Mssql server management studio

Your Microsoft SQL Server will be running.-p 1433:1433 - the parameter maps the container’s port 1433 (default port for Microsoft SQL Server) to the Ubuntu VM's port 1433. For more advanced scenarios additional ports may need to be exported. The Microsoft documentation describes how to do this.-v sql_server:/var/opt/mssql - the parameter is important. Specify a Docker volume to ensure Microsoft SQL Server data is not lost when the container is deleted. You can use an unnamed volume or simply save the data in the Ubuntu filesystem. In the example provided above we mapped the folder sql_server to the container folder /var/opt/mssql. -d mcr.microsoft.com/mssql/server:2022-latest - select the Microsoft SQL Server image. The SQL Server container images are published and available on the Microsoft Container Registry. You can adjust your command be selecting another image.You can verify the container status by executing the sudo docker ps -a command:Connect to Microsoft SQL ServerThere are multiple ways to connect to the Microsoft SQL Server. We'll outline the most popular ones below. However, it's important to note that if you want to connect from an app running in your Windows 11 VM to the SQL Server running in the other VM (Ubuntu VM in this case), please make sure both VMs are connected to the same network. By default, all virtual machines are connected to the Shared network so you shouldn't have any issues unless you change the network settings of the VMs.Connect from SQL Server Management StudioSince SQL Server Management Studio can be easily installed and run in a Windows 11 VM, you can start it and specify the connection details:where the Server name is the IP address of the Ubuntu VM and the port delimited by a comma.Connect from Visual Studio CodeIf you run Visual Studio inside a Windows 11 VM, you can

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Linux, change the Windows filesystem path to Linux, and then run the following Transact-SQL (T-SQL) command:USE [master];GORESTORE DATABASE [AdventureWorks2022]FROM DISK = '/var/opt/mssql/backup/AdventureWorks2022.bak'WITH MOVE 'AdventureWorks2022' TO '/var/opt/mssql/data/AdventureWorks2022_Data.mdf', MOVE 'AdventureWorks2022_log' TO '/var/opt/mssql/data/AdventureWorks2022_log.ldf', FILE = 1, NOUNLOAD, STATS = 5;GOIf you're not familiar using Azure Data Studio Studio, see connect & query to get started.To restore your database in Azure Data Studio, follow these steps:Download the appropriate .bak file from one of links provided in the download backup files section.Move the .bak file to your SQL Server backup location. This location varies depending on your installation location, instance name, and version of SQL Server. For example, the default location for a default instance of SQL Server 2022 (16.x) is:C:\Program Files\Microsoft SQL Server\MSSQL16.MSSQLSERVER\MSSQL\BackupOpen Azure Data Studio and connect to your SQL Server instance.Right-click on your server and select Manage.Select RestoreOn the General tab, fill in the values listed under Source.Under Restore from, select Backup file.Under Backup file path, select the location you stored the .bak file.This step autopopulates the rest of the fields such as Database, Target database and Restore to.Select Restore to restore your database.Deploy to Azure SQL DatabaseYou have two options to view sample Azure SQL Database data. You can use a sample when you create a new database, or you can deploy a database from SQL Server directly to Azure using SSMS.To get sample data for Azure SQL Managed Instance instead, see restore World Wide Importers to SQL Managed Instance.Deploy new sample databaseWhen you create a new database in Azure SQL Database, you can create a blank database, restore from a backup, or select sample data to populate your new database.Follow these steps to add a sample data to your new database:Connect to your Azure portal.Select Create a resource in the top left of the navigation pane.Select Databases and then select SQL Database.Fill in the requested information to create your database.On the Additional settings tab, choose Sample as the existing data under Data source:Select Create to create your new SQL Database, which is the restored copy of the AdventureWorksLT database.Deploy database from SQL ServerSSMS allows you to deploy a database directly to Azure SQL Database. This method doesn't currently provide data validation so is intended for development and testing and shouldn't be used for production.To deploy a sample database from SQL Server to Azure SQL Database, follow these steps:Connect to your SQL Server in SSMS.If you haven't already done so, restore the sample database to SQL Server.Right-click your restored database in Object Explorer > Tasks > Deploy Database to Microsoft Azure SQL Database....Follow the wizard to connect to Azure SQL Database and deploy your database.Creation scriptsInstead of restoring a database, alternatively, you can use scripts to create the AdventureWorks databases regardless of version.The below scripts can be used to create the entire AdventureWorks database:AdventureWorks OLTP Scripts ZipAdventureWorks DW Scripts ZipAdditional information about using the scripts can be found on GitHub.Related contentDatabase Engine TutorialsQuickstart: Connect and query a SQL Server instance using SQL Server Management Studio (SSMS)Quickstart: Use Azure Data Studio to

Version of mssql-tools, run the following commands:sudo yum check-updatesudo yum update mssql-tools18To make sqlcmd and bcp available in the bash shell every time you log in, update your PATH in the ~/.bash_profile file using this command:echo 'export PATH="$PATH:/opt/mssql-tools18/bin"' >> ~/.bash_profilesource ~/.bash_profileTo make sqlcmd and bcp available in the bash shell for all sessions, add their location to the PATH by editing the ~/.bashrc file with this command:echo 'export PATH="$PATH:/opt/mssql-tools18/bin"' >> ~/.bashrcsource ~/.bashrcStep 4: Connect to SQL Server on RHELOnce SQL Server is installed, you can connect to it using sqlcmd.Connect SQL Server Locallysqlcmd -S localhost -U sa -P '' -N -C-S – Specifies the server name (use localhost for local connections).-U – Specifies the username (use sa for the system administrator account).-P – Specifies the password you set during configuration.-N – Encrypts the connection.-C – Trusts the server certificate without validation.If successful, you’ll see a prompt like this:1>Create a New SQL DatabaseFrom the sqlcmd command prompt, paste the following Transact-SQL command to create a test database:CREATE DATABASE TestDB;On the next line, write a query to return the name of all of the databases on your server:SELECT NameFROM sys.databases;The previous two commands aren’t executed immediately. You must type GO on a new line to execute the previous commands:GOCreate SQL Database on RHELInsert Data into SQL DatabaseNext, create a new table, dbo.Inventory, and insert two new rows.USE TestDB;CREATE TABLE dbo.Inventory (id INT, name NVARCHAR(50), quantity INT, PRIMARY KEY (id));Insert data into the new table.INSERT INTO dbo.Inventory VALUES (1, 'banana', 150), (2, 'orange', 154);Type GO to execute the previous commands:GOInsert Data into SQL DatabaseQuery Data into SQL DatabaseFrom the sqlcmd command prompt, enter a query that returns rows from the dbo.Inventory table where the quantity is greater than 152:SELECT * FROM dbo.Inventory WHERE quantity > 152;GOQuery Data in SQL DatabaseTo end your sqlcmd session, type QUIT:QUITIn addition to sqlcmd, you can use the following cross-platform tools to manage SQL Server:Azure Data Studio – A cross-platform GUI database management utility.Visual Studio Code – A cross-platform GUI code editor that runs Transact-SQL statements with the mssql extension.PowerShell Core – A cross-platform automation and configuration tool based on cmdlets.mssql-cli – A cross-platform command-line interface for running Transact-SQL commands.ConclusionBy following this guide, you’ve successfully installed SQL Server 2022 on RHEL, configured it, and created your first database. You’ve also learned how to query data using the sqlcmd tool.