Database
November 9, 2026
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Migrate CLR code to AWS Lambda when upgrading Amazon RDS for SQL Server to 2025

Curated by Patrick
Source: AWS Database Blog
Migrate CLR code to AWS Lambda when upgrading Amazon RDS for SQL Server to 2025
Tech Daily Byte Analysis

Amazon RDS for SQL Server 2025 drops support for user‑defined CLR assemblies because the platform cannot grant the UNSAFE permission that CLR code requires. The blog walks through “Option A” – moving the CLR payload into a .NET Lambda, exposing it via API Gateway, and invoking it from T‑SQL with the new native stored procedure sp_invoke_external_rest_endpoint. The example parses RFC 4180 CSV files that contain quoted line breaks, a scenario T‑SQL cannot handle natively. By wrapping the Lambda in a stored procedure that mimics the original CLR signature, callers see no change, while the database stays fully managed and avoids sysadmin privileges.

This approach reflects a broader AWS strategy of offloading custom compute to serverless services when the managed database layer restricts low‑level extensions. As Microsoft phases out extended support for SQL Server 2016 (July 14 2026) and RDS 2017+ blocks CLR, customers seeking to stay on a managed platform must either rewrite in T‑SQL, shift logic to the application tier, or adopt EC2‑hosted SQL Server. The Lambda route offers a middle ground: retain existing .NET code, leverage AWS’s pay‑as‑you‑go compute, and keep data close to the database. Competitors such as Azure SQL Managed Instance still permit CLR with appropriate permissions, so AWS’s serverless workaround may become a differentiator for workloads that cannot be refactored quickly.

The migration introduces new operational considerations. Outbound HTTPS from a private‑subnet RDS requires a NAT gateway, adding infrastructure cost and a potential single point of failure. Storing a static API key in a DATABASE SCOPED CREDENTIAL is functional but less secure than IAM‑based SigV4 authentication, especially for production workloads. Latency between RDS, API Gateway, and Lambda could affect query response times, and any change to the Lambda code now lives outside the database’s version‑control flow. Teams should monitor API usage, enforce throttling, and plan for Lambda versioning to avoid breaking downstream T‑SQL callers.

Key Takeaways

RDS for SQL Server 2025 forces CLR‑dependent customers to externalize .NET logic via sp_invoke_external_rest_endpoint.

Using API Gateway and Lambda preserves existing CLR signatures while keeping the database fully managed.

Deploying this pattern in a private subnet mandates a NAT gateway, adding cost and a dependency on outbound internet connectivity.

Security and performance hinge on replacing static API keys with IAM‑based auth and measuring the added latency of the serverless call chain.

About the Source

This analysis is based on reporting by AWS Database Blog. Here is a short excerpt for context:

After upgrading Amazon RDS for SQL Server to 2017 or later, CLR strict security leaves user-defined CLR assemblies unusable. This post shows how to migrate CLR logic with no native T-SQL equivalent to an AWS Lambda function, invoked from SQL Server 2025 through sp_invoke_external_rest_endpoint behind Amazon API Gateway.
Read the original at AWS Database Blog

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