![]() Verify that there are no trailing spaces in the IAM role used in the UNLOAD command.Verify that the IAM role is associated with your Amazon Redshift cluster.If the database user isn't authorized to assume the IAM role, then check the following: Iam_role 'arn:aws:iam::0123456789:role/redshift_role' Resolution DB user is not authorized to assume the AWS IAM Role error To 's3://testbucket/unload/test_unload_file1' This error might happen when you're trying to run the same UNLOAD command and unloading files in the same folder where data files are already present.įor example, you get this error if you run the following command twice: unload ('select * from test_unload') Consider using a different bucket / prefix, manually removing the target files in S3, or using the ALLOWOVERWRITE option. Specified unload destination on S3 is not empty ERROR: Specified unload destination on S3 is not empty. You can also specify whether a compressed gzip file should be filed. Unload the text data in either a delimited or fixed-width format (regardless of the data format used while being loaded). Note: Use the UNLOAD command with the SELECT statement when unloading data to your S3 bucket. ![]() ![]() When unloading data from your Amazon Redshift cluster to your Amazon S3 bucket, you might encounter the following errors:ĭB user is not authorized to assume the AWS Identity and Access Management (IAM) Role error error: User arn:aws:redshift:us-west-2::dbuser:/ is not authorized to assume IAM Role arn:aws:iam:::role/Ĥ03 Access Denied error (500310) Invalid operation: S3ServiceException:Access Denied,Status 403,Error AccessDenied, ![]()
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