SlideShare a Scribd company logo
1 of 26
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-1
Summary of SQL Queries
 A query in SQL can consist of up to six clauses, but only
the first two, SELECT and FROM, are mandatory. The
clauses are specified in the following order:
SELECT <attribute list>
FROM <table list>
[WHERE <condition>]
[GROUP BY <grouping attribute(s)>]
[HAVING <group condition>]
[ORDER BY <attribute list>]
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-2
Summary of SQL Queries
(cont.)
 The SELECT-clause lists the attributes or functions to be
retrieved
 The FROM-clause specifies all relations (or aliases) needed in
the query but not those needed in nested queries
 The WHERE-clause specifies the conditions for selection and
join of tuples from the relations specified in the FROM-clause
 GROUP BY specifies grouping attributes
 HAVING specifies a condition for selection of groups
 ORDER BY specifies an order for displaying the result of a
query
 A query is evaluated by first applying the WHERE-clause, then
GROUP BY and HAVING, and finally the SELECT-clause
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-3
THE HAVING-CLAUSE
 Query: For each project on which more than two
employees work , retrieve the project number, project
name, and the number of employees who work on that
project.
SELECT PNUMBER, PNAME, COUNT (*)
FROM PROJECT, WORKS_ON
WHERE PNUMBER=PNO
GROUP BY PNUMBER, PNAME
HAVING COUNT (*) > 2
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-4
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-5
SQL> select * from employee;
NAME SSN SALARY DNO SUPERSSN
----- ---------- ---------- ---------- ----------
johny 12345 40000 5 33344
frank 33344 30000 5 88866
james 88866 40000 4 77777
borgs 77777 30000 5 88866
(Zhang 55555 35000 4 12345
TTTT 66666 10000 1 33344)
Q: count total # of employees whose salaries exceed $35000,
but only for dept where more than 1 employee works.
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-6
SQL> select dname,count(*)
2 from dept,employee
3 where dnumber=dno and salary >35000
4 group by dname
5 having count(*) > 1;
no rows selected
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-7
SQL> select dname,count(*)
2 from dept,employee
3 where dnumber=dno and salary >35000 and
4 dno in (select dno
5 from employee
6 group by dno
7 having count(*) > 1)
8 group by dname;
DNAME COUNT(*)
----- ----------
resea 1
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-8
SQL> select dname,count(*),sum(salary)
2 from dept,employee
3 where dnumber=dno and
4 dno in (select dno
5 from employee
6 group by dno
7 having count(*) > 1)
8 group by dname
9 having sum(salary) > 35000;
DNAME COUNT(*) SUM(SALARY)
----- ---------- -----------------
resea 3 100000
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-9
SQL> select * from employee1;
FNAME LNAME SSN SUPERSSN
----- ----- ---------- ----------
johny smith 12345 33344
frank whong 33344 88866
james borgs 88866
SQL> select * from depedent;
FNAME LNAME SSN AGE
----- ----- ---------- ----------
johny smith 12345 4
frank whong 33344 6
johny smith 12345 14
james borgs 88866 16
james borgs 88866 18
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-10
NESTING OF QUERIES
 A complete SELECT query, called a nested query , can be specified
within the WHERE-clause of another query, called the outer query
 Many of the previous queries can be specified in an alternative form
using nesting
 Query : Retrieve the name and address of all employees who work for
the 'Research' department.
Q: SELECT FNAME, LNAME, ADDRESS
FROM EMPLOYEE
WHERE DNO IN (SELECT DNUMBER
FROM DEPARTMENT
WHERE DNAME='Research' )
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-11
NESTING OF QUERIES
 The nested query selects the number of the 'Research' department
 The outer query select an EMPLOYEE tuple if its DNO value is in the
result of either nested query
 The comparison operator IN compares a value v with a set (or multi-set)
of values V, and evaluates to TRUE if v is one of the elements in V
 In general, we can have several levels of nested queries
 A reference to an unqualified attribute refers to the relation declared in
the innermost nested query
 In this example, the nested query is not correlated with the outer query
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-12
CORRELATED NESTED
QUERIES
 If a condition in the WHERE-clause of a nested query references an
attribute of a relation declared in the outer query , the two queries are
said to be correlated
 The result of a correlated nested query is different for each tuple (or
combination of tuples) of the relation(s) the outer query
 Query: Retrieve the name of each employee who has a dependent with
the same first name as the employee.
Q: SELECT E.FNAME, E.LNAME
FROM EMPLOYEE AS E
WHERE E.SSN IN (SELECT ESSN
FROM DEPENDENT
WHERE ESSN=E.SSN AND
E.FNAME=DEPENDENT_NAME)
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-13
SQL> select FNAME, LNAME
2 from employee1 E
3 where (select count(*)
4 from depedent
5 where ssn = E.ssn ) >= 2;
where (select count(*)
*
ERROR at line 3:
ORA-00936: missing expression
SQL> select FNAME, LNAME
2 from employee1 E
3 where 2 <= (select count(*)
4 from depedent
5 where ssn = E.ssn );
FNAME LNAME
----- -----
johny smith
james borgs
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-14
ORDER BY
 The ORDER BY clause is used to sort the tuples in a
query result based on the values of some attribute(s)
 Query: Retrieve a list of employees and the projects
each works in, ordered by the employee's department,
and within each department ordered alphabetically by
employee last name.
Q: SELECT DNAME, LNAME, FNAME, PNAME
FROM DEPARTMENT, EMPLOYEE,
WORKS_ON, PROJECT
WHERE DNUMBER=DNO AND SSN=ESSN
AND PNO=PNUMBER
ORDER BY DNAME, LNAME
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-15
ORDER BY (cont.)
 The default order is in ascending order of values
 We can specify the keyword DESC if we want a
descending order; the keyword ASC can be used to
explicitly specify ascending order, even though it is
the default
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-16
Specifying Updates in SQL
There are three SQL commands to modify
the database; INSERT, DELETE, and
UPDATE
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-17
INSERT
In its simplest form, it is used to add one or
more tuples to a relation
Attribute values should be listed in the same
order as the attributes were specified in the
CREATE TABLE command
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-18
INSERT (cont.)
 Example:
U1: INSERT INTO EMPLOYEE
VALUES ('Richard','K','Marini', '653298653', '30-DEC-52',
'98 Oak Forest,Katy,TX', 'M', 37000,'987654321', 4 )
 An alternate form of INSERT specifies explicitly the attribute names
that correspond to the values in the new tuple
 Attributes with NULL values can be left out
 Example: Insert a tuple for a new EMPLOYEE for whom we only
know the FNAME, LNAME, and SSN attributes.
U1A: INSERT INTO EMPLOYEE (FNAME, LNAME, SSN)
VALUES ('Richard', 'Marini', '653298653')
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-19
INSERT (cont.)
 Important Note: Only the constraints specified in
the DDL commands are automatically enforced by
the DBMS when updates are applied to the
database
 Another variation of INSERT allows insertion of
multiple tuples resulting from a query into a
relation
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-20
INSERT (cont.)
– Example: Suppose we want to create a temporary table that has the name,
number of employees, and total salaries for each department. A table
DEPTS_INFO is created by U3A, and is loaded with the summary
information retrieved from the database by the query in U3B.
U3A: CREATE TABLE DEPTS_INFO
(DEPT_NAME VARCHAR(10),
NO_OF_EMPS INTEGER,
TOTAL_SAL INTEGER);
U3B: INSERT INTO DEPTS_INFO (DEPT_NAME,
NO_OF_EMPS, TOTAL_SAL)
SELECT DNAME, COUNT (*), SUM (SALARY)
FROM DEPARTMENT, EMPLOYEE
WHERE DNUMBER=DNO
GROUP BY DNAME ;
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-21
INSERT (cont.)
 Note: The DEPTS_INFO table may not be up-to-date if we
change the tuples in either the DEPARTMENT or the
EMPLOYEE relations after issuing U3B. We have to
create a view (see later) to keep such a table up to date.
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-22
DELETE
 Removes tuples from a relation
 Includes a WHERE-clause to select the tuples to be deleted
 Tuples are deleted from only one table at a time (unless
CASCADE is specified on a referential integrity
constraint)
 A missing WHERE-clause specifies that all tuples in the
relation are to be deleted; the table then becomes an empty
table
 The number of tuples deleted depends on the number of
tuples in the relation that satisfy the WHERE-clause
 Referential integrity should be enforced
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-23
DELETE (cont.)
 Examples:
U4A: DELETE FROM EMPLOYEE
WHERE LNAME='Brown’
U4B: DELETE FROM EMPLOYEE
WHERE SSN='123456789’
U4C: DELETE FROM EMPLOYEE
WHERE DNO IN
(SELECT DNUMBER
FROM DEPARTMENT
WHERE DNAME='Research')
U4D: DELETE FROM EMPLOYEE
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-24
UPDATE
 Used to modify attribute values of one or more
selected tuples
 A WHERE-clause selects the tuples to be
modified
 An additional SET-clause specifies the attributes
to be modified and their new values
 Each command modifies tuples in the same
relation
 Referential integrity should be enforced
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-25
UPDATE (cont.)
 Example: Change the location and controlling department
number of project number 10 to 'Bellaire' and 5,
respectively.
U5: UPDATE PROJECT
SET PLOCATION = 'Bellaire', DNUM = 5
WHERE PNUMBER=10
Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition
Copyright © 2004 Ramez Elmasri and Shamkant Navathe
Slide 8-26
UPDATE (cont.)
 Example: Give all employees in the 'Research' department a 10% raise
in salary.
U6: UPDATE EMPLOYEE
SET SALARY = SALARY *1.1
WHERE DNO IN (SELECT DNUMBER
FROM DEPARTMENT
WHERE DNAME='Research')
 In this request, the modified SALARY value depends on the original
SALARY value in each tuple
 The reference to the SALARY attribute on the right of = refers to the old
SALARY value before modification
 The reference to the SALARY attribute on the left of = refers to the new
SALARY value after modification

More Related Content

Similar to SQL-examples.ppt (20)

Week6_Theory.pptx
Week6_Theory.pptxWeek6_Theory.pptx
Week6_Theory.pptx
 
Sql 2006
Sql 2006Sql 2006
Sql 2006
 
Week8_Theory.pptx
Week8_Theory.pptxWeek8_Theory.pptx
Week8_Theory.pptx
 
Lab5 sub query
Lab5   sub queryLab5   sub query
Lab5 sub query
 
Oracle notes
Oracle notesOracle notes
Oracle notes
 
Class 8 - Database Programming
Class 8 - Database ProgrammingClass 8 - Database Programming
Class 8 - Database Programming
 
Les06 Subqueries
Les06 SubqueriesLes06 Subqueries
Les06 Subqueries
 
Chapter08
Chapter08Chapter08
Chapter08
 
Les12[1]Creating Views
Les12[1]Creating ViewsLes12[1]Creating Views
Les12[1]Creating Views
 
Module 3.1.pptx
Module 3.1.pptxModule 3.1.pptx
Module 3.1.pptx
 
Sql select statement
Sql select statementSql select statement
Sql select statement
 
My sql.ppt
My sql.pptMy sql.ppt
My sql.ppt
 
Les06- Subqueries.ppt
Les06- Subqueries.pptLes06- Subqueries.ppt
Les06- Subqueries.ppt
 
Sql (DBMS)
Sql (DBMS)Sql (DBMS)
Sql (DBMS)
 
Subqueries, Backups, Users and Privileges
Subqueries, Backups, Users and PrivilegesSubqueries, Backups, Users and Privileges
Subqueries, Backups, Users and Privileges
 
Oracle examples
Oracle examplesOracle examples
Oracle examples
 
SQL.pptx
SQL.pptxSQL.pptx
SQL.pptx
 
SQL logical operators
SQL logical operatorsSQL logical operators
SQL logical operators
 
MERGE SQL Statement: Lesser Known Facets
MERGE SQL Statement: Lesser Known FacetsMERGE SQL Statement: Lesser Known Facets
MERGE SQL Statement: Lesser Known Facets
 
Chapter8 my sql revision tour
Chapter8 my sql revision tourChapter8 my sql revision tour
Chapter8 my sql revision tour
 

Recently uploaded

DC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equationDC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equationBhangaleSonal
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxSCMS School of Architecture
 
Moment Distribution Method For Btech Civil
Moment Distribution Method For Btech CivilMoment Distribution Method For Btech Civil
Moment Distribution Method For Btech CivilVinayVitekari
 
Engineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planesEngineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planesRAJNEESHKUMAR341697
 
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapUnleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapRishantSharmaFr
 
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersComputer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersMairaAshraf6
 
Wadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxWadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxNadaHaitham1
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdfKamal Acharya
 
AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsAIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsvanyagupta248
 
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Call Girls Mumbai
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptDineshKumar4165
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTbhaskargani46
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXssuser89054b
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"mphochane1998
 
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdfdata_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdfJiananWang21
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . pptDineshKumar4165
 
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best ServiceTamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Servicemeghakumariji156
 
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxA CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxmaisarahman1
 

Recently uploaded (20)

Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - NeometrixIntegrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
 
DC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equationDC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equation
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
 
Moment Distribution Method For Btech Civil
Moment Distribution Method For Btech CivilMoment Distribution Method For Btech Civil
Moment Distribution Method For Btech Civil
 
Engineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planesEngineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planes
 
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapUnleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
 
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersComputer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
 
Wadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxWadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptx
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdf
 
AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsAIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech students
 
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
 
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdfdata_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced LoadsFEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
 
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best ServiceTamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
 
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxA CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
 

SQL-examples.ppt

  • 1. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-1 Summary of SQL Queries  A query in SQL can consist of up to six clauses, but only the first two, SELECT and FROM, are mandatory. The clauses are specified in the following order: SELECT <attribute list> FROM <table list> [WHERE <condition>] [GROUP BY <grouping attribute(s)>] [HAVING <group condition>] [ORDER BY <attribute list>]
  • 2. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-2 Summary of SQL Queries (cont.)  The SELECT-clause lists the attributes or functions to be retrieved  The FROM-clause specifies all relations (or aliases) needed in the query but not those needed in nested queries  The WHERE-clause specifies the conditions for selection and join of tuples from the relations specified in the FROM-clause  GROUP BY specifies grouping attributes  HAVING specifies a condition for selection of groups  ORDER BY specifies an order for displaying the result of a query  A query is evaluated by first applying the WHERE-clause, then GROUP BY and HAVING, and finally the SELECT-clause
  • 3. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-3 THE HAVING-CLAUSE  Query: For each project on which more than two employees work , retrieve the project number, project name, and the number of employees who work on that project. SELECT PNUMBER, PNAME, COUNT (*) FROM PROJECT, WORKS_ON WHERE PNUMBER=PNO GROUP BY PNUMBER, PNAME HAVING COUNT (*) > 2
  • 4. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-4
  • 5. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-5 SQL> select * from employee; NAME SSN SALARY DNO SUPERSSN ----- ---------- ---------- ---------- ---------- johny 12345 40000 5 33344 frank 33344 30000 5 88866 james 88866 40000 4 77777 borgs 77777 30000 5 88866 (Zhang 55555 35000 4 12345 TTTT 66666 10000 1 33344) Q: count total # of employees whose salaries exceed $35000, but only for dept where more than 1 employee works.
  • 6. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-6 SQL> select dname,count(*) 2 from dept,employee 3 where dnumber=dno and salary >35000 4 group by dname 5 having count(*) > 1; no rows selected
  • 7. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-7 SQL> select dname,count(*) 2 from dept,employee 3 where dnumber=dno and salary >35000 and 4 dno in (select dno 5 from employee 6 group by dno 7 having count(*) > 1) 8 group by dname; DNAME COUNT(*) ----- ---------- resea 1
  • 8. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-8 SQL> select dname,count(*),sum(salary) 2 from dept,employee 3 where dnumber=dno and 4 dno in (select dno 5 from employee 6 group by dno 7 having count(*) > 1) 8 group by dname 9 having sum(salary) > 35000; DNAME COUNT(*) SUM(SALARY) ----- ---------- ----------------- resea 3 100000
  • 9. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-9 SQL> select * from employee1; FNAME LNAME SSN SUPERSSN ----- ----- ---------- ---------- johny smith 12345 33344 frank whong 33344 88866 james borgs 88866 SQL> select * from depedent; FNAME LNAME SSN AGE ----- ----- ---------- ---------- johny smith 12345 4 frank whong 33344 6 johny smith 12345 14 james borgs 88866 16 james borgs 88866 18
  • 10. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-10 NESTING OF QUERIES  A complete SELECT query, called a nested query , can be specified within the WHERE-clause of another query, called the outer query  Many of the previous queries can be specified in an alternative form using nesting  Query : Retrieve the name and address of all employees who work for the 'Research' department. Q: SELECT FNAME, LNAME, ADDRESS FROM EMPLOYEE WHERE DNO IN (SELECT DNUMBER FROM DEPARTMENT WHERE DNAME='Research' )
  • 11. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-11 NESTING OF QUERIES  The nested query selects the number of the 'Research' department  The outer query select an EMPLOYEE tuple if its DNO value is in the result of either nested query  The comparison operator IN compares a value v with a set (or multi-set) of values V, and evaluates to TRUE if v is one of the elements in V  In general, we can have several levels of nested queries  A reference to an unqualified attribute refers to the relation declared in the innermost nested query  In this example, the nested query is not correlated with the outer query
  • 12. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-12 CORRELATED NESTED QUERIES  If a condition in the WHERE-clause of a nested query references an attribute of a relation declared in the outer query , the two queries are said to be correlated  The result of a correlated nested query is different for each tuple (or combination of tuples) of the relation(s) the outer query  Query: Retrieve the name of each employee who has a dependent with the same first name as the employee. Q: SELECT E.FNAME, E.LNAME FROM EMPLOYEE AS E WHERE E.SSN IN (SELECT ESSN FROM DEPENDENT WHERE ESSN=E.SSN AND E.FNAME=DEPENDENT_NAME)
  • 13. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-13 SQL> select FNAME, LNAME 2 from employee1 E 3 where (select count(*) 4 from depedent 5 where ssn = E.ssn ) >= 2; where (select count(*) * ERROR at line 3: ORA-00936: missing expression SQL> select FNAME, LNAME 2 from employee1 E 3 where 2 <= (select count(*) 4 from depedent 5 where ssn = E.ssn ); FNAME LNAME ----- ----- johny smith james borgs
  • 14. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-14 ORDER BY  The ORDER BY clause is used to sort the tuples in a query result based on the values of some attribute(s)  Query: Retrieve a list of employees and the projects each works in, ordered by the employee's department, and within each department ordered alphabetically by employee last name. Q: SELECT DNAME, LNAME, FNAME, PNAME FROM DEPARTMENT, EMPLOYEE, WORKS_ON, PROJECT WHERE DNUMBER=DNO AND SSN=ESSN AND PNO=PNUMBER ORDER BY DNAME, LNAME
  • 15. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-15 ORDER BY (cont.)  The default order is in ascending order of values  We can specify the keyword DESC if we want a descending order; the keyword ASC can be used to explicitly specify ascending order, even though it is the default
  • 16. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-16 Specifying Updates in SQL There are three SQL commands to modify the database; INSERT, DELETE, and UPDATE
  • 17. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-17 INSERT In its simplest form, it is used to add one or more tuples to a relation Attribute values should be listed in the same order as the attributes were specified in the CREATE TABLE command
  • 18. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-18 INSERT (cont.)  Example: U1: INSERT INTO EMPLOYEE VALUES ('Richard','K','Marini', '653298653', '30-DEC-52', '98 Oak Forest,Katy,TX', 'M', 37000,'987654321', 4 )  An alternate form of INSERT specifies explicitly the attribute names that correspond to the values in the new tuple  Attributes with NULL values can be left out  Example: Insert a tuple for a new EMPLOYEE for whom we only know the FNAME, LNAME, and SSN attributes. U1A: INSERT INTO EMPLOYEE (FNAME, LNAME, SSN) VALUES ('Richard', 'Marini', '653298653')
  • 19. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-19 INSERT (cont.)  Important Note: Only the constraints specified in the DDL commands are automatically enforced by the DBMS when updates are applied to the database  Another variation of INSERT allows insertion of multiple tuples resulting from a query into a relation
  • 20. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-20 INSERT (cont.) – Example: Suppose we want to create a temporary table that has the name, number of employees, and total salaries for each department. A table DEPTS_INFO is created by U3A, and is loaded with the summary information retrieved from the database by the query in U3B. U3A: CREATE TABLE DEPTS_INFO (DEPT_NAME VARCHAR(10), NO_OF_EMPS INTEGER, TOTAL_SAL INTEGER); U3B: INSERT INTO DEPTS_INFO (DEPT_NAME, NO_OF_EMPS, TOTAL_SAL) SELECT DNAME, COUNT (*), SUM (SALARY) FROM DEPARTMENT, EMPLOYEE WHERE DNUMBER=DNO GROUP BY DNAME ;
  • 21. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-21 INSERT (cont.)  Note: The DEPTS_INFO table may not be up-to-date if we change the tuples in either the DEPARTMENT or the EMPLOYEE relations after issuing U3B. We have to create a view (see later) to keep such a table up to date.
  • 22. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-22 DELETE  Removes tuples from a relation  Includes a WHERE-clause to select the tuples to be deleted  Tuples are deleted from only one table at a time (unless CASCADE is specified on a referential integrity constraint)  A missing WHERE-clause specifies that all tuples in the relation are to be deleted; the table then becomes an empty table  The number of tuples deleted depends on the number of tuples in the relation that satisfy the WHERE-clause  Referential integrity should be enforced
  • 23. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-23 DELETE (cont.)  Examples: U4A: DELETE FROM EMPLOYEE WHERE LNAME='Brown’ U4B: DELETE FROM EMPLOYEE WHERE SSN='123456789’ U4C: DELETE FROM EMPLOYEE WHERE DNO IN (SELECT DNUMBER FROM DEPARTMENT WHERE DNAME='Research') U4D: DELETE FROM EMPLOYEE
  • 24. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-24 UPDATE  Used to modify attribute values of one or more selected tuples  A WHERE-clause selects the tuples to be modified  An additional SET-clause specifies the attributes to be modified and their new values  Each command modifies tuples in the same relation  Referential integrity should be enforced
  • 25. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-25 UPDATE (cont.)  Example: Change the location and controlling department number of project number 10 to 'Bellaire' and 5, respectively. U5: UPDATE PROJECT SET PLOCATION = 'Bellaire', DNUM = 5 WHERE PNUMBER=10
  • 26. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Ramez Elmasri and Shamkant Navathe Slide 8-26 UPDATE (cont.)  Example: Give all employees in the 'Research' department a 10% raise in salary. U6: UPDATE EMPLOYEE SET SALARY = SALARY *1.1 WHERE DNO IN (SELECT DNUMBER FROM DEPARTMENT WHERE DNAME='Research')  In this request, the modified SALARY value depends on the original SALARY value in each tuple  The reference to the SALARY attribute on the right of = refers to the old SALARY value before modification  The reference to the SALARY attribute on the left of = refers to the new SALARY value after modification

Editor's Notes

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20
  21. 21
  22. 22
  23. 23
  24. 24
  25. 25
  26. 26