AGENT SKILL

sqlserver2022

Select and run SQL Server 2022 feature demos: IQP, Azure Arc, Entra authentication, contained AGs, MI link, Fabric/Synapse integration, ledger, S3, Parquet/Delta, containers, Kubernetes, tempdb, and T-SQL. Use for examples/sqlserver2022.

使用场景后端与接口
License 许可
MIT
所属仓库
microsoft/bobsql
最近更新
2026-11-11
Stars
★ 1
Forks
0

01 前言 Front Matter

name
sqlserver2022
description
Select and run SQL Server 2022 feature demos: IQP, Azure Arc, Entra authentication, contained AGs, MI link, Fabric/Synapse integration, ledger, S3, Parquet/Delta, containers, Kubernetes, tempdb, and T-SQL. Use for examples/sqlserver2022.

03 SKILL.md 正文

SQL Server 2022 demonstration collection

Procedure

  1. Read the collection catalog and select one area. Use its local README and actual files, not a guessed script order or an obsolete folder name.
  2. Verify SQL Server 2022 edition/build, compatibility level, sample database, permissions, and client tools. For integrations, independently verify current Azure/service support, accounts, storage, and network prerequisites.
  3. Inspect scripts/manifests for endpoints, paths, and private configuration. Supply runtime credentials following secret setup, including SQLCMD mode where script headers require it. Never suppress findings.
  4. Present the target and operational impact. Require approval before creating Azure resources, exposing services, changing identity/HA configuration, restoring data, applying Kubernetes manifests, or generating heavy load.
  5. Run the selected walkthrough in its numeric/session order. Validate actual plans, feedback, data access, container/pod state, or integration evidence relevant to that demo. Treat captured examples as illustrative, not expected measurements.
  6. Follow the area's teardown and verify its scope before deleting cloud resources, databases, containers, volumes, or persistent storage.

Boundaries

This collection has no universal build. Kubernetes restart labs do not establish an availability-group guarantee. Parquet/Delta files are supporting data, not code; preserve metadata and inspect publication suitability separately. Follow secret checks.

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