SQL Server Direct to S3 bucket Object Lock

Greeting

Hi DataCourt,

Thanks for reaching out and sharing the detailed context of your issue. It's clear that you're encountering challenges when using a direct connection from SQL Server to an S3 bucket with Object Lock enabled, while Storage Gateway works seamlessly in the same scenario. Let’s dive in and break this down to identify a solution that works for your setup. 👍

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Clarifying the Issue

From your description, it seems that SQL Server is struggling to commit block lists directly to an S3 bucket when Object Lock is active. The error you’ve shared, particularly Msg 3065 and Storage Errorcode 87, strongly indicates that the Object Lock feature might be incompatible with how SQL Server handles direct block storage commits. Your admin's suggestion about a potential missing header could be on point, as S3 Object Lock enforces additional constraints that may require special handling during the API interaction.

The goal here is to determine if direct SQL Server-to-S3 backups can work without disabling Object Lock or relying solely on Storage Gateway, and to pinpoint any specific configurations or headers needed. Additionally, we’ll explore why the Storage Gateway succeeds in this scenario and how it differs from direct SQL Server interactions with S3.

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Key Terms

• S3 Object Lock: A feature in S3 that allows you to place WORM (Write Once Read Many) protections on your objects, ensuring data immutability for compliance.
• SQL Server BACKUP Command: The method SQL Server uses to write database backups to external storage locations, including S3.
• API Headers: Metadata sent with requests to S3, which may require customization for compatibility with Object Lock.
• Storage Gateway: An AWS service that acts as a bridge between on-premises applications and cloud storage, abstracting complexities like Object Lock handling.

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The Solution (Our Recipe)

Steps at a Glance:

1. Verify SQL Server’s S3 API call and log details for missing headers.
2. Configure S3 bucket policies to allow direct backups with Object Lock.
3. Use Amazon SDKs or custom middleware to enhance direct API calls, if needed.
4. Validate the setup and test SQL Server backups incrementally.
5. Consider Storage Gateway as a fallback solution.

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Step-by-Step Guide:

1. Verify SQL Server’s S3 API call and log details for missing headers:
   Use tools like Wireshark, SQL Server’s diagnostic logs, or Postman to inspect the exact headers sent during the backup operation. Look for any discrepancies related to Object Lock, such as missing x-amz-object-lock-mode or x-amz-object-lock-retain-until-date. Use AWS CLI to test basic put-object commands to validate header requirements.
   Example:

   aws s3api put-object --bucket MyObjectLockedBucketAddress \
   --key MyDatabaseBackup.bak \
   --body ./backup.bak \
   --object-lock-mode COMPLIANCE \
   --object-lock-retain-until-date 2025-01-01T00:00:00Z

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2. Configure S3 bucket policies to allow direct backups with Object Lock:
   Check the bucket’s IAM policy to ensure SQL Server’s access role has permissions for Object Lock operations. A sample policy snippet:

   {
       "Effect": "Allow",
       "Action": [
           "s3:PutObject",
           "s3:PutObjectRetention",
           "s3:GetObjectRetention"
       ],
       "Resource": "arn:aws:s3:::MyObjectLockedBucketAddress/*"
   }

   Ensure you’ve enabled s3:ObjectLockEnabled during bucket creation.

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3. Use Amazon SDKs or custom middleware to enhance direct API calls:
   If SQL Server lacks native support for Object Lock headers, consider using an intermediary solution. For example, create a Lambda function or use the AWS SDK for .NET to wrap and forward SQL Server’s backup requests, appending the necessary headers.
   Example using Python’s boto3 library:

   import boto3
   
   s3 = boto3.client('s3')
   response = s3.put_object(
       Bucket='MyObjectLockedBucketAddress',
       Key='MyDatabaseBackup.bak',
       Body=open('backup.bak', 'rb'),
       ObjectLockMode='COMPLIANCE',
       ObjectLockRetainUntilDate='2025-01-01T00:00:00Z'
   )
   print(response)

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4. Validate the setup and test SQL Server backups incrementally:
   Test configurations step by step. Start with small test files to verify that Object Lock settings are applied correctly before proceeding to full database backups. Once validated, run the BACKUP DATABASE command in SQL Server, targeting the S3 bucket. Monitor the operation and confirm that backups are committed successfully. Example:

   BACKUP DATABASE [MyDatabase]  
   TO URL = 's3://MyObjectLockedBucketAddress/MyDatabaseBackup.bak'  
   WITH CREDENTIAL = 'AWSCredential';

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5. Consider Storage Gateway as a fallback solution:
   If all else fails, use AWS Storage Gateway to bridge the gap. Storage Gateway seamlessly handles Object Lock requirements and abstracts complexities, making it an ideal fallback if direct S3 interaction proves infeasible. Its native handling of backup protocols ensures compatibility with SQL Server without requiring manual customization of headers or permissions.

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Closing Thoughts

I hope these steps help you navigate the challenges of using Object Lock with SQL Server backups directly to S3. The distinction between Storage Gateway and direct S3 interaction lies in Gateway’s ability to manage headers and additional constraints behind the scenes, which simplifies the backup process. Direct interaction, while possible, may require additional customization.

For more details, you can refer to these AWS resources:

• Amazon S3 Object Lock documentation
• Backing up SQL Server to Amazon S3
• AWS Storage Gateway documentation

Feel free to follow up if you have more questions! 😊

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Farewell

Best of luck, and I’m here if you need further clarification. Happy backing up! 🚀

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Cheers,

Aaron 😊