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ErrorDetails

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If the CreateBucketMetadataTableConfiguration request succeeds, but S3 Metadata was unable to create the table, this structure contains the error code and error message.

Contents

ErrorCode

If the CreateBucketMetadataTableConfiguration request succeeds, but S3 Metadata was unable to create the table, this structure contains the error code. The possible error codes and error messages are as follows:

• AccessDeniedCreatingResources - You don't have sufficient permissions to create the required resources. Make sure that you have s3tables:CreateNamespace, s3tables:CreateTable, s3tables:GetTable and s3tables:PutTablePolicy permissions, and then try again. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• AccessDeniedWritingToTable - Unable to write to the metadata table because of missing resource permissions. To fix the resource policy, Amazon S3 needs to create a new metadata table. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• DestinationTableNotFound - The destination table doesn't exist. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• ServerInternalError - An internal error has occurred. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• TableAlreadyExists - The table that you specified already exists in the table bucket's namespace. Specify a different table name. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• TableBucketNotFound - The table bucket that you specified doesn't exist in this AWS Region and account. Create or choose a different table bucket. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

Type: String

Required: No

ErrorMessage

If the CreateBucketMetadataTableConfiguration request succeeds, but S3 Metadata was unable to create the table, this structure contains the error message. The possible error codes and error messages are as follows:

• AccessDeniedCreatingResources - You don't have sufficient permissions to create the required resources. Make sure that you have s3tables:CreateNamespace, s3tables:CreateTable, s3tables:GetTable and s3tables:PutTablePolicy permissions, and then try again. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• AccessDeniedWritingToTable - Unable to write to the metadata table because of missing resource permissions. To fix the resource policy, Amazon S3 needs to create a new metadata table. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• DestinationTableNotFound - The destination table doesn't exist. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• ServerInternalError - An internal error has occurred. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• TableAlreadyExists - The table that you specified already exists in the table bucket's namespace. Specify a different table name. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

• TableBucketNotFound - The table bucket that you specified doesn't exist in this AWS Region and account. Create or choose a different table bucket. To create a new metadata table, you must delete the metadata configuration for this bucket, and then create a new metadata configuration.

Type: String

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

• AWS SDK for C++

• AWS SDK for Java V2

• AWS SDK for Ruby V3