There are two main ways to install PostgreSQL on mac OS X.
To run a server through the postgres app, the first step is to download the program. The app can be downloaded on postgresapp.com. Once the app is downloaded and moved into the applications folder, the app can be opened. Open the Postgres app: In order to start the server, click the start button. This will start the server. Run the scripts against your SQL Server running in Docker Copy the scripts you generated above to your Mac where you can easily get to them from the Terminal. Open a Terminal, and change to the folder where you placed the scripts. Now, connect to your SQL Server running in Docker using sql-cli, and make sure you are on master. I'm trying to connect to a MS SQL Server through a macbook (EL Capitan) using DBeaver Community Edition v 3.8.5 Our enterprise databases have windows authentication, which is pretty common I've tried both drivers, but I can't seem to connect to SQL Server using DBeaver.
Downloading the app file from postgresapp.com.
Using Homebrew
Homebrew can be installed by running the following command in a terminal:
If Homebrew is already installed, make sure that it is up to date by running:
brew update
Then ensure there are no conflicts or errors using:
brew doctor
Homebrew is a powerful package manager with many uses, including installing and running postgreSQL. This can be done by typing the following command into a terminal:
Now that postgres is installed the default server can be started by running the command:
This will start up a postgres server hosted locally on port 5432. The server will be run out of the directory /usr/local/var/postgres.
It can now be accessed by typing the following command:
This will connect to the server and access the postgres database. Once this is done:
Schemas and tables can be created
Data can be loaded and deleted from the database
Queries can be run
The process should look like this:
This shows that the server has been started and can be connected to.
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(Optional) Creating a Custom Data Directory
A custom data directory can also be used for a server. To do this, first create a directory to be used as the server location. For example, create a directory called myData in the home directory:
Once the directory is created, the server can be initialized. This means that we configure the directory and add the necessary files to run the server. To do this run the initdb command as shown:
This will fill the myData directory with files necessary to run the server:
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Now that the server is initialized and the log file is created, you can start the server from this directory. To do this use the command and substitute in for the specified values:
The “Data Directory” refers to the directory that was just initialized (in this case myData). The “Log file” is a file that will record server events for later analysis. Generally log files are formatted to contain the date in the file name (e.g. “2018-05-27.log” or “myData-logfile-2018-05-27.log”) and should be stored outside of the database that they are logging so as to avoid unnecessary risks. Log files can be dense to read but are very useful for security and debugging purposes:
The command above will generate a log file like the one shown, start the server, and tie the log file to the server. If a log file is not specified, events will be logged to the terminal:
The server will only start if the port is free. If the default server is running it must first be stopped using the pg_ctl -D /usr/local/var/postgres stop command:
Once started, it can be connected to the same way as before using:
Using PostgreSQL App
To run a server through the postgres app, the first step is to download the program. The app can be downloaded on postgresapp.com. Once the app is downloaded and moved into the applications folder, the app can be opened.
Open the Postgres app:
In order to start the server, click the start button.
This will start the server. Details on the server can be found by opening the server settings:
This interface shows all the essential information regarding the server. It also allows the port to be changed very easily. This is useful because multiple PostgreSQL servers can
Note: To change the port in the terminal, the ‘postgres.conf’ file (which can be found in the data directory) must be edited. This looks like the following:
Using Terminal with the PostgreSQL App
Once the app has been downloaded, command line tools can be used as well. These tools can be accessed by typing:
For example, the ‘postgres’ database on the server can be connected to using the psql tool with postgres as an argument:
Rather than typing out the full path each time however, the path can be added to a file that will allow significantly easier access to the tools, allowing the tools be accessed from any directory on the computer. To do this, the following command can be run in the terminal:
Once this is done, the ‘postgres’ database can be accessed by simply typing:
Summary
Homebrew:
Download/update Homebrew
Use Homebrew to install postgres
(Optional) Create New Data Directory
initdb
Start Server
App:
Download app and move to Applications
Run App
(Optional) Set different port for multiple servers
Start Server
(Optional) Add path so that command line tools are easy to access
References
Written by: Matthew Layne Reviewed by: Blake Barnhill , Matt David
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.
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.
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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.
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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
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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
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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.