, MAX, MEDIAN, SUM, AVERAGE, STDEV, STDEVP, VAR, VARP, and PERCENTILE.

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

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pub fn not_allowed_aggregations(&self) -> &[AuthorSpecifiedAggregation]

The list of aggregation types that are not allowed for the column. Valid values for this structure are COUNT, DISTINCT_COUNT, MIN, MAX, MEDIAN, SUM, AVERAGE, STDEV, STDEVP, VAR, VARP, and PERCENTILE.

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

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pub fn default_formatting(&self) -> Option<&DefaultFormatting>

The default formatting used for values in the column.

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pub fn never_aggregate_in_filter(&self) -> bool

A Boolean value that indicates whether to aggregate the column data when it's used in a filter context.

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pub fn cell_value_synonyms(&self) -> &[CellValueSynonym]

The other names or aliases for the column cell value.

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

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pub fn non_additive(&self) -> Option<bool>

The non additive value for the column.

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impl TopicColumn

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pub fn builder() -> TopicColumnBuilder

Creates a new builder-style object to manufacture TopicColumn.

Trait Implementations§

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impl Clone for TopicColumn

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fn clone(&self) -> TopicColumn

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

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

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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 TopicColumn

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

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

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