![]() ![]() Once an SQL Server data source has been added to your account, you can add SQL Server tables or views to any app. ![]() So for example, if the instance is called myInstance, use \myInstance as the server name. If a non-default instance name is being used for the SQL Server, provide that as part of the server name.For example, if the instance is running on port 2000, use ,2000 as the server name. If a non-default port number is being used, it should be provided as part of the server name. If your database is running on AWS, ensure that Network Security option Publicly Accessible is set to Yes and add a Security Group rule for the server that allows the AppSheet server IP addresses. See Manage IP address and firewall information. In order for AppSheet servers to access your data, both your network and SQL Server must accept inbound connections to the database from AppSheet servers. The system stores these values securely, and concatenates them to construct a connection string to the database To add an SQL Server data source, you'll be prompted to provide a server name, database name, username, password, and whether Secure Socket Layer (SSL) communication is required. Select SQL Server from the Type drop-down menu.The Add database connection information dialog displays. Enter a name for the data source and click Cloud Database or On-premises Database.To add an SQL Server data source to your AppSheet account: In our example, the name column could have been varcar (short for a variable character)īLOB: This stores binary data other than text, for example, file uploads.AppSheet can build apps from Microsoft SQL Server databases that are hosted in Amazon AWS, Microsoft Azure, or another cloud-hosting provider. VARCHAR: This stores a limited amount of text or single characters. Some examples would be 2.5, -.664, 43.8882, or 10.00001.ĭATETIME: This stores a date and time in the format YYYY-MM-DD HH:MM:SS In our example, the age category could have been an integer.įLOAT: This stores numbers when you need to use decimals. INTEGER: This stores whole numbers, both positive and negative. Although these have many subcategories, we will just touch on the most common types that you will use in this tutorial. The main data types are numbers, date/time, text, and binary. We could not change Kelly's entry to "twenty-six" if we had defined that column to be a number. ![]() An example of what this means is in our age column we use a number. This not only saves time but also valuable database space as no piece of data needs to be repeated.Įach column can only contain one type of data which we must define. You would only ever have to type this information once despite it being accessible for every car in the database. You could then dynamically call the contact information from our second table for every car in our first table. Here you could list the address, phone number, and other contact information for each of these companies. In this table, we could list Ford, Volkswagen, Chrysler, etc. ![]() What we can do is create a second table, called manufacturers. However, the contact information for 'Ford' would be the same for all of the cars they make, so we do not need to type that data more than once. We could make one table to hold all of the details for each of the cars we were selling. Let's say for example we were making a database for a car dealership. So what is a 'relational' database, and how does it use these tables? Well, a relational database lets us 'relate' data from one table to another. Of 03 Understanding SQL Relational Databases ![]()
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