Azure Database for MySQL bindings for Azure Functions (General Availability)
We’re thrilled to announce the general availability (GA) of Azure Database for MySQL Input and Output bindings for Azure Functions—a powerful way to build event-driven, serverless applications that seamlessly integrate with your MySQL databases. Key Capabilities With this GA release, your applications can use: Input bindings that allow your function to retrieve data from a MySQL database without writing any connection or query logic. Output bindings that allow your function to insert or update data in a MySQL table without writing explicit SQL commands. In addition you can use both the input and output bindings in the same function to read-modify-write data patterns. For example, retrieve a record, update a field, and write it back—all without managing connections or writing SQL. These bindings are fully supported for both in-process and isolated worker models, giving you flexibility in how you build and deploy your Azure Functions. How It Works Azure Functions bindings abstract away the boilerplate code required to connect to external services. With the MySQL Input and Output bindings, you can now declaratively connect your serverless functions to your Azure Database for MySQL database with minimal configuration. You can configure these bindings using attributes in C#, decorators in Python, or annotations in JavaScript/Java. The bindings use the MySql.Data.MySqlClient library under the hood and support Azure Database for MySQL Flexible Server. Getting Started To use the bindings, install the appropriate NuGet or npm package: # For isolated worker model (C#) dotnet add package Microsoft.Azure.Functions.Worker.Extensions.MySql # For in-process model (C#) dotnet add package Microsoft.Azure.WebJobs.Extensions.MySql Then, configure your function with a connection string and binding metadata. Full samples for all the supported programming frameworks are available in our github repository. Here is a sample C# in-process function example where you want to retrieve a user by ID, increment their login count, and save the updated record back to the MySQL database for lightweight data transformations, modifying status fields or updating counters and timestamps. public class User { public int Id { get; set; } public string Name { get; set; } public int LoginCount { get; set; } } public static class UpdateLoginCountFunction { [FunctionName("UpdateLoginCount")] public static async Task<IActionResult> Run( [HttpTrigger(AuthorizationLevel.Function, "post", Route = "user/{id}/login")] HttpRequest req, [MySql("SELECT * FROM users WHERE id = @id", CommandType = System.Data.CommandType.Text, Parameters = "@id={id}", ConnectionStringSetting = "MySqlConnectionString")] User user, [MySql("users", ConnectionStringSetting = "MySqlConnectionString")] IAsyncCollector<User> userCollector, ILogger log) { if (user == null) { return new NotFoundObjectResult("User not found."); } // Modify the user object user.LoginCount += 1; // Write the updated user back to the database await userCollector.AddAsync(user); return new OkObjectResult($"Login count updated to {user.LoginCount} for user {user. Name}."); } } Learn More Azure Functions MySQL Bindings Azure Functions Conclusion With input and output bindings for Azure Database for MySQL now generally available, building serverless apps on Azure with MySQL has never been simpler or more efficient. By eliminating the need for manual connection management and boilerplate code, these bindings empower you to focus on what matters most: building scalable, event-driven applications with clean, maintainable code. Whether you're building real-time dashboards, automating workflows, or syncing data across systems, these bindings unlock new levels of productivity and performance. We can’t wait to see what you’ll build with them. If you have any feedback or questions about the information provided above, please leave a comment below or email us at AskAzureDBforMySQL@service.microsoft.com. Thank you!
SQL Server provisioned or serverless for stream analytics data
This is my first message to this great community. I want your guidance on the following scenario: our company has clients that have devices (sensors mostly) that stream data to Azure's IoT hub. These data are stored to a SQL database in Azure and retrieved (through Direct Query) from Power BI reports and dashboards. The above process takes place almost in real time. For the moment SQL server is configured as serverless, but we think that the cost is high. I would love some help according the choice between serverless and provisioned. Which is the best one according the above IoT scenario? And how we can calculate that cost in relation with stream analytics queries? Thanks in advance
