Struct aws_sdk_glue::types::builders::DataQualityResultBuilder

#[non_exhaustive]
pub struct DataQualityResultBuilder { /* private fields */ }

A builder for DataQualityResult.

Implementations

impl DataQualityResultBuilder

pub fn result_id(self, input: impl Into<String>) -> Self

A unique result ID for the data quality result.

pub fn set_result_id(self, input: Option<String>) -> Self

A unique result ID for the data quality result.

pub fn get_result_id(&self) -> &Option<String>

A unique result ID for the data quality result.

pub fn score(self, input: f64) -> Self

An aggregate data quality score. Represents the ratio of rules that passed to the total number of rules.

pub fn set_score(self, input: Option<f64>) -> Self

An aggregate data quality score. Represents the ratio of rules that passed to the total number of rules.

pub fn get_score(&self) -> &Option<f64>

An aggregate data quality score. Represents the ratio of rules that passed to the total number of rules.

pub fn data_source(self, input: DataSource) -> Self

The table associated with the data quality result, if any.

pub fn set_data_source(self, input: Option<DataSource>) -> Self

The table associated with the data quality result, if any.

pub fn get_data_source(&self) -> &Option<DataSource>

The table associated with the data quality result, if any.

pub fn ruleset_name(self, input: impl Into<String>) -> Self

The name of the ruleset associated with the data quality result.

pub fn set_ruleset_name(self, input: Option<String>) -> Self

The name of the ruleset associated with the data quality result.

pub fn get_ruleset_name(&self) -> &Option<String>

The name of the ruleset associated with the data quality result.

pub fn evaluation_context(self, input: impl Into<String>) -> Self

In the context of a job in Glue Studio, each node in the canvas is typically assigned some sort of name and data quality nodes will have names. In the case of multiple nodes, the evaluationContext can differentiate the nodes.

pub fn set_evaluation_context(self, input: Option<String>) -> Self

In the context of a job in Glue Studio, each node in the canvas is typically assigned some sort of name and data quality nodes will have names. In the case of multiple nodes, the evaluationContext can differentiate the nodes.

pub fn get_evaluation_context(&self) -> &Option<String>

In the context of a job in Glue Studio, each node in the canvas is typically assigned some sort of name and data quality nodes will have names. In the case of multiple nodes, the evaluationContext can differentiate the nodes.

pub fn started_on(self, input: DateTime) -> Self

The date and time when this data quality run started.

pub fn set_started_on(self, input: Option<DateTime>) -> Self

The date and time when this data quality run started.

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

The date and time when this data quality run started.

pub fn completed_on(self, input: DateTime) -> Self

The date and time when this data quality run completed.

pub fn set_completed_on(self, input: Option<DateTime>) -> Self

The date and time when this data quality run completed.

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

The date and time when this data quality run completed.

pub fn job_name(self, input: impl Into<String>) -> Self

The job name associated with the data quality result, if any.

pub fn set_job_name(self, input: Option<String>) -> Self

The job name associated with the data quality result, if any.

pub fn get_job_name(&self) -> &Option<String>

The job name associated with the data quality result, if any.

pub fn job_run_id(self, input: impl Into<String>) -> Self

The job run ID associated with the data quality result, if any.

pub fn set_job_run_id(self, input: Option<String>) -> Self

The job run ID associated with the data quality result, if any.

pub fn get_job_run_id(&self) -> &Option<String>

The job run ID associated with the data quality result, if any.

pub fn ruleset_evaluation_run_id(self, input: impl Into<String>) -> Self

The unique run ID for the ruleset evaluation for this data quality result.

pub fn set_ruleset_evaluation_run_id(self, input: Option<String>) -> Self

The unique run ID for the ruleset evaluation for this data quality result.

pub fn get_ruleset_evaluation_run_id(&self) -> &Option<String>

The unique run ID for the ruleset evaluation for this data quality result.

pub fn rule_results(self, input: DataQualityRuleResult) -> Self

Appends an item to rule_results.

To override the contents of this collection use set_rule_results.

A list of DataQualityRuleResult objects representing the results for each rule.

pub fn set_rule_results(self, input: Option<Vec<DataQualityRuleResult>>) -> Self

A list of DataQualityRuleResult objects representing the results for each rule.

pub fn get_rule_results(&self) -> &Option<Vec<DataQualityRuleResult>>

A list of DataQualityRuleResult objects representing the results for each rule.

pub fn analyzer_results(self, input: DataQualityAnalyzerResult) -> Self

Appends an item to analyzer_results.

To override the contents of this collection use set_analyzer_results.

A list of DataQualityAnalyzerResult objects representing the results for each analyzer.

pub fn set_analyzer_results( self, input: Option<Vec<DataQualityAnalyzerResult>>, ) -> Self

A list of DataQualityAnalyzerResult objects representing the results for each analyzer.

pub fn get_analyzer_results(&self) -> &Option<Vec<DataQualityAnalyzerResult>>

A list of DataQualityAnalyzerResult objects representing the results for each analyzer.

pub fn observations(self, input: DataQualityObservation) -> Self

Appends an item to observations.

To override the contents of this collection use set_observations.

A list of DataQualityObservation objects representing the observations generated after evaluating the rules and analyzers.

pub fn set_observations( self, input: Option<Vec<DataQualityObservation>>, ) -> Self

A list of DataQualityObservation objects representing the observations generated after evaluating the rules and analyzers.

pub fn get_observations(&self) -> &Option<Vec<DataQualityObservation>>

A list of DataQualityObservation objects representing the observations generated after evaluating the rules and analyzers.

pub fn build(self) -> DataQualityResult

Consumes the builder and constructs a DataQualityResult.

Trait Implementations

impl Clone for DataQualityResultBuilder

fn clone(&self) -> DataQualityResultBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataQualityResultBuilder

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

Formats the value using the given formatter.

impl Default for DataQualityResultBuilder

fn default() -> DataQualityResultBuilder

Returns the “default value” for a type.

impl PartialEq for DataQualityResultBuilder

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