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Amazon Redshift
Database Developer Guide (API Version 2012-12-01)

Step 1. Create an IAM Role for Amazon Redshift

Your cluster needs authorization to access your external data catalog in AWS Glue or Amazon Athena and your data files in Amazon S3. You provide that authorization by referencing an AWS Identity and Access Management (IAM) role that is attached to your cluster. For more information about using roles with Amazon Redshift, see Authorizing COPY and UNLOAD Operations Using IAM Roles.

Note

If you currently have Redshift Spectrum external tables in the Athena data catalog, you can migrate your Athena data catalog to an AWS Glue Data Catalog. To use the AWS Glue Data Catalog with Redshift Spectrum, you might need to change your IAM policies. For more information, see Upgrading to the AWS Glue Data Catalog in the Athena User Guide.

To create an IAM role for Amazon Redshift

  1. Open the IAM Console.

  2. In the navigation pane, choose Roles.

  3. Choose Create role.

  4. Choose AWS service, and then choose Redshift.

  5. Under Select your use case, choose Redshift - Customizable and then choose Next: Permissions.

  6. The Attach permissions policy page appears. Choose AmazonS3ReadOnlyAccess and AWSGlueConsoleFullAccess. Choose Next: Review.

    Note

    The AmazonS3ReadOnlyAccess policy gives your cluster read-only access to all Amazon S3 buckets. To grant access to only the AWS sample data bucket, create a new policy and add the following permissions.

    Copy
    { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:Get*", "s3:List*" ], "Resource": "arn:aws:s3:::awssampledbuswest2/*" } ] }
  7. For Role name, type a name for your role, for example mySpectrumRole.

  8. Review the information, and then choose Create role.

  9. In the navigation pane, choose Roles. Choose the name of your new role to view the summary, and then copy the Role ARN to your clipboard. This value is the Amazon Resource Name (ARN) for the role that you just created. You use that value when you create external tables to reference your data files on Amazon S3.