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# AWS Glue PySpark mengubah referensi
<a name="aws-glue-programming-python-transforms"></a>

AWS Glue menyediakan transformasi bawaan berikut yang dapat Anda gunakan dalam operasi PySpark ETL. Data Anda berpindah dari transformasi ke transformasi dalam struktur data yang disebut a *DynamicFrame*, yang merupakan ekstensi ke Apache Spark SQL. `DataFrame` `DynamicFrame` tersebut berisi data Anda, dan Anda me-referensi skemanya untuk memproses data Anda. 

Sebagian besar transformasi ini juga ada sebagai metode `DynamicFrame` kelas. Untuk informasi lebih lanjut, lihat [DynamicFrame transformasi](aws-glue-api-crawler-pyspark-extensions-dynamic-frame.md#aws-glue-api-crawler-pyspark-extensions-dynamic-frame-_transforms).
+ [GlueTransform kelas dasar](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md)
+ [ApplyMapping kelas](aws-glue-api-crawler-pyspark-transforms-ApplyMapping.md)
+ [DropFields kelas](aws-glue-api-crawler-pyspark-transforms-DropFields.md)
+ [DropNullFields kelas](aws-glue-api-crawler-pyspark-transforms-DropNullFields.md)
+ [ErrorsAsDynamicFrame kelas](aws-glue-api-crawler-pyspark-transforms-ErrorsAsDynamicFrame.md)
+ [EvaluateDataQuality kelas](aws-glue-api-crawler-pyspark-transforms-EvaluateDataQuality.md)
+ [FillMissingValues kelas](aws-glue-api-crawler-pyspark-transforms-fillmissingvalues.md)
+ [Kelas filter](aws-glue-api-crawler-pyspark-transforms-filter.md)
+ [FindIncrementalMatches kelas](aws-glue-api-crawler-pyspark-transforms-findincrementalmatches.md)
+ [FindMatches kelas](aws-glue-api-crawler-pyspark-transforms-findmatches.md)
+ [FlatMap kelas](aws-glue-api-crawler-pyspark-transforms-flat-map.md)
+ [Bergabunglah dengan kelas](aws-glue-api-crawler-pyspark-transforms-join.md)
+ [Kelas peta](aws-glue-api-crawler-pyspark-transforms-map.md)
+ [MapToCollection kelas](aws-glue-api-crawler-pyspark-transforms-MapToCollection.md)
+ [mergeDynamicFrame](aws-glue-api-crawler-pyspark-extensions-dynamic-frame.md#aws-glue-api-crawler-pyspark-extensions-dynamic-frame-merge)
+ [Relationalisasi kelas](aws-glue-api-crawler-pyspark-transforms-Relationalize.md)
+ [RenameField kelas](aws-glue-api-crawler-pyspark-transforms-RenameField.md)
+ [ResolveChoice kelas](aws-glue-api-crawler-pyspark-transforms-ResolveChoice.md)
+ [SelectFields kelas](aws-glue-api-crawler-pyspark-transforms-SelectFields.md)
+ [SelectFromCollection kelas](aws-glue-api-crawler-pyspark-transforms-SelectFromCollection.md)
+ [Kelas Simplify\_DDB\_JSON](aws-glue-api-crawler-pyspark-transforms-simplify-ddb-json.md)
+ [Kelas keran](aws-glue-api-crawler-pyspark-transforms-spigot.md)
+ [SplitFields kelas](aws-glue-api-crawler-pyspark-transforms-SplitFields.md)
+ [SplitRows kelas](aws-glue-api-crawler-pyspark-transforms-SplitRows.md)
+ [Kelas buka kotak](aws-glue-api-crawler-pyspark-transforms-Unbox.md)
+ [UnnestFrame kelas](aws-glue-api-crawler-pyspark-transforms-UnnestFrame.md)

## Integrasi data berubah
<a name="aws-glue-programming-python-di-transforms"></a>

 Untuk AWS Glue 4.0 dan di atasnya, buat atau perbarui argumen pekerjaan dengan`key: --enable-glue-di-transforms, value: true`. 

 Contoh skrip pekerjaan: 

```
from pyspark.context import SparkContext
        
from awsgluedi.transforms import *
sc = SparkContext()

input_df = spark.createDataFrame(
    [(5,), (0,), (-1,), (2,), (None,)],
    ["source_column"],
)

try:
    df_output = math_functions.IsEven.apply(
        data_frame=input_df,
        spark_context=sc,
        source_column="source_column",
        target_column="target_column",
        value=None,
        true_string="Even",
        false_string="Not even",
    )
    df_output.show()   
except:
    print("Unexpected Error happened ")
    raise
```

 Contoh Sesi menggunakan Notebook 

```
%idle_timeout 2880
%glue_version 4.0
%worker_type G.1X
%number_of_workers 5
%region eu-west-1
```

```
%%configure
{
    "--enable-glue-di-transforms": "true"
}
```

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

sc = SparkContext()

input_df = spark.createDataFrame(
    [(5,), (0,), (-1,), (2,), (None,)],
    ["source_column"],
)

try:
    df_output = math_functions.IsEven.apply(
        data_frame=input_df,
        spark_context=sc,
        source_column="source_column",
        target_column="target_column",
        value=None,
        true_string="Even",
        false_string="Not even",
    )
    df_output.show()    
except:
    print("Unexpected Error happened ")
    raise
```

 Contoh Sesi menggunakan AWS CLI 

```
aws glue create-session --default-arguments "--enable-glue-di-transforms=true"
```

 DI mengubah: 
+  [FlagDuplicatesInColumn kelas](aws-glue-api-pyspark-transforms-FlagDuplicatesInColumn.md) 
+  [FormatPhoneNumber kelas](aws-glue-api-pyspark-transforms-FormatPhoneNumber.md) 
+  [FormatCase kelas](aws-glue-api-pyspark-transforms-FormatCase.md) 
+  [FillWithMode kelas](aws-glue-api-pyspark-transforms-FillWithMode.md) 
+  [FlagDuplicateRows kelas](aws-glue-api-pyspark-transforms-FlagDuplicateRows.md) 
+  [RemoveDuplicates kelas](aws-glue-api-pyspark-transforms-RemoveDuplicates.md) 
+  [MonthName kelas](aws-glue-api-pyspark-transforms-MonthName.md) 
+  [IsEven kelas](aws-glue-api-pyspark-transforms-IsEven.md) 
+  [CryptographicHash kelas](aws-glue-api-pyspark-transforms-CryptographicHash.md) 
+  [Dekripsi kelas](aws-glue-api-pyspark-transforms-Decrypt.md) 
+  [Enkripsi kelas](aws-glue-api-pyspark-transforms-Encrypt.md) 
+  [IntToIp kelas](aws-glue-api-pyspark-transforms-IntToIp.md) 
+  [IpToInt kelas](aws-glue-api-pyspark-transforms-IpToInt.md) 

### Maven: Bundel plugin dengan aplikasi Spark Anda
<a name="aws-glue-programming-python-di-transforms-maven"></a>

 Anda dapat menggabungkan dependensi transformasi dengan aplikasi Spark dan distribusi Spark Anda (versi 3.3) dengan menambahkan ketergantungan plugin di `pom.xml` Maven Anda sambil mengembangkan aplikasi Spark Anda secara lokal. 

```
<repositories>
   ...
    <repository>
        <id>aws-glue-etl-artifacts</id>
        <url>https://aws-glue-etl-artifacts.s3.amazonaws.com/release/ </url>
    </repository>
</repositories>
...
<dependency>
    <groupId>com.amazonaws</groupId>
    <artifactId>AWSGlueTransforms</artifactId>
    <version>4.0.0</version>
</dependency>
```

 Anda dapat mengunduh binari dari artefak AWS Glue Maven secara langsung dan memasukkannya ke dalam aplikasi Spark Anda sebagai berikut. 

```
#!/bin/bash
sudo wget -v https://aws-glue-etl-artifacts.s3.amazonaws.com/release/com/amazonaws/AWSGlueTransforms/4.0.0/AWSGlueTransforms-4.0.0.jar -P /usr/lib/spark/jars/
```