AWS-managed (predefined) policies for Amazon Redshift Permissions required to use Redshift Spectrum Permissions required to use the Amazon Redshift console Permissions required to use the Amazon Redshift console query editor Permissions required to use the Amazon Redshift scheduler Permissions required to use the Amazon EventBridge scheduler Resource policies for GetClusterCredentials Customer managed policy examples Example policy for using GetClusterCredentials

Using identity-based policies (IAM policies) for Amazon Redshift

This topic provides examples of identity-based policies in which an account administrator can attach permissions policies to IAM identities (that is, users, groups, and roles).

Important

We recommend that you first review the introductory topics that explain the basic concepts and options available for you to manage access to your Amazon Redshift resources. For more information, see Overview of managing access permissions to your Amazon Redshift resources.

The following shows an example of a permissions policy. The policy allows a user to create, delete, modify, and reboot all clusters, and then denies permission to delete or modify any clusters where the cluster identifier starts with production.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowClusterManagement",
      "Action": [
        "redshift:CreateCluster",
        "redshift:DeleteCluster",
        "redshift:ModifyCluster",
        "redshift:RebootCluster"
      ],
      "Resource": [
        "*"
      ],
      "Effect": "Allow"
    },
    {
      "Sid":"DenyDeleteModifyProtected",
      "Action": [
        "redshift:DeleteCluster",
        "redshift:ModifyCluster"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:cluster:production*"
      ],
      "Effect": "Deny"
    }
  ]
}

The policy has two statements:

The first statement grants permissions for a user to a user to create, delete, modify, and reboot clusters. The statement specifies a wildcard character (*) as the Resource value so that the policy applies to all Amazon Redshift resources owned by the root AWS account.
The second statement denies permission to delete or modify a cluster. The statement specifies a cluster Amazon Resource Name (ARN) for the Resource value that includes a wildcard character (*). As a result, this statement applies to all Amazon Redshift clusters owned by the root AWS account where the cluster identifier begins with production.

AWS-managed (predefined) policies for Amazon Redshift

AWS addresses many common use cases by providing standalone IAM policies that are created and administered by AWS. Managed policies grant necessary permissions for common use cases so you can avoid having to investigate what permissions are needed. For more information, see AWS managed policies in the IAM User Guide.

The following AWS managed policies, which you can attach to users in your account, are specific to Amazon Redshift:

AmazonRedshiftReadOnlyAccess – Grants read-only access to all Amazon Redshift resources for the AWS account.

You can find the AmazonRedshiftReadOnlyAccess policy on the IAM console.
AmazonRedshiftFullAccess – Grants full access to all Amazon Redshift resources for the AWS account.

You can find the AmazonRedshiftFullAccess policy on the IAM console.
AmazonRedshiftQueryEditor – Grants full access to the Query Editor on the Amazon Redshift console.

You can find the AmazonRedshiftQueryEditor policy on the IAM console.
AmazonRedshiftDataFullAccess – Grants full access to the Amazon Redshift Data API operations and resources for the AWS account.

You can find the AmazonRedshiftDataFullAccess policy on the IAM console.

You can also create your own custom IAM policies to allow permissions for Amazon Redshift API actions and resources. You can attach these custom policies to the IAM users or groups that require those permissions.

Amazon Redshift updates to AWS-managed policies

View details about updates to AWS managed policies for Amazon Redshift since this service began tracking these changes. For automatic alerts about changes to this page, subscribe to the RSS feed on the Amazon Redshift Document history page.

Change	Description	Date
AmazonRedshiftDataFullAccess – Update to an existing policy	Amazon Redshift added new permissions to allow `BatchExecuteStatement`.	July 27, 2021
Amazon Redshift started tracking changes	Amazon Redshift started tracking changes for its AWS-managed policies.	July 27, 2021

Permissions required to use Redshift Spectrum

Amazon Redshift Spectrum requires permissions to other AWS services to access resources. For details about permissions in IAM policies for Redshift Spectrum, see IAM policies for Amazon Redshift Spectrum in the Amazon Redshift Database Developer Guide.

Permissions required to use the Amazon Redshift console

For a user to work with the Amazon Redshift console, that user must have a minimum set of permissions that allows the user to describe the Amazon Redshift resources for their AWS account. These permissions must also allow the user to describe other related information, including Amazon EC2 security, Amazon CloudWatch, Amazon SNS, and network information.

If you create an IAM policy that is more restrictive than the minimum required permissions, the console doesn't function as intended for users with that IAM policy. To ensure that those users can still use the Amazon Redshift console, also attach the AmazonRedshiftReadOnlyAccess managed policy to the user. How to do this is described in AWS-managed (predefined) policies for Amazon Redshift.

For information to give a user access to the query editor on the Amazon Redshift console, see Permissions required to use the Amazon Redshift console query editor.

You don't need to allow minimum console permissions for users that are making calls only to the AWS CLI or the Amazon Redshift API.

Permissions required to use the Amazon Redshift console query editor

For a user to work with the Amazon Redshift query editor, that user must have a minimum set of permissions to Amazon Redshift and Amazon Redshift Data API operations. To connect to a database using a secret, you must also have Secrets Manager permissions.

To give a user access to the query editor on the Amazon Redshift console, attach the AmazonRedshiftQueryEditor and AmazonRedshiftReadOnlyAccess AWS-managed policies. The AmazonRedshiftQueryEditor policy allows the user permission to retrieve the results of only their own SQL statements. That is, statements submitted by the same aws:userid as shown in this section of the AmazonRedshiftQueryEditor AWS-managed policy.


{
    "Sid": "DataAPIIAMSessionPermissionsRestriction",
    "Action": [
        "redshift-data:GetStatementResult",
        "redshift-data:CancelStatement",
        "redshift-data:DescribeStatement",
        "redshift-data:ListStatements"
    ],
    "Effect": "Allow",
    "Resource": "*",
    "Condition": {
        "StringEquals": {
            "redshift-data:statement-owner-iam-userid": "${aws:userid}"
        }
    }
}

To allow a user to retrieve the results of SQL statements of others in the same IAM role, create your own policy without the condition to limit access to the current user. Also limit access to change a policy to an administrator.

Permissions required to use the Amazon Redshift scheduler

When you use the Amazon Redshift scheduler, you set up an IAM role with a trust relationship to the Amazon Redshift scheduler (scheduler.redshift.amazonaws.com) to allow the scheduler to assume permissions on your behalf. You also attach a policy (permissions) to the role for the Amazon Redshift API operations that you want to schedule.

The following example shows the policy document in JSON format to set up a trust relationship with the Amazon Redshift scheduler and Amazon Redshift.


{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "Service": [
                    "scheduler.redshift.amazonaws.com",
                    "redshift.amazonaws.com"
                ]
            },
            "Action": "sts:AssumeRole"
        }
    ]
}

For more information about trust entities, see Creating a role to delegate permissions to an AWS service in the IAM User Guide.

You also must add permission for the Amazon Redshift operations you want to schedule.

For the scheduler to use the ResizeCluster operation, add a permission that is similar to the following to your IAM policy. Depending on your environment, you might want to make the policy more restrictive.


{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": "redshift:ResizeCluster",
            "Resource": "*"
        }
    ]
}

For the steps to create a role for the Amazon Redshift scheduler, see Creating a role for an AWS service (console) in the IAM User Guide. Make these choices when you create a role in the IAM console:

For Choose the service that will use this role: Choose Redshift.
For Select your use case: Choose Redshift - Scheduler.
Create or attach a policy to the role that allows an Amazon Redshift operation to be scheduled. Choose Create policy or modify the role to attach a policy. Enter the JSON policy for the operation that is to be scheduled.
After you create the role, edit the Trust Relationship of the IAM role to include the service redshift.amazonaws.com.

The IAM role you create has trusted entities of scheduler.redshift.amazonaws.com and redshift.amazonaws.com. It also has an attached policy that allows a supported Amazon Redshift API action, such as, "redshift:ResizeCluster".

Permissions required to use the Amazon EventBridge scheduler

When you use the Amazon EventBridge scheduler, you set up an IAM role with a trust relationship to the EventBridge scheduler (events.amazonaws.com) to allow the scheduler to assume permissions on your behalf. You also attach a policy (permissions) to the role for the Amazon Redshift Data API operations that you want to schedule and a policy for Amazon EventBridge operations.

You use the EventBridge scheduler when you create scheduled queries with the Amazon Redshift query editor on the console.

You can create an IAM role to run scheduled queries on the IAM console. In this IAM role, attach AmazonEventBridgeFullAccess and AmazonRedshiftDataFullAccess.

The following example shows the policy document in JSON format to set up a trust relationship with the EventBridge scheduler.


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

For more information about trust entities, see Creating a role to delegate permissions to an AWS service in the IAM User Guide.

For the steps to create a role for the EventBridge scheduler, see Creating a role for an AWS service (console) in the IAM User Guide. Make these choices when you create a role in the IAM console:

For Choose the service that will use this role: Choose CloudWatch Events.
For Select your use case: Choose CloudWatch Events.
Attach the following permission policies: AmazonEventBridgeFullAccess and AmazonRedshiftDataFullAccess.

The IAM role that you create has a trusted entity of events.amazonaws.com. It also has an attached policy that allows supported Amazon Redshift Data API actions, such as, "redshift-data:*".

Resource policies for GetClusterCredentials

To connect to a cluster database using a JDBC or ODBC connection with IAM database credentials, or to programmatically call the GetClusterCredentials action, you need a minimum set of permissions. At a minimum, you need permission to call the redshift:GetClusterCredentials action with access to a dbuser resource.

If you use a JDBC or ODBC connection, instead of server and port you can specify cluster_id and region, but to do so your policy must permit the redshift:DescribeClusters action with access to the cluster resource.

If you call GetClusterCredentials with the optional parameters Autocreate, DbGroups, and DbName, you need to also allow the actions and permit access to the resources listed in the following table.

GetClusterCredentials parameter	Action	Resource
Autocreate	redshift:CreateClusterUser	dbuser
DbGroups	redshift:JoinGroup	dbgroup
DbName	NA	dbname

For more information about resources, see Amazon Redshift resources and operations.

You can also include the following conditions in your policy:

redshift:DurationSeconds
redshift:DbName
redshift:DbUser

For more information about conditions, see Specifying conditions in a policy.

Customer managed policy examples

In this section, you can find example user policies that grant permissions for various Amazon Redshift actions. These policies work when you are using the Amazon Redshift API, AWS SDKs, or the AWS CLI.

Note

All examples use the US West (Oregon) Region (us-west-2) and contain fictitious account IDs.

Example 1: Allow user full access to all Amazon Redshift actions and resources

The following policy allows access to all Amazon Redshift actions on all resources.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowRedshift",
      "Action": [
        "redshift:*"
      ],
      "Effect": "Allow",
      "Resource": "*"
    }
  ]
}

The value redshift:* in the Action element indicates all of the actions in Amazon Redshift.

Example 2: Deny a user access to a set of Amazon Redshift actions

By default, all permissions are denied. However, sometimes you need to explicitly deny access to a specific action or set of actions. The following policy allows access to all the Amazon Redshift actions and explicitly denies access to any Amazon Redshift action where the name starts with Delete. This policy applies to all Amazon Redshift resources in us-west-2.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowUSWest2Region",
      "Action": [
        "redshift:*"
      ],
      "Effect": "Allow",
      "Resource": "arn:aws:redshift:us-west-2:*"
    },
   {
     "Sid":"DenyDeleteUSWest2Region",
     "Action": [
        "redshift:Delete*"
      ],
      "Effect": "Deny",
      "Resource": "arn:aws:redshift:us-west-2:*"
   }
  ]
}

Example 3: Allow a user to manage clusters

The following policy allows a user to create, delete, modify, and reboot all clusters, and then denies permission to delete any clusters where the cluster name starts with protected.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowClusterManagement",
      "Action": [
        "redshift:CreateCluster",
        "redshift:DeleteCluster",
        "redshift:ModifyCluster",
        "redshift:RebootCluster"
      ],
      "Resource": [
        "*"
      ],
      "Effect": "Allow"
    },
    {
      "Sid":"DenyDeleteProtected",
      "Action": [
        "redshift:DeleteCluster"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:cluster:protected*"
      ],
      "Effect": "Deny"
    }
  ]
}

Example 4: Allow a user to authorize and revoke snapshot access

The following policy allows a user, for example User A, to do the following:

Authorize access to any snapshot created from a cluster named shared.
Revoke snapshot access for any snapshot created from the shared cluster where the snapshot name starts with revokable.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowSharedSnapshots",
      "Action": [
        "redshift:AuthorizeSnapshotAccess"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:shared/*"
      ],
      "Effect": "Allow"
    },
    {
      "Sid":"AllowRevokableSnapshot",
      "Action": [
        "redshift:RevokeSnapshotAccess"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:snapshot:*/revokable*"
      ],
      "Effect": "Allow"
    }
  ]
}

If User A has allowed User B to access a snapshot, User B must have a policy such as the following to allow User B to restore a cluster from the snapshot. The following policy allows User B to describe and restore from snapshots, and to create clusters. The name of these clusters must start with from-other-account.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowDescribeSnapshots",
      "Action": [
        "redshift:DescribeClusterSnapshots"
      ],
      "Resource": [
        "*"
      ],
      "Effect": "Allow"
    },
    {
      "Sid":"AllowUserRestoreFromSnapshot",
      "Action": [
        "redshift:RestoreFromClusterSnapshot"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:snapshot:*/*",
        "arn:aws:redshift:us-west-2:444455556666:cluster:from-other-account*"
      ],
      "Effect": "Allow"
    }
  ]
}

Example 5: Allow a user to copy a cluster snapshot and restore a cluster from a snapshot

The following policy allows a user to copy any snapshot created from the cluster named big-cluster-1, and restore any snapshot where the snapshot name starts with snapshot-for-restore.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowCopyClusterSnapshot",
      "Action": [
        "redshift:CopyClusterSnapshot"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:snapshot:big-cluster-1/*"
      ],
      "Effect": "Allow"
    },
    {
      "Sid":"AllowRestoreFromClusterSnapshot",
      "Action": [
        "redshift:RestoreFromClusterSnapshot"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:snapshot:*/snapshot-for-restore*",
        "arn:aws:redshift:us-west-2:123456789012:cluster:*"
      ],
      "Effect": "Allow"
    }
  ]
}

The following example policy allows access to all actions and resources for Amazon Redshift, Amazon Simple Notification Service (Amazon SNS), and Amazon CloudWatch. It also allows specified actions on all related Amazon EC2 resources under the account.

Note

Resource-level permissions are not supported for the Amazon EC2 actions that are specified in this example policy.


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid":"AllowRedshift",
      "Effect": "Allow",
      "Action": [
        "redshift:*"
      ],
      "Resource": [
        "*"
      ]
    },
    {
      "Sid":"AllowSNS",
      "Effect": "Allow",
        "Action": [
          "sns:*"
        ],
        "Resource": [
          "*"
        ]
      },
    {
      "Sid":"AllowCloudWatch",
      "Effect": "Allow",
      "Action": [
        "cloudwatch:*"
      ],
      "Resource": [
        "*"
      ]
    },
    {
      "Sid":"AllowEC2Actions",
      "Effect": "Allow",
      "Action": [
        "ec2:AllocateAddress",
        "ec2:AssociateAddress",
        "ec2:AttachNetworkInterface",
        "ec2:DescribeAccountAttributes",
        "ec2:DescribeAddresses",
        "ec2:DescribeAvailabilityZones",
        "ec2:DescribeInternetGateways",
        "ec2:DescribeSecurityGroups",
        "ec2:DescribeSubnets",
        "ec2:DescribeVpcs"
      ],
      "Resource": [
        "*"
      ]
    }
  ]
}

Example 7: Allow a user to tag resources with the Amazon Redshift console

The following example policy allows a user to tag resources with the Amazon Redshift console using the AWS Resource Groups. This policy can be attached to a user role that invokes the new or original Amazon Redshift console. For more information about tagging, see Tagging resources in Amazon Redshift.


{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "Tagging permissions",
            "Effect": "Allow",
            "Action": [
                "redshift:DeleteTags",
                "redshift:CreateTags",
                "redshift:DescribeTags",
                "tag:UntagResources",
                "tag:TagResources"
            ],
            "Resource": "*"
        }
    ]
}

Example policy for using GetClusterCredentials

The following policy uses these sample parameter values:

Region: us-west-2
AWS Account: 123456789012
Cluster name: examplecluster

The following policy enables the GetCredentials, CreateClusterUser, and JoinGroup actions. The policy uses condition keys to allow the GetClusterCredentials and CreateClusterUser actions only when the AWS user ID matches "AIDIODR4TAW7CSEXAMPLE:${redshift:DbUser}@yourdomain.com". IAM access is requested for the "testdb" database only. The policy also allows users to join a group named "common_group".


{
"Version": "2012-10-17",
  "Statement": [
    {
     "Sid": "GetClusterCredsStatement",
      "Effect": "Allow",
      "Action": [
        "redshift:GetClusterCredentials"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:dbuser:examplecluster/${redshift:DbUser}",
        "arn:aws:redshift:us-west-2:123456789012:dbname:examplecluster/testdb",
        "arn:aws:redshift:us-west-2:123456789012:dbgroup:examplecluster/common_group"
      ],
        "Condition": {
            "StringEquals": {
           "aws:userid":"AIDIODR4TAW7CSEXAMPLE:${redshift:DbUser}@yourdomain.com"
                            }
                      }
    },
    {
      "Sid": "CreateClusterUserStatement",
      "Effect": "Allow",
      "Action": [
        "redshift:CreateClusterUser"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:dbuser:examplecluster/${redshift:DbUser}"
      ],
      "Condition": {
        "StringEquals": {
          "aws:userid":"AIDIODR4TAW7CSEXAMPLE:${redshift:DbUser}@yourdomain.com"
        }
      }
    },
    {
      "Sid": "RedshiftJoinGroupStatement",
      "Effect": "Allow",
      "Action": [
        "redshift:JoinGroup"
      ],
      "Resource": [
        "arn:aws:redshift:us-west-2:123456789012:dbgroup:examplecluster/common_group"
      ]
    }
  ]
}
          
 
  }
}

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Document Conventions

Overview of managing access

Amazon Redshift API permissions reference