Normal
0
false
false
false
false
EN-US
X-NONE
X-NONE
Acknowledgement
This document is designed to aid Beginners to know
more about database programming, guide, help and give tips on how DataBase
works. Although the content of the document originated from W3 studio but you
can learn more by cruising through their website (www.w3school.com)from
more live practical, examples and help tips of SQL and other DataBase systems.
Enjoy!
Ahmed Ibrahim Omeiza
SQL Tutorial
|
|
SQL is a standard language for
accessing and manipulating databases.
Our SQL tutorial will teach you
how to use SQL to access and manipulate data in MySQL, SQL Server, MS Access,
Oracle, Sybase, DB2, and other database systems.
|
Introduction to SQL
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 many 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: 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 some
data from a database, you will need the following:
- An RDBMS database program (i.e. MS Access, SQL Server,
MySQL)
- A server-side scripting language, like PHP or ASP
- SQL
- HTML / CSS
RDBMS
RDBMS stands for Relational Database
Management System.
RDBMS is the basis for SQL, and for
all modern database systems like 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 collections of related
data entries and it consists of columns and rows.
SQL Syntax
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":
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn
10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn
23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt
20
|
Stavanger
|
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:
In this tutorial we will teach you
all about the different SQL statements.
Keep in
Mind That...
- SQL is not case sensitive
-
Semicolon
after SQL Statements?
Some database systems require a
semicolon at the end of each SQL statement.
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).
The query and update commands form
the DML part of SQL:
- 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
The 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. The most important DDL
statements in SQL are:
- 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
This chapter will explain the SELECT and the SELECT *
statements.
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(s)
FROM table_name
|
and
Note: SQL is not case sensitive.
SELECT is the same as select.
An SQL SELECT Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
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:
|
LastName
|
FirstName
|
|
Hansen
|
Ola
|
|
Svendson
|
Tove
|
|
Pettersen
|
Kari
|
SELECT * Example
Now we want to select all the columns from the "Persons" table.
We use the following SELECT statement:
Tip: The asterisk
(*) is a quick way of selecting all columns!
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
Navigation in a Result-set
Most database software systems allow navigation in the result-set with
programming functions, like: Move-To-First-Record, Get-Record-Content,
Move-To-Next-Record, etc.
Programming functions like these are not a part of this tutorial. To learn
about accessing data with function calls, please visit our ADO tutorial or our PHP tutorial.
SQL
SELECT DISTINCT Statement
This chapter will explain the SELECT
DISTINCT statement.
The SQL SELECT DISTINCT Statement
In a table, some of the columns may contain duplicate values. 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) values.
SQL SELECT DISTINCT Syntax
|
SELECT DISTINCT column_name(s)
FROM table_name
|
SELECT DISTINCT Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
Now we want to select only the distinct values from the column named
"City" from the table above.
We use the following SELECT statement:
|
SELECT DISTINCT City FROM Persons
|
The result-set will look like this:
SQL
WHERE Clause
The WHERE clause is used to filter records.
The WHERE Clause
The WHERE clause is used to extract only those records that fulfill a
specified criterion.
SQL WHERE Syntax
|
SELECT column_name(s)
FROM table_name
WHERE column_name operator value
|
WHERE Clause Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
Now we want to select only the persons living in the city
"Sandnes" from the table above.
We use the following SELECT statement:
|
SELECT * FROM Persons
WHERE City='Sandnes'
|
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
Quotes Around Text Fields
SQL uses single quotes around text values (most database systems will also
accept double quotes).
Although, numeric values should not be enclosed in quotes.
For text values:
|
This is correct:
SELECT * FROM Persons WHERE FirstName='Tove'
This is wrong:
SELECT * FROM Persons WHERE FirstName=Tove
|
For numeric values:
|
This is correct:
SELECT * FROM Persons WHERE Year=1965
This is wrong:
SELECT * FROM Persons WHERE Year='1965'
|
Operators Allowed in the WHERE
Clause
With the WHERE clause, the following operators can be used:
|
Operator
|
Description
|
|
=
|
Equal
|
|
<>
|
Not equal
|
|
>
|
Greater than
|
|
<
|
Less than
|
|
>=
|
Greater than or
equal
|
|
<=
|
Less than or equal
|
|
BETWEEN
|
Between an
inclusive range
|
|
LIKE
|
Search for a
pattern
|
|
IN
|
If you know the
exact value you want to return for at least one of the columns
|
Note: In some
versions of SQL the <> operator may be written as !=
SQL
AND & OR Operators
The AND & OR operators are used to filter records based on more than one
condition.
The AND
& OR Operators
The AND operator displays a record
if both the first condition and the second condition is true.
The OR operator displays a record if
either the first condition or the second condition is true.
AND
Operator Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn
10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn
23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt
20
|
Stavanger
|
Now we want to select only the
persons with the first name equal to "Tove" AND the last name equal
to "Svendson":
We use the following SELECT
statement:
|
SELECT * FROM Persons
WHERE FirstName='Tove'
AND LastName='Svendson'
|
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
2
|
Svendson
|
Tove
|
Borgvn
23
|
Sandnes
|
OR
Operator Example
Now we want to select only the
persons with the first name equal to "Tove" OR the first name equal
to "Ola":
We use the following SELECT
statement:
|
SELECT * FROM Persons
WHERE FirstName='Tove'
OR FirstName='Ola'
|
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn
10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn
23
|
Sandnes
|
Combining
AND & OR
You can also combine AND and OR (use
parenthesis to form complex expressions).
Now we want to select only the
persons with the last name equal to "Svendson" AND the first name
equal to "Tove" OR to "Ola":
We use the following SELECT
statement:
|
SELECT * FROM Persons WHERE
LastName='Svendson'
AND (FirstName='Tove' OR FirstName='Ola')
|
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
2
|
Svendson
|
Tove
|
Borgvn
23
|
Sandnes
|
SQL
ORDER BY Keyword
The ORDER BY
keyword is used to sort the result-set.
The ORDER BY Keyword
The ORDER BY keyword is used to sort the result-set by a specified column.
The ORDER BY keyword sort the records in ascending order by default.
If you want to sort the records in a descending order, you can use the DESC
keyword.
SQL ORDER BY Syntax
|
SELECT column_name(s)
FROM table_name
ORDER BY column_name(s) ASC|DESC
|
ORDER BY Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Tom
|
Vingvn 23
|
Stavanger
|
Now we want to select all the persons from the table above, however, we want
to sort the persons by their last name.
We use the following SELECT statement:
|
SELECT * FROM Persons
ORDER BY LastName
|
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
4
|
Nilsen
|
Tom
|
Vingvn 23
|
Stavanger
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
ORDER BY DESC Example
Now we want to select all the persons from the table above, however, we want
to sort the persons descending by their last name.
We use the following SELECT statement:
|
SELECT * FROM Persons
ORDER BY LastName DESC
|
The result-set will look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Tom
|
Vingvn 23
|
Stavanger
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
SQL
INSERT INTO Statement
The INSERT INTO
statement is used to insert new records in a table.
The INSERT INTO Statement
The INSERT INTO statement is used to insert a new row in a table.
SQL INSERT INTO Syntax
It is possible to write the INSERT INTO statement in two forms.
The first form doesn't specify the column names where the data will be
inserted, only their values:
|
INSERT INTO table_name
VALUES (value1, value2, value3,...)
|
The second form specifies both the column names and the values to be
inserted:
|
INSERT INTO table_name (column1, column2, column3,...)
VALUES (value1, value2, value3,...)
|
SQL INSERT INTO Example
We have the following "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
Now we want to insert a new row in the "Persons" table.
We use the following SQL statement:
|
INSERT INTO Persons
VALUES (4,'Nilsen', 'Johan', 'Bakken 2', 'Stavanger')
|
The "Persons" table will now look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Johan
|
Bakken 2
|
Stavanger
|
Insert Data Only in Specified
Columns
It is also possible to only add data in specific columns.
The following SQL statement will add a new row, but only add data in the
"P_Id", "LastName" and the "FirstName" columns:
|
INSERT INTO Persons (P_Id, LastName, FirstName)
VALUES (5, 'Tjessem', 'Jakob')
|
The "Persons" table will now look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Johan
|
Bakken 2
|
Stavanger
|
|
5
|
Tjessem
|
Jakob
|
|
|
SQL
UPDATE Statement
The UPDATE statement is used to update records in a table.
The UPDATE Statement
The UPDATE statement is used to update existing records in a table.
SQL UPDATE Syntax
|
UPDATE table_name
SET column1=value, column2=value2,...
WHERE some_column=some_value
|
Note: Notice the WHERE clause in the UPDATE syntax. The WHERE clause
specifies which record or records that should be updated. If you omit the WHERE
clause, all records will be updated!
SQL UPDATE Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Johan
|
Bakken 2
|
Stavanger
|
|
5
|
Tjessem
|
Jakob
|
|
|
Now we want to update the person "Tjessem, Jakob" in the
"Persons" table.
We use the following SQL statement:
|
UPDATE Persons
SET Address='Nissestien 67', City='Sandnes'
WHERE LastName='Tjessem' AND FirstName='Jakob'
|
The "Persons" table will now look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Johan
|
Bakken 2
|
Stavanger
|
|
5
|
Tjessem
|
Jakob
|
Nissestien 67
|
Sandnes
|
SQL UPDATE Warning
Be careful when updating records. If we had omitted the WHERE clause in the
example above, like this:
|
UPDATE Persons
SET Address='Nissestien 67', City='Sandnes'
|
The "Persons" table would have looked like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Nissestien 67
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Nissestien 67
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Nissestien 67
|
Sandnes
|
|
4
|
Nilsen
|
Johan
|
Nissestien 67
|
Sandnes
|
|
5
|
Tjessem
|
Jakob
|
Nissestien 67
|
Sandnes
|
SQL
DELETE Statement
The DELETE statement is used to delete records in a table.
The DELETE Statement
The DELETE statement is used to delete rows in a table.
SQL DELETE Syntax
|
DELETE FROM table_name
WHERE some_column=some_value
|
Note: Notice the WHERE clause in the DELETE syntax. The WHERE clause
specifies which record or records that should be deleted. If you omit the WHERE
clause, all records will be deleted!
SQL DELETE Example
The "Persons" table:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Johan
|
Bakken 2
|
Stavanger
|
|
5
|
Tjessem
|
Jakob
|
Nissestien 67
|
Sandnes
|
Now we want to delete the person "Tjessem, Jakob" in the
"Persons" table.
We use the following SQL statement:
|
DELETE FROM Persons
WHERE LastName='Tjessem' AND FirstName='Jakob'
|
The "Persons" table will now look like this:
|
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
|
4
|
Nilsen
|
Johan
|
Bakken 2
|
Stavanger
|
Delete All Rows
It is possible to delete all rows in a table without deleting the table.
This means that the table structure, attributes, and indexes will be intact:
|
DELETE FROM table_name
or
DELETE * FROM table_name
|
Note: Be very
careful when deleting records. You cannot undo this statement!