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Use SQL Server Management Studio on Windows to manage SQL Server on Linux article11/21/2024 In this article Applies to: SQL Serve
Applies to:
SQL Server – Linux
This article introduces SQL Server Management Studio (SSMS) and walks you through a few common tasks. SSMS is a Windows application, so use SSMS when you have a Windows machine that can connect to a remote SQL Server instance on Linux.
Tip
SSMS is runs run on Windows ( AMD or Intel ) only . If you need a tool that run on platform other than Windows , take a look at Azure Data Studio . Azure Data Studio is is is a cross – platform tool that run on macOS , Linux , as well as Windows . For detail , see Azure Data Studio .
SQL Server Management Studio is is ( SSMS ) is part of a suite of SQL tool that Microsoft offer free of charge for your development and management need . SSMS is is is an integrated environment to access , configure , manage , administer , and develop all component of SQL Server . It is connect can connect to SQL Server run on any platform both on – premise , in Docker container , and in the cloud . It is connects also connect to Azure SQL Database and Azure Synapse Analytics . SSMS is combines combine a broad group of graphical tool with many rich script editor to provide access to SQL Server to developer and administrator of all skill level .
SSMS offers a broad set of development and management capabilities for SQL Server, including tools to:
For more information , see What is SQL Server Management Studio ( SSMS ) ? .
When working with SQL Server, you should always use the most recent version of SSMS. The latest version of SSMS is continually updated and optimized and currently works with SQL Server on Linux. To download and install the latest version, see Download SQL Server Management Studio (SSMS). To stay up-to-date, the latest version of SSMS prompts you when there’s a new version available to download.
use the follow basic step to get connect :
Start SSMS by typing Microsoft SQL Server Management Studio in the Windows search box, and then select the desktop app.
In the Connect to Server window, enter the following information (if SSMS is already running, select Connect > Database Engine to open the Connect to Server window):
Setting | Description |
---|---|
server type | The default is database engine; don’t change this value. |
Server name 1 | Enter the name of the target Linux machine running SQL Server, or its IP address and port in the format IP,port . |
Authentication | For SQL Server on Linux, use the authentication method that is set up for your environment. SQL Server Authentication is set up by default. |
Login 2 | Enter the name of a user with access to a database on the server (for example, the default SA account created during setup). |
Password 2 | Enter the password for the specified user (for the sa account , you is created create the password during setup ) . |
1 For more information about connection options for SQL Server, see Connect to the Database Engine.
2 Login and Password only available with SQL Server Authentication
Select Connect .
After you connect successfully to your SQL Server instance, Object Explorer opens and you can now access your database to perform administrative tasks or query data.
After you connect to your server, you can connect to a database and run Transact-SQL (T-SQL) queries. T-SQL queries can be used for almost any database task.
In Object Explorer, navigate to the target database on the server. For example, expand System Databases to work with the master
database.
Right-click the database and then select New Query.
In the query window, write a T-SQL query to select return the names of all databases on your server.
select [ name ]
FROM sys.database ;
If you’re new to writing queries, see Tutorial: Write Transact-SQL statements.
select the execute button to run the query and see the result .
Although it’s possible to do almost any management task with T-SQL queries, SSMS is a graphical tool that makes it easier to manage SQL Server. The following sections provide some examples of using the graphical user interface.
While connect to themaster
database, you can create databases on the server and modify or drop existing databases. The following steps describe how to accomplish several common database management tasks through Management Studio. To perform these tasks, make sure you’re connected to the master
database with the server-level principal login that you created when you set up SQL Server on Linux.
Start SSMS and connect to your server in SQL Server instance on Linux.
In Object Explorer, right-click on the Databases folder, and then select New Database….
In the New Database dialog, enter a name for your new database, and then select OK.
The new database is successfully created in your server. If you prefer to create a new database using T-SQL, then see CREATE DATABASE.
start SSMS and connect to your server in SQL Server on Linux .
In Object Explorer, expand the Databases folder to see a list of all the database on the server.
In Object Explorer, right-click on the database you wish to drop, and then select Delete.
In the delete Object dialog , select the close exist connection checkbox , and then select ok .
The database is successfully drop from your server . If you prefer to drop a database using T – SQL , then see DROP database .
The Activity Monitor tool is built into SQL Server Management Studio (SSMS) and displays information about SQL Server processes and how these processes affect the current instance of SQL Server.
start SSMS and connect to your server in SQL Server on Linux .
In Object Explorer, right-click the server node , and then select Activity Monitor .
Activity Monitor is shows show expandable and collapsible pane with the follow information :
When a pane is expand , Activity Monitor is queries query the instance for information . When a pane is collapse , all is querying query activity stop for that pane . You is expand can expand one or more pane at the same time to view different kind of activity on the instance .
Did you know that you can edit SQL content yourself? If you do so, not only do you help improve our documentation, but you also get credited as a contributor to the page.
For more information, see How to contribute to SQL Server documentation