Mulai cepat: Menggunakan autentikasi SQL dengan penyusun API Data

Dalam mulai cepat ini, Anda menggunakan sampel Autentikasi SQL Quickstart 1 untuk menjalankan penyusun API Data (DAB) melalui SQL. Pengguna mengakses aplikasi web secara anonim. Aplikasi web mengakses DAB secara anonim. DAB menggunakan autentikasi SQL untuk menyambungkan ke SQL Server atau Azure SQL.

Sampel mengekspos data SQL melalui REST, GraphQL, dan MCP. Ini juga termasuk orkestrasi lokal .NET Aspire dan skrip penyebaran Azure.

Important

Autentikasi SQL menjaga penyiapan tetap sederhana, tetapi menggunakan kredensial tersimpan. Hindari rahasia yang disematkan dalam produksi. Simpan rahasia lokal di .env, simpan rahasia cloud di penyimpanan rahasia terkelola, dan pertimbangkan identitas terkelola untuk beban kerja produksi.

Prasyarat

Apa yang ditunjukkan sampel

  • Aplikasi web statis yang memanggil DAB tanpa masuk pengguna.
  • DAB dikonfigurasi sebagai satu-satunya lapisan API, GraphQL, dan MCP di atas SQL.
  • Titik akhir REST, GraphQL, dan MCP diekspos dari konfigurasi DAB yang sama.
  • Autentikasi SQL dari DAB ke SQL Server secara lokal dan Azure SQL di Azure.
  • Orkestrasi .NET Aspire untuk SQL Server lokal, DAB, aplikasi web, SQL Commander, dan MCP Inspector.
  • Penyebaran Azure melalui skrip PowerShell di azure-infra.

Proses autentikasi

Lompatan Authentication
Pengguna ke aplikasi web Anonim
Aplikasi web ke API Anonim
API ke SQL lokal Autentikasi SQL
API ke Azure SQL Autentikasi SQL

Bandingkan dengan seri

Step Perubahan apa
Previous Gunakan penyusun API Data dengan SQL membuat titik akhir REST dan GraphQL lokal dengan DAB CLI.
Panduan memulai cepat ini Menggunakan aplikasi sampel lengkap dan kredensial SQL untuk akses DAB-ke-SQL.
Berikutnya Gunakan identitas terkelola menghapus kata sandi Azure SQL dengan menggunakan identitas Azure DAB.

Menggunakan sampel

Gandakan repositori sampel.

git clone https://github.com/Azure-Samples/dab-2.0-quickstart-web_anon-api_anon-db_sql_auth.git
cd dab-2.0-quickstart-web_anon-api_anon-db_sql_auth

Jalankan sampel secara lokal.

dotnet tool restore
dotnet run --project aspire-apphost

Dasbor Aspire terbuka pada http://localhost:15888. Aplikasi web terbuka di http://localhost:5173. Gunakan dasbor untuk memeriksa titik akhir DAB, kontainer SQL Server, Inspektur MCP, dan sumber daya SQL Commander.

Sebarkan sampel ke Azure.

pwsh ./azure-infra/azure-up.ps1

Skrip penyebaran menyediakan sumber daya Azure SQL dan Azure Container Apps untuk DAB, aplikasi web, Inspektur MCP, dan Komandan SQL.

Bersihkan sumber daya Azure setelah selesai.

pwsh ./azure-infra/azure-down.ps1

File utama

Jalur Kegunaan
azure-infra File Bicep dan skrip PowerShell untuk penerapan dan pembersihan Azure.
data-api/dab-config.json Konfigurasi runtime DAB untuk akses SQL, REST, GraphQL, MCP, dan entitas anonim.
database Proyek database SQL, file skema, dan skrip data benih.
web-app Aplikasi web statis yang memanggil DAB secara anonim.
aspire-apphost .NET Aspire AppHost yang mengatur kontainer lokal dan sumber daya proyek.
mcp-inspector Konfigurasi kontainer MCP Inspector untuk menguji alat DAB MCP.

Gunakan GitHub Copilot untuk membuat ulang sampel ini

Buka ruang kerja tempat Anda ingin membuat sampel di Visual Studio Code, beralih GitHub Copilot ke mode agen, dan tempelkan perintah ini.

You are GitHub Copilot running in agent mode. Recreate the Data API builder Quickstart 1 SQL Authentication sample as a complete, runnable project in the current VS Code workspace under `quickstart-01-sql-authentication`. Build a static web app, Data API builder (DAB), SQL Server locally, Azure SQL in Azure, REST, GraphQL, MCP, .NET Aspire local orchestration, SQL Commander, MCP Inspector, and Azure Container Apps deployment scripts. DAB is the only API, GraphQL, and MCP layer over SQL.

Source repository: https://github.com/Azure-Samples/dab-2.0-quickstart-web_anon-api_anon-db_sql_auth. If internet access is available, inspect or clone this repository before you create files. Reuse and adapt its files as closely as possible, especially `web-app/`, `data-api/`, `database/`, `aspire-apphost/`, `mcp-inspector/`, `azure-infra/`, scripts, and README patterns. The goal is to implement the published quickstart, not to invent a different sample. If the repository differs from this prompt or the current Data API builder docs, prefer the current docs for product behavior.

Minimize user interaction. Use the defaults in this prompt and make reasonable best guesses for noncritical choices. Do not ask for a root folder or project folder name; use the current VS Code workspace and the default subfolder. Ask only when you need approval for resource changes, secrets, permissions, materially higher cost, external account choices, or an ambiguous requirement that affects the architecture.

Start with a short plan and proceed with safe defaults before you create files or run commands. Ask only these questions if the values aren't already available from the environment or prior context:

- Which Azure subscription, primary region, fallback region, and resource group should Azure deployment use? Default fallback region: `westus2` if the primary region can't provision Azure SQL or Container Apps.
- Do you approve creating billable Azure resources if the deployment phase starts?

Use the default demo SQL Database Project unless the user asks for a simple SQL script. Generate a strong SQL password and store it only in local `.env` files or approved cloud secret stores. Use a conventional SQL admin user name such as `sqladmin` unless the target environment requires a different name.

After the answers, show a short checklist and ask for approval before implementation. Include phases for local scaffold, local validation, Azure infrastructure, Azure deployment, validation, and cleanup. Do not run any Azure command that creates or changes resources until the user explicitly approves the exact command set.

After approval, continue working without asking status-check questions. If a command, build, container, endpoint, or validation step fails, inspect the error, adjust the project, rerun the step, and continue. Keep iterating until the sample runs end-to-end or you hit a blocker that requires user action.

Use cost-first Azure defaults. Choose the cheapest option that satisfies the quickstart requirements: use a free Azure SQL database offer when the subscription and region support it; otherwise choose the lowest-cost SQL option that supports the scenario. Use Azure Container Apps consumption, minimal CPU and memory, Basic Azure Container Registry, minimal Log Analytics retention, and no always-on or dedicated plans unless required. Prioritize finishing the project. Treat regional provisioning limits as expected adjustment points, not failures: if the primary region can't provision a required service or free SQL option, use the approved fallback region such as `westus2`, and continue the deployment. Ask the user only when both the primary and fallback regions can't satisfy the requirements, when a change would materially increase cost, when a new permission is required, or when you need approval for Azure commands that create or change resources beyond the already-approved plan. Keep every resource minimal, but make the web interface neat and approachable: small code footprint, responsive layout, clear status messages, accessible labels, and simple styling that is polished rather than austere.

Verify prerequisites and report only missing items: .NET SDK, Docker Desktop running, PowerShell, Azure CLI, `sqlpackage`, .NET Aspire tooling, and the DAB CLI. If the DAB CLI is missing, install or restore it only after the user approves. Use the DAB CLI docs while building: https://learn.microsoft.com/azure/data-api-builder/command-line/.

Use these docs during implementation:

- DAB CLI reference: https://learn.microsoft.com/azure/data-api-builder/command-line/
- `dab init`: https://learn.microsoft.com/azure/data-api-builder/command-line/dab-init
- `dab add`: https://learn.microsoft.com/azure/data-api-builder/command-line/dab-add
- `dab validate`: https://learn.microsoft.com/azure/data-api-builder/command-line/dab-validate
- `dab start`: https://learn.microsoft.com/azure/data-api-builder/command-line/dab-start
- DAB MCP overview: https://learn.microsoft.com/azure/data-api-builder/mcp/overview

Create this structure under the sample folder:

- `azure-infra/` for Bicep, `azure-up.ps1`, `azure-down.ps1`, and post-provision scripts.
- `data-api/` for `dab-config.json` and a DAB Dockerfile that bakes the config into the image for Azure.
- `database/` for a SQL Database Project or idempotent SQL scripts with seed data.
- `web-app/` for static HTML, CSS, and JavaScript that calls DAB anonymously.
- `aspire-apphost/` for the .NET Aspire AppHost.
- `mcp-inspector/` for MCP Inspector notes or container assets.

Handle secrets first. Add `.env`, `**/bin`, and `**/obj` to `.gitignore` before writing secrets. Use `SQL_PASSWORD` for the SQL password and `MSSQL_CONNECTION_STRING` for the DAB connection string. Never print secret values. Use `@env('MSSQL_CONNECTION_STRING')` in `dab-config.json`.

Configure DAB CORS before you start or deploy the web app. Do not leave `runtime.host.cors.origins` as `[]`. Set it to include the exact web app origins, including scheme and port: the local Aspire web origin, such as `http://localhost:5173`, and the deployed Azure Container Apps web FQDN if Azure deployment is approved. Keep `allow-credentials` set to `false` unless the sample explicitly uses browser credentials or cookies. Direct REST, GraphQL, or Swagger requests can succeed even when the browser blocks JavaScript fetch calls, so browser-origin CORS must be configured and validated separately.

Use this DAB CLI workflow and validate after each config change:

```dotnetcli
dab init --database-type mssql --connection-string "@env('MSSQL_CONNECTION_STRING')" --host-mode Development --rest.enabled true --graphql.enabled true --mcp.enabled true
dab add Todos --source dbo.Todos --source.type table --permissions "anonymous:read" --mcp.dml-tools true
dab validate --config data-api/dab-config.json
dab start --config data-api/dab-config.json
```

Use this minimal DAB runtime shape if you write the config directly:

```json
{
	"$schema": "https://dataapibuilder.azureedge.net/schemas/latest/dab.draft.schema.json",
	"data-source": {
		"database-type": "mssql",
		"connection-string": "@env('MSSQL_CONNECTION_STRING')"
	},
	"runtime": {
		"rest": { "enabled": true, "path": "/api" },
		"graphql": { "enabled": true, "path": "/graphql" },
		"mcp": { "enabled": true, "path": "/mcp" },
		"host": { "mode": "development", "cors": { "origins": ["http://localhost:5173"], "allow-credentials": false } }
	},
	"entities": {}
}
```

Use these Aspire patterns from the quickstart skills:

```csharp
var sqlServer = builder.AddSqlServer("sql-server")
		.WithEnvironment("ACCEPT_EULA", "Y")
		.WithDataVolume("sql-data");
var sqlDatabase = sqlServer.AddDatabase("TodoDb");

var sqlDatabaseProject = builder.AddSqlProject<Projects.database>("sql-project")
		.WithReference(sqlDatabase);

var dabServer = builder.AddContainer("data-api", "azure-databases/data-api-builder", "latest")
		.WithImageRegistry("mcr.microsoft.com")
		.WithBindMount(new FileInfo("data-api/dab-config.json").FullName, "/App/dab-config.json", isReadOnly: true)
		.WithEnvironment("MSSQL_CONNECTION_STRING", sqlDatabase)
		.WithHttpEndpoint(targetPort: 5000, name: "http")
		.WithHttpHealthCheck("/health")
		.WaitForCompletion(sqlDatabaseProject);
```

Use `.WaitForCompletion(sqlDatabaseProject)` for DAB and SQL Commander when a SQL project deploys schema. Do not use only `.WaitFor(sqlDatabaseProject)` for a run-to-completion SQL project.

Add SQL Commander exactly enough to work. Use image `jerrynixon/sql-commander:latest`, env var `ConnectionStrings__db`, and ensure the connection string includes `TrustServerCertificate=true`.

```csharp
var sqlCommander = builder.AddContainer("sql-cmdr", "jerrynixon/sql-commander", "latest")
		.WithImageRegistry("docker.io")
		.WithHttpEndpoint(targetPort: 8080, name: "http")
		.WithEnvironment("ConnectionStrings__db", sqlDatabase)
		.WithHttpHealthCheck("/health")
		.WaitForCompletion(sqlDatabaseProject);
```

Add MCP Inspector exactly enough to work with DAB MCP over HTTP. Use Streamable HTTP transport and omit auth only for local development.

```csharp
var mcpInspector = builder.AddMcpInspector("mcp-inspector")
		.WithMcpServer(dabServer, transportType: McpTransportType.StreamableHttp)
		.WithEnvironment("DANGEROUSLY_OMIT_AUTH", "true")
		.WaitFor(dabServer);
```

Also create a VS Code MCP example for local testing:

```json
{
	"servers": {
		"local-dab": { "type": "http", "url": "http://localhost:5000/mcp" }
	}
}
```

For Azure, bake `dab-config.json` into the DAB image. Do not rely on volume mounts in Azure Container Apps.

```dockerfile
FROM mcr.microsoft.com/azure-databases/data-api-builder:latest
COPY dab-config.json /App/dab-config.json
```

Validate before reporting success:

- `dab validate --config data-api/dab-config.json` exits with code 0.
- `dotnet run --project aspire-apphost` starts the complete local environment.
- A direct database query confirms the seeded table exists and contains rows.
- DAB `/health` returns a 2xx response.
- A browser-origin request from each web app origin receives an `Access-Control-Allow-Origin` response header that matches that origin.
- REST returns seeded rows anonymously.
- GraphQL returns seeded rows anonymously.
- MCP Inspector can list DAB tools and call `describe_entities` or an equivalent DAB MCP tool.
- SQL Commander opens from the Aspire dashboard and shows the seeded table.
- The web site returns a successful HTTP response.
- The web app displays data anonymously.
- Azure Container Apps are healthy if deployment is approved.

Do not report final URLs, asset locations, or a success summary until you directly verify database connectivity and query results, a 2xx DAB health response, and a successful web site response. This validation ensures the sample works without requiring the developer to check.

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