# Classe EvaluateDataQuality
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality"></a>

Avalia um conjunto de regras de qualidade de dados em relação a um `DynamicFrame` e retorna um novo `DynamicFrame` com os resultados da avaliação.

## Exemplo
<a name="pyspark-EvaluateDataQuality-example"></a>

O código de exemplo a seguir demonstra como avaliar a qualidade dos dados para um `DynamicFrame` e, em seguida, visualizar os resultados de qualidade dos dados. 

```
from awsglue.transforms import *
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsgluedq.transforms import EvaluateDataQuality

#Create Glue context
sc = SparkContext.getOrCreate()
glueContext = GlueContext(sc)

# Define DynamicFrame
legislatorsAreas = glueContext.create_dynamic_frame.from_catalog(
    database="legislators", table_name="areas_json")

# Create data quality ruleset
ruleset = """Rules = [ColumnExists "id", IsComplete "id"]"""

# Evaluate data quality
dqResults = EvaluateDataQuality.apply(
    frame=legislatorsAreas,
    ruleset=ruleset,
    publishing_options={
        "dataQualityEvaluationContext": "legislatorsAreas",
        "enableDataQualityCloudWatchMetrics": True,
        "enableDataQualityResultsPublishing": True,
        "resultsS3Prefix": "amzn-s3-demo-bucket1",
    },
)


# Inspect data quality results
dqResults.printSchema()
dqResults.toDF().show()
```

### Output
<a name="pyspark-EvaluateDataQuality-example-output"></a>

```
root
|-- Rule: string
|-- Outcome: string
|-- FailureReason: string
|-- EvaluatedMetrics: map
|    |-- keyType: string
|    |-- valueType: double


+-----------------------+-------+-------------+---------------------------------------+
|Rule                   |Outcome|FailureReason|EvaluatedMetrics                       |
+-----------------------+-------+-------------+---------------------------------------+
|ColumnExists "id"      |Passed |null         |{}                                     |
|IsComplete "id"        |Passed |null         |{Column.first_name.Completeness -> 1.0}|
+-----------------------+-------+-------------+---------------------------------------+
```

## Métodos
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-_methods"></a>
+ [\$1\$1call\$1\$1](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-__call__)
+ [apply](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-apply)
+ [name](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-name)
+ [describeArgs](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeArgs)
+ [describeReturn](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeReturn)
+ [describeTransform](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeTransform)
+ [describeErrors](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeErrors)
+ [describe](#aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describe)

## \$1\$1call\$1\$1(frame, ruleset, publishing\$1options = \$1\$1)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-__call__"></a>
+ `frame`: o `DynamicFrame` cuja qualidade de dados você deseja avaliar.
+ `ruleset`: um conjunto de regras em Data Quality Definition Language (DQDL) no formato de string. Para saber mais sobre DQDL, consulte o guia de [Referência de Data Quality Definition Language (DQDL)](dqdl.md).
+ `publishing_options`: um dicionário que especifica as seguintes opções para publicar resultados e métricas de avaliação:
  + `dataQualityEvaluationContext`: uma string que especifica o namespace com o qual o AWS Glue deve publicar as métricas e os resultados de qualidade dos dados do Amazon CloudWatch. As métricas agregadas aparecem no CloudWatch, enquanto os resultados completos aparecem na interface do AWS Glue Studio.
    + Obrigatório: não
    + Valor padrão: `default_context`
  + `enableDataQualityCloudWatchMetrics`: especifica se os resultados da avaliação de qualidade dos dados devem ser publicados no CloudWatch. Você especifica um namespace para as métricas usando a opção `dataQualityEvaluationContext`.
    + Obrigatório: não
    + Valor padrão: False
  + `enableDataQualityResultsPublishing`: especifica se os resultados de qualidade dos dados devem estar visíveis na guia **Data Quality** (Qualidade de dados) na interface do AWS Glue Studio.
    + Obrigatório: não
    + Valor padrão: true
  + `resultsS3Prefix`: especifica o local no Amazon S3 em que o AWS Glue pode gravar os resultados da avaliação de qualidade dos dados.
    + Obrigatório: não
    + Valor padrão: "" (string vazia)

## aplicar(cls, \$1args, \$1\$1kwargs)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-apply"></a>

Herdado de `GlueTransform` [apply](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-apply).

## name(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-name"></a>

Herdado de `GlueTransform` [nome](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-name).

## describeArgs(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeArgs"></a>

Herdado de `GlueTransform` [describeArgs](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeArgs).

## describeReturn(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeReturn"></a>

Herdado de `GlueTransform` [describeReturn](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeReturn).

## describeTransform(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeTransform"></a>

Herdado de `GlueTransform` [describeTransform](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeTransform).

## describeErrors(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describeErrors"></a>

Herdado de `GlueTransform` [describeErrors](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeErrors).

## describe(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality-describe"></a>

Herdado de `GlueTransform` [describe](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describe).