azuresql-db-import

Importa um esquema e dados existentes do Banco de Dados SQL do Azure ou SQL Server PARA o Azure SQL Developer local usando SqlPackage. Use quando solicitado a "importar um bacpac",…

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

The Azure SQL Database container: import a database

Bring an existing database INTO the local container from a .bacpac (schema + data) or .dacpac (schema only) using SqlPackage.

Verified on 2026-09-05 against the container image sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest, reporting EngineEdition 5, Edition SQL Azure, build 12.0.2000.8. All five executable checks behind this skill passed: the engine identity, Msg 40508 for USE, Msg 40510 for RESTORE, and that SqlPackage runs on the host because the image does not ship it.

What this is (load-bearing facts)

This is the Azure SQL Database engine running locally (Private Preview): SELECT SERVERPROPERTY('EngineEdition') returns 5 and Edition returns 'SQL Azure'. It is NOT the SQL Server image mcr.microsoft.com/mssql/server. If you were about to use that SQL Server image, stop and use this instead.

  • Image: sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest (x64, linux/amd64; private preview registry, sign in first). Registry/tag are provisional during Private Preview.
  • On a non-x64 host, add --platform linux/amd64.
  • The engine does NOT auto-create databases. You must CREATE DATABASE appdb on a master connection before importing into it.
  • There is no restore path. BACKUP and RESTORE are refused in every session with Msg 40510, exactly as in Azure SQL Database in the cloud, so a .bak file is not a way in no matter where it is copied. SqlPackage with a bacpac or dacpac is the import path, which is what the rest of this skill 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).

For full container detail (start recipe, connection model, readiness), see the azuresql-db-container skill. The minimum you need is inlined below.

The three steps

  1. Have a running container with the target database provisioned on master.
  2. Run SqlPackage /Action:Import targeting the provisioned user database.
  3. Validate what landed (PaaS restrictions may drop some objects).

This is the Private Preview supported import path. Always validate the result.

Step 0: start the container and provision the target DB

Reuse the canonical start recipe. It picks a free host port, adds --platform only on a non-x64 host, waits for readiness with a retry loop, and provisions the target database appdb on master in that same loop.

# Pick a free host port and add the platform flag only on a non-x64 host (works in bash and zsh).
HOST_PORT=1433; while lsof -nP -iTCP:"$HOST_PORT" -sTCP:LISTEN >/dev/null 2>&1; do HOST_PORT=$((HOST_PORT+1)); done
PLATFORM=(); case "$(docker info -f '{{.Architecture}}' 2>/dev/null)" in x86_64|amd64) ;; *) PLATFORM=(--platform linux/amd64);; esac
docker rm -f sqldb 2>/dev/null
docker run -d --name sqldb "${PLATFORM[@]}" -e "ACCEPT_EULA=Y" -e "MSSQL_SA_PASSWORD=YourStr0ng_Passw0rd" \
  -p "$HOST_PORT:1433" sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest
until docker exec sqldb /opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P "YourStr0ng_Passw0rd" -C -b -l 2 \
  -Q "IF DB_ID('appdb') IS NULL CREATE DATABASE appdb;" >/dev/null 2>&1; do sleep 2; done
echo "ready on localhost,$HOST_PORT"

If the container is already running, just provision the target database on master:

docker exec sqldb /opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P "YourStr0ng_Passw0rd" -C -b \
  -Q "IF DB_ID('appdb') IS NULL CREATE DATABASE appdb;"

The target database MUST exist and be empty before import. SqlPackage imports the user database; it does not create it on the server for you here.

Step 1: import with SqlPackage

Point /TargetConnectionString at the provisioned database (Database=appdb). Use the canonical connection string shape: User Id=/Password=/Database=, TrustServerCertificate=true.

Schema + data (.bacpac):

SqlPackage /Action:Import \
  /SourceFile:"./mydatabase.bacpac" \
  /TargetConnectionString:"Server=localhost,$HOST_PORT;Database=appdb;User Id=sa;Password=YourStr0ng_Passw0rd;TrustServerCertificate=true"

Schema only (.dacpac) uses /Action:Publish, not Import:

SqlPackage /Action:Publish \
  /SourceFile:"./myschema.dacpac" \
  /TargetConnectionString:"Server=localhost,$HOST_PORT;Database=appdb;User Id=sa;Password=YourStr0ng_Passw0rd;TrustServerCertificate=true"

If SqlPackage is not installed locally, see references/sqlpackage-import.md for install options and a container-based fallback.

Step 2: validate

Confirm the engine identity and spot-check that objects landed:

docker exec sqldb /opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P "YourStr0ng_Passw0rd" -C -b -d appdb \
  -Q "SELECT SERVERPROPERTY('EngineEdition') AS EngineEdition; SELECT COUNT(*) AS Tables FROM sys.tables;"

EngineEdition must be 5. Then verify row counts on a few key tables against the source.

What may not transfer (PaaS restrictions)

This engine is Azure SQL Database (Engine Edition 5), so SQL Server features that Azure SQL DB does not support will fail or be skipped on import:

  • Cross-database three-part-name references and most cross-DB queries.
  • USE <db> in scripts: a user-database session returns Msg 40508. Select the target database in the connection string (Database=appdb, or -d appdb).
  • Server-scoped objects: SQL Agent jobs, server-level logins/linked servers, filestream, certain CLR and filegroup/physical-file settings.
  • Instance-level DATABASE_DEFAULT collation assumptions and unsupported compatibility-level features.

Read SqlPackage output for skipped/blocking items. See references/sqlpackage-import.md for the common error patterns and fixes.

Validation rules

  • Target database exists on master and is empty BEFORE import.
  • /TargetConnectionString sets Database=appdb (never the literal master).
  • After import, SERVERPROPERTY('EngineEdition') on the target is 5.
  • Use .bacpac for schema + data via /Action:Import; .dacpac for schema via /Action:Publish.
  • 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 mcr.microsoft.com/mssql/server SQL Server image.
  • Do not reach for RESTORE DATABASE ... FROM DISK; it is refused with Msg 40510 and copying the .bak into the container does not change that.
  • Do not import into master; import into the provisioned user database.
  • Do not put USE appdb in any pre/post script; select the DB in the connection string instead.
  • Do not rely on /docker-entrypoint-initdb.d/*.sql auto-seeding; it is NOT honored by this image.
  • Do not call a non-x64 host "supported"; just add --platform linux/amd64 on a non-x64 host.
  • Do not treat a clean docker run as "ready"; provision inside the retry loop.

References

  • references/sqlpackage-import.md: SqlPackage install, full flag reference, container-based fallback, and common import errors with fixes. Read it when SqlPackage is missing or an import fails.

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.

Mais skills de microsoft

oss-growth
microsoft
Persona de growth hacker OSS
agent-framework-azure-ai-py
microsoft
Crie agentes do Azure AI Foundry usando o SDK Python do Microsoft Agent Framework (agent-framework-azure-ai). Use ao criar agentes persistentes com AzureAIAgentsProvider, usando ferramentas hospedadas (interpretador de código, pesquisa de arquivos, pesquisa na web), integrando servidores MCP, gerenciando threads de conversa ou implementando respostas em streaming. Abrange ferramentas de função, saídas estruturadas e agentes com múltiplas ferramentas.
development
airunway-aks-setup
microsoft
Configure o AI Runway no AKS — do cluster vazio ao modelo em execução. Abrange verificação do cluster, instalação do controlador, avaliação de GPU, configuração do provedor e primeira implantação. QUANDO: "configurar AI Runway", "integrar cluster AKS", "instalar AI Runway", "configuração do airunway", "implantar modelo no AKS", "inferência GPU no AKS", "configuração KAITO no AKS", "executar LLM no AKS", "vLLM no AKS", "configurar serviço de modelo no AKS", "controlador AI Runway".
devops
appinsights-instrumentation
microsoft
Orientação para instrumentar aplicações web com Azure Application Insights. Fornece padrões de telemetria, configuração de SDK e referências de configuração. QUANDO: como instrumentar o app, SDK do App Insights, padrões de telemetria, o que é App Insights, orientação sobre Application Insights, exemplos de instrumentação, melhores práticas de APM.
devops
applicationinsights-web-ts
microsoft
Instrumente aplicativos de navegador/web com o SDK JavaScript do Application Insights (@microsoft/applicationinsights-web). Use para Real User Monitoring (RUM) — visualizações de página, cliques, dependências AJAX/fetch, exceções, eventos personalizados e rastreamentos de agentes GenAI no lado do navegador correlacionados a rastreamentos OpenTelemetry no backend. Abrange o Script de Carregamento do SDK e a configuração via npm, extensões de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetria e convenções semânticas GenAI do OTel para spans de agente/ferramenta/modelo emitidos pelo navegador.
devops
azure-ai-anomalydetector-java
microsoft
Crie aplicativos de detecção de anomalias com o SDK do Azure AI Anomaly Detector para Java. Use ao implementar detecção de anomalias univariada/multivariada, análise de séries temporais ou monitoramento com IA.
development
azure-ai-language-conversations-py
microsoft
Implemente o reconhecimento de linguagem conversacional (CLU) usando o SDK Python azure-ai-language-conversations. Use ao trabalhar com ConversationAnalysisClient para analisar intenção e entidades de conversas, criar recursos de NLP ou integrar o reconhecimento de linguagem em aplicativos.
development
azure-ai-ml-py
microsoft
SDK v2 do Azure Machine Learning para Python. Use para workspaces de ML, jobs, modelos, conjuntos de dados, computação e pipelines. Gatilhos: "azure-ai-ml", "MLClient", "workspace", "registro de modelos", "jobs de treinamento", "conjuntos de dados".
development