SQL Overview

SQL Overview

SQL is a programming language for Relational Databases. It is designed over relational algebra and tuple relational calculus. SQL comes as a package with all major distributions of RDBMS.

SQL comprises both data definition and data manipulation languages. Using the data definition properties of SQL, one can design and modify database schema, whereas data manipulation properties allows SQL to store and retrieve data from database.

Data Definition Language

SQL uses the following set of commands to define database schema −


Creates new databases, tables and views from RDBMS.

For example −

Create database tutorialspoint;
Create table article;
Create view for_students;


Drops commands, views, tables, and databases from RDBMS.

For example

Drop object_type object_name;
Drop database tutorialspoint;
Drop table article;
Drop view for_students;


Modifies database schema.

Alter object_type object_name parameters;

For example

Alter table article add subject varchar;

This command adds an attribute in the relation article with the name subject of string type.

Data Manipulation Language

SQL is equipped with data manipulation language (DML). DML modifies the database instance by inserting, updating and deleting its data. DML is responsible for all forms data modification in a database. SQL contains the following set of commands in its DML section −


These basic constructs allow database programmers and users to enter data and information into the database and retrieve efficiently using a number of filter options.


  • SELECT − This is one of the fundamental query command of SQL. It is similar to the projection operation of relational algebra. It selects the attributes based on the condition described by WHERE clause.

  • FROM − This clause takes a relation name as an argument from which attributes are to be selected/projected. In case more than one relation names are given, this clause corresponds to Cartesian product.

  • WHERE − This clause defines predicate or conditions, which must match in order to qualify the attributes to be projected.

For example −

Select author_name
From book_author
Where age > 50;

This command will yield the names of authors from the relation book_author whose age is greater than 50.


This command is used for inserting values into the rows of a table (relation).


INSERT INTO table (column1 [, column2, column3 ... ]) VALUES (value1 [, value2, value3 ... ])


INSERT INTO table VALUES (value1, [value2, ... ])

For example −

INSERT INTO tutorialspoint (Author, Subject) VALUES ("anonymous", "computers");


This command is used for updating or modifying the values of columns in a table (relation).

Syntax −

UPDATE table_name SET column_name = value [, column_name = value ...] [WHERE condition]

For example −

UPDATE tutorialspoint SET Author="webmaster" WHERE Author="anonymous";


This command is used for removing one or more rows from a table (relation).

Syntax −

DELETE FROM table_name [WHERE condition];

For example −

DELETE FROM tutorialspoints
   WHERE Author="unknown";

Frequently Asked Questions

Ans: ER Model to Relational Model view more..
Ans: Relational Algebra view more..
Ans: Relation Data Model view more..
Ans: SQL Overview view more..
Ans: DBMS - Normalization view more..
Ans: DBMS - Joins view more..
Ans: DBMS - Storage System view more..
Ans: DBMS - File Structure view more..
Ans: DBMS - Indexing view more..
Ans: DBMS - Hashing view more..
Ans: DBMS - Transaction view more..
Ans: DBMS - Concurrency Control view more..
Ans: DBMS - Deadlock view more..
Ans: DBMS - Data Backup view more..
Ans: DBMS - Data Recovery view more..

Rating - NAN/5