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1. Sql Server Developer Edition Mac
2. Microsoft Sql Server 2017 Developer Edition Download
3. Download Microsoft Sql Server Developer Edition

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APPLIES TO: SQL Server (Linux only) Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

In this quickstart, you use Docker to pull and run the SQL Server 2017 container image, mssql-server-linux. Then connect with sqlcmd to create your first database and run queries.

Scaling out queries using PolyBase requires using SQL Server Enterprise edition as a head node. Certain features including SQL Server Reporting Services, SQL Server Analysis Services, Machine Learning Services, PolyBase, and Stretch Database are not available in SQL Server 2017 on Linux. Interleaved Execution is available in all editions. Sep 26, 2019  I previously explained how to install SQL Server on a Mac via a Docker container. When I wrote that, SQL Server 2017 was the latest version of SQL Server, and it had just been made available for Linux and Docker (which means that you can also install it on MacOS systems). Nov 17, 2016  SQL Server Running on a Mac?! This sets an environment variable to instruct SQL Server to run as the Developer Edition. Connect to your SQL Server running in Docker using sql-cli.

• Sep 06, 2017  Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. Compared to its predecessors, SQL Server 2016 offers developers a unique opportunity to leverage the advanced features and build applications that are robust, scalable, and easy to administer.
• Introducing SQL Server 2019. Transform your business with a unified data platform. SQL Server 2019 comes with Apache Spark and Hadoop Distributed File System (HDFS) for intelligence over all your data.
• Dec 22, 2017 SQL Server 2017 has been released for a while. I have been using it for a while and it is a pretty stable release from Microsoft. The installation of SQL Server 2017 is pretty straight forward and very similar to previous versions of SQL Server. This was the primary reason, I had not created an installation video for SQL Server 2017.

Tip

If you want to run SQL Server 2019 containers, see the SQL Server 2019 version of this article.

Note

Starting with SQL Server 2019 CU3, Ubuntu 18.04 is supported.

In this quickstart, you use Docker to pull and run the SQL Server 2019 container image, mssql-server. Then connect with sqlcmd to create your first database and run queries.

Tip

This quickstart creates SQL Server 2019 containers. If you prefer to create SQL Server 2017 containers, see the SQL Server 2017 version of this article.

This image consists of SQL Server running on Linux based on Ubuntu 18.04. It can be used with the Docker Engine 1.8+ on Linux or on Docker for Mac/Windows. This quickstart specifically focuses on using the SQL Server on linux image. The Windows image is not covered, but you can learn more about it on the mssql-server-windows-developer Docker Hub page.

Prerequisites

• Docker Engine 1.8+ on any supported Linux distribution or Docker for Mac/Windows. For more information, see Install Docker.
• Docker overlay2 storage driver. This is the default for most users. If you find that you are not using this storage provider and need to change, please see the instructions and warnings in the docker documentation for configuring overlay2.
• Minimum of 2 GB of disk space.
• Minimum of 2 GB of RAM.
• System requirements for SQL Server on Linux.

Pull and run the container image

Before starting the following steps, make sure that you have selected your preferred shell (bash, PowerShell, or cmd) at the top of this article.

1. Pull the SQL Server 2017 Linux container image from Microsoft Container Registry.

   Tip

   If you want to run SQL Server 2019 containers, see the SQL Server 2019 version of this article.

   The previous command pulls the latest SQL Server 2017 container image. If you want to pull a specific image, you add a colon and the tag name (for example, mcr.microsoft.com/mssql/server:2017-GA-ubuntu). To see all available images, see the mssql-server Docker hub page.

   For the bash commands in this article, sudo is used. On macOS, sudo might not be required. On Linux, if you do not want to use sudo to run Docker, you can configure a docker group and add users to that group. For more information, see Post-installation steps for Linux.

2. To run the container image with Docker, you can use the following command from a bash shell (Linux/macOS) or elevated PowerShell command prompt.

   Note

   The password should follow the SQL Server default password policy, otherwise the container can not setup SQL server and will stop working. By default, the password must be at least 8 characters long and contain characters from three of the following four sets: Uppercase letters, Lowercase letters, Base 10 digits, and Symbols. You can examine the error log by executing the docker logs command.

   Note

   By default, this creates a container with the Developer edition of SQL Server 2017. The process for running production editions in containers is slightly different. For more information, see Run production container images.

   The following table provides a description of the parameters in the previous docker run example:

   Parameter	Description
   -e 'ACCEPT_EULA=Y'	Set the ACCEPT_EULA variable to any value to confirm your acceptance of the End-User Licensing Agreement. Required setting for the SQL Server image.
   -e 'SA_PASSWORD=<YourStrong@Passw0rd>'	Specify your own strong password that is at least 8 characters and meets the SQL Server password requirements. Required setting for the SQL Server image.
   -p 1433:1433	Map a TCP port on the host environment (first value) with a TCP port in the container (second value). In this example, SQL Server is listening on TCP 1433 in the container and this is exposed to the port, 1433, on the host.
   --name sql1	Specify a custom name for the container rather than a randomly generated one. If you run more than one container, you cannot reuse this same name.
   -d mcr.microsoft.com/mssql/server:2017-latest	The SQL Server 2017 Linux container image.

3. To view your Docker containers, use the docker ps command.

   You should see output similar to the following screenshot:

4. If the STATUS column shows a status of Up, then SQL Server is running in the container and listening on the port specified in the PORTS column. If the STATUS column for your SQL Server container shows Exited, see the Troubleshooting section of the configuration guide.

The -h (host name) parameter is also useful, but it is not used in this tutorial for simplicity. This changes the internal name of the container to a custom value. This is the name you'll see returned in the following Transact-SQL query:

Setting -h and --name to the same value is a good way to easily identify the target container.

Pull and run the container image

Before starting the following steps, make sure that you have selected your preferred shell (bash, PowerShell, or cmd) at the top of this article.

1. Pull the SQL Server 2019 Linux container image from Docker Hub.

   Tip

   This quickstart uses the SQL Server 2019 Docker image. If you want to run the SQL Server 2017 image, see the SQL Server 2017 version of this article.

   The previous command pulls the SQL Server 2019 container image based on Ubuntu. To instead use container images based on RedHat, see Run RHEL-based container images. To see all available images, see the mssql-server-linux Docker hub page.

   For the bash commands in this article, sudo is used. On macOS, sudo might not be required. On Linux, if you do not want to use sudo to run Docker, you can configure a docker group and add users to that group. For more information, see Post-installation steps for Linux.

2. To run the container image with Docker, you can use the following command from a bash shell (Linux/macOS) or elevated PowerShell command prompt.

   Note

   The password should follow the SQL Server default password policy, otherwise the container can not setup SQL server and will stop working. By default, the password must be at least 8 characters long and contain characters from three of the following four sets: Uppercase letters, Lowercase letters, Base 10 digits, and Symbols. Microsoft office for mac download. You can examine the error log by executing the docker logs command.

   Note

   By default, this creates a container with the Developer edition of SQL Server 2019.

   The following table provides a description of the parameters in the previous docker run example:

   Parameter	Description
   -e 'ACCEPT_EULA=Y'	Set the ACCEPT_EULA variable to any value to confirm your acceptance of the End-User Licensing Agreement. Required setting for the SQL Server image.
   -e 'SA_PASSWORD=<YourStrong@Passw0rd>'	Specify your own strong password that is at least 8 characters and meets the SQL Server password requirements. Required setting for the SQL Server image.
   -p 1433:1433	Map a TCP port on the host environment (first value) with a TCP port in the container (second value). In this example, SQL Server is listening on TCP 1433 in the container and this is exposed to the port, 1433, on the host.
   --name sql1	Specify a custom name for the container rather than a randomly generated one. If you run more than one container, you cannot reuse this same name.
   mcr.microsoft.com/mssql/server:2019-CU3-ubuntu-18.04	The SQL Server 2019 Ubuntu Linux container image.

3. To view your Docker containers, use the docker ps command.

   You should see output similar to the following screenshot:

4. If the STATUS column shows a status of Up, then SQL Server is running in the container and listening on the port specified in the PORTS column. If the STATUS column for your SQL Server container shows Exited, see the Troubleshooting section of the configuration guide.

The -h (host name) parameter is also useful, but it is not used in this tutorial for simplicity. This changes the internal name of the container to a custom value. This is the name you'll see returned in the following Transact-SQL query:

Setting -h and --name to the same value is a good way to easily identify the target container.

Change the SA password

The SA account is a system administrator on the SQL Server instance that gets created during setup. After creating your SQL Server container, the SA_PASSWORD environment variable you specified is discoverable by running echo $SA_PASSWORD in the container. For security purposes, change your SA password.

1. Choose a strong password to use for the SA user.

2. Use docker exec to run sqlcmd to change the password using Transact-SQL. In the following example, replace the old password, <YourStrong!Passw0rd>, and the new password, <YourNewStrong!Passw0rd>, with your own password values.

Connect to SQL Server

The following steps use the SQL Server command-line tool, sqlcmd, inside the container to connect to SQL Server.

1. Use the docker exec -it command to start an interactive bash shell inside your running container. In the following example sql1 is name specified by the --name parameter when you created the container.

2. Once inside the container, connect locally with sqlcmd. Sqlcmd is not in the path by default, so you have to specify the full path.

   Tip

   You can omit the password on the command-line to be prompted to enter it.

3. If successful, you should get to a sqlcmd command prompt: 1>.

Create and query data

The following sections walk you through using sqlcmd and Transact-SQL to create a new database, add data, and run a simple query.

Create a new database

The following steps create a new database named TestDB.

1. From the sqlcmd command prompt, paste the following Transact-SQL command to create a test database:

2. On the next line, write a query to return the name of all of the databases on your server:

3. The previous two commands were not executed immediately. You must type GO on a new line to execute the previous commands:

Insert data

Next create a new table, Inventory, and insert two new rows.

1. From the sqlcmd command prompt, switch context to the new TestDB database:

2. Create new table named Inventory:

3. Insert data into the new table:

4. Type GO to execute the previous commands:

Select data

Now, run a query to return data from the Inventory table.

1. From the sqlcmd command prompt, enter a query that returns rows from the Inventory table where the quantity is greater than 152:

2. Execute the command:

Exit the sqlcmd command prompt

1. To end your sqlcmd session, type QUIT:

2. To exit the interactive command-prompt in your container, type exit. Your container continues to run after you exit the interactive bash shell.

Connect from outside the container

You can also connect to the SQL Server instance on your Docker machine from any external Linux, Windows, or macOS tool that supports SQL connections.

The following steps use sqlcmd outside of your container to connect to SQL Server running in the container. These steps assume that you already have the SQL Server command-line tools installed outside of your container. The same principles apply when using other tools, but the process of connecting is unique to each tool.

1. Find the IP address for the machine that hosts your container. On Linux, use ifconfig or ip addr. On Windows, use ipconfig.

2. For this example, install the sqlcmd tool on your client machine. For more information, see Install sqlcmd on Windows or Install sqlcmd on Linux.

3. Run sqlcmd specifying the IP address and the port mapped to port 1433 in your container. In this example, that is the same port, 1433, on the host machine. If you specified a different mapped port on the host machine, you would use it here.

4. Run Transact-SQL commands. When finished, type QUIT.

Other common tools to connect to SQL Server include:

Remove your container

If you want to remove the SQL Server container used in this tutorial, run the following commands:

Warning

Stopping and removing a container permanently deletes any SQL Server data in the container. If you need to preserve your data, create and copy a backup file out of the container or use a container data persistence technique.

Docker demo

After you have tried using the SQL Server container image for Docker, you might want to know how Docker is used to improve development and testing. The following video shows how Docker can be used in a continuous integration and deployment scenario.

Sql Server Developer Edition Mac

Next steps

For a tutorial on how to restore database backup files into a container, see Restore a SQL Server database in a Linux Docker container. To explore other scenarios, such as running multiple containers, data persistence, and troubleshooting, see Configure SQL Server container images on Docker.

Also, check out the mssql-docker GitHub repository for resources, feedback, and known issues.

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APPLIES TO: SQL Server (Windows only) Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

This article describes how to uninstall a stand-alone instance of SQL Server. By following the steps in this article, you also prepare the system so that you can reinstall SQL Server.

Note

Microsoft Sql Server 2017 Developer Edition Download

To uninstall a SQL Server failover cluster, use the Remove Node functionality provided by SQL Server Setup to remove each node individually. For more information, see Add or Remove Nodes in a SQL Server Failover Cluster (Setup)

Considerations

• To uninstall SQL Server, you must be a local administrator with permissions to log on as a service.
• If your computer has the minimum required amount of physical memory, increase the size of the page file to two times the amount of physical memory. Insufficient virtual memory can result in an incomplete removal of SQL Server.
• On a system with multiple instances of SQL Server, the SQL Server browser service is uninstalled only once the last instance of SQL Server is removed. The SQL Server Browser service can be removed manually from Programs and Features in the Control Panel.
• Uninstalling SQL Server deletes tempdb data files that were added during the install process. Files with tempdb_mssql_*.ndf name pattern are deleted if they exist in the system database directory.

Prepare

1. Back up your data. Either create full backups of all databases, including system databases, or manually copy the .mdf and .ldf files to a separate location. The master database contains all system level information for the server, such as logins, and schemas. The msdb database contains job information such as SQL Server agent jobs, backup history, and maintenance plans. For more information about system databases see System databases.

   The files that you must save include the following database files:

   master.mdf	mastlog.ldf	model.mdf	modellog.ldf
   msdbdata.mdf	msdblog.ldf	Mssqlsystemresource.mdf	Mssqlsustemresource.ldf
   Tempdb.mdf	Templog.ldf	ReportServer[$InstanceName]	ReportServer[$InstanceName]TempDB

   Note

   The ReportServer databases are included with SQL Server Reporting Services.

2. Stop all SQL Server services. We recommend that you stop all SQL Server services before you uninstall SQL Server components. Active connections can prevent successful uninstallation.

   NoteOutlook for Mac and OneNote for Mac do not support VBA. Microsoft 360 mac os.

3. Use an account that has the appropriate permissions. Log on to the server by using the SQL Server service account or by using an account that has equivalent permissions. For example, you can log on to the server by using an account that is a member of the local Administrators group.

Uninstall

To uninstall SQL Server from Windows 10, Windows Server 2016, Windows Server 2019, and greater, follow these steps:

Download Microsoft Sql Server Developer Edition

1. To begin the removal process navigate to Settings from the Start menu and then choose Apps.

2. Search for sql in the search box.

3. Select Microsoft SQL Server (Version) (Bit). For example, Microsoft SQL Server 2017 (64-bit).

4. Select Uninstall.

5. Select Remove on the SQL Server dialog pop-up to launch the Microsoft SQL Server installation wizard.

6. On the Select Instance page, use the drop-down box to specify an instance of SQL Server to remove, or specify the option to remove only the SQL Server shared features and management tools. To continue, select Next.

7. On the Select Features page, specify the features to remove from the specified instance of SQL Server.

8. On the Ready to Remove page, review the list of components and features that will be uninstalled. Click Remove to begin uninstalling

9. Refresh the Apps and Features window to verify the SQL Server instance has been removed successfully, and determine which, if any, SQL Server components still exist. Remove these components from this window as well, if you so choose.

To uninstall SQL Server from Windows Server 2008, Windows Server 2012 and Windows 2012 R2, follow these steps:

1. To begin the removal process, navigate to the Control Panel and then select Programs and Features.

2. Right-click Microsoft SQL Server (Version) (Bit) and select Uninstall. For example, Microsoft SQL Server 2012 (64-bit).

3. Select Remove on the SQL Server dialog pop-up to launch the Microsoft SQL Server installation wizard.

4. On the Select Instance page, use the drop-down box to specify an instance of SQL Server to remove, or specify the option to remove only the SQL Server shared features and management tools. To continue, select Next.

5. On the Select Features page, specify the features to remove from the specified instance of SQL Server.

6. On the Ready to Remove page, review the list of components and features that will be uninstalled. Click Remove to begin uninstalling

7. Refresh the Programs and Features window to verify the SQL Server instance has been removed successfully, and determine which, if any, SQL Server components still exist. Remove these components from this window as well, if you so choose.

In the event of failure

If the removal process fails, review the SQL Server setup log files to determine the root cause.

The KB article How to identify SQL Server setup issues in the setup log files can assist in the investigation. Though it is for SQL Server 2008, the methodology described is applicable to every version of SQL Server.

See Also