Create a *.sql file, and select ‘MS SQL: Connect’ from the command palette (Ctrl+Shift+P on Windows/Linux, Cmd+Shift+P on macOS).
Paste the connection string in the prompt, select the database and create a new query.
Click the green play button to run the query.
The Problem:
Developers face limitations when using external tools for SQL assistance, as they lack integration with SQL Server Management Studio (SSMS). This hinders access to crucial information like table definitions and stored procedures, which could significantly enhance the development process. Exploring existing options or investigating the possibility of integrating external tools into SSMS is essential to unlock the full potential of AI-powered assistance within the SSMS environment.
The Solutions:
Solution 1: Using SQL Server (mssql) VSC extension
To leverage the power of Copilot within SQL Server SSMS, consider using the ‘SQL Server (mssql) VSC extension’. Here’s a step-by-step guide to set it up:
Create a .sql file: Open a new .sql file in your explorer. This file will serve as the interface for connecting to your SQL Server database.
Connect to the database: Press Ctrl+Shift+P and select ‘MS SQL: Connect’. Provide the connection string of your database in the pop-up window.
Paste the query: Once connected, you can paste your SQL query into the .sql file.
Run the query: Click the green play button (not F5) to execute the query.
This method allows you to utilize Copilot’s assistance within SSMS, providing access to table definitions, stored procedures, and other database objects. While not a perfect solution, it offers a practical workaround for leveraging Copilot’s capabilities for SQL development tasks.
Q&A
What VS code extension can I use for SQL assistance?
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SQL Server (mssql) VSC extension
Video Explanation:
The following video, titled "GitHub Copilot Demo // SQL Programming - Your AI pair ...", provides additional insights and in-depth exploration related to the topics discussed in this post.
