Struct DataQualityResult 

#[non_exhaustive]
pub struct DataQualityResult {

    pub result_id: Option<String>,
    pub profile_id: Option<String>,
    pub score: Option<f64>,
    pub data_source: Option<DataSource>,
    pub ruleset_name: Option<String>,
    pub evaluation_context: Option<String>,
    pub started_on: Option<DateTime>,
    pub completed_on: Option<DateTime>,
    pub job_name: Option<String>,
    pub job_run_id: Option<String>,
    pub ruleset_evaluation_run_id: Option<String>,
    pub rule_results: Option<Vec<DataQualityRuleResult>>,
    pub analyzer_results: Option<Vec<DataQualityAnalyzerResult>>,
    pub observations: Option<Vec<DataQualityObservation>>,
    pub aggregated_metrics: Option<DataQualityAggregatedMetrics>,
}

Describes a data quality result.

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.

result_id: Option<String>

A unique result ID for the data quality result.

profile_id: Option<String>

The Profile ID for the data quality result.

score: Option<f64>

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

data_source: Option<DataSource>

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

ruleset_name: Option<String>

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

evaluation_context: 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.

started_on: Option<DateTime>

The date and time when this data quality run started.

completed_on: Option<DateTime>

The date and time when this data quality run completed.

job_name: Option<String>

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

job_run_id: Option<String>

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

ruleset_evaluation_run_id: Option<String>

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

rule_results: Option<Vec<DataQualityRuleResult>>

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

analyzer_results: Option<Vec<DataQualityAnalyzerResult>>

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

observations: Option<Vec<DataQualityObservation>>

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

aggregated_metrics: Option<DataQualityAggregatedMetrics>

A summary of DataQualityAggregatedMetrics objects showing the total counts of processed rows and rules, including their pass/fail statistics based on row-level results.

Implementations

impl DataQualityResult

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

A unique result ID for the data quality result.

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

The Profile ID for the data quality result.

pub fn 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) -> Option<&DataSource>

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

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

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

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

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) -> Option<&DateTime>

The date and time when this data quality run started.

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

The date and time when this data quality run completed.

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

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

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

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

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

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

pub fn rule_results(&self) -> &[DataQualityRuleResult]

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

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

pub fn analyzer_results(&self) -> &[DataQualityAnalyzerResult]

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

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

pub fn observations(&self) -> &[DataQualityObservation]

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

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

pub fn aggregated_metrics(&self) -> Option<&DataQualityAggregatedMetrics>

A summary of DataQualityAggregatedMetrics objects showing the total counts of processed rows and rules, including their pass/fail statistics based on row-level results.

impl DataQualityResult

pub fn builder() -> DataQualityResultBuilder

Creates a new builder-style object to manufacture DataQualityResult.

Trait Implementations

impl Clone for DataQualityResult

fn clone(&self) -> DataQualityResult

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataQualityResult

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

Formats the value using the given formatter.

impl PartialEq for DataQualityResult

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