# Criptografar classe
<a name="aws-glue-api-pyspark-transforms-Encrypt"></a>

 A transformação `Encrypt` criptografa as colunas de origem usando a chave do AWS Key Management Service. A transformação `Encrypt` pode criptografar até 128 MiB por célula. Ela tentará preservar o formato na decodificação. Para preservar o tipo de dado, os metadados do tipo de dado devem ser serializados para menos de 1 KB. Caso contrário, você deve definir o parâmetro `preserve_data_type` como falso. Os metadados do tipo de dado serão armazenados em texto simples no contexto de criptografia. 

## Exemplo
<a name="pyspark-Encrypt-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
    )
except:
    print("Unexpected Error happened ")
    raise
```

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

 A saída será um PySpark DataFrame com a coluna “id” original e uma coluna adicional contendo os valores criptografados da coluna “telefone”. 

```
```
+---+------------+-------------------------+
| id| phone | phone_encrypted |
+---+------------+-------------------------+
| 1| 1234560000| EncryptedData1234...abc |
| 2| 1234560001| EncryptedData5678...def |
| 3| 1234560002| EncryptedData9012...ghi |
| 4| 1234560003| EncryptedData3456...jkl |
| 5| 1234560004| EncryptedData7890...mno |
| 6| 1234560005| EncryptedData1234...pqr |
| 7| 1234560006| EncryptedData5678...stu |
| 8| 1234560007| EncryptedData9012...vwx |
| 9| 1234560008| EncryptedData3456...yz0 |
| 10| 1234560009| EncryptedData7890...123 |
+---+------------+-------------------------+
```
```

 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 `df\$1encrypt` resultante contém a coluna “d” original, a coluna “telefone” original e uma coluna adicional chamada “telefone\$1criptografado” contendo os valores criptografados da coluna “telefone”. 

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

## \$1\$1call\$1\$1(spark\$1context, data\$1frame, source\$1columns, kms\$1key\$1arn, entity\$1type\$1filter=None, preserve\$1data\$1type=None)
<a name="aws-glue-api-pyspark-transforms-Encrypt-__call__"></a>

 A transformação `Encrypt` criptografa as colunas de origem usando a chave do AWS Key Management Service. 
+ `source_columns`: uma matriz de colunas existentes.
+ `kms_key_arn`: o ARN da chave do AWS Key Management Service a ser usado para criptografar as colunas de origem.
+ `entity_type_filter`: matriz opcional de tipos de entidades. Pode ser usada para criptografar somente as PII detectadas na coluna de texto livre.
+ `preserve_data_type`: booleano opcional. O valor padrão é verdadeiro. Se for falso, o tipo de dado não será armazenado.

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

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