Service role policies for Amazon AppFlow - Amazon AppFlow
Allow Amazon AppFlow to access the AWS Glue Data CatalogAllow Amazon AppFlow to access Amazon Redshift databases with the Data APIAllow Amazon Redshift to access your Amazon AppFlow data in Amazon S3

Service role policies for Amazon AppFlow

A service role is an IAM role that a service assumes to perform actions on your behalf. An IAM administrator can create, modify, and delete a service role from within IAM. For more information, see Create a role to delegate permissions to an AWS service in the IAM User Guide.

Warning

Changing the permissions for a service role might break Amazon AppFlow functionality. Edit service roles only when Amazon AppFlow provides guidance to do so.

Allow Amazon AppFlow to access the AWS Glue Data Catalog

Before you can create a flow that catalogs its output data in the AWS Glue Data Catalog, you must grant Amazon AppFlow the required permissions. Amazon AppFlow requires permissions to create Data Catalog tables, databases, and partitions. To grant the required permissions, you provide an IAM role that contains the following permissions policy and trust policy. You provide this role to Amazon AppFlow in the settings for your flows.

Example permissions policy
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "VisualEditor0",
      "Effect": "Allow",
      "Action": [
        "glue:BatchCreatePartition",
        "glue:CreatePartitionIndex",
        "glue:DeleteDatabase",
        "glue:GetTableVersions",
        "glue:GetPartitions",
        "glue:BatchDeletePartition",
        "glue:DeleteTableVersion",
        "glue:UpdateTable",
        "glue:DeleteTable",
        "glue:DeletePartitionIndex",
        "glue:GetTableVersion",
        "glue:CreatePartition",
        "glue:UntagResource",
        "glue:UpdatePartition",
        "glue:TagResource",
        "glue:UpdateDatabase",
        "glue:CreateTable",
        "glue:BatchUpdatePartition",
        "glue:GetTables",
        "glue:BatchGetPartition",
        "glue:GetDatabases",
        "glue:GetPartitionIndexes",
        "glue:GetTable",
        "glue:GetDatabase",
        "glue:GetPartition",
        "glue:CreateDatabase",
        "glue:BatchDeleteTableVersion",
        "glue:BatchDeleteTable",
        "glue:DeletePartition"
      ],
      "Resource": "*"
    }
  ]
}
Example trust policy
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal":
      {
        "Service": "appflow.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}

Allow Amazon AppFlow to access Amazon Redshift databases with the Data API

Before you can create a flow that transfers data to an Amazon Redshift database by using the Amazon Redshift Data API, you must grant Amazon AppFlow the required permissions. Amazon AppFlow requires permissions to do the following with your Amazon Redshift database:

  • Gain access through temporary credentials

  • Run SQL statements

To grant those permissions, you create an IAM role that contains the permissions policy and trust policy below. You provide this role to Amazon AppFlow in the settings for your Amazon Redshift connections.

Example permissions policy
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "DataAPIPermissions",
      "Effect": "Allow",
      "Action": [
        "redshift-data:ExecuteStatement",
        "redshift-data:GetStatementResult",
        "redshift-data:DescribeStatement"
      ],
      "Resource": "*"
    },
    {
      "Sid": "GetCredentialsForAPIUser",
      "Effect": "Allow",
      "Action": "redshift:GetClusterCredentials",
      "Resource": [
        "arn:aws:redshift:*:*:dbname:*/*",
        "arn:aws:redshift:*:*:dbuser:*/*"
      ]
    },
    {
      "Sid": "GetCredentialsForServerless",
      "Effect": "Allow",
      "Action": "redshift-serverless:GetCredentials",
      "Resource": "*",
      "Condition":
      {
        "StringLike":
        {
          "aws:ResourceTag/RedshiftDataFullAccess": "*"
        }
      }
    },
    {
      "Sid": "DenyCreateAPIUser",
      "Effect": "Deny",
      "Action": "redshift:CreateClusterUser",
      "Resource": [
        "arn:aws:redshift:*:*:dbuser:*/*"
      ]
    },
    {
      "Sid": "ServiceLinkedRole",
      "Effect": "Allow",
      "Action": "iam:CreateServiceLinkedRole",
      "Resource": "arn:aws:iam::*:role/aws-service-role/redshift-data.amazonaws.com/AWSServiceRoleForRedshift",
      "Condition":
      {
        "StringLike":
        {
          "iam:AWSServiceName": "redshift-data.amazonaws.com"
        }
      }
    }
  ]
}
Tag condition for Amazon Redshift Serverless resources

In the example permissions policy, the statement that grants the redshift-serverless:GetCredentials action has the following condition block: 

"Condition":
{
  "StringLike":
  {
    "aws:ResourceTag/RedshiftDataFullAccess": "*"
  }
}

In IAM policies, condition is an optional element that specifies conditions for when a policy is in effect. With this condition block, the policy allows Amazon AppFlow to get temporary credentials for only those Amazon Redshift Serverless resources that meet the condition. To meet the condition, the resources must be tagged with the key RedshiftDataFullAccess. Therefore, to use this policy, you must apply that tag to the appropriate workgroup.

For more information about tagging resources in Amazon Redshift Serverless, see Tagging resources overview in the Amazon Redshift Management Guide.

Example trust policy
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal":
      {
        "Service": "appflow.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}

For more information about authorizing access to the Data API, see Authorizing access to the Amazon Redshift Data API in the Amazon Redshift Management Guide.

Allow Amazon Redshift to access your Amazon AppFlow data in Amazon S3

When you run a flow that transfers data to an Amazon Redshift database, Amazon AppFlow first stores the data in an S3 bucket that you provide. Then, Amazon Redshift gets the data from the S3 bucket. For the flow to run successfully, you must authorize Amazon Redshift to get and decrypt the data. To grant those permission, you create an IAM role that contains the permissions policies and trust policy below.

You provide the IAM role in the settings when you create an Amazon Redshift connection in Amazon AppFlow.

You must also associate the role with the Amazon Redshift cluster that receives the data that you transfer with Amazon AppFlow. For the steps to associate the role, see Associating IAM roles with clusters in the Amazon Redshift Management Guide.

Example permissions policies

To provide the required permissions to Amazon Redshift, you can attach the following permissions policies to the IAM role:

  • The AWS managed policy AmazonS3ReadOnlyAccess. This policy is owned and maintained by AWS. It grants read-only access to Amazon S3. To view the permissions for this policy, see AmazonS3ReadOnlyAccess in the AWS Management Console.

  • A policy that permits Amazon Redshift to decrypt the encrypted data that Amazon AppFlow stores in Amazon S3, such as the following example:

    {
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "kms:Decrypt",
      "Resource": "*"
    }
  ]
}
Example trust policy
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal":
      {
        "Service": "redshift.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}