
Azuresql Db Faq
作者 microsoftc1e8167e4c1d无许可证收录于 2026年10月8日更新于 2026年10月8日
Answers questions about what the Azure SQL Database container (Private Preview) can and cannot do, and WHY it differs from Azure SQL Database in the Microsoft Azure cloud. Use when a user asks "can I take a backup", "why does USE fail", "is X supported", "why can't I create a vector index", "why does SSMS error", "why isn't the image on Docker Hub", "what's different from the cloud", or hits behavior that does not match their Azure SQL Database expectations. Do NOT guess from general SQL Server / Azure knowledge: the container is a Private Preview product with specific gaps and a specific connection model. Read this skill, and link the user to the live Known limitations page for the current full list.
添加到 SourceWeft 工作区
- 在控制台中打开该技能,并将它添加到工作区。
- 为需要使用它的对话启用该技能。
该技能仅含说明:不附带任何可执行的脚本。
添加到 SourceWeft系统会先要求你登录,然后直接带你回到这个技能。
让你的智能体来安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 或其他能运行命令的智能体中,也可以粘贴到 SourceWeft 对话里。智能体会阅读这个技能的安装说明,向你展示它的来源、许可证和脚本情况,在你同意后用 SourceWeft CLI 安装。
阅读 https://sourceweft.com/skills/gh-microsoft-azure-sql-database-container-azuresql-db-faq/install.md 中的说明,按说明安装这个技能。安装前先告诉我它的来源、许可证以及是否附带脚本,等我确认。修改我电脑上的其他任何内容之前也要先问我。用命令行自行安装
适用于 Claude Code、Codex、Cursor 及其他本地智能体。SourceWeft CLI 会从源代码仓库中获取此处扫描过的那次提交,并根据扫描时记录的哈希值逐一校验每个文件。只要有任何不一致,就不会写入任何内容。
npx @sourceweft/cli skills install gh-microsoft-azure-sql-database-container-azuresql-db-faq添加 --agent claude-code、codex、cursor 或 universal 来选择安装给哪个智能体(默认为 Claude Code)。
上游安装器——未经 SourceWeft 校验
开源的 skills 安装器会获取同一个固定的提交,但不会根据 SourceWeft 记录的哈希值校验文件。
npx skills add https://github.com/microsoft/azure-sql-database-container/tree/c1e8167e4c1d5979d7fc4a6ea11a6ce885a9398b/skills/azuresql-db-faq来源与署名
来源:microsoft/azure-sql-database-container位于skills/azuresql-db-faq提交c1e8167
许可证: 无许可证
内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。
更多来自 microsoft/azure-sql-database-container 的技能

Azuresql Db Sidecar
microsoft
将 Azure SQL 数据库容器作为边车服务添加到 Docker Compose 或 Dev Container 中。

Azuresql Db Rag
microsoft
Builds local vector search, RAG, embeddings, and semantic search on the Azure SQL Database container using the native VECTOR type and VECTOR_DISTANCE. Use when you need to store embeddings, do similarity search, top-k nearest neighbor, cosine distance, retrieval-augmented generation, "find similar documents", chatbot memory, or semantic lookup against a local SQL database. Use this instead of pgvector, FAISS, Chroma, Pinecone, or a separate vector store when the data already lives in (or can live in) Azure SQL. Covers the VECTOR(n) column type, inserting embeddings with CAST(CAST(? AS NVARCHAR(MAX)) AS VECTOR(n)) where the dimension is a literal, a pluggable embed() so only the endpoint changes for cloud, and a working CREATE VECTOR INDEX with the two errors that block it. Provisions appdb on master first so every script runs on a fresh container.

Azuresql Db Import
microsoft
使用 SqlPackage 将 .bacpac 或 .dacpac 导入本地 Azure SQL Database 容器。

Azuresql Db From Sql Server
microsoft
将本地 SQL Server Docker 环境迁移到 Azure SQL Database 容器,以实现与 Azure 一致的本地开发。

Azuresql Db Feedback
microsoft
将技能或容器问题整理为完整、已脱敏的 GitHub 议题草稿,供用户确认后提交。

Azuresql Db Ci
microsoft
Runs integration tests against the Azure SQL Database container (Private Preview, local engine) in CI. Use when setting up GitHub Actions, Azure Pipelines, or GitLab CI to test against Azure SQL DB; when adding a database service container to a CI workflow; when tests need a real Azure SQL engine in the pipeline; or when you see "service container", "health-cmd", "ACR_USERNAME/ACR_PASSWORD", "MSSQL_SA_PASSWORD secret", or "integration test database". Also use when a workflow was about to pull the SQL Server image mcr.microsoft.com/mssql/server, in which case stop and use the Azure SQL Database engine image instead. Covers pulling from the private ACR with credentials, the service health check that runs sqlcmd inside the container so the runner needs no client tools, provisioning appdb before tests, and pointing the test connection string at the user database not master.
更多Learning & Education技能

Wiki Onboarding
microsoft
生成四份面向不同读者的代码库入门指南:贡献者、资深工程师、高管和产品经理。
Jupyter Notebook
openai
使用内置模板和辅助脚本创建或编辑用于实验或教程的 Jupyter 笔记本。

Growth Log
affaan-m
指导撰写成长日志条目,从已完成的工作中提炼可迁移的模式,而不是叙述事件。

Animation Vocabulary
emilkowalski
反向查询词汇表,为描述出的网页动画或动效给出准确术语名称。

Recipe Create Classroom Course
googleworkspace
通过 gws 命令行工具创建 Google Classroom 课程并邀请学生。

Dbs Standard Answer
dontbesilent2025
围绕复杂问题挖掘理论与历史同构案例,提炼带条件的标准答案。