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Visual Studio Code SQL Server extension.

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Free universal database tool and SQL client

Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.

A simple and lightweight SQL client desktop with cross database and platform support.

Database management for VSCode

A lightweight client for managing MariaDB, MySQL, SQL Server, PostgreSQL, SQLite, Interbase and Firebird, written in Delphi

Quick Overview

Microsoft's vscode-mssql is an extension for Visual Studio Code that provides support for developing and managing Microsoft SQL Server, Azure SQL Database, and SQL Data Warehouse. It offers a rich set of features including IntelliSense, syntax highlighting, connection management, query execution, and result visualization.

Pros

  • Seamless integration with Visual Studio Code
  • Comprehensive SQL Server management capabilities
  • Cross-platform support (Windows, macOS, Linux)
  • Regular updates and active community support

Cons

  • Limited advanced database administration features compared to full-fledged SQL management tools
  • Occasional performance issues with large result sets
  • Learning curve for users new to VS Code extensions

Getting Started

  1. Install Visual Studio Code
  2. Open VS Code and navigate to the Extensions view (Ctrl+Shift+X)
  3. Search for "mssql" and install the "SQL Server (mssql)" extension
  4. Restart VS Code after installation
  5. To connect to a database:
    • Press Ctrl+Shift+P to open the command palette
    • Type "sql" and select "MS SQL: Connect"
    • Follow the prompts to enter your server details and credentials
  6. Create a new .sql file and start writing queries
  7. To execute a query:
    • Highlight the query text
    • Press Ctrl+Shift+E or right-click and select "Execute Query"

For more detailed instructions and advanced features, refer to the official documentation on the GitHub repository.

Competitor Comparisons

40,913

Free universal database tool and SQL client

Pros of DBeaver

  • Supports a wide range of database systems, not limited to SQL Server
  • Offers a standalone application with a rich set of features for database management
  • Provides advanced visualization tools for data analysis and ERD creation

Cons of DBeaver

  • Steeper learning curve due to its extensive feature set
  • May be resource-intensive for less powerful machines
  • Not as tightly integrated with the VS Code ecosystem

Code Comparison

vscode-mssql:

SELECT * FROM Customers
WHERE Country='Germany'

DBeaver:

SELECT * FROM Customers
WHERE Country='Germany'
-- DBeaver supports syntax highlighting and auto-completion for multiple database systems

Additional Notes

vscode-mssql is specifically designed for SQL Server integration within VS Code, offering a lightweight and focused experience. It's ideal for developers who primarily work with SQL Server and prefer the VS Code environment.

DBeaver, on the other hand, is a more comprehensive database tool that caters to a broader range of database systems. It's better suited for database administrators or developers working with multiple database types who need a feature-rich, standalone application.

Both tools have their strengths, and the choice between them depends on the user's specific needs, workflow, and the range of databases they work with regularly.

Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.

Pros of Beekeeper Studio

  • Cross-platform support for multiple database types (MySQL, PostgreSQL, SQLite, etc.)
  • User-friendly interface with built-in features like query autocompletion and data export
  • Open-source and actively maintained by the community

Cons of Beekeeper Studio

  • Less integrated with Visual Studio Code ecosystem
  • May have fewer advanced features for SQL Server specifically
  • Potentially steeper learning curve for users already familiar with VS Code

Code Comparison

Beekeeper Studio (JavaScript):

import { Connection } from 'typeorm'

export async function runQuery(connection: Connection, query: string) {
  const result = await connection.query(query)
  return result
}

vscode-mssql (TypeScript):

import { ConnectionPool } from 'mssql'

export async function executeQuery(pool: ConnectionPool, query: string) {
  const result = await pool.request().query(query)
  return result.recordset
}

Both examples show basic query execution, but vscode-mssql is more focused on SQL Server specifics, while Beekeeper Studio's approach is more generic to support multiple database types.

A simple and lightweight SQL client desktop with cross database and platform support.

Pros of sqlectron-gui

  • Supports multiple database systems (MySQL, PostgreSQL, SQLite, etc.)
  • Standalone application, no need for additional IDE or editor
  • User-friendly interface with visual query builder

Cons of sqlectron-gui

  • Less integrated with development workflow compared to VS Code extension
  • May have fewer advanced features for SQL Server specifically
  • Potentially slower update cycle and community support

Code Comparison

sqlectron-gui (React component for query execution):

<Query
  query={this.state.query}
  onExecQueryClick={this.handleExecuteQuery}
  onCancelQueryClick={this.handleCancelQuery}
  onCopyToClipboardClick={this.handleCopyToClipboard}
  onSaveToFileClick={this.handleSaveToFile}
/>

vscode-mssql (TypeScript function for query execution):

public async runQuery(connectionUri: string, selection: ISelectionData, title: string): Promise<void> {
    await this._outputContentProvider.runQuery(this._statusView, connectionUri, selection, title);
    this._vscodeWrapper.logToOutputChannel(Utils.formatString(Constants.msgRunQueryInProgress, title));
}

Both projects offer SQL query execution functionality, but vscode-mssql is more tightly integrated with VS Code's ecosystem, while sqlectron-gui provides a standalone solution with a focus on multi-database support and user-friendly interface.

Database management for VSCode

Pros of SQLTools

  • Supports multiple database systems (MySQL, PostgreSQL, SQLite, etc.)
  • Offers a more user-friendly interface for managing connections
  • Provides advanced features like query history and snippets

Cons of SQLTools

  • May have a steeper learning curve for new users
  • Less integrated with Azure and other Microsoft services
  • Potentially slower performance for large datasets

Code Comparison

vscode-mssql:

SELECT * FROM Customers
WHERE Country='Germany'
ORDER BY CompanyName;

SQLTools:

SELECT * FROM Customers
WHERE Country = 'Germany'
ORDER BY CompanyName;
-- SQLTools supports syntax highlighting for multiple DB systems

Additional Notes

vscode-mssql is specifically designed for Microsoft SQL Server, offering deep integration with Azure and other Microsoft services. It provides excellent performance for large datasets and has a simpler interface for users familiar with SQL Server Management Studio.

SQLTools, on the other hand, is a more versatile extension that supports multiple database systems. It offers a rich set of features like query history, snippets, and a more intuitive connection management interface. However, it may not provide the same level of performance optimization for Microsoft SQL Server as vscode-mssql.

The choice between these extensions depends on the specific needs of the user, such as the database systems they work with and their familiarity with different SQL environments.

A lightweight client for managing MariaDB, MySQL, SQL Server, PostgreSQL, SQLite, Interbase and Firebird, written in Delphi

Pros of HeidiSQL

  • Standalone application with a user-friendly GUI, suitable for users who prefer a dedicated database management tool
  • Supports multiple database systems (MySQL, MariaDB, PostgreSQL, MS SQL Server) in a single application
  • Offers advanced features like data export/import, query builder, and server administration tools

Cons of HeidiSQL

  • Limited integration with development environments compared to vscode-mssql
  • May require separate installation and updates, unlike vscode-mssql which integrates directly into VS Code
  • Less focused on specific MS SQL Server features compared to vscode-mssql

Code Comparison

HeidiSQL (SQL query execution):

SELECT * FROM users WHERE id = :id

vscode-mssql (SQL query execution):

SELECT * FROM users WHERE id = @id

Both tools support parameterized queries, but HeidiSQL uses :parameter syntax, while vscode-mssql uses @parameter syntax for MS SQL Server.

HeidiSQL offers a more comprehensive database management solution with support for multiple database systems, while vscode-mssql provides a tighter integration with VS Code and focuses specifically on MS SQL Server. The choice between the two depends on the user's specific needs, preferred development environment, and the database systems they work with.

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README

Daily Build and Test Gitter

mssql for Visual Studio Code

This extension is designed to help developers seamlessly work with their databases, making it easier to use SQL Server or any Azure SQL service (including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure VMs) as the backend for their applications. With a rich set of features, mssql for Visual Studio Code enhances the development experience, offering functionalities such as:

  • Connect to Microsoft SQL Server and Azure SQL Database: Seamlessly connect to your databases to manage and query data. The new Connection Dialog (Preview) offers a more intuitive interface, with options for entering parameters, connection strings, or browsing Azure databases. The Recent Connections panel provides quick access to previously used servers.
  • Create and manage connection profiles: Easily manage multiple connection profiles and quickly reconnect using your most recently used connections.
  • Enhanced T-SQL Editing Experience: Write T-SQL scripts with a range of powerful features, including:
    • IntelliSense for faster and more accurate coding.
    • Go to Definition for exploring database objects.
    • T-SQL snippets to speed up repetitive tasks.
    • Syntax colorizations and T-SQL error validations.
    • Support for the GO batch separator.
  • Execute queries and View Results (Preview): Run your scripts and view results in a simple, yet powerful, grid with improved data visualization features:
    • View results in a unified interface alongside the integrated terminal and output panels or in their own tab.
    • Sort results by clicking on column headers.
    • Easily copy results with or without headers for use in other applications.
    • Export results to multiple formats, including JSON, Excel, and CSV.
    • View estimated plan and actual plan for T-SQL queries.
  • Object Explorer (Preview): Navigate through your database objects, such as databases, tables, views, and programmability items. Enhanced filtering allows you to filter database objects by properties like name, owner, or creation date, making it easier to locate specific objects within large database hierarchies.
  • Table Designer (Preview): A visual tool for creating and managing tables in your databases. Design every aspect of the table's structure, including:
    • Adding columns, setting data types, and specifying default values.
    • Defining primary keys and managing indexes to improve query performance.
    • Setting up foreign keys to maintain data integrity across tables.
    • Configuring advanced options like check constraints.
    • Script As Create: Automatically generate T-SQL scripts for your table design and apply changes directly to the database.
  • Query Plan Visualizer (Preview): Analyze SQL query performance with detailed execution plans. Key features include:
    • Node Navigation: Interact with each step in the execution plan, including collapsing or expanding nodes for a simplified view.
    • Zoom Controls: Zoom in or out to adjust the level of detail, or use "zoom to fit" for a complete view of the plan.
    • Metrics and Highlighting: Highlight key performance indicators, such as elapsed time or subtree cost, to identify bottlenecks in query execution.
  • Customizable Extension Options: Configure command shortcuts, appearance, and other settings to personalize your development experience.
demo

Get started today and experience a streamlined SQL development workflow with mssql for Visual Studio Code!

Using

  • First, install Visual Studio Code then install mssql extension by pressing F1 or ctrl+shift+p to open command palette, select Install Extension and type mssql.
  • Open an existing file with a .sql file extension or open a new text file (ctrl+n) and change the language mode to SQL by pressing ctrl+k,m and select SQL. mssql commands and functionalities are enabled in the SQL language mode in Visual Studio Code editor.
  • Create a new connection profile using command palette by pressing F1, type sqlman to run MS SQL: Manage Connection Profile command. Select Create. See manage connection profiles for more information about how to create and edit connection profiles in your User Settings (settings.json) file.
  • Connect to a database by pressing F1 and type sqlcon to run MS SQL: Connect command, then select a connection profile. You can also use a shortcut (ctrl+shift+c).
  • Write T-SQL script in the editor using IntelliSense and Snippets. Type sql in the editor to list T-SQL Snippets.
  • Execute T-SQL script or selection of statements in the script by pressing F1 and type sqlex to run MS SQL: Execute Query command. You can also use a shortcut (ctrl+shift+e). See customize shortcuts to learn about change shortcut key bindings to mssql commands.
  • View the T-SQL script execution results and messages in result view.

Commands

The extension provides several commands in the Command Palette for working with .sql files:

  • MS SQL: Connect to SQL Server, Azure SQL Database or SQL Data Warehouse using connection profiles or recent connections.
    • Create Connection Profile to create a new connection profile and connect.
  • MS SQL: Disconnect from SQL Server, Azure SQL Database or SQL Data Warehouse in the editor session.
  • MS SQL: Use Database to switch the database connection to another database within the same connected server in the editor session.
  • MS SQL: Execute Query script, T-SQL statements or batches in the editor.
  • MS SQL: Cancel Query execution in progress in the editor session.
  • MS SQL: Manage Connection Profiles
    • Create a new connection profile using command palette's step-by-step UI guide.
    • Edit user settings file (settings.json) in the editor to manually create, edit or remove connection profiles.
    • Remove an existing connection profile using command palette's step-by-step UI guide.
    • Clear Recent Connection List to clear the history of recent connections.

Options

The following Visual Studio Code settings are available for the mssql extension. These can be set in user preferences (cmd+,) or workspace settings (.vscode/settings.json). See customize options and manage connection profiles for more details.

{
    "mssql.maxRecentConnections": 5,
    "mssql.connections":[],
    "mssql.shortcuts": {
        "event.toggleResultPane": "ctrl+alt+r",
        "event.toggleMessagePane": "ctrl+alt+y",
        "event.prevGrid": "ctrl+up",
        "event.nextGrid": "ctrl+down",
        "event.copySelection": "ctrl+c",
        "event.maximizeGrid": "",
        "event.selectAll": "",
        "event.saveAsJSON": "",
        "event.saveAsCSV": "",
        "event.saveAsExcel": ""
    },
    "mssql.messagesDefaultOpen": true,
    "mssql.logDebugInfo": false,
    "mssql.saveAsCsv.includeHeaders": true,
    "mssql.saveAsCsv.delimiter": ",",
    "mssql.saveAsCsv.lineSeparator": null,
    "mssql.saveAsCsv.textIdentifier": "\"",
    "mssql.saveAsCsv.encoding": "utf-8",
    "mssql.intelliSense.enableIntelliSense": true,
    "mssql.intelliSense.enableErrorChecking": true,
    "mssql.intelliSense.enableSuggestions": true,
    "mssql.intelliSense.enableQuickInfo": true,
    "mssql.intelliSense.lowerCaseSuggestions": false,
    "mssql.resultsFontFamily": "-apple-system,BlinkMacSystemFont,Segoe WPC,Segoe UI,HelveticaNeue-Light,Ubuntu,Droid Sans,sans-serif",
    "mssql.resultsFontSize": 13,
    "mssql.copyIncludeHeaders": false,
    "mssql.copyRemoveNewLine" : true,
    "mssql.splitPaneSelection": "next",
    "mssql.format.alignColumnDefinitionsInColumns": false,
    "mssql.format.datatypeCasing": "none",
    "mssql.format.keywordCasing": "none",
    "mssql.format.placeCommasBeforeNextStatement": false,
    "mssql.format.placeSelectStatementReferencesOnNewLine": false,
    "mssql.applyLocalization": false,
    "mssql.query.displayBitAsNumber": true,
    "mssql.persistQueryResultTabs": false,
    "mssql.enableRichExperiences": true,
    "mssql.openQueryResultsInTabByDefault": false
    "mssql.enableNewQueryResultsFeature": false
}

Change Log

See the change log for a detailed list of changes in each version.

Supported Operating Systems

Currently this extension supports the following operating systems:

  • Windows (x64 | x86 | arm64)
  • macOS (x64 | arm64)
  • Ubuntu 14.04 / Linux Mint 17 / Linux Mint 18 / Elementary OS 0.3
  • Ubuntu 16.04 / Elementary OS 0.4
  • Debian 8.2
  • CentOS 7.1 / Oracle Linux 7
  • Red Hat Enterprise Linux (RHEL)
  • Fedora 23
  • OpenSUSE 13.2
  • Linux arm64

Offline Installation

The extension will download and install a required SqlToolsService package during activation. For machines with no Internet access, you can still use the extension by choosing the Install from VSIX... option in the Extension view and installing a bundled release from our Releases page. Each operating system has a .vsix file with the required service included. Pick the file for your OS, download and install to get started. We recommend you choose a full release and ignore any alpha or beta releases as these are our daily builds used in testing.

Support

Support for this extension is provided on our GitHub Issue Tracker. You can submit a bug report, a feature suggestion or participate in [discussions].

Contributing to the Extension

See the developer documentation for details on how to contribute to this extension.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Telemetry

This extension collects telemetry data, which is used to help understand how to improve the product. For example, this usage data helps to debug issues, such as slow start-up times, and to prioritize new features. While we appreciate the insights this data provides, we also know that not everyone wants to send usage data and you can disable telemetry as described in the VS Code disable telemetry reporting documentation.

Privacy Statement

The Microsoft Enterprise and Developer Privacy Statement describes the privacy statement of this software.

License

This extension is licensed under the MIT License. Please see the third-party notices file for additional copyright notices and license terms applicable to portions of the software.