Ms Sql Server For Mac Os

broken image


For the first time, SQL Server 2017 allows users to install the product on Linux. This opens the doors for working with fully-featured SQL Server database engines on MacOS through freely distributable Docker containers. With the addition of a new graphical user interface that's in public preview, Mac users can now leverage the same industry-leading database platform that has previously only been available to Windows users, all on their local computer. Let me show you how to get started in three easy steps.

Server

How to learn SQL in OS X. Once you've got SQLite set up in Mac OS X, it's time to start learning how to use it. Forutnately there are no shortage of courses and books out there that will help you. 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). Install and Configure Docker. Get started with Microsoft SQL Server downloads. Choose a SQL Server trial, edition, tool, or connector that best meets your data and workload needs.

1. Install Docker

The first step is to install Docker. Start at https://store.docker.com/editions/community/docker-ce-desktop-mac, and click the Get Docker button on the top right. That will download a disc image containing the application. Drag Docker.app into your Applications folder and give it a double-click to launch. Look for the Docker icon in the top menu bar. When the animation stops, Docker is ready to go. Step one: done.

2. Pull the SQL Server 2017 container

Microsoft

Next, start up Terminal.app. This is where you'll issue commands to Docker. Microsoft provides pre-configured images that include the Developer edition of SQL Server 2017 running on Ubuntu Linux. You can pull the most recent version with the following command.

After supplying your MacOS Administrator password, the image is downloaded.

Docker images need to be unpacked into containers, and a single image can be used to create as many identical containers as you'd like; just be sure to give them unique names. The following command will create a single container called 'sqlserver1' from the image you just downloaded. A couple of points:

  • Note that you'll want to provide your own strong password for the SQL Server System Administrator account. Just replace 'YourStrong!Passw0rd' with something better.

  • Port 1401 on the local computer will be forwarded to SQL Server's default listening port of 1433 inside the container. This will be important to remember later.

  • Make sure that you forward a different port to 1433 if you decide to create additional containers.

To verify that everything is working as intended, you can check the status of Docker's containers.

You should see a line for the container and, hopefully, a status of 'up.' If you see 'exited' here, go back and double check the previous commands were typed correctly. You can also try 'docker stop sqlserver1' followed by 'docker start sqlserver1' to reset the server. With the container now running, you're done with step two.

3. Install SQL Operations Studio

Microsoft is in the beginning stages of developing a cross-platform graphical user interface for SQL Server called SQL Operations Studio. Though it's still in an early public preview, SQL Ops Studio is already showing promise as a robust, lightweight interface that brings the best of SQL Server Management Studio (a venerable workhorse, but sadly Windows-only) over to the Mac and Linux platforms. The Ops Studio GitHub page will be your source of information as the project progresses. Head over to the GitHub repository, scroll down to the first section of the readme and download the MacOS zip containing the latest stable preview.

Upon Operations Studio's first launch, the Connection window will automatically prompt you for login credentials. Use 'localhost' as the name of the server, 'SA' as the user name, and fill in the password that you established when the Docker container was created. Then press the Advanced button, and scroll through the properties list until you get to the General section. Fill in the port number of 1401 here, or whichever port you're passing to SQL Server's 1433 listening port. Press OK, then Connect.

That should connect, and pass you back to the main interface. If you've ever seen Visual Studio Code, then you'll instantly recognize the interface's clean and well-organized layout. On the left is a listing of servers you're connected to. Expand the server folder to explore databases, security items and so on.

You're now up and running with the SQL Server database engine running in a Docker container, and you can manage it with Operations Studio on your Mac!

Bonus step 4. Start working with your new SQL Database Engine

What good is a server without a database? Right-click the Databases folder, and choose New Query. In the SQLQuery1 tab, type in the following command.

Press the Run button to create your first database, which you should see pop up under the Databases folder. You might need to right-click the databases folder and choose Refresh if it doesn't show up immediately.

Operations Studio has a great feature called Snippets that help you quickly write common T-SQL commands. Clear out the CREATE DATABASE statement and change the Connection drop-down at the top to MyDatabase. Type 'sql' to see the list of included snippets presented in the IntelliSense popup box.

Arrow down to sqlCreateTable and press Return. Operations Studio fills in all of the T-SQL to help you create a table in the database.

Notice that all of the TableName placeholders are selected, ready for you to overwrite them with your own name. Type it once, and each one gets updated simultaneously. Press the tab key to move over to SchemaName and change that to 'dbo' (since we haven't created any other schemas at this point). Then all that's left is to modify the Column1 and Column2 placeholders on lines 10 and 11, choose appropriate data types, and add additional columns as needed.

Ms sql server for mac os 10.12

Press the Run button when done to create your first table, in your first database, on your SQL Server instance, running on Ubuntu Linux, inside of a Docker container, on your Mac.

You're done!

Welcome from SQL Server 2017: Linux, Docker, and macOS by Adam Wilbert

','resolvedBy':'manual','resolved':true}'>

Welcome from SQL Server 2017: Linux, Docker, and macOS by Adam Wilbert

Dig in deeper with my course SQL Server 2017: Linux, Docker, and MacOS

I go into way more detail on the process of working with SQL Server on these newly available platforms in my newest course here on LinkedIn Learning. In it, I demonstrate the process of setting up SQL Server on Linux, use the sqlcmd command line tool, dive deeper into Docker, and connect instances to and from other machines on the network. Or, for more information on how to use SQL Server now that you're up and running, check out Learn SQL Server 2017.

Adam Wilbert is a LinkedIn Learning / Lynda.com author of over forty courses on SQL Server, Microsoft Access, database design and development, and mapping with ArcGIS. Come say 'hi' on Twitter: @awilbert.

MicrosoftSQL Server JDBC for macOS

Ms Sql Server For Mac Os 10.13

This tutorial shows how to set up a data source and connect to a Microsoft® SQL Server® database using the Database Explorer app or the command line. This tutorial uses the Microsoft JDBC Driver 4.0 for Microsoft SQL Server to connect to a Microsoft SQL Server 2016 Express database.

Step 1. Verify the driver installation.

If the JDBC driver for SQL Server is not installed on your computer, find the link on the Driver Installation page to install the driver. Follow the instructions to download and install this driver on your computer.

Step 2. Set up the data source.

You set up a data source using the Database Explorer app or the command line.

Set Up Data Source Using Database Explorer App

  1. Open the Database Explorer app by clicking the Apps tab on the MATLAB® Toolstrip. Then, on the right of the Apps section, click the Show more arrow to open the apps gallery. Under Database Connectivity and Reporting, click Database Explorer. Alternatively, enter databaseExplorer at the command line.

  2. In the Data Source section, select Configure Data Source > Configure JDBC data source.

    The JDBC Data Source Configuration dialog box opens.

  3. In the Name box, enter a name for your data source. You use this name to establish a connection to your database.

  4. From the Vendor list, select Microsoft SQL Server.

  5. In the Driver Location box, enter the full path to the JDBC driver file.

  6. In the Database box, enter the name of your database. In the Server box, enter the name of your database server. Consult your database administrator for the name of your database server. In the Port Number box, enter the port number.

  7. Under Connection Options, in the Name column, enter the name of an additional driver-specific option. Then, in the Value column, enter the value of the driver-specific option. Click the plus sign to specify additional driver-specific options.

  8. Click . The Test Connection dialog box opens. Enter the user name and password for your database, or leave these boxes blank if your database does not require them. Click .

    If your connection succeeds, the Database Explorer dialog box displays a message indicating the connection is successful. Otherwise, it displays an error message.

  9. Click . The JDBC Data Source Configuration dialog box displays a message indicating the data source is saved successfully. Close this dialog box.

Set Up Data Source Using Command Line

  1. Create a JDBC data source for an SQL Server database.

  2. Set the JDBC connection options. For example, this code assumes that you are connecting to a JDBC data source named MSSQLServer, full path of the JDBC driver file /home/user/DB_Drivers/sqljdbc4.jar, database name toystore_doc, database server dbtb04, and port number 54317.

  3. Test the database connection by specifying the user name username and password pwd, or leave these arguments blank if your database does not require them.

  4. Save the JDBC data source.

After you complete the data source setup, connect to the SQL Server database using the Database Explorer app or the JDBC driver and command line.

Mac

How to learn SQL in OS X. Once you've got SQLite set up in Mac OS X, it's time to start learning how to use it. Forutnately there are no shortage of courses and books out there that will help you. 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). Install and Configure Docker. Get started with Microsoft SQL Server downloads. Choose a SQL Server trial, edition, tool, or connector that best meets your data and workload needs.

1. Install Docker

The first step is to install Docker. Start at https://store.docker.com/editions/community/docker-ce-desktop-mac, and click the Get Docker button on the top right. That will download a disc image containing the application. Drag Docker.app into your Applications folder and give it a double-click to launch. Look for the Docker icon in the top menu bar. When the animation stops, Docker is ready to go. Step one: done.

2. Pull the SQL Server 2017 container

Next, start up Terminal.app. This is where you'll issue commands to Docker. Microsoft provides pre-configured images that include the Developer edition of SQL Server 2017 running on Ubuntu Linux. You can pull the most recent version with the following command.

After supplying your MacOS Administrator password, the image is downloaded.

Docker images need to be unpacked into containers, and a single image can be used to create as many identical containers as you'd like; just be sure to give them unique names. The following command will create a single container called 'sqlserver1' from the image you just downloaded. A couple of points:

  • Note that you'll want to provide your own strong password for the SQL Server System Administrator account. Just replace 'YourStrong!Passw0rd' with something better.

  • Port 1401 on the local computer will be forwarded to SQL Server's default listening port of 1433 inside the container. This will be important to remember later.

  • Make sure that you forward a different port to 1433 if you decide to create additional containers.

To verify that everything is working as intended, you can check the status of Docker's containers.

You should see a line for the container and, hopefully, a status of 'up.' If you see 'exited' here, go back and double check the previous commands were typed correctly. You can also try 'docker stop sqlserver1' followed by 'docker start sqlserver1' to reset the server. With the container now running, you're done with step two.

3. Install SQL Operations Studio

Microsoft is in the beginning stages of developing a cross-platform graphical user interface for SQL Server called SQL Operations Studio. Though it's still in an early public preview, SQL Ops Studio is already showing promise as a robust, lightweight interface that brings the best of SQL Server Management Studio (a venerable workhorse, but sadly Windows-only) over to the Mac and Linux platforms. The Ops Studio GitHub page will be your source of information as the project progresses. Head over to the GitHub repository, scroll down to the first section of the readme and download the MacOS zip containing the latest stable preview.

Upon Operations Studio's first launch, the Connection window will automatically prompt you for login credentials. Use 'localhost' as the name of the server, 'SA' as the user name, and fill in the password that you established when the Docker container was created. Then press the Advanced button, and scroll through the properties list until you get to the General section. Fill in the port number of 1401 here, or whichever port you're passing to SQL Server's 1433 listening port. Press OK, then Connect.

That should connect, and pass you back to the main interface. If you've ever seen Visual Studio Code, then you'll instantly recognize the interface's clean and well-organized layout. On the left is a listing of servers you're connected to. Expand the server folder to explore databases, security items and so on.

You're now up and running with the SQL Server database engine running in a Docker container, and you can manage it with Operations Studio on your Mac!

Bonus step 4. Start working with your new SQL Database Engine

What good is a server without a database? Right-click the Databases folder, and choose New Query. In the SQLQuery1 tab, type in the following command.

Press the Run button to create your first database, which you should see pop up under the Databases folder. You might need to right-click the databases folder and choose Refresh if it doesn't show up immediately.

Operations Studio has a great feature called Snippets that help you quickly write common T-SQL commands. Clear out the CREATE DATABASE statement and change the Connection drop-down at the top to MyDatabase. Type 'sql' to see the list of included snippets presented in the IntelliSense popup box.

Arrow down to sqlCreateTable and press Return. Operations Studio fills in all of the T-SQL to help you create a table in the database.

Notice that all of the TableName placeholders are selected, ready for you to overwrite them with your own name. Type it once, and each one gets updated simultaneously. Press the tab key to move over to SchemaName and change that to 'dbo' (since we haven't created any other schemas at this point). Then all that's left is to modify the Column1 and Column2 placeholders on lines 10 and 11, choose appropriate data types, and add additional columns as needed.

Press the Run button when done to create your first table, in your first database, on your SQL Server instance, running on Ubuntu Linux, inside of a Docker container, on your Mac.

You're done!

Welcome from SQL Server 2017: Linux, Docker, and macOS by Adam Wilbert

','resolvedBy':'manual','resolved':true}'>

Welcome from SQL Server 2017: Linux, Docker, and macOS by Adam Wilbert

Dig in deeper with my course SQL Server 2017: Linux, Docker, and MacOS

I go into way more detail on the process of working with SQL Server on these newly available platforms in my newest course here on LinkedIn Learning. In it, I demonstrate the process of setting up SQL Server on Linux, use the sqlcmd command line tool, dive deeper into Docker, and connect instances to and from other machines on the network. Or, for more information on how to use SQL Server now that you're up and running, check out Learn SQL Server 2017.

Adam Wilbert is a LinkedIn Learning / Lynda.com author of over forty courses on SQL Server, Microsoft Access, database design and development, and mapping with ArcGIS. Come say 'hi' on Twitter: @awilbert.

MicrosoftSQL Server JDBC for macOS

Ms Sql Server For Mac Os 10.13

This tutorial shows how to set up a data source and connect to a Microsoft® SQL Server® database using the Database Explorer app or the command line. This tutorial uses the Microsoft JDBC Driver 4.0 for Microsoft SQL Server to connect to a Microsoft SQL Server 2016 Express database.

Step 1. Verify the driver installation.

If the JDBC driver for SQL Server is not installed on your computer, find the link on the Driver Installation page to install the driver. Follow the instructions to download and install this driver on your computer.

Step 2. Set up the data source.

You set up a data source using the Database Explorer app or the command line.

Set Up Data Source Using Database Explorer App

  1. Open the Database Explorer app by clicking the Apps tab on the MATLAB® Toolstrip. Then, on the right of the Apps section, click the Show more arrow to open the apps gallery. Under Database Connectivity and Reporting, click Database Explorer. Alternatively, enter databaseExplorer at the command line.

  2. In the Data Source section, select Configure Data Source > Configure JDBC data source.

    The JDBC Data Source Configuration dialog box opens.

  3. In the Name box, enter a name for your data source. You use this name to establish a connection to your database.

  4. From the Vendor list, select Microsoft SQL Server.

  5. In the Driver Location box, enter the full path to the JDBC driver file.

  6. In the Database box, enter the name of your database. In the Server box, enter the name of your database server. Consult your database administrator for the name of your database server. In the Port Number box, enter the port number.

  7. Under Connection Options, in the Name column, enter the name of an additional driver-specific option. Then, in the Value column, enter the value of the driver-specific option. Click the plus sign to specify additional driver-specific options.

  8. Click . The Test Connection dialog box opens. Enter the user name and password for your database, or leave these boxes blank if your database does not require them. Click .

    If your connection succeeds, the Database Explorer dialog box displays a message indicating the connection is successful. Otherwise, it displays an error message.

  9. Click . The JDBC Data Source Configuration dialog box displays a message indicating the data source is saved successfully. Close this dialog box.

Set Up Data Source Using Command Line

  1. Create a JDBC data source for an SQL Server database.

  2. Set the JDBC connection options. For example, this code assumes that you are connecting to a JDBC data source named MSSQLServer, full path of the JDBC driver file /home/user/DB_Drivers/sqljdbc4.jar, database name toystore_doc, database server dbtb04, and port number 54317.

  3. Test the database connection by specifying the user name username and password pwd, or leave these arguments blank if your database does not require them.

  4. Save the JDBC data source.

After you complete the data source setup, connect to the SQL Server database using the Database Explorer app or the JDBC driver and command line.

Step 3. Connect using the Database Explorer app or the command line.

Connect to SQL Server Using Database Explorer App

  1. On the Database Explorer tab, in the Connections section, click and select the data source for the connection.

  2. In the connection dialog box, enter a user name and password, or leave these boxes blank if your database does not require them. Click .

    The Catalog and Schema dialog box opens.

  3. Select the catalog and schema from the Catalog and Schema lists. Click .

    The app connects to the database and displays its tables in the Data Browser pane. A data source tab appears to the right of the pane. The title of the data source tab is the data source name that you defined during the setup. The data source tab contains empty SQL Query and Data Preview panes.

  4. Select tables in the Data Browser pane to query the database.

  5. Close the data source tab to close the SQL query. In the Connections section, close the database connection by clicking .

    Note

    If multiple connections are open, close the database connection of your choice by selecting the corresponding data source from the list.

Connect to SQL Server Using JDBC Driver and Command Line

  1. Connect to an SQL Server database using the configured JDBC data source, user name username, and password pwd. For example, this code assumes that you are connecting to a JDBC data source named MSSQLServer.

  2. Close the database connection.

See Also

Mac Os Sql Server

Apps

Microsoft Sql Server Odbc Driver Mac Os X

Functions

Ms Sql Server For Mac Os 10.12

  • close | configureJDBCDataSource | database | saveAsJDBCDataSource | setConnectionOptions | testConnection

Microsoft Sql Server Management Studio For Mac Os

Related Topics





broken image
PreviousNext
Cookie Use
We use cookies to improve browsing experience, security, and data collection. By accepting, you agree to the use of cookies for advertising and analytics. You can change your cookie settings at any time. Learn More
Accept all
Settings
Decline All
Cookie Settings
Necessary Cookies
These cookies enable core functionality such as security, network management, and accessibility. These cookies can’t be switched off.
Analytics Cookies
These cookies help us better understand how visitors interact with our website and help us discover errors.
Preferences Cookies
These cookies allow the website to remember choices you've made to provide enhanced functionality and personalization.
Save