When we think of SQL we usually associate it with database management systems, but this was not always the case. Before the days of Oracle or Microsoft Office we used SQL to retrieve data from documents stored in the internet.
The first thing you need to do is install SQL server on your computer. Once it is installed you can begin setting up the SQL server with the learning software.
In this SQL server tutorial I’m going to show you how to run a number of SAS statistical analysis software on your computer. First I’ll explain how to open the databases.
It is common for us to open the database by clicking the “open” button, but we don’t need to do that. To open the SQL files, you need to execute the sql command. We must be in single quotes around the SQL path.
After you’ve put your command in the command prompt you need to make sure that you’re in the MS SQL server and that you’re in the database. In order to execute the SQL, we must be able to execute the SQL on the command line.
For the user interface it will be very simple. Just use your editor of choice to create a file called sqlserver.ini which has the following content:
You’ll notice that the default settings are the only ones you’ll need. I’ve taken these default settings and modified them to show you how I set my own settings.
You will find it’s completely standard to leave the “internal name” as is. I have found that the default “instance name” isn’t necessary, but I found it necessary to change my settings because of a system error.
I later learned that there are additional settings that could be beneficial. If you leave the “security” setting as is then it won’t allow you to use this SQL as the server’s default method of accessing the database.
Other than SQL server internal settings, the other setting that will affect the command is the “target type”. This will determine how you will be able to access the SQL and will also specify how you will access the user.
You should also make sure that you set the “Transact-SQL” type to “MS SQL”. This will allow you to change the values in your data from their default values to their new values.