SQL Server 2019 makes it easier to manage a big data environment. It provides key elements of a data lake—Hadoop Distributed File System (HDFS), Spark, and analytics tools—deeply integrated with SQL Server and fully supported by Microsoft. Easily deploy using Linux containers on a Kubernetes-managed cluster. Yes, you can restore a SQL backup file (.bak) created on Windows! You can start by creating a backup of your existing database using SQL Server Management Studio running on your Windows PC/Server. Generate a backup file Right-click on your database; Click Tasks - Back Up. Note where the backup file will be created, modify if necessary. Microsoft Lifecycle Policy The Microsoft Lifecycle Policy gives you consistent and predictable guidelines for the availability of support throughout the life of a product. The information on this Lifecycle Policy site is subject to the Microsoft Policy Disclaimer and Change Notice. SQL Server, by default, listens for connections on TCP port 1433. Microsoft/mssql-server-linux: this final parameter tells Docker which image to use Install SQL Client for MAC.
This article explains how to install the Microsoft ODBC Driver for SQL Server on Linux and macOS, as well as the optional Command-Line Tools for SQL Server (
bcp and sqlcmd ) and the unixODBC Development Headers.
Microsoft ODBC Driver 17 for SQL Server
Important
If you installed the v17
msodbcsql package that was briefly available, you should remove it before installing the msodbcsql17 Clipgrab for mac. package. This will avoid conflicts. The msodbcsql17 package can be installed side by side with the msodbcsql v13 package.
DebianRedHat Enterprise ServerSUSE Linux Enterprise ServerUbuntu
Note
MacOSMicrosoft ODBC Driver 13.1 for SQL ServerDebian 8RedHat Enterprise Server 6RedHat Enterprise Server 7SUSE Linux Enterprise Server 11SUSE Linux Enterprise Server 12Ubuntu 15.10Ubuntu 16.04Ubuntu 16.10OS X 10.11 (El Capitan) and macOS 10.12 (Sierra)Microsoft ODBC Driver 13 for SQL ServerRedHat Enterprise Server 6Sql Developer Download For Windows 10RedHat Enterprise Server 7Ubuntu 15.10Ubuntu 16.04SUSE Linux Enterprise Server 12Offline installation
If you prefer/require the Microsoft ODBC Driver 13 to be installed on a computer with no internet connection, you will need to resolve package dependencies manually. The Microsoft ODBC Driver 13 has the following direct dependencies:
Each of these packages in turn has their own dependencies, which may or may not be present on the system. For a general solution to this issue, refer to your distribution's package manager documentation: Redhat, Ubuntu, and SUSE
It is also common to manually download all the dependent packages and place them together on the installation computer, then manually install each package in turn, finishing with the Microsoft ODBC Driver 13 package.
Redhat Linux Enterprise Server 7
Ubuntu 16.04Microsoft Sql Server For Mac Download
SUSE Linux Enterprise Server 12
Once you have completed the package installation, you can verify that the Microsoft ODBC Driver 13 can find all its dependencies by running ldd and inspecting its output for missing libraries:
Microsoft ODBC Driver 11 for SQL Server on Linux
https://yellowfreelance572.weebly.com/blog/open-office-downloads-for-mac. Before you can use the driver, install the unixODBC driver manager. For more information, see Installing the Driver Manager.
Installation Steps
Important
These instructions refer to
msodbcsql-11.0.2270.0.tar.gz , which is installation file for Red Hat Linux. If you are installing the Preview for SUSE Linux, the file name is msodbcsql-11.0.2260.0.tar.gz .
https://yellowfreelance572.weebly.com/blog/r-software-for-mac. To install the driver: Wireless mouse for mac.
Installation puts the driver in
/opt/microsoft/msodbcsql/11.0.2270.0 . The driver and its support files must be in /opt/microsoft/msodbcsql/11.0.2270.0 .
To verify that the Microsoft ODBC driver on Linux was registered successfully, execute the following command:
odbcinst -q -d -n 'ODBC Driver 11 for SQL Server' .
Use Existing MSDN C++ ODBC Samples for the ODBC Driver on Linux shows a code sample that connects to SQL Server using the ODBC driver on Linux.
Uninstalling
You can uninstall the ODBC driver 11 on Linux by executing the following commands:
Troubleshooting Connection Problems
If you are unable to make a connection to SQL Server using the ODBC driver, use the following information to identify the problem.
The most common connection problem is to have two copies of the UnixODBC Driver Manager installed. Search /usr for libodbc*.so*. If you see more than one version of the file, you (possibly) have more than one driver manager installed. Your application might use the wrong version.
Enable the connection log by editing your
/etc/odbcinst.ini file to contain the following section with these items:
If you get another connection failure and do not see a log file, there (possibly) are two copies of the driver manager on your computer. Otherwise, the log output should be similar to the following:
![]()
If the ASCII character encoding is not UTF-8, for example:
There is more than one Driver Manager installed and your application is using the wrong one, or the Driver Manager was not built correctly.
For more information about resolving connection failures, see:
Driver Files
The ODBC Driver on Linux and MacOS consists of the following components:
Linux
Ms Sql Server For MacMacOS
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 paths are:
Linux:
/opt/microsoft/msodbcsql17/share/resources/en_US/
MacOS:
/usr/local/share/msodbcsql17/resources/en_US/
See Also
After the Announcement of .Net Core -v 1.0 back in 2016, it was kind of a relief for most of the .Net Developers( including me ). Developers, who used to rely on Windows Platform to Develop .Net Web Application saw an opportunity to achieve the same using Linux/Mac Platform after the release of .Net Core.
Being in the Initial stages, .Net Core was not mature enough to compete with other Web Technologies like PHP or Python which were already platform-independent. Again in 2017, Microsoft announced the new Release of .Net Core( v 2.0 ) which was much more stable than the earlier version.
Now developers with the Knowledge and experience in C# or F# can easily develop web application on their favourite Operation System. But the question is –
What about SQL Server?
Unfortunately, Microsoft didn’t make SQL Server Platform-Independent. Instead, Microsoft announced SQL Server 2017 for Linux. Seeing the features and benefits of Docker, Microsoft released the Docker image of “SQL Server 2017 Linux”. With the help of Docker, we can easily run Sql Server and connect our .Net application to it on our Mac.
Now, we are going to see –
Installing and Running Docker
First step is to Download the Docker For Mac from this link.
To download docker from the docker store, you need to Sign Up/ Login In first. Once you’re logged in, you would be able to see the download (Get Docker) button –
This will download the dmg Image which is default for MAC OS to install application. Installer will ask you to move Docker to your Applications Folder. Once copied, launch Docker and make sure it is running by checking the status in the menu bar.
Running SQL Server using Docker![]()
Docker is up and running. Next step is to Download the Container Image of SQL Server 2017 Linux provided by Microsoft.
Fire your Terminal, and type the following command –
This will download the docker image and once downloaded, type the following command or just copy and paste for now –
SA_PASSWORD= Password For Default sa Account
–name ”Name For the Container”
-p 1433:1433 Port Mapping From Docker Container Port No to Host Port No
This command will –
Sql Server For Mac Os X Free Download
To see the list of Docker Containers with their statuses, type in the following command . –
Sql Server For Mac Download
As you can see, docker named “mssqlserver” is Up and running and mapped to port no 1433 of the host.
Connecting to SQL Server
Now it’s time to see SQL Server in action. We will be using SQL Operations Studio by Microsoft to connect to SQL Server. Download Operations Studio from this link.
Once downloaded, open the application and connect to the running server. As we Provided same port No (1433) for the container and the host, we can mention the server as localhost,1433
Filling out the other Details –
Server – localhost,1433
Authentication Type – SQL Login User name – sa Password – abcd@1234
Password is same which we mentioned earlier while accepting the agreement and launching the container.
and clicking Connect.
We’ll be able to do SQL Operations just like we used to do on Windows Platform. Refer the Following Screenshots.
Creating Tables for the Selected Database
Running Select Command to View the Table Tuples.
Summary :
In this tutorial, we saw how to install and run Docker. We saw how easy it is to run SQL Server on Mac OS. And Finally, how we can use SQL Operations Studio to visualise the Database and Tables Entries.
Similarly, we can connect our .Net application to the “docker container” running SQL Server using Linux Image.
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