SQL Tutorial For Beginners | Step By Step Guide

SQL Tutorial For Beginners |  INTRODUCTION

SQL Tutorial SQL is a standard language for accessing databases. how to use SQL to access and manipulate data in: MySQL, SQL Server, Access, Oracle, Sybase, DB2, and other database systems.

What is SQL?

• SQL stands for Structured Query Language. SQL lets you access and manipulate databases. SQL is an ANSI (American National Standards Institute) standard.

What Can SQL do?

• SQL can execute queries against a database.
• SQL can retrieve data from a database.
• SQL can insert records in a database.
• SQL can update records in a database.
• SQL can delete records from a database.
• SQL can create new databases.
• SQL can create new tables in a database.
• SQL can create stored procedures in a database.
• SQL can create views in a database.
• SQL can set permissions on tables, procedures, and views.

RDBMS

1. RDBMS stands for Relational Database Management System.
2. RDBMS is the basis for SQL, and for all modern database systems like MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access.
3. The data in RDBMS is stored in database objects called tables.
4. A table is a collections of related data entries and it consists of columns and rows.

Database Tables

A database most often contains one or more tables. Each table is identified by a name (e.g. “Customers” or “Orders”). Tables contain records (rows) with data.

Below is an example of a table called “Persons”:

The table above contains three records (one for each person) and five columns (P_Id, LastName, FirstName, Address, and City).

SQL Statements

 Most of the actions you need to perform on a database are done with SQL statements. The following SQL statement will select all the records in the “Persons” table:

SQl Syntax: SELECT * FROM Persons

Important Note

• SQL is not case sensitive
• Semicolon after SQL Statements?
• Some database systems require a semicolon at the end of each SQL
• Semicolon is the standard way to separate each SQL statement in database systems that allow more than one SQL statement to be executed in the same call to the server.
• We are using MS Access and SQL Server 2000 and we do not have to put a semicolon after each SQL statement, but some database programs force you to use it.

SQL DML and DDL

 SQL can be divided into two parts: The Data Manipulation Language (DML) and the Data Definition Language (DDL).

A) The query and update commands form the DML part of SQL:

1. SELECT – extracts data from a database
2. UPDATE – updates data in a database
3. DELETE – deletes data from a database
4. INSERT INTO – inserts new data into a database

B) DDL part of SQL The most important DDL statements in SQL are:

DDL part of SQL permits database tables to be created or deleted. It also define indexes (keys), specify links between tables, and impose constraints between tables. 

1. CREATE DATABASE – creates a new database
2. ALTER DATABASE – modifies a database
3. CREATE TABLE – creates a new table
4. ALTER TABLE – modifies a table
5. DROP TABLE – deletes a table
6. CREATE INDEX – creates an index (search key)
7. DROP INDEX – deletes an index

The SQL SELECT Statement

• The SELECT statement is used to select data from a
• The result is stored in a result table, called the result-set.

SQL SELECT Syntax

SELECT column_name(s)

FROM table_name

And

SELECT * FROM table_name

Note: SQL is not case sensitive. SELECT is the same as select.

An SQL SELECT Example

The “Persons” table:

Now we want to select the content of the columns named “LastName” and “FirstName” from the table above.

We use the following SELECT statement:

SELECT LastName,FirstName FROM Persons

The result-set will look like this:

SELECT * Example

 Now we want to select all the columns from the “Persons” table. We use the following SELECT statement:

SELECT * From Persons

The SQL SELECT DISTINCT Statement

• In a table, some of the columns may contain duplicate This is not a problem, however, sometimes you will want to list only the different (distinct) values in a table.
• The DISTINCT keyword can be used to return only distinct (different)

SQL SELECT DISTINCT Syntax

SELECT DISTINCT column_name(s) FROM table_name

SELECT DISTINCT Example

The “Persons” table: