Microsoft Sql Server Management Studio 2017 For Mac

Posted : admin | On 11-05-2021

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

SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. SSMS provides tools to configure, monitor, and administer instances of SQL Server and databases. Use SSMS to deploy, monitor, and upgrade thes new

For details and more information about what's new in this release, see SSMS release notes.

There are a few known issues with this release.

Previous versions

This article is for the latest version of SSMS only. To download previous versions of SSMS, visit Previous SSMS releases.

Unattended install

You can also install SSMS using a command prompt script.

If you want to install SSMS in the background with no GUI prompts, then follow the steps below.

  1. Launch the command prompt with elevated permissions.

  2. Type the command below in the command prompt.

    Example:

    You can also pass /Passive instead of /Quiet to see the setup UI.

  3. If all goes well, you can see SSMS installed at %systemdrive%SSMStoCommon7IDESsms.exe' based on the example. If something went wrong, you could inspect the error code returned and take a peek at the %TEMP%SSMSSetup for the log file.

Supported SQL offerings (SSMS 18.5)

  • This version of SSMS works with all supported versions of SQL Server 2008 - SQL Server 2019 (15.x) and provides the greatest level of support for working with the latest cloud features in Azure SQL Database and Azure SQL Data Warehouse.
  • Additionally, SSMS 18.x can be installed side by side with SSMS 17.x, SSMS 16.x, or SQL Server 2014 SSMS and earlier.
  • SQL Server Integration Services (SSIS) - SSMS version 17.x or later doesn't support connecting to the legacy SQL Server Integration Services service. To connect to an earlier version of the legacy Integration Services, use the version of SSMS aligned with the version of SQL Server. For example, use SSMS 16.x to connect to the legacy SQL Server 2016 Integration Services service. SSMS 17.x and SSMS 16.x can be installed side by side on the same computer. Since the release of SQL Server 2012, the SSIS Catalog database, SSISDB, is the recommended way to store, manage, run, and monitor Integration Services packages. For details, see SSIS Catalog.

Supported operating systems (SSMS 18.5)

This release of SSMS supports the following 64-bit platforms when used with the latest available service pack:

  • Windows 10 (64-bit) *
  • Windows 8.1 (64-bit)
  • Windows Server 2019 (64-bit)
  • Windows Server 2016 (64-bit) *
  • Windows Server 2012 R2 (64-bit)
  • Windows Server 2012 (64-bit)
  • Windows Server 2008 R2 (64-bit)
Mac

* Requires version 1607 (10.0.14393) or later

Note

SSMS runs on Windows (AMD or Intel) only. If you need a tool that runs on platforms other than Windows, take a look at Azure Data Studio. Azure Data Studio is a new cross-platform tool that runs on macOS, Linux, as well as Windows. For details, see Azure Data Studio.

Get help for SQL tools

See also

Contribute to SQL documentation

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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.

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:

    ParameterDescription
    -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 1433:1433Map 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 sql1Specify 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-latestThe 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. 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:

    ParameterDescription
    -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 1433:1433Map 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 sql1Specify 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-18.04The 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.

2018

Sql Server Express

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.

Microsoft Sql Server Management Studio Download For Mac

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