Tuesday 27 May 2014

SQL Tutorial php data base

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

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

SQL is a Standard - BUT....

Although SQL is an ANSI (American National Standards Institute) standard, there are different versions of the SQL language.
However, to be compliant with the ANSI standard, they all support at least the major commands (such as SELECT, UPDATE, DELETE, INSERT, WHERE) in a similar manner.
Note
Note: Most of the SQL database programs also have their own proprietary extensions in addition to the SQL standard!


Using SQL in Your Web Site

To build a web site that shows data from a database, you will need:
  • An RDBMS database program (i.e. MS Access, SQL Server, MySQL)
  • To use a server-side scripting language, like PHP or ASP
  • To use SQL to get the data you want
  • To use HTML / CSS

RDBMS

RDBMS stands for Relational Database Management System.
RDBMS is the basis for SQL, and for all modern database systems such as MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access.
The data in RDBMS is stored in database objects called tables.
A table is a collection 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.
In this tutorial we will use the well-known Northwind sample database (included in MS Access and MS SQL Server).
Below is a selection from the "Customers" table:
CustomerID
CustomerName
ContactName
Address
City
PostalCode
Country
1
Alfreds Futterkiste
Maria Anders
Obere Str. 57
Berlin
12209
Germany
2
Ana Trujillo Emparedados y helados
Ana Trujillo
Avda. de la Constitución 2222
México D.F.
05021
Mexico
3
Antonio Moreno Taquería
Antonio Moreno
Mataderos 2312
México D.F.
05023
Mexico
4
Around the Horn
Thomas Hardy
120 Hanover Sq.
London
WA1 1DP
UK
5
Berglunds snabbköp
Christina Berglund
Berguvsvägen 8
Luleå
S-958 22
Sweden
The table above contains five records (one for each customer) and seven columns (CustomerID, CustomerName, ContactName, Address, City, PostalCode, and Country).

SQL Statements

Most of the actions you need to perform on a database are done with SQL statements.
The following SQL statement selects all the records in the "Customers" table:

Example
SELECT * FROM Customers;

Some of The Most Important SQL Commands

  • SELECT - extracts data from a database
  • UPDATE - updates data in a database
  • DELETE - deletes data from a database
  • INSERT INTO - inserts new data into a database
  • CREATE DATABASE - creates a new database
  • ALTER DATABASE - modifies a database
  • CREATE TABLE - creates a new table
  • ALTER TABLE - modifies a table
  • DROP TABLE - deletes a table
  • CREATE INDEX - creates an index (search key)
  • DROP INDEX - deletes an index

SQL SELECT Statement

The SELECT statement is used to select data from a database.

The SQL SELECT Statement

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

SQL SELECT Syntax

SELECT column_name,column_name
FROM table_name;
and
SELECT * FROM table_name;


Demo Database

In this tutorial we will use the well-known Northwind sample database.
Below is a selection from the "Customers" table:
CustomerID
CustomerName
ContactName
Address
City
PostalCode
Country
1
Alfreds Futterkiste
Maria Anders
Obere Str. 57
Berlin
12209
Germany
2
Ana Trujillo Emparedados y helados
Ana Trujillo
Avda. de la Constitución 2222
México D.F.
05021
Mexico
3
Antonio Moreno Taquería
Antonio Moreno
Mataderos 2312
México D.F.
05023
Mexico
4
Around the Horn
Thomas Hardy
120 Hanover Sq.
London
WA1 1DP
UK
5
Berglunds snabbköp
Christina Berglund
Berguvsvägen 8
Luleå
S-958 22
Sweden


SELECT Column Example

The following SQL statement selects the "CustomerName" and "City" columns from the "Customers" table:

Example

SELECT CustomerName,City FROM Customers;


SELECT * Example

The following SQL statement selects all the columns from the "Customers" table:

Example

SELECT * FROM Customers;

...............................................................

SQL SELECT DISTINCT Statement


The SELECT DISTINCT statement is used to return only distinct (different) values.

The SQL SELECT DISTINCT Statement

In a table, a column may contain many duplicate values; and sometimes you only want to list the different (distinct) values.
The DISTINCT keyword can be used to return only distinct (different) values.

SQL SELECT DISTINCT Syntax

SELECT DISTINCT column_name,column_name
FROM table_name;


Demo Database

In this tutorial we will use the well-known Northwind sample database.
Below is a selection from the "Customers" table:
CustomerIDCustomerNameContactNameAddressCityPostalCodeCountry
1
Alfreds FutterkisteMaria AndersObere Str. 57Berlin12209Germany
2Ana Trujillo Emparedados y heladosAna TrujilloAvda. de la Constitución 2222México D.F.05021Mexico
3Antonio Moreno TaqueríaAntonio MorenoMataderos 2312México D.F.05023Mexico
4
Around the HornThomas Hardy120 Hanover Sq.LondonWA1 1DPUK
5Berglunds snabbköpChristina BerglundBerguvsvägen 8LuleåS-958 22Sweden


SELECT DISTINCT Example

The following SQL statement selects only the distinct values from the "City" columns from the "Customers" table:

Example

SELECT DISTINCT City FROM Customers;

Try it yourself »


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