In relational databases, a one-to-one relationship is a relationship between two tables where each record in the first table corresponds to one and only one record in the second table, and vice versa.
This kind of relationship is less common compared to other relationship types, but it can be useful in certain scenarios. The one-to-many and many-to-many relationships are much more common than the one-to-one relationship in SQL.
In SQL, constraints are essential for maintaining data integrity and ensuring the accuracy and reliability of the data stored within a database. One of the most commonly used constraints in SQL databases is the NOT NULL constraint.
In this article, I provide a quick overview of the NOT NULL constraint, its purpose, syntax, usage, and practical examples.
The DEFAULT constraint is a nifty little feature in SQL databases that simplifies data management by assigning default values to columns in a table. This can help us maintain data integrity in our databases.
Let’s take a look at the DEFAULT constraint.
When working with relational databases, we tend to create a lot of relationships between tables. But not all relationships are created equal – there are different types of relationships. The one-to-many relationship is probably the most common type of relationship in relational database design.
A one-to-many relationship is a type of association between two tables where a record in one table (the “one” side) can be related to multiple records in another table (the “many” side). For example, in an e-commerce database, a single customer can place many orders. In this scenario, the Customers table would have a one-to-many relationship with the Orders table.
In SQL, a many-to-many relationship occurs when multiple records in one table can be associated with multiple records in another table.
To represent this type of relationship, a third table—often referred to as a “junction table” or “associative entity”—is used. This junction table typically contains foreign keys that reference the primary keys of the two related tables, allowing for the connection between multiple records.
In SQL databases, a compound key is a type of primary key that consists of two or more columns combined to uniquely identify each row in a table. The key columns are used together as a single unit to ensure uniqueness.
Some within the SQL community define compound keys as composite primary keys comprising of foreign keys from other tables, so there doesn’t seem to be an agreed consensus on the precise definition.
With that in mind, let’s explore these definitions of compound keys.
In SQL, a composite key is a key that consists of two or more columns used together to uniquely identify a record in a table. The combination of these columns creates a unique identifier, even though the individual columns might not be unique by themselves.
If you’ve spent any time working with heaps in SQL Server, you may have seen the RID lookup in the query plan. And if you haven’t, chances are it’s because you either didn’t look at the query plan, or the queries used full table scans.
In any case, it pays to understand what a RID lookup is and how it affects query performance. If we ever see RID lookup in the query plan, it could be a good opportunity to see if we can make changes that will improve performance.
In SQL and relational database design in general, an important concept is the identification of unique rows in a table. A surrogate key is one method for achieving this.
Understanding what surrogate keys are, and how they differ from natural keys, is crucial for database administrators, developers, and anyone involved in data modeling or management.
In this article we’ll explore what the surrogate key is, how it differs from the natural key, and examples of implementing it in SQL.
