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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).
In late 2018, Microsoft announced SQL Server 2019 Preview, and subsequently announced general release in late 2019. The installation process for SQL Server 2019 is exactly the same as for SQL Server 2017. The only difference is that you need to use the container image for SQL Server 2019 instead of the 2017 image. Here I show you how to do that.
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Also, if you already have SQL Server 2017 installed, and you want to install SQL Server 2019 without removing the 2017 version, you’ll need to allocate a different port number on your host. I show you how to do that too.
Docker
The first step is to install Docker. If you already have Docker installed you can skip this step (and jump straight to SQL Server).
Docker is a platform that enables software to run in its own isolated environment. Therefore, SQL Server 2019 can be run on Docker in its own isolated container.
Install Docker
To download, visit the Docker CE for Mac download page and click Get Docker.
To install, double-click on the .dmg file and then drag the Docker.app icon to your Application folder.
Launch Docker
Launch Docker the same way you’d launch any other application (eg, via the Applications folder, the Launchpad, etc).
When you open Docker, you might be prompted for your password so that Docker can install its networking components and links to the Docker apps. Go ahead and provide your password, as Docker needs this to run.
Increase the Memory
By default, Docker will have 2GB of memory allocated to it. I’d suggest increasing it to 4GB if you can.
To do this:
- Select Preferences from the little Docker icon in the top menu
- Slide the memory slider up to at least 4GB
- Click Apply & Restart
SQL Server
Now that Docker has been installed and configured, we can download and install SQL Server 2019.
Download SQL Server 2019
Open a Terminal window and run the following command.
This downloads the latest SQL Server for Linux Docker image to your computer.
You can also check for the various container image options on the Docker website if you wish.
Note that, at the time I wrote this article, I used the following image:
Therefore, all examples below reflect that version.
Launch the Docker Image
Run the following command to launch an instance of the Docker image you just downloaded:
Just change
Bart
to a name of your choosing, andreallyStrongPwd#123
to a password of your choosing.If you get a “port already allocated” error, see below.
Here’s an explanation of the parameters:
-e 'ACCEPT_EULA=Y'
- The
Y
shows that you agree with the EULA (End User Licence Agreement). This is required. -e 'SA_PASSWORD=reallyStrongPwd#123'
- Required parameter that sets the
sa
database password. -p 1433:1433
- This maps the local port 1433 to port 1433 on the container. The first value is the TCP port on the host environment. The second value is the TCP port in the container.
--name Bart
- Another optional parameter. This parameter allows you to name the container. This can be handy when stopping and starting your container from the Terminal. You might prefer to give it a more descriptive name like
sql_server_2019
or similar. -d
- This optional parameter launches the Docker container in daemon mode. This means that it runs in the background and doesn’t need its own Terminal window open. You can omit this parameter to have the container run in its own Terminal window.
mcr.microsoft.com/mssql/server:2019-CTP3.2-ubuntu
- This tells Docker which image to use.
Password Strength
You need to use a strong password. Microsoft says this about the password:
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.
Error – “Port already allocated”?
If you get an error that says something about “port is already allocated”, then perhaps you already have SQL Server installed on another container that uses that port. In this case, you’ll need to map to a different port on the host.
Therefore, you could change the above command to something like this:
In this case I simply changed
-p 1433:1433
to-p 1400:1433
. Everything else remains the same.You may now get an error saying that you need to remove the existing container first. To do that, run the following (but swap
Bart
with the name of your own container):Once removed, you can try running the previous command again.
Note that if you change the port like I’ve done here, you will probably need to include the port number when connecting to SQL Server from any database tools from your desktop. For example, when connecting via the Azure Data Studio (mentioned below), you can connect by using
Localhost,1400
instead of justLocalhost
. Same with mssql-cli, which is a command line SQL tool.
Check Everything
Now that we’ve done that, we should be good to go. Let’s go through and run a few checks.
Check the Docker container (optional)
You can type the following command to check that the Docker container is running.
In my case I get this:
This tells me that I have two docker containers up and running: one called Bart and the other called Homer.
Connect to SQL Server
Here we use the SQL Server command line tool called “sqlcmd” inside the container to connect to SQL Server.
Enter your password if prompted.
Now that you’re inside the container, connect locally with sqlcmd:
This should bring you to the sqlcmd prompt 1>.
Run a Quick Test
Run a quick test to check that SQL Server is up and running. For example, check the SQL Server version by entering this:
This will bring you to a command prompt 2> on the next line. To execute the query, enter:
Result:
If you see a message like this, congratulations — SQL Server is now up and running on your Mac!
If you prefer to use a GUI to manage SQL Server, read on.
Azure Data Studio
Azure Data Studio is a free GUI management tool that you can use to manage SQL Server on your Mac. You can use it to create and manage databases, write queries, backup and restore databases, and more.
Azure Data Studio is available on Windows, Mac and Linux.
Here are some articles/tutorials I’ve written for Azure Data Studio:
Another Free SQL Server GUI – DBeaver
Another SQL Server GUI tool that you can use on your Mac (and Windows/Linux/Solaris) is DBeaver.
DBeaver is a free, open source database management tool that can be used on most database management systems (such as MySQL, PostgreSQL, MariaDB, SQLite, Oracle, DB2, SQL Server, Sybase, Microsoft Access, Teradata, Firebird, Derby, and more).
I wrote a little introduction to DBeaver, or you can go straight to the DBeaver download page and try it out with your new SQL Server installation.
-->SQL Server Data Tools (SSDT) is a modern development tool for building SQL Server relational databases, databases in Azure SQL, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. With SSDT, you can design and deploy any SQL Server content type with the same ease as you would develop an application in Visual Studio.
SSDT for Visual Studio 2019
Changes in SSDT for Visual Studio 2019
The core SSDT functionality to create database projects has remained integral to Visual Studio.
With Visual Studio 2019, the required functionality to enable Analysis Services, Integration Services, and Reporting Services projects has moved into the respective Visual Studio (VSIX) extensions only.
Note
There's no SSDT standalone installer for Visual Studio 2019.
Install SSDT with Visual Studio 2019
If Visual Studio 2019 is already installed, you can edit the list of workloads to include SSDT. If you don’t have Visual Studio 2019 installed, then you can download and install Visual Studio 2019 Community.
To modify the installed Visual Studio workloads to include SSDT, use the Visual Studio Installer.
Launch the Visual Studio Installer. In the Windows Start menu, you can search for 'installer'.
In the installer, select for the edition of Visual Studio that you want to add SSDT to, and then choose Modify.
Select SQL Server Data Tools under Data storage and processing in the list of workloads.
For Analysis Services, Integration Services, or Reporting Services projects, you can install the appropriate extensions from within Visual Studio with Extensions > Manage Extensions or from the Marketplace.
SSDT for Visual Studio 2017
Changes in SSDT for Visual Studio 2017
Starting with Visual Studio 2017, the functionality of creating Database Projects has been integrated into the Visual Studio installation. There's no need to install the SSDT standalone installer for the core SSDT experience.
Now to create Analysis Services, Integration Services, or Reporting Services projects, you still need the SSDT standalone installer.
Install SSDT with Visual Studio 2017
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To install SSDT during Visual Studio installation, select the Data storage and processing workload, and then select SQL Server Data Tools.
If Visual Studio is already installed, use the Visual Studio Installer to modify the installed workloads to include SSDT.
Launch the Visual Studio Installer. In the Windows Start menu, you can search for 'installer'.
In the installer, select for the edition of Visual Studio that you want to add SSDT to, and then choose Modify.
Select SQL Server Data Tools under Data storage and processing in the list of workloads.
Install Analysis Services, Integration Services, and Reporting Services tools
To install Analysis Services, Integration Services, and Reporting Services project support, run the SSDT standalone installer.
The installer lists available Visual Studio instances to add SSDT tools. If Visual Studio isn't already installed, selecting Install a new SQL Server Data Tools instance installs SSDT with a minimal version of Visual Studio, but for the best experience, we recommend using SSDT with the latest version of Visual Studio.
SSDT for VS 2017 (standalone installer)
Important
- Before installing SSDT for Visual Studio 2017 (15.9.6), uninstall Analysis Services Projects and Reporting Services Projects extensions if they are already installed, and close all VS instances.
- Removed the inbox component Power Query Source for SQL Server 2017. Now we have announced Power Query Source for SQL Server 2017 & 2019 as out-of-box component, which can be downloaded here.
- To design packages using Oracle and Teradata connectors and targeting an earlier version of SQL Server prior to SQL 2019, in addition to the Microsoft Oracle Connector for SQL 2019 and Microsoft Teradata Connector for SQL 2019, you need to also install the corresponding version of Microsoft Connector for Oracle and Teradata by Attunity.
Release Notes
For a complete list of changes, see Release notes for SQL Server Data Tools (SSDT).
System requirements
Sql Server Mac
SSDT for Visual Studio 2017 has the same system requirements as Visual Studio.
Available Languages - SSDT for VS 2017
This release of SSDT for VS 2017 can be installed in the following languages:
Considerations and limitations
You can’t install the community version offline
To upgrade SSDT, you need to follow the same path used to install SSDT. For example, if you added SSDT using the VSIX extensions, then you must upgrade via the VSIX extensions. If you installed SSDT via a separate install, then you need to upgrade using that method.
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Offline install
To install SSDT when you’re not connected to the internet, follow the steps in this section. For more information, see Create a network installation of Visual Studio 2017.
First, complete the following steps while online:
Download the SSDT standalone installer.
Download vs_sql.exe.
While still online, execute one of the following commands to download all the files required for installing offline. Using the
--layout
option is the key, it downloads the actual files for the offline installation. Replace<filepath>
with the actual layouts path to save the files.- For a specific language, pass the locale:
vs_sql.exe --layout c:<filepath> --lang en-us
(a single language is ~1 GB). - For all languages, omit the
--lang
argument:vs_sql.exe --layout c:<filepath>
(all languages are ~3.9 GB).
- For a specific language, pass the locale:
After completing the previous steps, the following steps below can be done offline:
Run
vs_setup.exe --NoWeb
to install the VS2017 Shell and SQL Server Data Project.From the layouts folder, run
SSDT-Setup-ENU.exe /install
and select SSIS/SSRS/SSAS.a. For an unattended installation, runSSDT-Setup-ENU.exe /INSTALLALL[:vsinstances] /passive
.
For available options, run SSDT-Setup-ENU.exe /help
Note
If using a full version of Visual Studio 2017, create an offline folder for SSDT only, and run SSDT-Setup-ENU.exe
from this newly created folder (don’t add SSDT to another Visual Studio 2017 offline layout). If you add the SSDT layout to an existing Visual Studio offline layout, the necessary runtime (.exe) components are not created there.
Supported SQL versions
Project Templates | SQL Platforms Supported |
---|---|
Relational databases | SQL Server 2005* - SQL Server 2017 (use SSDT 17.x or SSDT for Visual Studio 2017 to connect to SQL Server on Linux) Azure SQL Database Azure Synapse Analytics (supports queries only; database projects aren't yet supported) * SQL Server 2005 support is deprecated, move to an officially supported SQL version |
Analysis Services models Reporting Services reports | SQL Server 2008 - SQL Server 2017 |
Integration Services packages | SQL Server 2012 - SQL Server 2019 |
DacFx
SSDT for Visual Studio 2015 and 2017 both use DacFx 17.4.1: Download Data-Tier Application Framework (DacFx) 17.4.1.
Previous versions
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To download and install SSDT for Visual Studio 2015, or an older version of SSDT, see Previous releases of SQL Server Data Tools (SSDT and SSDT-BI).
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See Also
Next steps
After installing SSDT, work through these tutorials to learn how to create databases, packages, data models, and reports using SSDT.