Stephen Hoffman - C++: The Ultimate Guide to Learn C++ and SQL Programming Fast (C++ for beginners, c programming, JAVA, Coding, CSS, PHP) (Programming, computer language, coding, HTML, Javascript, Developers Book 1)

The Structured Query Language, or SQL, was originally designed for relational model. It is the language used to define the relationships between multiple data. It is also the database programming language used to query data in a relationalschema.

So when did this all began?

The first relational database was created in the 60s and the programming in this model were primarily defined by mathematics.In fact, this model of database was based on Tuple Relational Calculus and Relational Algebra.

Dont worry, though, there is no need for you to jump into algebra and calculus to handle relational databases. SQL will make relational database programming easier.

Tables, Columns, and Rows

In the relational database, the data is stored in a table. In this model, all tables have names. For instance, you may name a table as people while you may name another table as sales. These names refer to the kind of data stored inside the table. In other words, the table we call people contains data of people while the table we call sales contains data of sales.

Every table features a set of columns. These columns define the different pieces of data within the table. This what makes the relational model different from other types of databases. You will notice that there are some databases that store data altogether. In a relational model, however, all data is separated by columns and each column has a name. Each column can also restrict the category and size of data that will be added in it. For instance, some columns can only store strings while some columns can only store numbers. The restriction assigned to each column depends on the creator of the database.

Columns are also categorized by being required and not required. A required column means that every row in the table must have a data which corresponds to what the column requires. A not required column, on the other hand, means that we can assert a NULL value for each row under that column. As you go through SQL, you will find that NULL has a lot uses in database programming.

The primary point of using rows is to have retrievable data and containers where you can store data. Why do we store data? Simply because we want to get that data again in the future and we simply want a place for it to stay for the mean time. Hence, the core idea of a database.

Keys

One of the vital elements of a relational database are keys. We now know that a table has several columns and each column has names. Each column has related properties as well. One of these properties that we can assert in a column is a key.

In a relational database, we always assign a primary key for each row. This special type of key is used to uniquely determine a specific row. This means that the value of that key must remain unique and must not have any duplicates within the table. If, and only if, there is another table which contains that key in our relation model; then, we may merge those two tables together.

When merging two tables, there will always be primary keys that have no duplicates. Upon merging, you will notice that there will be a new column in the table with these keys. These keys are now known as the Foreign keys. They serve as links to the primary keys of the second table, allowing you to conveniently link rows from two separated tables.