如何使用云编队模板自动调整DynamoDB?

时间:2017-07-10 00:57:24

标签: amazon-web-services amazon-dynamodb amazon-cloudformation

创建DynamoDB CloudFormation模板时,需要指定ProvisionedThroughput:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-dynamodb-table.html#cfn-dynamodb-table-provisionedthroughput

但是我也看到这个文档说当你通过控制台创建一个表时,默认情况下会设置Auto Scaling。

http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ProvisionedThroughput.html#HowItWorks.ProvisionedThroughput.AutoScaling

我的问题是:我是否需要使用Cloudformation来使DynamoDB表自动缩放?

3 个答案:

答案 0 :(得分:6)

使用CloudFormation配置Auto Scaling DynamoDB尚不可用。

CloudFormation不会立即支持AWS服务的新功能。添加支持的时间延迟可能会有所不同,但通常需要几个月。

修改

亚马逊刚刚宣布Target Tracking Policies,这是使用单独的资源类型AWS::ApplicationAutoScaling::ScalingPolicy在CloudFormation中实现的。

您仍然必须使用特定的读写吞吐量配置DynamoDB表,但是分别为读取和其他写入策略配置扩展策略。

亚马逊在其文档中提供了以下示例。

{
  "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::GetAtt": ["ScalingRole", "Arn"]
        },
        "ScalableDimension": "dynamodb:table:WriteCapacityUnits",
        "ServiceNamespace": "dynamodb"
      }
    },
    "ScalingRole": {
      "Type": "AWS::IAM::Role",
      "Properties": {
        "AssumeRolePolicyDocument": {
          "Version": "2012-10-17",
          "Statement": [
            {
              "Effect": "Allow",
              "Principal": {
                "Service": [
                  "application-autoscaling.amazonaws.com"
                ]
              },
              "Action": [
                "sts:AssumeRole"
              ]
            }
          ]
        },
        "Path": "/",
        "Policies": [
          {
            "PolicyName": "root",
            "PolicyDocument": {
              "Version": "2012-10-17",
              "Statement": [
                {
                  "Effect": "Allow",
                  "Action": [
                    "dynamodb:DescribeTable",
                    "dynamodb:UpdateTable",
                    "cloudwatch:PutMetricAlarm",
                    "cloudwatch:DescribeAlarms",
                    "cloudwatch:GetMetricStatistics",
                    "cloudwatch:SetAlarmState",
                    "cloudwatch:DeleteAlarms"
                  ],
                  "Resource": "*"
                }
              ]
            }
          }
        ]
      }
    },
    "WriteScalingPolicy": {
      "Type": "AWS::ApplicationAutoScaling::ScalingPolicy",
      "Properties": {
        "PolicyName": "WriteAutoScalingPolicy",
        "PolicyType": "TargetTrackingScaling",
        "ScalingTargetId": {
          "Ref": "WriteCapacityScalableTarget"
        },
        "TargetTrackingScalingPolicyConfiguration": {
          "TargetValue": 50.0,
          "ScaleInCooldown": 60,
          "ScaleOutCooldown": 60,
          "PredefinedMetricSpecification": {
            "PredefinedMetricType": "DynamoDBWriteCapacityUtilization"
          }
        }
      }
    }
  }
}

答案 1 :(得分:2)

The autoscaling can be done using CloudFormation.

Refer this answer.

答案 2 :(得分:1)

这似乎有效:

"ReadScaling" : {
  "Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
  "Properties" : {
    "MaxCapacity" : "<MAX CAPACITY>,
    "MinCapacity" : "<MIN CAPACITY>,
    "ResourceId" : "table/<TABLE NAME>",
    "RoleARN" : "<IAM ROLE ARN>",
    "ScalableDimension" : "dynamodb:table:ReadCapacityUnits",
    "ServiceNamespace" : "dynamodb"
  }
},

"ReadScalingPolicy" : {
  "Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
  "Properties" : {
    "PolicyName" : "ReadScalingPolicy",
    "PolicyType" : "TargetTrackingScaling",
    "ResourceId" : "table/<TABLE NAME>",
    "ScalableDimension" : "dynamodb:table:ReadCapacityUnits",
    "ServiceNamespace" : "dynamodb",
    "TargetTrackingScalingPolicyConfiguration" : {
      "PredefinedMetricSpecification": {
        "PredefinedMetricType": "DynamoDBReadCapacityUtilization"
      },
      "ScaleInCooldown" : "60",
      "ScaleOutCooldown" : "60",
      "TargetValue" : "70"
    }
  },
  "DependsOn" : "ReadScaling"
},

有关IAM角色的规范

,请参阅 http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.CLI.html