# EvaluateDataQuality 类
根据 `DynamicFrame` 中的数据评估数据质量规则集，并返回一个包含数据质量评估结果的新 `DynamicFrame`。
## 示例
以下示例代码演示了如何评估 `DynamicFrame` 的数据质量，然后查看数据质量结果。
```
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
```
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}|
+-----------------------+-------+-------------+---------------------------------------+
```
## 方法
+ [\$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)
+ `frame` – 表示您想要评估其数据质量的 `DynamicFrame`。
+ `ruleset` – 字符串格式的数据质量定义语言（DQDL）规则集。要了解有关 DQDL 的更多信息，请参阅[数据质量定义语言（DQDL）引用](dqdl.md)指南。
+ `publishing_options` – 一个字典，用于为发布评估结果和指标指定以下选项：
+ `dataQualityEvaluationContext` – 一个字符串，用于指定 AWS Glue 应在哪个命名空间下发布 Amazon CloudWatch 指标和数据质量结果。汇总指标显示在 CloudWatch 中，而完整结果显示在 AWS Glue Studio 界面中。
+ 必需：否
+ 默认值：`default_context`
+ `enableDataQualityCloudWatchMetrics` – 指定是否应将数据质量评估结果发布到 CloudWatch。您可以使用 `dataQualityEvaluationContext` 选项为指标指定命名空间。
+ 必需：否
+ 默认值：False
+ `enableDataQualityResultsPublishing` – 指定是否应在 AWS Glue Studio 界面的 **Data Quality**（数据质量）选项卡上显示数据质量结果。
+ 必需：否
+ 默认值：true
+ `resultsS3Prefix` – 指定 AWS Glue 可以写入数据质量评估结果的 Amazon S3 位置。
+ 必需：否
+ 默认值：""（空字符串）
## apply(cls, \$1args, \$1\$1kwargs)
继承自 `GlueTransform` [apply](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-apply)。
## name(cls)
继承自 `GlueTransform` [名称](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-name)。
## describeArgs(cls)
继承自 `GlueTransform` [describeArgs](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeArgs)。
## describeReturn(cls)
继承自 `GlueTransform` [describeReturn](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeReturn)。
## describeTransform(cls)
继承自 `GlueTransform` [describeTransform](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeTransform)。
## describeErrors(cls)
继承自 `GlueTransform` [describeErrors](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeErrors)。
## describe(cls)
继承自 `GlueTransform` [describe](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describe)。