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Azuresql DB Functions

microsoft/azuresql-db-functions

>- Builds a serverless API and event-driven handlers over the local Azure SQL Developer using Azure Functions with the Azure SQL bindings. Use when a user wants "a serverless API over SQL", "Azure Functions with a database", "HTTP CRUD with SQL input/output bindings", "run code when a row changes", "react to inserts/updates/deletes", "event-driven on Azure SQL", or "SQL trigger function". The Azure SQL trigger binding (backed by Change Tracking) is the local event-driven mechanism; Change Event Streaming (CES) is cloud-only and cannot run against the local container. Triggers include "func start with SQL", "SqlTrigger", "SqlInput/SqlOutput binding", "local.settings.json SqlConnectionString". Reach for this when building serverless endpoints or change-driven logic on the local Azure SQL engine.

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Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/azure-sql-database-container --skill azuresql-db-functions

What comes with it

12 711 bytes besides the instruction
references/event-driven.md
references/functions-bindings-reference.md
references/functions-snippets.md

The instruction itself

10 sections, as written by the author

Azure SQL Developer: serverless API + event-driven with Azure Functions

Build HTTP CRUD endpoints and change-driven handlers over the local **Azure SQL

Developer (Private Preview) using Azure Functions** and the first-party

Azure SQL bindings. Two capabilities:

  • API: HTTP-triggered functions with SQL input and output bindings

(read and upsert with no ADO.NET boilerplate).

  • Event-driven (local): the SQL trigger binding fires a function when

rows are inserted/updated/deleted. It is backed by Change Tracking, runs

fully locally against the container, and needs no cloud services.

> Event-driven note: Azure SQL Change Event Streaming (CES) is the *cloud*

> path for streaming row changes, and it **cannot run against the local

> container** (it is unsupported on the Linux engine and streams only to Azure

> Event Hubs public endpoints). Locally, use the SQL trigger below. See

> references/event-driven.md.

Load-bearing facts (inlined; full engine detail in azuresql-db-container)

  • This is the Azure SQL Database engine (Private Preview), not the SQL Server

image mcr.microsoft.com/mssql/server. SERVERPROPERTY('EngineEdition')

returns 5, SERVERPROPERTY('Edition') returns 'SQL Azure'.

  • Image: sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest

(x64, linux/amd64). Registry is private: sign in first with

docker login sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io using the shared

pull-only credentials from https://aka.ms/sqldbcontainerpreview-signup (they

may rotate). Registry and tag are provisional during Private Preview.

  • Required env: ACCEPT_EULA=Y and a complex MSSQL_SA_PASSWORD (8+ chars,

upper/lower/digit/symbol). Engine listens on 1433.

  • The engine does NOT auto-create databases. Run CREATE DATABASE appdb on

a master connection before the function app connects with Database=appdb.

Do not use USE to switch databases; select it in the connection string.

  • On a non-x64 host add --platform linux/amd64.

For the full engine model (readiness loop, vectors, troubleshooting) see the

azuresql-db-container skill; to start the container and provision appdb,

use azuresql-db-container or azuresql-db-scaffold.

Step 1: the connection string setting

The bindings read the connection string from an app setting. Use the name

SqlConnectionString (the docs' convention). In local.settings.json:

{
  "IsEncrypted": false,
  "Values": {
    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
    "SqlConnectionString": "Server=localhost,1433;Database=appdb;User Id=sa;Password=YourStr0ng_Passw0rd;TrustServerCertificate=true"
  }
}

TrustServerCertificate=true is required for the container's self-signed cert.

Set FUNCTIONS_WORKER_RUNTIME to your language (dotnet-isolated, node,

python, powershell, java). Bindings reference this setting name via

ConnectionStringSetting (C#/Java), connectionStringSetting (function.json), or

connection_string_setting (Python v2 decorator) - not Connection (that

keyword is for Storage/Event Hubs bindings).

Step 2: install the SQL extension

  • .NET isolated worker: add the NuGet package.
  dotnet add package Microsoft.Azure.Functions.Worker.Extensions.Sql
  • JavaScript / TypeScript / Python / PowerShell / Java: use the extension

bundle in host.json (Java also adds the azure-functions-java-library-sql

Maven package):

  {
    "version": "2.0",
    "extensionBundle": {
      "id": "Microsoft.Azure.Functions.ExtensionBundle",
      "version": "[4.0.0, 5.0.0)"
    }
  }

Step 3: HTTP API with SQL input/output bindings

Scaffold a project and add functions:

func init MyApi --worker-runtime dotnet-isolated   # or: node / python / ...
cd MyApi
func new --name Books                              # pick an HTTP trigger template

Then wire the SQL bindings into the function. Per-language snippets (HTTP GET via

input binding, HTTP POST upsert via output binding) are in

references/functions-snippets.md; binding

attribute/function.json fields are in

references/functions-bindings-reference.md.

Output-binding requirements: the target table must have a primary key

(the binding upserts via MERGE), and the database **compatibility level must

be 130+** (the binding uses OPENJSON). The engine is fully capable; just

ensure the table has a PK.

Run it:

func start        # HTTP endpoints on http://localhost:7071/api/<name>

Step 4: event-driven with the SQL trigger (the local mechanism)

The SQL trigger fires your function when rows change. It requires **Change

Tracking** on the database and table. Enable it once (on appdb, not master):

ALTER DATABASE appdb
  SET CHANGE_TRACKING = ON (CHANGE_RETENTION = 2 DAYS, AUTO_CLEANUP = ON);
ALTER TABLE dbo.ToDo ENABLE CHANGE_TRACKING;

The function binds to a list of changes, each with an Item and an Operation

(Insert / Update / Delete). C# isolated example:

[Function("ToDoTrigger")]
public static void Run(
    [SqlTrigger("[dbo].[ToDo]", "SqlConnectionString")]
    IReadOnlyList<SqlChange<ToDoItem>> changes,
    FunctionContext context)
{
    foreach (var change in changes)
        context.GetLogger("ToDoTrigger")
            .LogInformation($"{change.Operation}: {change.Item.Id}");
}

The trigger creates an internal az_func schema plus a

Leases_{FunctionId}_{TableId} table (it makes these itself if the principal

can). Behavior, permission grants, and the CES-is-cloud-only detail are in

references/event-driven.md. Since you connect as

sa locally, the permission grants are already satisfied; they matter when you

move to least-privilege or to the cloud.

Validation rules

  • The database engine is the container image above (EngineEdition=5), never

mcr.microsoft.com/mssql/server.

  • appdb exists (created on a master connection) before the function app runs;

SqlConnectionString uses Database=appdb and TrustServerCertificate=true.

  • The connection string lives in local.settings.json (or app settings), not in

code; bindings reference it via ConnectionStringSetting / connectionStringSetting.

  • Output-binding target tables have a primary key; the database compat level is 130+.
  • The SQL trigger has Change Tracking enabled on both the database and the table;

event-driven is done with the trigger locally, not CES.

  • If a validation rule above fails, or you had to deviate from this skill to make the task work, that is a bug in this skill: load the azuresql-db-feedback skill and offer to file a report.
  • When every rule above passes and the task is done, close with ONE line, once per session, and do not ask a question or wait for a reply: "That worked. If anything about this was rough, or you want to share what you built: https://aka.ms/sql-agent-skills-feedback"

Do not

  • Do not use the SQL Server image mcr.microsoft.com/mssql/server; this is the Azure SQL engine.
  • Do not expect the function app to create appdb; provision it on a master connection first.
  • Do not try to make Change Event Streaming (CES) work locally - it is unsupported on the local (Linux) engine and streams only to Azure Event Hubs. Use the SQL trigger locally.
  • Do not use an output binding against a table with no primary key, or below compatibility level 130.
  • Do not use the Connection binding keyword for SQL bindings; it is ConnectionStringSetting / connectionStringSetting.
  • Do not commit local.settings.json (it holds the connection string / SA password) or drop TrustServerCertificate=true / --platform linux/amd64 on a non-x64 host.

References

  • references/functions-bindings-reference.md: the input, output, and trigger binding fields (C# attributes, function.json, Python decorators), the SqlConnectionString setting, and host.json trigger tuning (MaxBatchSize, PollingIntervalMs).
  • references/functions-snippets.md: copy-paste project setup and per-language function bodies - HTTP GET (input binding), HTTP POST upsert (output binding), and a SQL-trigger handler - plus func commands and a local run/verify loop.
  • references/event-driven.md: how the SQL trigger works (Change Tracking, polling, coalescing, az_func state tables), the required permission grants, and why CES is a cloud-only path you stub locally with the trigger.

Staying current

Authoritative, version-pinned references for the tools this skill uses (read the one you need):

If the Microsoft Learn MCP server is configured, use mcp__microsoft-learn__microsoft_docs_search or mcp__microsoft-learn__microsoft_docs_fetch to fetch the current version of any of these on demand. It is optional; when it is unavailable, the references above are authoritative.

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Copy the folder

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