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Eric Kang edited this page Nov 9, 2016 · 10 revisions

Getting Started

Welcome! The mssql extension turns Visual Studio Code into a powerful development environment and code editor for Microsoft SQL Server, Azure SQL Databases and Data Warehouse evrywhere on Windows, Linux and macOS of your choice.

In this step-by-step tutorial, we will walk you through how to:

  • Connect to Microsoft SQL Server, Azure SQL Databases and Data Warehouses.
  • Easily write T-SQL script with IntelliSense, T-SQL snippets, syntax colorization, real-time error validation and more!
  • Execute the script against the connected database.
  • View the result in a slick grid.
  • Save the result to a json or csv file format.

At the end, you will have a complete SQL Server development environment on your Windows, Linux or macOS. With that, you will be fully ready to venture into the exciting world of database development for your application.

Step 1. Download and install mssql extension from Visual Studio Code marketplace.

  • First, install Visual Studio Code and start it.
  • Then install the mssql extension by pressing cmd+shift+p or F1 to open the command palette in Visual Studio Code, select Install Extenion and choose mssql.
    • For macOS, you will need to install OpenSSL which is a pre-requiste for DotNet Core that mssql extention uses. Follow the 'install pre-requisite' steps in DotNet Core instruction page.
    • Or, simply run the following commands in your macOS Terminal. 
      brew update
brew install openssl
ln -s /usr/local/opt/openssl/lib/libcrypto.1.0.0.dylib /usr/local/lib/
ln -s /usr/local/opt/openssl/lib/libssl.1.0.0.dylib /usr/local/lib/
  • If you don't have SQL Server, Azure SQL Database or Data Warehouse to connect to yet, get Microsoft SQL Server, Azure SQL Database or Data Warehouse then continue to Step 2. Don't forget SQL Server 2016 Developer Edition or SQL on Linux and its Docker container for macOS is free to use.

Step 2. Open a new or existing *.sql file

  • Press cmd+n. Visual Studio Code opens a new 'Plain Text' file by default. Press cmd+k,m and change the language mode to SQL.
  • Or simply open a file with a .sql file extension.

The mssql extension looks for 'SQL' file type in the editor and activates commands and T-SQL IntelliSense on the .sql file.

Step 3. Create a new connection profile

To make a connection to SQL Server, Azure SQL Databases or Data Warehouse, you need a connection profile. The mssql extension has a built-in wizard in the command palette that will help to create a new connection profile.

  • Press F1, and select MS SQL: Manage Connection Profile. You can simply type sqlman and press enter. Select Create.
  • Create task will walk you through a few questions.
    • Server Name: type in your SQL Server instance name or type localhost if it is running on your local machine. To connect Azure SQL Database or Data Warehouse, get the server name from the Azure portal. Typically, it is <your-server-name>.database.windows.net format.
    • Database Name: Type in the name of database your want to connect. If you don't specify and press enter, mssql will use the default value that is defined in the server such as master or tempdb for SQL Server.
    • Authentication Type: If you run Visual Studio Code on Windows, the mssql extension will ask this question. Select SQL Login for this tutorial. On Linux and macOS, SQL Login is the only choice, hence the mssql extension will skip asking this question.
    • User name: Type a valid user name for the SQL Server instance you will connect to.
    • Password: Type a valid passowrd for the user.
    • Save Password: Select Yes. The mssql extension securely stores the password in a secure store, for example KeyChain on macOS and get the password from KeyChain for the subsequent connections.
    • Profile Name: Type mssqlTutorial or a name that you like. Providing a name to a connection profile will help you search it later when you have multiple connection profiles.
    • Check if the connection profile is successfully created.

To manually create or edit a connection profile, see manage connection profiles wiki page. You can quickly create multiple connection properties by copy, paste and edit existing connection profile or add advanced connection properties to a connection profile using the connection properties suggestion list.

Step 4. Connect

  • Press F1 then type sqlcon or use cmd+shift+c shortcut to run MS SQL: Connect command.

  • Select the connection profile mssqlTutorial and press enter.

  • Check if the connection was successful. You can view the connection status on the status bar.

    [image connection status]

Step 5. Write T-SQL script

Create a database with snippet

  • In the editor, type sql. It will show the list of T-SQL snippets. Keep typing in sqlcreate and select sqlCreateDatabase.
  • Type a database name in the snippet generated script in the editor, let's use ClinicDB for this tutorial. It will look like: 
    -- Create a new database called 'ClinicDB'
-- Connect to the 'master' database to run this snippet
USE master
GO
-- Drop the database if it already exists
IF EXISTS (
    SELECT name
    FROM sys.databases
    WHERE name = N'ClinicDB'
)
DROP DATABASE [ClinicDB]
GO
-- Create the new database
CREATE DATABASE [ClinicDB]
GO

Create a new table and insert data

  • Copy and paste the script below to create Patients table and insert some data. 
    -- Change database to ClinicDB 
USE [ClinicDB];
GO
-- Create Patients table
CREATE TABLE [dbo].[Patients]
(
    [PatientId] [int] NOT NULL,
    [FirstName] [nvarchar](50) NOT NULL,
    [LastName] [nvarchar](50) NOT NULL, 
    [Email] [nvarchar](50) NOT NULL,
    [City] [nvarchar](50) NULL,
    [MobileNumber] [nvarchar](50) NOT NULL
    PRIMARY KEY CLUSTERED ([PatientId] ASC) ON [PRIMARY]
);
GO
-- Insert sample data into Patients table
INSERT INTO [dbo].[Patients]([PatientId],[FirstName],[LastName],[Email],[City],[MobileNumber])
VALUES
    (1, 'Amitabh', 'Bachchan', 'angry_young_man@gmail.com', 'Mumbai', '2620616212'),
    (2, 'Abhishek', 'Bachchan', 'abhishek@abhishekbachchan.org', 'Mumbai', '8890195228'),
    (3, 'Aishwarya', 'Rai', 'ash@gmail.com', 'Mumbai', '9991206339'),
    (4, 'Joe', 'Blogger', 'joe@blogger.org', 'Mumbai', '8988234567'),
    (5, 'Sally', 'Parker', 'sallyp@gmail.org', 'Pune', '8008123456'),
    (6, 'Kareena', 'Kapoor', 'bebo@kapoor.org', 'Mumbai', '8007891721')
GO

Query with SELECT statement

  • Type the following T-SQL query. As you type, IntelliSense will help you coding with suggestions and auto-completion. The mssql extension also validates the query for an error. 
    -- Get the count of total patients number
SELECT COUNT(*) PatientCount FROM Patients;

-- Dump All Patient records
SELECT [FirstName], [LastName], [Email], [MobileNumber] FROM Patients;
GO

Step 6. Execute

Step 7. View and Save the result

  • Check the execution messages and query results in Messages and Results panes.
  • Try horizontal and vertical split view layouts. Go to Visual Studio Code menu View --> Toggle Editor Group Layout to switch the layout.
  • Play with following actions on the result view:
    • Click Results bar to toggle collapse and expand.
    • Click Messages bar to toggle collapse and expand.
    • Click Maximize / Restore icon button on a grid.
    • See customize result view shortcuts wiki page for more actions and customizable shortcuts.
  • Click the right mouse button on a grid to pop-up the result grid menu and run Select all.
  • Click the right mouse button on a grid then run Save as JSON or click its icon button on the right side of the grid.
  • Specify the file name such as myfile.json. It will save the result as a .json file format and open the file in the editor.

[image for playing with result view]

End of tutorial and play more by yourself

You have finished learning the core features of the mssql extension. [Add next steps]

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