Install SQL Server directly to your Mac — no virtual machine required!
Microsoft has made SQL Server available for macOS and Linux systems. This is made possible by running SQL Server from a Docker container. Therefore, there's no need to install a virtual machine with Windows (which was the only way to run SQL Server on a Mac prior to SQL Server 2017).
Mysql Download Mac Os
Because SQL Operations Studio is no longer being updated or supported, we ask all SQL Operations Studio users to download the latest version of Azure Data Studio to get the latest features, security updates, and fixes. When upgrading from the old preview to the latest Azure Data Studio, you will lose your current settings and extensions. Jul 30, 2017.
Install and Configure Docker
This is a prerequisite for installing SQL Server on your Mac. Because the Mac runs SQL Server inside a Docker container, the first thing we need to do is download and install Docker (unless it's already installed). Once installed, we'll increase its memory allocation to a more suitable level for running SQL Server.
If I've confused you, don't worry. I've written a tutorial with screenshots: Install Docker on a Mac and Configure for SQL Server.
OK, we're now ready to install SQL Server on your Mac.
Now the Actual SQL Server Installation
Now that we've installed Docker and increased its memory allocation, we can go ahead and install SQL Server. The Mac uses the Linux image (the SQL Server for Linux Docker image).
Check your Installation & Manage SQL Server
Now that you've installed SQL Server on your Mac, you'll probably want to check that you can access it and query it, etc. Then you'll probably want to start creating databases and doing other DB-related tasks. You'll need some sort of management tool for this.
Here are three options:
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This article explains how to install the Microsoft ODBC Driver for SQL Server on macOS. It also includes instructions for the optional command-line tools for SQL Server (
bcp and sqlcmd ) and the unixODBC development headers.
This article provides commands for installing the ODBC driver from the bash shell. If you want to download the packages directly, see Download ODBC Driver for SQL Server.
Microsoft ODBC 17
To install Microsoft ODBC driver 17 for SQL Server on macOS, run the following commands:
Important
If you installed the v17
msodbcsql package that was briefly available, you should remove it before installing the msodbcsql17 package. This will avoid conflicts. The msodbcsql17 package can be installed side by side with the msodbcsql v13 package.
Previous versions
The following sections provide instructions for installing previous versions of the Microsoft ODBC driver on macOS.
ODBC 13.1
Use the following commands to install the Microsoft ODBC driver 13.1 for SQL Server on OS X 10.11 (El Capitan) and macOS 10.12 (Sierra):
Driver files
The ODBC driver on macOS consists of the following components:
Resource file loading
The driver needs to load the resource file in order to function. This file is called
msodbcsqlr17.rll or msodbcsqlr13.rll depending on the driver version. The location of the .rll file is relative to the location of the driver itself (so or dylib ), as noted in the table above. As of version 17.1 the driver will also attempt to load the .rll from the default directory if loading from the relative path fails. The default resource file path on macOS is /usr/local/share/msodbcsql17/resources/en_US/
Troubleshooting
Some users encounter an issue when trying to connect after installing the ODBC driver and receive an error like:
'[01000] [unixODBC][Driver Manager]Can't open lib 'ODBC Driver 17 for SQL Server' : file not found (0) (SQLDriverConnect)' . It may be the case that unixODBC is not configured correctly to find registered drivers. In these cases, creating a couple symbolic links can resolve the issue.
For additional cases where you are unable to make a connection to SQL Server using the ODBC driver, see the known issues article on troubleshooting connection problems.
Next steps
After installing the driver, you can try the C++ ODBC example application. For more information about developing ODBC applications, see Developing Applications.
For more information, see the ODBC driver release notes and system requirements.
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