What is a Superkey Key in SQL?

There are various key types in SQL, each with their own characteristics. Some of these can be enforced with a constraint of one kind or another. Others are not necessarily enforced with a constraint, but are more of an abstract notion, albeit, an important one. These key types consist of one or more columns with certain characteristics that qualify it as the particular key.

One such key type is the superkey.

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Understanding Self-Referencing Foreign Keys: A Beginner’s Tutorial

In relational databases, a foreign key is typically a field that is linked to another table‘s primary key field in a relationship between two tables.

However, there’s also a type of foreign key we call the self-referencing foreign key. The self-referencing foreign key refers to a field within the same table, creating a relationship between rows in the same table.

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What is a Trigger in SQL?

In SQL databases, triggers can play a significant role in automating responses to specific events within a database. Whether we’re dealing with data validation, logging changes, or enforcing business rules, SQL triggers can be a handy tool to ensure that certain actions are taken automatically when certain conditions are met.

This article covers what SQL triggers are, how they work, and provides an example to illustrate their use.

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What is a Natural Key in SQL?

In relational database design, the concept of a “key” is fundamental. Keys are essential for uniquely identifying records in a table, ensuring data integrity, and facilitating efficient data retrieval. Among the different types of keys used in SQL, the natural key is one that often sparks discussion among database designers, especially when compared with the surrogate key.

Let’s explore the concept of a natural key, its advantages and disadvantages, and look at a practical example to illustrate its use.

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SQL Atomicity Explained: The Basics of Atomic Operations

One of the core principles that ensure data integrity in relational database management systems (RDBMSs) is atomicity. When dealing with SQL, understanding what “atomicity” and “atomic” means can help you design more reliable and robust databases.

Atomicity is a key concept that underpins how SQL transactions operate, ensuring that either all steps in a transaction are completed successfully, or none are. This article looks at the meaning of atomic in SQL, its importance, and how it fits into the broader context of database management.

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What is Domain Integrity?

Domain integrity is an important concept in relational database management that ensures the accuracy, validity, and consistency of data within a database. It refers to the enforcement of rules and constraints that ensure data entered into a database adheres to a predefined set of acceptable values. This helps maintain the quality of data and prevents the entry of erroneous, incomplete, or invalid data into the system.

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What is Entity Integrity?

When working with relational databases, data accuracy and consistency are paramount. When we talk about maintaining the integrity of the data within a relational database, several types of integrity come into play. One of the most fundamental is entity integrity.

This concept is crucial for ensuring that each record within a database table is uniquely identifiable, which in turn supports the reliability of the data. In this article, we will delve into what entity integrity is, why it matters, and how it is implemented in practice. We’ll also look at an example to clarify the concept further.

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Understanding INFORMATION_SCHEMA in SQL

Behind every well-structured and organised SQL database lies a treasure trove of information called metadata. Metadata is data that provides information about other data. In relational database management systems, this metadata can typically include information like the names of databases, tables, columns, the data type of a column, access privileges, and much more.

The SQL standard provides a collection of tables/views that allow us to view metadata about the objects in the database. The SQL standard refers to this as the information schema and calls it INFORMATION_SCHEMA.

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