

# Descriptografar classe
<a name="aws-glue-api-pyspark-transforms-Decrypt"></a>

A transformação `Decrypt` é decifrada dentro do AWS Glue. Os dados também podem ser descriptografados fora do AWS Glue com o SDK de criptografia da AWS. Se o ARN da chave KMS fornecida não corresponder ao que foi usado para criptografar a coluna, a operação de descriptografia falhará.

## Exemplo
<a name="pyspark-Decrypt-examples"></a>

```
from pyspark.context import SparkContext
from pyspark.sql import SparkSession
from awsgluedi.transforms import *

kms = "${KMS}"
sc = SparkContext()
spark = SparkSession(sc)

input_df = spark.createDataFrame(
    [
        (1, "1234560000"),
        (2, "1234560001"),
        (3, "1234560002"),
        (4, "1234560003"),
        (5, "1234560004"),
        (6, "1234560005"),
        (7, "1234560006"),
        (8, "1234560007"),
        (9, "1234560008"),
        (10, "1234560009"),
    ],
    ["id", "phone"],
)

try:
    df_encrypt = pii.Encrypt.apply(
        data_frame=input_df,
        spark_context=sc,
        source_columns=["phone"],
        kms_key_arn=kms
    )
    df_decrypt = pii.Decrypt.apply(
        data_frame=df_encrypt,
        spark_context=sc,
        source_columns=["phone"],
        kms_key_arn=kms
    )
    df_decrypt.show()
except:
    print("Unexpected Error happened ")
    raise
```

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

 A saída será um PySpark DataFrame com a coluna "id" original e a coluna "telefone" descriptografada: 

```
```
+---+------------+
| id| phone|
+---+------------+
| 1| 1234560000|
| 2| 1234560001|
| 3| 1234560002|
| 4| 1234560003|
| 5| 1234560004|
| 6| 1234560005|
| 7| 1234560006|
| 8| 1234560007|
| 9| 1234560008|
| 10| 1234560009|
+---+------------+
```
```

 A transformação `Encrypt` usa "source\$1columns" como `["phone"]` e "kms\$1key\$1arn" como o valor da variável de ambiente "\$1 \$1KMS\$1". A transformação criptografa os valores na coluna "telefone" usando a chave KMS especificada. O DataFrame criptografado "df\$1encrypt" é então passado para a transformação `Decrypt` do módulo "awsglue.pii". Ele usa "source\$1columns" como `["telefone"]` e "kms\$1key\$1arn" como o valor da variável de ambiente "\$1 \$1KMS\$1". A transformação descriptografa os valores criptografados na coluna "telefone" usando a mesma chave KMS. O DataFrame "df\$1decrypt" resultante contém a coluna "id" original e a coluna "telefone" descriptografada. 

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

## \$1\$1call\$1\$1(spark\$1context, data\$1frame, source\$1columns, kms\$1key\$1arn)
<a name="aws-glue-api-pyspark-transforms-Decrypt-__call__"></a>

A transformação `Decrypt` é decifrada dentro do AWS Glue. Os dados também podem ser descriptografados fora do AWS Glue com o SDK de criptografia da AWS. Se o ARN da chave KMS fornecida não corresponder ao que foi usado para criptografar a coluna, a operação de descriptografia falhará.
+ `source_columns`: uma matriz de colunas existentes.
+ `kms_key_arn`: o ARN da chave do AWS Key Management Service a ser usado para descriptografar as colunas de origem.

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

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