Skip to main content

Relational Calculus

Relational Calculus

There is an alternate way of formulating queries known as Relational Calculus. Relational calculus is a non-procedural query language. In the non-procedural query language, the user is concerned with the details of how to obtain the end results. The relational calculus tells what to do but never explains how to do. Most commercial relational languages are based on aspects of relational calculus including SQL-QBE and QUEL.

Why it is called Relational Calculus?

It is based on Predicate calculus, a name derived from branch of symbolic language. A predicate is a truth-valued function with arguments. On substituting values for the arguments, the function result in an expression called a proposition. It can be either true or false. It is a tailored version of a subset of the Predicate Calculus to communicate with the relational database.

Many of the calculus expressions involves the use of Quantifiers. There are two types of quantifiers:
  • Universal Quantifiers: The universal quantifier denoted by ∀ is read as for all which means that in a given set of tuples exactly all tuples satisfy a given condition.
  • Existential Quantifiers: The existential quantifier denoted by ∃ is read as for all which means that in a given set of tuples there is at least one occurrences whose value satisfy a given condition.
Before using the concept of quantifiers in formulas, we need to know the concept of Free and Bound Variables.

A tuple variable t is bound if it is quantified which means that if it appears in any occurrences a variable that is not bound is said to be free.

Free and bound variables may be compared with global and local variable of programming languages.


Types of Relational Calculus:

Relational Calculus


1. Tuple Relational Calculus (TRC)

It is a non-procedural query language which is based on finding a number of tuple variables also known as range variable for which predicate holds true. It describes the desired information without giving a specific procedure for obtaining that information. The tuple relational calculus is specified to select the tuples in a relation. In TRC, filtering variable uses the tuples of a relation. The result of the relation can have one or more tuples.

Notation:
A Query in the tuple relational calculus is expressed as following notation
  1. {T | P (T)} or {T | Condition (T)}
Where

T is the resulting tuples

P(T) is the condition used to fetch T.

For example:
  1. { T.name | Author(T) AND T.article = 'database' }
Output: This query selects the tuples from the AUTHOR relation. It returns a tuple with 'name' from Author who has written an article on 'database'.


TRC (tuple relation calculus) can be quantified. In TRC, we can use Existential (∃) and Universal Quantifiers (∀).

For example:
1.{ R| ∃T ∈ Authors(T.article='database' AND R.name=T.name)}

Output: This query will yield the same result as the previous one. 

2. Domain Relational Calculus (DRC)

The second form of relation is known as Domain relational calculus. In domain relational calculus, filtering variable uses the domain of attributes. Domain relational calculus uses the same operators as tuple calculus. It uses logical connectives ∧ (and), ∨ (or) and ┓ (not). It uses Existential (∃) and Universal Quantifiers (∀) to bind the variable. The QBE or Query by example is a query language related to domain relational calculus.

Notation:
  1. { a1, a2, a3, ..., an | P (a1, a2, a3, ... ,an)}
Where
a1, a2 are attributes

P stands for formula built by inner attributes

For example:
  1. {< article, page, subject > | ∈ javatpoint ∧ subject = 'database'}
Output: This query will yield the article, page, and subject from the relational javatpoint, where the subject is a database.

Comments

Popular posts from this blog

All About Microservices Architecture

All About Microservices Architecture **Microservices Architecture** is an approach to software development where a large application is broken down into smaller, independent services that can operate and be deployed independently. Instead of building a monolithic application, which is a single, tightly-integrated unit, microservices architecture divides the functionality into separate services that communicate with each other through well-defined APIs (Application Programming Interfaces). Key characteristics of microservices architecture include: 1. **Modularity:** Each microservice represents a specific business capability and can be developed, deployed, and scaled independently. 2. **Independence:** Microservices are autonomous, meaning they can be developed, deployed, and updated without affecting the entire system. This independence allows for faster development cycles. 3. **Scalability:** Since each service is independent, you can scale only the specific microservices that require...

Natural Language Processing (NLP)

What is Natural Language Processing (NLP) ? Natural Language Processing (NLP)* is a field of artificial intelligence (AI) that focuses on the interaction between computers and humans using natural language. It involves the development of algorithms and models that enable computers to understand, interpret, and generate human language. Here are key aspects of NLP: 1. *Text Understanding:* NLP systems aim to comprehend the meaning of written or spoken language. This involves tasks such as text classification, sentiment analysis, and named entity recognition. 2. *Speech Recognition:* NLP extends to processing spoken language, converting audio signals into text. This technology is used in voice assistants, transcription services, and more. 3. *Language Generation:* NLP systems can generate human-like text. This is employed in chatbots, language translation services, and content generation. 4. *Machine Translation:* NLP is fundamental to machine translation systems that enable the automatic...