$ show microsoft/vscode-mssql
The vscode-mssql repository is a large, feature-rich VS Code extension providing comprehensive SQL Server management capabilities directly within the editor. Its core functionality, derived from code rather than documentation, includes connection management (SQL Server, Azure SQL, Fabric), T-SQL query execution with a sophisticated results grid (FluentResultGrid), visual schema designer and table designer, schema comparison, database project management (build, publish, deploy via DACPAC), deployment wizards (local Docker containers, Azure SQL, Fabric), object management (create/rename/backup/restore databases), Azure firewall rule handling, and a built-in profiler and execution plan viewer. It also integrates with GitHub Copilot for natural language querying and schema exploration via Language Model Tools and an MCP server bridge. The architecture is a classic VS Code extension with a language client (SqlToolsServiceClient) communicating with a .NET-based SQL Tools Service backend over JSON-RPC, while all modern UI is implemented as React webviews using Fluent UI components. The codebase is being actively developed with a strong focus on AI integration and performance testing, but also contains some legacy patterns (e.g., SlickGrid alongside Fluent grids) and duplicated code across similar webview controllers.
The LLM identified 3 files worth highlighting for reuse:
A customizable, virtualized data grid built on Fluent UI and SlickGrid concepts. It provides row/column selection, filtering, sorting, column resizing, keyboard navigation, context menus, and a command system. The component is self-contained with its own types, state management, and internal controllers. It can be extracted and used in any React application with Fluent UI for displaying tabular data, especially large result sets from SQL queries.
A pure, side-effect-free function that computes summary statistics from a selected range of grid cells. It lazily aggregates count, null count, distinct count, minimum, maximum, and average for numeric columns, and handles mixed data types gracefully. This component is fully reusable in any application needing on-demand selection summaries without a framework dependency.
Implements a script overlay that tracks temporary tables, table variables, and script-local DDL across batches and statements. It provides visibility scoping for diagnostics and completion, handling ALTER TABLE column tracking and batch-level state resets. The module is written as pure TypeScript with no VS Code dependencies, making it suitable for extraction into any T-SQL language tool or IDE service. It demonstrates sophisticated understanding of T-SQL scoping rules and script lifecycle.