SQL

Introduction to Database
ICT 2073
SQL- Data Manipulation
Prepared by: Ms Siti Hajar

SQL (DML) 2
Database Design
Steps in building a database for an application:
Real-world
domain
Conceptual
model
DBMS data
model
Create
Schema
(DDL)
Modify
data (DML)

SQL (DML) 3
Data Manipulation Language
(DML) Statements
The main SQL data manipulation language statements are:
SELECT
INSERT INTO
UPDATE
DELETE FROM

SQL (DML) 4
Notations
Notations to define SQL statements:
• UPPER-CASE letters represents reserved words.
• Lower-case letters represents user-defined words.
• | indicates a choice among alternatives; (e.g. a | b | c).
• { } indicates a required element.
• [ ] indicates an optional element.
• … indicates optional repetition of an item zero or more times.
• Underlined words represent default values.

5
Simple Queries
 column represents a column name.
 column_expression represents an expression on a column.
 table_name is the name of an existing database table or view.
 FROM specifies the table(s) to be used.
 WHERE filters the rows subject to some condition.
 GROUP BY forms groups of rows with the same column name.
 SELECT specifies which column are to appear in the output.
 ORDER BY specifies the order of the output.
 Order of the clauses in the SELECT statement can not be changed.
 The result of a query is another table.
 Asterisk (*) means all columns.
Syntax
SELECT [DISTINCT|ALL]{*|column|column_expression [AS new_name][,…]}
FROM table_name [alias] [, … ]
[WHERE condition]
[GROUP BY column_list]
[HAVING condition]
[ORDER BY column_list [ASC|DESC]];

SQL (DML) 6
Simple Queries
Retrieve all columns & rows
Syntax
SELECT {* | column| column_expression [,…]}
FROM table_name;
Example: STAFF(sno, fname, lname, position, sex, dob, salary, bno)
Retrieve all staff information.
SELECT sno, fname, lname, position, sex, dob, salary, bno
FROM staff;
OR
SELECT *
FROM staff;

SQL (DML) 7
Simple Queries
Retrieve specific columns & all rows
List salaries of all staff, showing only the staff number, the first and last
name, and salary.
SELECT sno, fname, lname, salary
FROM staff;

SQL (DML) 8
Simple Queries
Use of DISTINCT
DISTINCT eliminates duplicated tuples.
Syntax
SELECT [DISTINCT|ALL] {* | column |column_expression [,…]}
FROM table_name;
List the available positions for staff .
SELECT DISTINCT position
FROM staff;

SQL (DML) 9
Simple Queries
Calculated fields
 The SQL expression in the SELECT list specifies a derived field.
 Columns referenced in the arithmetic expression must have a numeric type.
 SQL expression can involve + , - , * , / , ( , ).
 AS clause is used to name the derived column.
Syntax
SELECT {* | column| column_expression [AS new_name] [,…]}
FROM table_name;
List the monthly salaries for all staff, showing the staff number, the first and last names.
SELECT sno, fname, lname, salary/12 AS MonthlySalary
FROM staff;

SQL (DML) 10
Simple Queries
Row selection (WHERE clause)
WHERE clause consists of five basic search conditions:
 Comparison: Compare the value of one expression to the value of another
expression (= , <, >, <=, >=, <>).
 Range: Test whether the value of an expression falls within a specified range of
values (BETWEEN/ NOT BETWEEN).
 Set membership: Test whether the value of an expression equals one of a set of
values (IN/ NOT IN).
 Pattern match: Test whether a string matches a specified pattern (LIKE/ NOT
LIKE).
 NULL: Test whether a column has null value (IS NULL/ IS NOT NULL).

SQL (DML) 11
Simple Queries
Comparison search condition
Comparison operators: = , < , > , <= , >= , <>
Syntax
SELECT [DISTINCT|ALL] {* | column| [column_expression [AS
new_name]] [,…]}
FROM table_name
[WHERE condition];
List all staff with a salary greater than 10,000. showing number, name and
salary.
FROM staff
WHERE salary > 10000;

SQL (DML) 12
Simple Queries
Compound comparison search condition
Compound comparison operators: AND , OR , NOT , ( )
Order of evaluation:
• Expression is evaluated left to right
• Between brackets
• NOT
• AND
• OR
List all staff who works as managers or assistants.
SELECT sno, fname, lname, position
FROM staff
WHERE position = ‘Manager’ OR position = ‘Assistant’;

SQL (DML) 13
Simple Queries
BETWEEN/ NOT BETWEEN
BETWEEN checks if a value is within a range.
NOT BETWEEN checks if a value is outside a range.
List all staff with a salary between 20000 and 30000.
FROM staff
WHERE salary BETWEEN 20000 AND 30000;
This would be expressed as:
FROM staff
WHERE salary >= 20000 AND salary <= 30000;

SQL (DML) 14
Simple Queries
ORDER BY clause
Allows the retrieved records to be ordered in ascending (ASC) or descending
order (DESC) on any column or combination of columns.
Syntax
SELECT {* | [column_expression] [,…]}
FROM table_name
[ORDER BY column_list [ASC|DESC] ]
Single Column ordering
STAFF(sno, fname, lname, position, sex, dob, salary, bno)
Produce a list of salaries for all staff, arranged in descending order of salary.
FROM staff
ORDER BY salary DESC;

SQL (DML) 15
Simple Queries
ORDER BY clause
Multiple columns ordering
Property (PropertyNo, Street, City, postcode, Type, OwnerNo, Rooms, Rent)
Produce a list of properties arranged in order of property type and within
each property type ordered by rent in descending order.
SELECT propertyNo, type, rooms, rent
FROM property
ORDER BY type, rent DESC;

16
Simple Queries
Aggregation
Functions that operate on a single column of a table and return a single value.
Five aggregation functions defined in SQL:
COUNT returns the number of rows in a specified column.
SUM returns the sum of the values in a specified column.
AVG returns the average of the values in a specified column.
MIN returns the smallest value in a specified column.
MAX returns the largest value in a specified column.
Examples:
Property (PropertyNo, Street, City, postcode, Type, OwnerNo, Rooms, Rent)
How many properties cost more than 350 per month to rent?
SELECT COUNT(*) AS count
FROM property
WHERE rent > 350;
2
count

SQL (DML) 17
Simple Queries
Aggregation
VIEWING (ClientNo, PropertyNo, ViewDate, Comment)
How many different properties were viewed in May 1998?
SELECT COUNT(DISTINCT PropertyNo) AS count
FROM viewing
WHERE Viewdate BETWEEN ‘1-May-98’ AND ‘31-May-98’;
2
count

SQL (DML) 18
Simple Queries
Aggregation
Find the total number of Managers and the sum of their salaries.
SELECT COUNT(sno) AS count, SUM(salary) AS sum
FROM staff
WHERE position = ‘Manager’;
2
count
54000
sum

SQL (DML) 19
Simple Queries
Aggregation
Find the minimum, maximum, and average staff salary.
SELECT MIN(salary) AS min, MAX(salary) AS max,
AVG(salary) AS avg
FROM staff;
9000
min
30000
max avg
17000

SQL (DML) 20
Simple Queries
GROUP BY clause
Groups the data from the SELECT table(s) and produces a single summary
row for each group.
Example:
Find the number of staff working in each branch and the sum of their
salaries.
SELECT bno, COUNT(sno) AS count, SUM(salary) AS sum
FROM staff
GROUP BY bno;
B003
bno
3
count sum
54000
B005 2 39000
B007 1 9000

SQL (DML) 21
Simple Queries
GROUP BY clause
B003
bno
SG5
sno salary
24000
B005 SL21 30000
B007
SL41 9000
3
count sum
54000
2 39000
1 9000
B003
B003
B005
SG14
SG37
SA9 9000
18000
12000

SQL (DML) 22
Multi-Table Queries
 So far, the columns that are to appear in the result table must all come from
a single table.
 To combine columns from several tables into a result table, we need to use a
join operation.
 To perform a join, we include more than one table name in the FROM
clause. WHERE clause to specify the join columns.
SELECT [DISTINCT|ALL] {* |column |[column_expression
[AS new_name]] [,…]}
FROM table_name [alias] [, … ]
[WHERE condition];

23
Simple Join
CLIENT (ClientNo, Fname, Lname, telNo, Type, Rent)
VIEWING (ClientNo, PropertyNo, Date, Comment)
Example:
List the names of all clients who have viewed a property along with any
comment supplied.
SELECT c.clientNo, fname, lname, propertyNo, comment
FROM client c, viewing v
WHERE c.clientNo = v.clientNo;
Alternatives:
FROM client c JOIN viewing v ON c.clientNo = v.clientNo;
FROM client JOIN viewing USING clientNo;
FROM client NATURAL JOIN viewing;

SQL (DML) 24
Sorting a Join
PROPERTYFORRENT (pno, street, area, city, pcode, type, rooms, rent, sno)
STAFF (sno, fname, lname, position, sex, DOB, salary, bno)
BRANCH (bno, street, city, postcode)
Example:
For each branch office, list the names of staff who manage properties, and
the properties they manage, ordered by branch number, staff number and
property number.
SELECT s.bno, s.sno, fname, lname, pno
FROM staff s, propertyforrent p
WHERE s.sno = p.sno
ORDER BY s.bno, s.sno, p.pno;

SQL (DML) 25
Computing a Join
A join is a subset of the Cartesian product.
The Cartesian product of two tables is another table consisting of all possible pairs of
rows from the two table.
The columns of the product table are all the columns of the first table followed by all
the columns of the second table.
Format of SELECT statement for the Cartesian product:
SELECT [DISTICNT | ALL] {* | column_list }
FROM table_name1 CROSS JOIN table_name2;

SQL (DML) 26
Computing a Join
The procedure for generating the results of a SELECT with a join are as
follows:
• Form the Cartesian product of the tables named in the FROM clause.
• If there is a WHERE clause, apply the search condition to each row of the
product table, retaining those rows that satisfy the condition. In terms of the
relational algebra, this operation yields a restriction of the Cartesian product.
• For each remaining row, determine the value of each item in the SELECT list to
produce a single row in the result table.
• If SELECT DISTINCT has been specified, eliminate any duplicate rows from the
result table.
• If there is an ORDER BY clause, sort the result table as required.

SQL (DML) 27
Outer Join
The join operation combines data from two tables by forming pairs of related
rows where the matching columns in each table have the same value. If one
row of a table is unmatched, the row is omitted from the result table.
Outer join include the unmatched rows in the result table.
Three types of outer join:
- Left
- Right
- Full

28
B003
BranchNo
Glasgow
bCity
PG4
PropertyNo pCity
Glasgow
B002 London PL94 London
B003
BranchNo
Glasgow
bCity
B004 Bristol
B002 London
BRANCH
PA14
PropertyNo
Aberdeen
pCity
PL94 London
PG4 Glasgow
PROPERTY
SELECT b.*, p.*
FROM branch b, property p
WHERE b.bcity = p.pcity;
Join Example
SQL (DML)

SQL (DML) 29
Left Outer Join
Example:
List the branch offices and properties that are in the same city along with any
unmatched branches.
SELECT b.*, p.*
FROM branch b
LEFT JOIN property p ON
b.bcity = p.pcity;

30
B003
BranchNo
Glasgow
bCity
PG4
PropertyNo pCity
Glasgow
B004 Bristol NULL NULL
B003
BranchNo
Glasgow
bCity
B004 Bristol
B002 London
BRANCH
PA14
PropertyNo
Aberdeen
pCity
PL94 London
PG4 Glasgow
PROPERTY
SELECT b.*, p.*
FROM branch b
LEFT JOIN property p ON
b.bcity = p.pcity;
SQL (DML)

SQL (DML) 31
Right Outer Join
Example:
List the branch offices and properties in the same city and any unmatched
property.
SELECT b.*, p.*
FROM branch b
RIGHT JOIN property p ON
b.bcity = p.pcity;

32
B003
BranchNo
Glasgow
bCity
PL94
PropertyNo pCity
London
B003
BranchNo
Glasgow
bCity
B004 Bristol
B002 London
BRANCH
PA14
PropertyNo
Aberdeen
pCity
PL94 London
PG4 Glasgow
PROPERTY
SELECT b.*, p.*
FROM branch b
RIGHT JOIN property p ON
b.bcity = p.pcity;
B002 London PG4 Glasgow
NULL NULL PA14 Aberdeen
SQL (DML)

SQL (DML) 33
Full Outer Join
Example:
List the branch offices and properties that are in the same city and any
unmatched branches or properties.
SELECT b.*, p.*
FROM branch b
FULL JOIN property p ON
b.bcity = p.pcity;

34
B003
BranchNo
Glasgow
bCity
PG4
PropertyNo pCity
Glasgow
B003
BranchNo
Glasgow
bCity
B004 Bristol
B002 London
BRANCH
PA14
PropertyNo
Aberdeen
pCity
PL94 London
PG4 Glasgow
PROPERTY
SELECT b.*, p.*
FROM branch b
FULL JOIN property p ON
b.bcity = p.pcity;
NULL NULL PA14 Aberdeen
B004 Bristol NULL NULL
SQL (DML)

SQL (DML) 35
UNION
PROPERTYFORRENT (pno, street, area, city, pcode, type, rooms, rent, sno)
STAFF (sno, fname, lname, position, sex, DOB, salary, bno)
BRANCH (bno, street, city, postcode)
Example:
Construct a list of all cities where there is either a branch office or a rental
property.
(SELECT city FROM branch)
UNION
(SELECT city FROM propertyforrent);

36
Adding Data to DB (INSERT)
Syntax
INSERT INTO table_name [(column (,…))]
{ VALUES (date_value (,…)) | subquery };
 table_name may be either a base table or an updatable view.
 column_list represents a list of one or more column names separated by commas.
 If omitted, SQL assumes a list of all columns in their original CREATE TABLE order.
 If specified, then any columns that are omitted from the list must have been
declared as NULL column.
 data_value must match the column_list as follows:
 The number of items in each list must be same.
 There must be a direct correspondence in the position of items in the two lists,
so that the first item in the data_value_list applies to the first item in the
column_list, and so on.
 The data type of each item in the data_value_list must be compatible with the
data type of the corresponding column.

SQL (DML) 37
Simple INSERT
STAFF(sno, fname, lname, position, sex, DOB, salary, bno)
Example:
Insert a new row into the staff table supplying data for all columns.
INSERT INTO staff
VALUES (‘SG16’, ‘Alan’, ‘Brown’, ‘Assistant’, ‘M’,
DATE ‘1957-05-25’, 8300, ‘B003’);

SQL (DML) 38
Simple INSERT
Example:
Insert a new row into the staff table supplying data for all mandatory columns, knowing
that the sex and birth date are optional fields.
INSERT INTO staff (Sno, fname, lname, position, salary, bno)
VALUES (‘SG16’, ‘Alan’, ‘Brown’, ‘Assistant’, 8300, ‘B003’);
Alternative:
INSERT INTO staff
VALUES (‘SG16’, ‘Alan’, ‘Brown’, ‘Assistant’, NULL, NULL, 8300,
‘B003’);

39
INSERT with subqueries
PROPERTYFORRENT(Pno, street, city, postcode, type, rooms, rent, ono, sno, bno)
StaffPropCount(sno, fname, lname, propcount)
Example:
Insert rows into the StaffPropCount table using the staff and property_for_rent
tables.
INSERT INTO staffPropCount
(SELECT s.sno, fname, lname, COUNT(*)
FROM staff s, PropertyForRent p
WHERE s.sno = p.sno
GROUP BY s.sno, fname, lname)
UNION
(SELECT sno, fname, lname, 0
FROM Staff
WHERE sno NOT IN (SELECT DISTINCT sno
FROM PropertyForRent));

SQL (DML) 40
SG14
SG37
SA9
Sno
David
Ann
Mary
FName
Ford
Beech
Howe
LName propCount
1
0
2
SG5
SL41
Susan
Julie
Brand
Lee
1
0
SL21 John White
1

SQL (DML) 41
Modifying Data in the DB
(UPDATE)
Syntax
UPDATE table_name
SET column_name1 = data_value1 [, column_namei =
data_valuei ...]
[WHERE search_condition]
 The SET clause specifies the names of one or more columns
that are updated for all rows in the table.
 Only rows that satisfy the search_condition are updated.
 data_values must be compatible with the data types for the
corresponding columns.

SQL (DML) 42
Simple UPDATE
Example:
Give all staff a 3% pay increase.
UPDATE staff
SET salary = salary * 1.03;
Example:
Give all managers a 3% pay increase.
UPDATE staff
SET salary = salary * 1.03
WHERE position = ‘Manager’;

SQL (DML) 43
Simple UPDATE
Example:
Promote David Ford (sno = ‘SG14’) to Manager and change his salary to
$18,000.
UPDATE staff
SET position=‘Manager’, salary = 18000
WHERE sno=‘SG14’;

SQL (DML) 44
Deleting Data from the DB
(DELETE)
Syntax
DELETE FROM table_name
[WHERE search_condition];
 Only rows that satisfy the search_condition are deleted.
 If no search_condition is omitted, all rows are deleted
from the table.
 DELETE does not delete the table itself, only rows in the
table.

SQL (DML) 45
Example:
Delete all staff in branch B003.
DELETE FROM staff
WHERE bno = ‘B003’;
Example:
Delete all staff.
DELETE FROM staff;
Simple DELETE

SQL

More Related Content

What's hot (8)

Similar to SQL (20)

Recently uploaded (20)

SQL