Frammenti di modello Amazon DynamoDB

Application Auto Scaling con una tabella Amazon DynamoDB

In questo esempio Application Auto Scaling viene configurato per una risorsa AWS::DynamoDB::Table. Il modello definisce una policy di dimensionamento TargetTrackingScaling che aumenta il throughput WriteCapacityUnits della tabella.

{
    "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"
                    }
                }
            }
        }
    }
}

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

Consulta anche

Per ulteriori informazioni, consulta il post How to use CloudFormation to configure auto scaling for DynamoDB tables and indexes nel blog del database AWS.

Per ulteriori informazioni sulle risorse DynamoDB, consulta AWS::DynamoDB::Table.