Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

# Cuplikan template Amazon DynamoDB
<a name="quickref-dynamodb"></a>

**Topics**
+ [Application Auto Scaling dengan tabel Amazon DynamoDB](#quickref-dynamodb-application-autoscaling)
+ [Lihat juga](#w2aac11c41c39b7)

## Application Auto Scaling dengan tabel Amazon DynamoDB
<a name="quickref-dynamodb-application-autoscaling"></a>

Contoh ini menetapkan Application Auto Scaling untuk sumber daya `AWS::DynamoDB::Table`. Templat tersebut menentukan kebijakan penskalaan `TargetTrackingScaling` yang menaikkan skala throughput `WriteCapacityUnits` untuk tabel.

### JSON
<a name="quickref-dynamodb-example.json"></a>

```
{
    "Resources": {
        "DDBTable": {
            "Type": "AWS::DynamoDB::Table",
            "Properties": {
                "AttributeDefinitions": [
                    {
                        "AttributeName": "ArtistId",
                        "AttributeType": "S"
                    },
                    {
                        "AttributeName": "Concert",
                        "AttributeType": "S"
                    },
                    {
                        "AttributeName": "TicketSales",
                        "AttributeType": "S"
                    }
                ],
                "KeySchema": [
                    {
                        "AttributeName": "ArtistId",
                        "KeyType": "HASH"
                    },
                    {
                        "AttributeName": "Concert",
                        "KeyType": "RANGE"
                    }
                ],
                "GlobalSecondaryIndexes": [
                    {
                        "IndexName": "GSI",
                        "KeySchema": [
                            {
                                "AttributeName": "TicketSales",
                                "KeyType": "HASH"
                            }
                        ],
                        "Projection": {
                            "ProjectionType": "KEYS_ONLY"
                        },
                        "ProvisionedThroughput": {
                            "ReadCapacityUnits": 5,
                            "WriteCapacityUnits": 5
                        }
                    }
                ],
                "ProvisionedThroughput": {
                    "ReadCapacityUnits": 5,
                    "WriteCapacityUnits": 5
                }
            }
        },
        "WriteCapacityScalableTarget": {
            "Type": "AWS::ApplicationAutoScaling::ScalableTarget",
            "Properties": {
                "MaxCapacity": 15,
                "MinCapacity": 5,
                "ResourceId": {
                    "Fn::Join": [
                        "/",
                        [
                            "table",
                            {
                                "Ref": "DDBTable"
                            }
                        ]
                    ]
                },
                "RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/dynamodb.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_DynamoDBTable" },
                "ScalableDimension": "dynamodb:table:WriteCapacityUnits",
                "ServiceNamespace": "dynamodb"
            }
        },
        "WriteScalingPolicy": {
            "Type": "AWS::ApplicationAutoScaling::ScalingPolicy",
            "Properties": {
                "PolicyName": "WriteAutoScalingPolicy",
                "PolicyType": "TargetTrackingScaling",
                "ScalingTargetId": {
                    "Ref": "WriteCapacityScalableTarget"
                },
                "TargetTrackingScalingPolicyConfiguration": {
                    "TargetValue": 50,
                    "ScaleInCooldown": 60,
                    "ScaleOutCooldown": 60,
                    "PredefinedMetricSpecification": {
                        "PredefinedMetricType": "DynamoDBWriteCapacityUtilization"
                    }
                }
            }
        }
    }
}
```

### YAML
<a name="quickref-dynamodb-example.yaml"></a>

```
Resources:
  DDBTable:
    Type: AWS::DynamoDB::Table
    Properties:
      AttributeDefinitions:
        - AttributeName: "ArtistId"
          AttributeType: "S"
        - AttributeName: "Concert"
          AttributeType: "S"
        - AttributeName: "TicketSales"
          AttributeType: "S"
      KeySchema:
        - AttributeName: "ArtistId"
          KeyType: "HASH"
        - AttributeName: "Concert"
          KeyType: "RANGE"
      GlobalSecondaryIndexes:
        - IndexName: "GSI"
          KeySchema:
            - AttributeName: "TicketSales"
              KeyType: "HASH"
          Projection:
            ProjectionType: "KEYS_ONLY"
          ProvisionedThroughput:
            ReadCapacityUnits: 5
            WriteCapacityUnits: 5
      ProvisionedThroughput:
        ReadCapacityUnits: 5
        WriteCapacityUnits: 5
  WriteCapacityScalableTarget:
    Type: AWS::ApplicationAutoScaling::ScalableTarget
    Properties:
      MaxCapacity: 15
      MinCapacity: 5
      ResourceId: !Join
        - /
        - - table
          - !Ref DDBTable
      RoleARN:
        Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/dynamodb.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_DynamoDBTable'
      ScalableDimension: dynamodb:table:WriteCapacityUnits
      ServiceNamespace: dynamodb
  WriteScalingPolicy:
    Type: AWS::ApplicationAutoScaling::ScalingPolicy
    Properties:
      PolicyName: WriteAutoScalingPolicy
      PolicyType: TargetTrackingScaling
      ScalingTargetId: !Ref WriteCapacityScalableTarget
      TargetTrackingScalingPolicyConfiguration:
        TargetValue: 50.0
        ScaleInCooldown: 60
        ScaleOutCooldown: 60
        PredefinedMetricSpecification:
          PredefinedMetricType: DynamoDBWriteCapacityUtilization
```

## Lihat juga
<a name="w2aac11c41c39b7"></a>

Untuk informasi selengkapnya, lihat posting blog [Cara menggunakan CloudFormation untuk mengonfigurasi penskalaan otomatis untuk tabel dan indeks DynamoDB](https://aws.amazon.com/blogs/database/how-to-use-aws-cloudformation-to-configure-auto-scaling-for-amazon-dynamodb-tables-and-indexes/) di Blog Database. AWS 

Untuk informasi selengkapnya tentang sumber daya DynamoDB, lihat. [AWS::DynamoDB::Table](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-dynamodb-table.html)