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At Parallels, we love sharing our customers’ success stories! Recently, Tim Goldstein, a leading business intelligence analyst, database architect, and senior developer specializing in the Microsoft SQL server tool set, implemented a more agile development process with Parallels Desktop for Mac. Goldstein’s new process has been a great success and proven Parallels Desktop to be a developer’s “Swiss Army Knife” of productivity! Below are a few quotes from Goldstein himself regarding how Parallels Desktop has helped him stay ahead of the competitive landscape in his personal business:

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“Parallels allows me to run a full development environment on Windows, including SQL Server, Analysis Services Server, Visual Studio, and SQL Management console simultaneously with El Capitan. I am running this on an 11-inch MacBook Air with 8 GB of RAM and a two-core i7 processor.”

Not only is the Microsoft SQL Server Management Studio a crucial weapon in a developer’s tool kit but Goldstein leverages success by additionally using Microsoft Visual Studio, CorelDRAW, and Notepad++.

Above: “Windows 10 running Microsoft SQL Server, SQL Management Studio (SSMS), SQL Data Tools (a.k.a. Visual Studio) with an SSIS package, and working on an infographic for my speaking/training topic of “Engaging Technical Workers, Getting Business and Technical Staff Communicating” in CorelDRAW.”

Goldstein has additionally leveraged Parallels Desktop to save money for his business. He’s achieved this by not having to own multiple computers to complete his work as a senior developer. Thanks to his love of technology and the people who have helped him have such a great IT career, Goldstein, a Certified High Performance Coach, is simultaneously speaking, training, and mentoring executives on how to understand the mind of the technical worker. He can help you reach your next level just like Parallels Desktop has helped him reach his! In his own words:

“For my personal business in training executives to understand their technical workforce and training geeks to better handle the soft side of interviews, I work entirely on a Mac. Parallels has been a wonderful solution and a much easier company culture to deal with than competitors.”

Connect with Tim Goldstein via LinkedIn here, or check out his personal website here.

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Mac Visual Microsoft Sql Server

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Here I’ll show you how to get SQL Server up and running on your Mac in less than half an hour. And the best part is, you’ll have SQL Server running locally without needing any virtualization software.

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Prior to SQL Server 2017, if you wanted to run SQL Server on your Mac, you first had to create a virtual machine (using VirtualBox, Parallels Desktop, VMware Fusion, or Bootcamp), then install Windows onto that VM, then finally SQL Server. This is still a valid option depending on your requirements (here’s how to install SQL Server on a Mac with VirtualBox if you’d like to try that method).

Mac Visual Microsoft Sql Server

Starting with SQL Server 2017, you can now install SQL Server directly on to a Linux machine. And because macOS is Unix based (and Linux is Unix based), you can run SQL Server for Linux on your Mac. The way to do this is to run SQL Server on Docker.

So let’s go ahead and install Docker. Then we’ll download and install SQL Server.

  1. Install Docker

    Download the (free) Docker Community Edition for Mac (unless you’ve already got it installed on your system). This will enable you to run SQL Server from within a Docker container.

    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.

    What is Docker?

    Docker is a platform that enables software to run in its own isolated environment. SQL Server (from 2017) can be run on Docker in its own isolated container. Once Docker is installed, you simply download — or “pull” — the SQL Server on Linux Docker Image to your Mac, then run it as a Docker container. This container is an isolated environment that contains everything SQL Server needs to run.

  2. 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.

  3. Increase the Memory

    By default, Docker will have 2GB of memory allocated to it. SQL Server needs at least 3.25GB. To be safe, increase it to 4GB if you can.

    To do this:

    1. Select Preferences from the little Docker icon in the top menu
    2. Slide the memory slider up to at least 4GB
    3. Click Apply & Restart
  4. Download SQL Server

    Now that Docker is installed and its memory has been increased, we can download and install SQL Server for Linux.

    Open a Terminal window and run the following command.

    This downloads the latest SQL Server 2019 for Linux Docker image to your computer.

    You can also check for the latest container version on the Docker website if you wish.

    Update: When I first wrote this article, I used the following image:

    Which downloaded SQL Server 2017. Therefore, the examples below reflect that version.

  5. Launch the Docker Image

    Run the following command to launch an instance of the Docker image you just downloaded:

    But of course, use your own name and password. Also, if you downloaded a different Docker image, replace microsoft/mssql-server-linux with the one you downloaded.

    Here’s an explanation of the parameters:

    -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.
    --name sql_server_demo
    Another optional parameter. This parameter allows you to name the container. This can be handy when stopping and starting your container from the Terminal.
    -e 'ACCEPT_EULA=Y'
    The Y shows that you agree with the EULA (End User Licence Agreement). This is required in order to have SQL Server for Linux run on your Mac.
    -e 'SA_PASSWORD=reallyStrongPwd123'
    Required parameter that sets the sa database password.
    -p 1433:1433
    This maps the local port 1433 to port 1433 on the container. This is the default TCP port that SQL Server uses to listen for connections.
    microsoft/mssql-server-linux
    This tells Docker which image to use. If you downloaded a different one, use it instead.

    Password Strength

    If you get the following error at this step, try again, but with a stronger password.

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    I received this error when using reallyStrongPwd as the password (but of course, it’s not a really strong password!). I was able to overcome this by adding some numbers to the end. However, if it wasn’t just a demo I’d definitely make it stronger than a few dictionary words and numbers.

  6. Check the Docker container (optional)

    You can type the following command to check that the Docker container is running.

    If it’s up and running, it should return something like this:

  7. Install sql-cli (unless already installed)

    Run the following command to install the sql-cli command line tool. This tool allows you to run queries and other commands against your SQL Server instance.

    This assumes you have NodeJs installed. If you don’t, download it from Nodejs.org first. Installing NodeJs will automatically install npm which is what we use in this command to install sql-cli.

    Permissions Error?

    If you get an error, and part of it reads something like Please try running this command again as root/Administrator, try again, but this time prepend sudo to your command:

  8. Connect to SQL Server

    Now that sql-cli is installed, we can start working with SQL Server via the Terminal window on our Mac.

    Connect to SQL Server using the mssql command, followed by the username and password parameters.

    You should see something like this:

    This means you’ve successfully connected to your instance of SQL Server.

  9. Run a Quick Test

    Run a quick test to check that SQL Server is up and running and you can query it.

    For example, you can run the following command to see which version of SQL Server your running:

    If it’s running, you should see something like this (but of course, this will depend on which version you’re running):

    If you see a message like this, congratulations — SQL Server is now up and running on your Mac!

A SQL Server GUI for your Mac – Azure Data Studio

Azure Data Studio (formerly SQL Operations 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).

DBeaver using the “Dark” theme.

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.

Limitations of SQL Server for Linux/Mac

SQL Server 2017 for Linux does have some limitations (at least, in its initial release). The Linux release doesn’t include many of the extra services that are available in the Windows release, such as Analysis Services, Reporting Services, etc. Here’s a list of what’s available and what’s not on SQL Server 2017 for Linux.

Another limitation is that SQL Server Management Studio is not available on Mac or Linux. SSMS a full-blown GUI management for SQL Server, and it provides many more features than Azure Data Studio and DBeaver (at least at the time of writing). You can still use SSMS on a Windows machine to connect to SQL Server on a Linux or Mac machine, but you just can’t install it locally on the Linux or Mac machine.

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If you need any of the features not supported in SQL Server for Linux, you’ll need SQL Server for Windows. However, you can still run SQL Server for Windows on your Mac by using virtualization software. Here’s how to install SQL Server for Windows on a Mac using VirtualBox.