azuresql-db-sidecar

Adds Azure SQL Developer as a sidecar service in an existing Docker Compose stack or Dev Container. Use when wiring the local Azure SQL Database engine into…

npx skills add https://github.com/microsoft/azure-sql-database-container --skill azuresql-db-sidecar

The Azure SQL Database container as a sidecar (Compose / Dev Container)

Wire the container into an existing Docker Compose stack or Dev Container as a service the app reaches by service name (sqldb,1433), never localhost. Keep existing services intact; add the database, an init one-shot that creates appdb, and a depends_on gate.

Load-bearing facts (inlined; full 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'. If you were about to use the SQL Server image, stop and use this instead.
  • Image: sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest (x64, linux/amd64). Registry and tag are provisional during Private Preview.
  • Registry credentials: the image lives in a private preview registry. Sign in first with docker login sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io using the shared pull-only credentials provided when you sign up for the Private Preview at https://aka.ms/sqldbcontainerpreview-signup (they may rotate) before docker compose up or building the Dev Container.
  • Platform: x64 only. The compose snippets below set platform: linux/amd64 so the service starts on a non-x64 host.
  • 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 on connect. You must CREATE DATABASE appdb on a master connection before the app connects with Database=appdb. That is what the sqldb-init one-shot below does.
  • Avoid USE to switch databases. In a user-database session (the Azure-faithful context where you develop), USE returns Msg 40508, exactly as in Azure SQL Database in the cloud. A master connection is a provisioning session where the Azure statement filter is not enforced, so USE appears to work there, but master is for provisioning only, not application work. Always select the target database in the connection string (Database=appdb, or -d appdb for sqlcmd).
  • App connection string (single SQL_CONNECTION_STRING env var, service name host): Server=sqldb,1433;Database=appdb;User Id=sa;Password=YourStr0ng_Passw0rd;TrustServerCertificate=true (house style spells it User Id=/Password=/Database=; Uid=/Pwd= are valid synonyms).
  • The image does NOT auto-run /docker-entrypoint-initdb.d/*.sql (a Postgres/MySQL convention, not honored here). Seed in the init one-shot with sqlcmd -d appdb -i seed.sql AFTER appdb exists.

For anything beyond this task (vectors, deeper readiness behavior, full connection model), see the azuresql-db-container skill.

Docker Compose

Add these three pieces to your existing compose.yaml. Do not remove or rename existing services; just add sqldb, sqldb-init, and a depends_on on the app.

services:
  # ---- existing services stay exactly as they are ----

  sqldb:
    image: sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest
    platform: linux/amd64        # x64-only image; required on a non-x64 host
    environment:
      ACCEPT_EULA: "Y"
      MSSQL_SA_PASSWORD: "YourStr0ng_Passw0rd"
    ports:
      - "1433:1433"              # optional; only to reach it from the host
    healthcheck:
      # -b: a SQL error sets the exit code, so transient startup errors
      # (e.g. Msg 913) are retried, not masked. -l 2: short login timeout.
      test: ["CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P \"$$MSSQL_SA_PASSWORD\" -C -b -l 2 -Q \"SELECT 1\" || exit 1"]
      interval: 5s
      timeout: 10s
      retries: 30
      start_period: 30s

  # One-shot: the engine does NOT auto-create databases, so create appdb
  # (and seed it) before the app starts. Exits 0 when done.
  sqldb-init:
    image: sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest
    platform: linux/amd64
    depends_on:
      sqldb:
        condition: service_healthy
    environment:
      MSSQL_SA_PASSWORD: "YourStr0ng_Passw0rd"
    # If you have seed.sql, mount it and add: -i /seed/seed.sql on a -d appdb call.
    # volumes:
    #   - ./seed.sql:/seed/seed.sql:ro
    entrypoint: ["/bin/bash", "-c"]
    command:
      - >
        /opt/mssql-tools18/bin/sqlcmd -S sqldb -U sa -P "$$MSSQL_SA_PASSWORD" -C -b
        -Q "IF DB_ID('appdb') IS NULL CREATE DATABASE appdb;"
    restart: "no"

  app:
    # ---- your existing app service ----
    depends_on:
      sqldb:
        condition: service_healthy
      sqldb-init:
        condition: service_completed_successfully
    environment:
      # Host is the SERVICE NAME sqldb, not localhost.
      SQL_CONNECTION_STRING: "Server=sqldb,1433;Database=appdb;User Id=sa;Password=YourStr0ng_Passw0rd;TrustServerCertificate=true"

Bring it up (after docker login, see above):

docker login sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io   # pull-only creds by signing up at https://aka.ms/sqldbcontainerpreview-signup
docker compose pull                                      # refresh the daily-rebuilt :latest (compose reuses a cached image otherwise)
docker compose up -d

Seeding (optional)

The image does not auto-run init SQL. To seed, uncomment the volumes mount in sqldb-init and chain a seed call AFTER appdb is created:

    command:
      - >
        /opt/mssql-tools18/bin/sqlcmd -S sqldb -U sa -P "$$MSSQL_SA_PASSWORD" -C -b
        -Q "IF DB_ID('appdb') IS NULL CREATE DATABASE appdb;" &&
        /opt/mssql-tools18/bin/sqlcmd -S sqldb -U sa -P "$$MSSQL_SA_PASSWORD" -C -b
        -d appdb -i /seed/seed.sql

Dev Container

Use Docker Compose as the Dev Container backend so the same sqldb + sqldb-init services apply. In .devcontainer/devcontainer.json:

{
  "name": "app-with-azuresql",
  "dockerComposeFile": "../compose.yaml",
  "service": "app",                  // your dev/app service from compose
  "workspaceFolder": "/workspace",
  "runServices": ["sqldb", "sqldb-init"],
  "remoteEnv": {
    "SQL_CONNECTION_STRING": "Server=sqldb,1433;Database=appdb;User Id=sa;Password=YourStr0ng_Passw0rd;TrustServerCertificate=true"
  }
}

Sign in to the registry on the host before "Reopen in Container":

docker login sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io   # pull-only creds by signing up at https://aka.ms/sqldbcontainerpreview-signup

The app container reaches the database at sqldb,1433 over the compose network.

Validation rules

  • App host is sqldb (service name), never localhost.
  • sqldb has a healthcheck using sqlcmd ... -C -b -l 2; the app gates on condition: service_healthy.
  • sqldb-init creates appdb and is gated by the app via condition: service_completed_successfully.
  • Both sqldb and sqldb-init set platform: linux/amd64.
  • Connection string uses User Id= / Password= / Database= and TrustServerCertificate=true; sqlcmd uses -C.
  • Existing services are unchanged except for added depends_on.
  • 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.
  • Do not point the app at localhost; inside compose it is the sqldb service.
  • Do not rely on the app to create appdb, and do not assume the engine auto-creates it; the sqldb-init one-shot must run first.
  • Do not use USE appdb to switch databases; a user-database session returns Msg 40508, exactly as in Azure SQL Database in the cloud. Select the target database in the connection string (Database=appdb, or -d appdb for sqlcmd).
  • Do not drop --platform / platform: linux/amd64; the image is x64 only.
  • Do not depend on /docker-entrypoint-initdb.d/*.sql; it is not honored here.
  • Do not call a non-x64 host "supported"; it runs under emulation only.

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.

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development