Dms 22319 micro project

Channabasaveshwara Institute of Technology
(An ISO 9001:2015 certified institution)
NH 206 (B.H. Road), Gubbi, Tumkur – 572 216. Karnataka.
ACADEMIC YEAR – 2017-18
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
BE - V SEMESTER
DBMS LABORATORY
WITH MINI PROJECT
manual -15CSL58

TABLE OF CONTENTS
Chapter No. Concept Page no
CHAPTER 1 BASIC CONCEPTS OF SQL 1
1.1 Introduction to SQL 1
1.2 SQL Commands 1
1.2.1 DDL Commands 2
1.2.2 DML Commands 6
1.2.3 TCL Commands 9
1.2.4 DCL Commands 10
1.3 Stored Procedures in SQL 10
1.4 SQL Triggers 12
1.5 Views in SQL 17
CHAPTER 2 LAB PROGRAM 1 - LIBRARY DATABASE 18
2.1 Problem Statement 18
2.2 ER Diagram 18
2.3 Schema Diagram 19
2.4 Creating Tables 20
2.5 Inserting Values 21
2.6 Queries and Solutions 24
CHAPTER 3 LAB PROGRAM 2 - ORDER DATABASE 29
3.2 ER Diagram 29
CHAPTER 4 LAB PROGRAM 3 - MOVIE DATABASE 37
4.2 ER Diagram 37
CHAPTER 5 LAB PROGRAM 4 - COLLEGE DATABASE 46

5.2 ER Diagram 46
CHAPTER 6 LAB PROGRAM 5 - COMPANY DATABASE 56
6.2 ER Diagram 56
BIBLIOGRAPHY
VIVA QUESTIONS

15CSL57 DBMS Laboratory with Mini Project V Sem CSE
Dept. of CSE, CIT, Gubbi 1
CHAPTER – 1
BASIC CONCEPTS OF SQL
1.1 Introduction to SQL
SQL stands for “Structured Query Language” and can be pronounced as “SQL” or
“sequel – (Structured English Query Language)”. It is a query language used for accessing
and modifying information in the database. IBM first developed SQL in 1970s. Also it is an
ANSI/ISO standard. It has become a Standard Universal Language used by most of the
relational database management systems (RDBMS). Some of the RDBMS systems are:
Oracle, Microsoft SQL server, Sybase etc. Most of these have provided their own
implementation thus enhancing its feature and making it a powerful tool. Few of the SQL
commands used in SQL programming are SELECT Statement, UPDATE Statement,
INSERT INTO Statement, DELETE Statement, WHERE Clause, ORDER BY Clause,
GROUP BY Clause, ORDER Clause, Joins, Views, GROUP Functions, Indexes etc.
1.2 SQL Commands
SQL commands are instructions used to communicate with the database to perform
specific task that work with data. SQL commands can be used not only for searching the
database but also to perform various other functions like, for example, you can create tables,
add data to tables, or modify data, drop the table, set permissions for users. SQL commands
are grouped into four major categories depending on their functionality:
 Data Definition Language (DDL) - These SQL commands are used for creating,
modifying, and dropping the structure of database objects. The commands are
CREATE, ALTER, DROP, RENAME, and TRUNCATE.
 Data Manipulation Language (DML) - These SQL commands are used for storing,
retrieving, modifying and deleting data. These commands are SELECT, INSERT,
UPDATE, and DELETE.
 Transaction Control Language (TCL) - These SQL commands are used for
managing changes affecting the data. These commands are COMMIT, ROLLBACK,
and SAVEPOINT.

 Data Control Language (DCL) - These SQL commands are used for providing
security to database objects. These commands are GRANT and REVOKE.
1.2.1 Data Definition Language (DDL)
1.2.1.1 CREATE TABLE Statement
The CREATE TABLE Statement is used to create tables to store data. Integrity
Constraints like primary key, unique key and foreign key can be defined for the columns
while creating the table. The integrity constraints can be defined at column level or table
level. The implementation and the syntax of the CREATE Statements differs for different
RDBMS.
The Syntax for the CREATE TABLE Statement is:
CREATE TABLE table_name
(column_name1 datatype constraint,
column_name2 datatype, ...
column_nameNdatatype);
 table_name - is the name of the table.
 column_name1, column_name2.... - is the name of the columns
 datatype - is the datatype for the column like char, date, number etc.
SQL Data Types:
char(size) Fixed-length character string. Size is specified in parenthesis. Max 255 bytes.
Varchar2(size) Variable-length character string. Max size is specified in parenthesis.
number(size)
or int
Number value with a max number of column digits specified in parenthesis.
Date Date value in ‘dd-mon-yy’. Eg., ’07-jul-2004’
number(size,d)
or real
Number value with a maximum number of digits of "size" total, with a maximum
number of "d" digits to the right of the decimal.
SQL Integrity Constraints:

Integrity Constraints are used to apply business rules for the database tables.The
constraints available in SQL are Foreign Key, Primary key, Not Null, Unique, Check.
Constraints can be defined in two ways:
1. The constraints can be specified immediately after the column definition. This is called
column-level definition.
2. The constraints can be specified after all the columns are defined. This is called table-
level definition.
1) Primary key:
This constraint defines a column or combination of columns which uniquely
identifies each row in the table.
Syntax to define a Primary key at column level:
Column_namedatatype [CONSTRAINT constraint_name] PRIMARY KEY
Syntax to define a Primary key at table level:
[CONSTRAINT constraint_name] PRIMARY KEY(column_name1,
column_name2,..)
 column_name1, column_name2 are the names of the columns which define the
primary key.
 The syntax within the bracket i.e. [CONSTRAINT constraint_name] is optional.
2) Foreign key or Referential Integrity:
This constraint identifies any column referencing the PRIMARY KEY in another
table. It establishes a relationship between two columns in the same table or between
different tables. For a column to be defined as a Foreign Key, it should be a defined as a
Primary Key in the table which it is referring. One or more columns can be defined as
Foreign key.
Syntax to define a Foreign key at column level:

[CONSTRAINT constraint_name] REFERENCES
referenced_table_name(column_name)
Syntax to define a Foreign key at table level:
[CONSTRAINT constraint_name] FOREIGN KEY(column_name) REFERENCES
referenced_table_name(column_name);
3) Not Null Constraint:
This constraint ensures all rows in the table contain a definite value for the column
which is specified as not null. Which means a null value is not allowed.
Syntax to define a Not Null constraint:
[CONSTRAINT constraint name] NOT NULL
4) Unique Key:
This constraint ensures that a column or a group of columns in each row have a
distinct value. A column(s) can have a null value but the values cannot be duplicated.
Syntax to define a Unique key at column level:
[CONSTRAINT constraint_name] UNIQUE
Syntax to define a Unique key at table level:
[CONSTRAINT constraint_name] UNIQUE(column_name)
5) Check Constraint:
This constraint defines a business rule on a column. All the rows must satisfy this
rule. The constraint can be applied for a single column or a group of columns.
Syntax to define a Check constraint:
[CONSTRAINT constraint_name] CHECK (condition)

1.2.1.2 ALTER TABLE Statement
The SQL ALTER TABLE command is used to modify the definition structure) of a
table by modifying the definition of its columns. The ALTER command is used to perform
the following functions.
1) Add, drop, modify table columns
2) Add and drop constraints
3) Enable and Disable constraints
Syntax to add a column
ALTER TABLE table_name ADD column_namedatatype;
For Example: To add a column "experience" to the employee table, the query would be like
ALTER TABLE employee ADD experience number(3);
Syntax to drop a column
ALTER TABLE table_name DROP column_name;
For Example: To drop the column "location" from the employee table, the query would be like
ALTER TABLE employee DROP location;
Syntax to modify a column
ALTER TABLE table_name MODIFY column_namedatatype;
For Example: To modify the column salary in the employee table, the query would be like
ALTER TABLE employee MODIFY salary number(15,2);
Syntax to add PRIMARY KEY constraint
ALTER TABLE table_nameADD CONSTRAINT constraint_name PRIMARY KEY
column_name;
Syntax to drop PRIMARY KEY constraint
ALTER TABLE table_nameDROP PRIMARY KEY;

1.2.1.3 The DROP TABLE Statement
The DROP TABLE statement is used to delete a table.
DROP TABLE table_name;
1.2.1.4 TRUNCATE TABLE Statement
What if we only want to delete the data inside the table, and not the table itself?
Then, use the TRUNCATE TABLE statement:
TRUNCATE TABLE table_name;
1.2.2 Data Manipulation Language (DML):
The 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.
SELECT Syntax:
SELECT * FROM table_name;
The 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.
SELECT DISTINCT Syntax:
SELECT DISTINCT column_name(s)
FROM table_name;
The WHERE Clause
The WHERE clause is used to extract only those records that fulfill a specified
criterion.
WHERE Syntax:
SELECT column_name(s)
FROM table_name
WHERE column_name operator value;

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.
The ORDER BY Clause
 The ORDER BY clause is used to sort the result-set by a specified column.
 The ORDER BY clausesort the records in ascending order by default.
 If you want to sort the records in a descending order, you can use the DESC
keyword.
ORDER BY Syntax:
FROM table_name
ORDER BY column_name(s) ASC|DESC;
The GROUP BY Clause
The GROUP BY clause can be used to create groups of rows in a table. Group functions can
be applied on such groups.
GROUP BY Syntax;
FROM table_name
WHERE column_name operator value
GROUP BY column_name(s);
Group functions Meaning
AVG([DISTINCT|ALL],N]) Returns average value of n
COUNT(*|[DISTINCT|ALL]expr) Returns the number of rows in the query.
When you specify expr, this function
considers rows where expr is not null.
When you specify the asterisk (*), this function
Returns all rows, including duplicates and nulls.
You can count either all rows, or only distinct

values of expr.
MAX([DISTINCT|ALL]expr) Returns maximum value of expr
MIN([DISTINCT|ALL]expr) Returns minimum value of expr
SUM([DISTINCT|ALL]n) Returns sum of values of n
The HAVING clause
The HAVING clause can be used to restrict the display of grouped rows. The result of the
grouped query is passed on to the HAVING clause for output filtration.
HAVING Syntax;
FROM table_name
WHERE column_name operator value
GROUP BY column_name(s)
HAVING condition;
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_nameVALUES (value1, value2, value3,...);
OR
INSERT INTO table_nameVALUES(&column1, &column2, &column3,...);
 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,...);
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;
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;
1.2.3 Transaction Control language
Transaction Control Language (TCL) commands are used to manage transactions in
database.These are used to manage the changes made by DML statements. It also allows
statements to be grouped together into logical transactions
Commit command
Commit command is used to permanently save any transaaction into database.
Following is Commit command's syntax,
commit;
Rollback command
This command restores the database to last commited state. It is also use with savepoint
command to jump to a savepoint in a transaction.
Following is Rollback command's syntax
rollback to savepoint_name;
Savepoint command
savepoint command is used to temporarily save a transaction so that you can rollback to that
point whenever necessary.
Following is savepoint command's syntax,
savepoint savepoint_name;

1.2.4 Data Control Language
Data Control Language(DCL) is used to control privilege in Database. To perform any
operation in the database, such as for creating tables, sequences or views we need privileges.
Privileges are of two types,
 System : creating session, table etc are all types of system privilege.
 Object : any command or query to work on tables comes under object privilege.
DCL defines two commands,
 Grant : Gives user access privileges to database.
 Revoke : Take back permissions from user.
To Allow a User to create Session
grant create session to username;
To Allow a User to create Table
grant create table to username;
To provide User with some Space on Tablespace to store Table
alter user username quota unlimited on system;
To Grant all privilege to a User
grant sysdba to username
To Grant permission to Create any Table
grant create any table to username
1.3 STORED PROCEDURES in SQL:
The SQL Server Stored procedure is used to save time to write code again and again by
storing the same in database and also get the required output by passing parameters.

Syntax
Following is the basic syntax of Stored procedure creation.
Create procedure <procedure_Name>
As
Begin
<SQL Statement>
End
Go
Example
Consider the CUSTOMERS table having the following records.
ID NAME AGE ADDRESS SALARY
1 Ramesh 32 Ahmedabad 2000.00
2 Khilan 25 Delhi 1500.00
3 kaushik 23 Kota 2000.00
4 Chaitali 25 Mumbai 6500.00
5 Hardik 27 Bhopal 8500.00
6 Komal 22 MP 4500.00
7 Muffy 24 Indore 10000.00
Following command is an example which would fetch all records from the CUSTOMERS
table in Testdb database.
CREATE PROCEDURE SelectCustomerstabledata
AS
SELECT * FROM Testdb.Customers
GO
The above command will produce the following output.
ID NAME AGE ADDRESS SALARY

1 Ramesh 32 Ahmedabad 2000.00
2 Khilan 25 Delhi 1500.00
3 kaushik 23 Kota 2000.00
4 Chaitali 25 Mumbai 6500.00
5 Hardik 27 Bhopal 8500.00
6 Komal 22 MP 4500.00
7 Muffy 24 Indore 10000.00
1.4 SQL TRIGGERS
Triggers are stored programs, which are automatically executed or fired when some events
occur. Triggers are, in fact, written to be executed in response to any of the following events −
 A database manipulation (DML) statement (DELETE, INSERT, or UPDATE)
 A database definition (DDL) statement (CREATE, ALTER, or DROP).
 A database operation (SERVERERROR, LOGON, LOGOFF, STARTUP, or
SHUTDOWN).
Triggers can be defined on the table, view, schema, or database with which the event is
associated.
Benefits of Triggers:
Triggers can be written for the following purposes −
 Generating some derived column values automatically
 Enforcing referential integrity
 Event logging and storing information on table access
 Auditing
 Synchronous replication of tables
 Imposing security authorizations
 Preventing invalid transactions

CreatingTriggers
The syntax for creating a trigger is :
CREATE [OR REPLACE ] TRIGGER trigger_name
{BEFORE | AFTER | INSTEAD OF }
{INSERT [OR] | UPDATE [OR] | DELETE}
[OF col_name]
ON table_name
[REFERENCING OLD AS o NEW AS n]
[FOR EACH ROW]
WHEN (condition)
DECLARE
Declaration-statements
BEGIN
Executable-statements
EXCEPTION
Exception-handling-statements
END;
Where,
 CREATE [OR REPLACE] TRIGGER trigger_name − Creates or replaces an existing
trigger with the trigger_name.
 {BEFORE | AFTER | INSTEAD OF} − This specifies when the trigger will be
executed. The INSTEAD OF clause is used for creating trigger on a view.
 {INSERT [OR] | UPDATE [OR] | DELETE} − This specifies the DML operation.

 [OF col_name] − This specifies the column name that will be updated.
 [ON table_name] − This specifies the name of the table associated with the trigger.
 [REFERENCING OLD AS o NEW AS n] − This allows you to refer new and old
values for various DML statements, such as INSERT, UPDATE, and DELETE.
 [FOR EACH ROW] − This specifies a row-level trigger, i.e., the trigger will be
executed for each row being affected. Otherwise the trigger will execute just once
when the SQL statement is executed, which is called a table level trigger.
 WHEN (condition) − This provides a condition for rows for which the trigger would
fire. This clause is valid only for row-level triggers.
Example
To start with, we will be using the CUSTOMERS table we had created and used in the
previous chapters −
Select * from customers;
+----+----------+-----+-----------+----------+
| ID | NAME | AGE | ADDRESS | SALARY |
+----+----------+-----+-----------+----------+
| 1 | Ramesh | 32 | Ahmedabad | 2000.00 |
| 2 | Khilan | 25 | Delhi | 1500.00 |
| 3 | kaushik | 23 | Kota | 2000.00 |
| 4 | Chaitali | 25 | Mumbai | 6500.00 |
| 5 | Hardik | 27 | Bhopal | 8500.00 |
| 6 | Komal | 22 | MP | 4500.00 |
+----+----------+-----+-----------+----------+
The following program creates a row-level trigger for the customers table that would fire for
INSERT or UPDATE or DELETE operations performed on the CUSTOMERS table. This
trigger will display the salary difference between the old values and new values −

CREATE OR REPLACE TRIGGER display_salary_changes
BEFORE DELETE OR INSERT OR UPDATE ON customers
FOR EACH ROW
WHEN (NEW.ID > 0)
DECLARE
sal_diff number;
BEGIN
sal_diff := :NEW.salary - :OLD.salary;
dbms_output.put_line('Old salary: ' || :OLD.salary);
dbms_output.put_line('New salary: ' || :NEW.salary);
dbms_output.put_line('Salary difference: ' || sal_diff);
END;
/
When the above code is executed at the SQL prompt, it produces the following result −
Trigger created.
The following points need to be considered here −
 OLD and NEW references are not available for table-level triggers, rather you can use
them for record-level triggers.
 If you want to query the table in the same trigger, then you should use the AFTER
keyword, because triggers can query the table or change it again only after the initial
changes are applied and the table is back in a consistent state.
 The above trigger has been written in such a way that it will fire before any DELETE
or INSERT or UPDATE operation on the table, but you can write your trigger on a

single or multiple operations, for example BEFORE DELETE, which will fire
whenever a record will be deleted using the DELETE operation on the table.
TriggeringaTrigger
Let us perform some DML operations on the CUSTOMERS table. Here is one INSERT
statement, which will create a new record in the table −
INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)
VALUES (7, 'Kriti', 22, 'HP', 7500.00 );
When a record is created in the CUSTOMERS table, the above create
trigger, display_salary_changes will be fired and it will display the following result −
Old salary:
New salary: 7500
Salary difference:
Because this is a new record, old salary is not available and the above result comes as null.
Let us now perform one more DML operation on the CUSTOMERS table. The UPDATE
statement will update an existing record in the table −
UPDATE customers
SET salary = salary + 500
WHERE id = 2;
When a record is updated in the CUSTOMERS table, the above create
trigger, display_salary_changes will be fired and it will display the following result −
Old salary: 1500
New salary: 2000
Salary difference: 500

1.5 VIEWS IN SQL
 A view is a single virtual table that is derived from other tables. The other tables could
be base tables or previously defined view.
 Allows for limited update operations Since the table may not physically be stored
 Allows full query operations
 A convenience for expressing certain operations
 A view does not necessarily exist in physical form, which limits the possible update
operations that can be applied to views.

CHAPTER – 2
LIBRARY DATABASE
1) Consider the following schema for a Library Database:
BOOK (Book_id, Title, Publisher_Name, Pub_Year)
BOOK_AUTHORS (Book_id, Author_Name)
PUBLISHER (Name, Address, Phone)
BOOK_COPIES (Book_id, Branch_id, No-of_Copies)
BOOK_LENDING (Book_id, Branch_id, Card_No, Date_Out, Due_Date)
LIBRARY_BRANCH (Branch_id, Branch_Name, Address)
Write SQL queries to
1. Retrieve details of all books in the library – id, title, name of publisher, authors, number
of copies in each branch, etc.
2. Get the particulars of borrowers who have borrowed more than 3 books, but from Jan
2017 to Jun 2017
3. Delete a book in BOOK table. Update the contents of other tables to reflect this data
manipulation operation.
4. Partition the BOOK table based on year of publication. Demonstrate its working with a
simple query.
5. Create a view of all books and its number of copies that are currently available in the
Library.
ER-Diagram:

SCHEMA:

Table Creation:
PUBLISHER
SQL> CREATE TABLE PUBLISHER(
NAME VARCHAR(18) PRIMARY KEY,
ADDRESS VARCHAR(10),
PHONE VARCHAR(10));
Table created.
BOOK
SQL> CREATE TABLE BOOK(
BOOK_ID INTEGER PRIMARY KEY,
TITLE VARCHAR(20),
PUBLISHER_NAME VARCHAR(20)REFERENCES PUBLISHER(NAME)ON DELETE
CASADE,
PUB_YEAR NUMBER(4));
Table created.
BOOK_AUTHORS
SQL> CREATE TABLE BOOK_AUTHORS(
BOOK_ID INTEGER REFERENCES BOOK(BOOK_ID) ON DELETE CASCADE,
AUTHOR_NAME VARCHAR(20),
PRIMARY KEY(BOOK_ID));
Table created.
LIBRARY_BRANCH
SQL> CREATE TABLE LIBRARY_BRANCH(
BRANCH_ID INTEGER PRIMARY KEY,
BRANCH_NAME VARCHAR(18),
ADDRESS VARCHAR(15));
Table created.
BOOK_COPIES
SQL> CREATE TABLE BOOK_COPIES(
BRANCH_ID INTEGER REFERENCES LIBRARY_BRANCH(BRANCH_ID) ON DELETE
CASCADE,
NO_OF_COPIES INTEGER,
PRIMARY KEY(BOOK_ID,BRANCH_ID));
Table created.

BOOK_LENDING
SQL> CREATE TABLE BOOK_LENDING(
BRANCH_ID INTEGER REFERENCES LIBRARY_BRANCH(BRANCH_ID) ON DELETE
CASCADE,
CARD_NO INTEGER,
DATE_OUT DATE,
DUE_DATE DATE,
PRIMARY KEY(BOOK_ID,BRANCH_ID,CARD_NO));
Table created.
Values for tables:
PUBLISHER
SQL>INSERT INTO PUBLISHER VALUES('PEARSON','BANGALORE','9875462530');
SQL> INSERT INTO PUBLISHER VALUES('MCGRAW','NEWDELHI','7845691234');
SQL> INSERT INTO PUBLISHER VALUES('SAPNA','BANGALORE','7845963210');
BOOK
SQL> INSERT INTO BOOK VALUES(1111,'SE','PEARSON',2005);
SQL> INSERT INTO BOOK VALUES(2222,'DBMS','MCGRAW',2004);
SQL> INSERT INTO BOOK VALUES(3333,'ANOTOMY','PEARSON',2010);
SQL> INSERT INTO BOOK VALUES(4444,'ENCYCLOPEDIA','SAPNA',2010);
BOOK_AUTHORS
SQL> INSERT INTO BOOK_AUTHORS VALUES(1111,'SOMMERVILLE');
SQL> INSERT INTO BOOK_AUTHORS VALUES(2222,'NAVATHE');
SQL> INSERT INTO BOOK_AUTHORS VALUES(3333,'HENRY GRAY');
SQL> INSERT INTO BOOK_AUTHORS VALUES(4444,'THOMAS');

LIBRARY_BRANCH
SQL> INSERT INTO LIBRARY_BRANCH VALUES(11,'CENTRAL TECHNICAL','MG ROAD');
SQL> INSERT INTO LIBRARY_BRANCH VALUES(22,'MEDICAL','BH ROAD');
SQL> INSERT INTO LIBRARY_BRANCH VALUES(33,'CHILDREN','SS PURAM');
SQL> INSERT INTO LIBRARY_BRANCH VALUES(44,'SECRETARIAT','SIRAGATE');
SQL> INSERT INTO LIBRARY_BRANCH VALUES(55,'GENERAL','JAYANAGAR');
BOOK_COPIES
SQL> INSERT INTO BOOK_COPIES VALUES(1111,11,5);
BOOK_LENDING
SQL> INSERT INTO BOOK_LENDING VALUES(2222,11,1,'10-JAN-2017','20-AUG-2017');
SQL> INSERT INTO BOOK_LENDING VALUES(3333,22,2,'09-JUL-2017','12-AUG-2017');
SQL> INSERT INTO BOOK_LENDING VALUES(4444,55,1,'11-APR-2017','09-AUG-2017');
SQL> INSERT INTO BOOK_LENDING VALUES(2222,11,5,'09-AUG-2017','19-AUG-2017');
SQL> INSERT INTO BOOK_LENDING VALUES(4444,33,1,'10-JUN-2017','15-AUG-2017');
SQL> INSERT INTO BOOK_LENDING VALUES(1111,11,1,'12-MAY-2017','10-JUN-2017');
SQL> INSERT INTO BOOK_LENDING VALUES(3333,22,1,'10-JUL-2017','15-JUL-2017');
SQL> SELECT * FROM BOOK;
BOOK_ID TITLE PUBLISHER_NAME PUB_YEAR
---------- ----------------- ---------------- --------
1111 SE PEARSON 2005
2222 DBMS MCGRAW 2004
3333 ANOTOMY PEARSON 2010
4444 ENCYCLOPEDIA SAPNA 2010
4 rows selected.

SQL> SELECT * FROM BOOK_AUTHORS;
BOOK_ID AUTHOR_NAME
------- ------------
1111 SOMMERVILLE
2222 NAVATHE
3333 HENRY GRAY
4444 THOMAS
4 rows selected.
SQL> SELECT * FROM PUBLISHER;
NAME ADDRESS PHONE
--------------- --------------- ----------
PEARSON BANGALORE 9875462530
MCGRAW NEWDELHI 7845691234
SAPNA BANGALORE 7845963210
3 rows selected.
SQL> SELECT * FROM BOOK_COPIES;
BOOK_ID BRANCH_ID NO_OF_COPIES
------- --------- ------------
1111 11 5
3333 22 6
4444 33 10
2222 11 12
4444 55 3
5 rows selected.
SQL> SELECT * FROM BOOK_LENDING;
BOOK_ID BRANCH_ID CARD_NO DATE_OUT DUE_DATE
------- --------- -------- --------- ---------
2222 11 1 10-JAN-17 20-AUG-17
3333 22 2 09-JUL-17 12-AUG-17
4444 55 1 11-APR-17 09-AUG-17
2222 11 5 09-AUG-17 19-AUG-17
4444 33 1 10-JUL-17 15-AUG-17
1111 11 1 12-MAY-17 10-JUN-17
3333 22 1 10-JUL-17 15-JUL-17
7 rows selected.

SQL> SELECT * FROM LIBRARY_BRANCH;
BRANCH_ID BRANCH_NAME ADDRESS
--------- ------------------- ----------
11 CENTRAL TECHNICAL MG ROAD
22 MEDICAL BH ROAD
33 CHILDREN SS PURAM
44 SECRETARIAT SIRAGATE
55 GENERAL JAYANAGAR
5 rows selected.
Queries:
1) Retrieve details of all books in the library – id, title, name of publisher, authors, number of
copies in each branch, etc.
SELECT LB.BRANCH_NAME, B.BOOK_ID,TITLE, PUBLISHER_NAME,AUTHOR_NAME,
NO_OF_COPIES
FROM BOOK B, BOOK_AUTHORS BA, BOOK_COPIES BC, LIBRARY_BRANCH LB
WHERE B.BOOK_ID = BA.BOOK_ID AND
BA.BOOK_ID = BC.BOOK_ID AND
BC.BRANCH_ID = LB.BRANCH_ID
GROUP BY LB.BRANCH_NAME, B.BOOK_ID, TITLE, PUBLISHER_NAME,
AUTHOR_NAME, NO_OF_COPIES;
BRANCH_NAME BOOK_ID TITLE PUBLISHER_NAME AUTHOR_NAME NO_OF_COPIES
---------------- ------- ------------ ---------------- ------------- ------------
GENERAL 4444 ENCYCLOPEDIA SAPNA THOMAS 3
MEDICAL 3333 ANOTOMY PEARSON HENRY GRAY 6
CHILDREN 4444 ENCYCLOPEDIA SAPNA THOMAS 10
CENTRAL TECHNICAL 1111 SE PEARSON SOMMERVILLE 5
CENTRAL TECHNICAL 2222 DBMS MCGRAW NAVATHE 12
2) Get the particulars of borrowers who have borrowed more than 3 books, but from Jan 2017
to Jun 2017.
SELECT CARD_NO
FROM BOOK_LENDING
WHERE DATE_OUT BETWEEN '01-JAN-2017' AND '30-JUN-2017'
GROUP BY CARD_NO
HAVING COUNT(*) > 3;
CARD_NO
-------
1

3) Delete a book in BOOK table. Update the contents of other tables to reflect this data
manipulation operation.
DELETE FROM BOOK
WHERE BOOK_ID = '3333';
1 row deleted.
SQL> SELECT * FROM BOOK;
--------- -------------------- -------------------- --------
SQL> SELECT * FROM BOOK_COPIES;
BOOK_ID BRANCH_ID NO_OF_COPIES
------- --------- ------------
1111 11 5
4444 33 10
2222 11 12
4444 55 3
SQL> SELECT * FROM BOOK_LENDING;
BOOK_ID BRANCH_ID CARD_NO DATE_OUT DUE_DATE
------- --------- --------- --------- ---------
2222 11 1 10-JAN-17 20-AUG-17
4444 55 1 11-APR-17 09-AUG-17
2222 11 5 09-AUG-17 19-AUG-17
4444 33 1 10-JUN-17 15-AUG-17
1111 11 1 12-MAY-17 10-JUN-17
4) Partition the BOOK table based on year of publication. Demonstrate its working with a
simple query.
SELECT BOOK_ID, TITLE, PUBLISHER_NAME, PUB_YEAR
FROM BOOK
GROUP BY PUB_YEAR, BOOK_ID, TITLE, PUBLISHER_NAME;
------- -------------------- -------------------- --------
3333 ANOTOMY PEARSON 2010

5) Create a view of all books and its number of copies that are currently available in the
Library.
CREATE VIEW BOOKS_AVAILABLE AS
SELECT B.BOOK_ID, B.TITLE, C.NO_OF_COPIES
FROM LIBRARY_BRANCH L, BOOK B, BOOK_COPIES C
WHERE B.BOOK_ID = C.BOOK_ID AND
L.BRANCH_ID=C.BRANCH_ID;
View created.
SQL> SELECT * FROM BOOKS_AVAILABLE;
BOOK_ID TITLE NO_OF_COPIES
------- -------------------- ------------
1111 SE 5
3333 ANOTOMY 6
4444 ENCYCLOPEDIA 10
2222 DBMS 12
4444 ENCYCLOPEDIA 3

DATE: SIGNATURE

CHAPTER – 3
ORDER DATABASE
2) Consider the following schema for Order Database:
SALESMAN (Salesman_id, Name, City, Commission)
CUSTOMER (Customer_id, Cust_Name, City, Grade, Salesman_id)
ORDERS (Ord_No, Purchase_Amt, Ord_Date, Customer_id, Salesman_id)
1. Count the customers with grades above Bangalore’s average.
2. Find the name and numbers of all salesmen who had more than one customer.
3. List all salesmen and indicate those who have and don’t have customers in their cities
(Use UNION operation.)
4. Create a view that finds the salesman who has the customer with the highest order of a
day.
5. Demonstrate the DELETE operation by removing salesman with id 1000. All his orders
must also be deleted.
ER-Diagram:

SCHEMA:

Table Creation:
SALESMAN
CREATE TABLE SALESMAN(
SALESMAN_ID NUMBER(5) CONSTRAINT SALESMAN_SALID PRIMARY KEY,
NAME VARCHAR(10) CONSTRAINT SALESMAN_NAME_NN NOT NULL,
CITY VARCHAR(15) CONSTRAINT SALESMAN_CITY_NN NOT NULL,
COMMISSION NUMBER(5));
Table created.
CUSTOMER
CREATE TABLE CUSTOMER(
CUSTOMER_ID NUMBER(5) CONSTRAINT CUSTOMER_CUSTID_PK PRIMARY KEY,
CUST_NAME VARCHAR(10) CONSTRAINT CUSTOMER_CUSTNAME_NN NOT NULL,
CITY VARCHAR(10) CONSTRAINT CUSTOMER_CITY_NN NOT NULL,
GRADE NUMBER(5) CONSTRAINT CUSTOMER_GRADE_NN NOT NULL,
SALESMAN_ID NUMBER(5) CONSTRAINT CUSTOMER_SALEID_FK REFERENCES
SALESMAN(SALESMAN_ID) ON DELETE SET NULL);
Table created.
ORDERS
CREATE TABLE ORDERS(
ORD_NO NUMBER(5) CONSTRAINT ORDERS_ODNO_PK PRIMARY KEY,
PURCHASE_AMT INTEGER CONSTRAINT ORDERS_PAMT_NN NOT NULL,
ORD_DATE DATE CONSTRAINT ORDERS_ODATE_NN NOT NULL,
CUSTOMER_ID NUMBER(5) CONSTRAINT ORDERS_CUSTID_FK REFERENCES
CUSTOMER(CUSTOMER_ID),
SALESMAN_ID NUMBER(5) CONSTRAINT ORDERS_SALEID_FK REFERENCES
SALESMAN(SALESMAN_ID) ON DELETE CASCADE);
Table created.
Values for tables
SQL> INSERT INTO SALESMAN VALUES(&SALESMAN_ID,'&NAME','&CITY',&COMMISSION);
SQL> INSERT INTO CUSTOMER
VALUES(&CUSTOMER_ID,'&CUST_NAME','&CITY','&GRADE',&SALESMAN_ID);
SQL> INSERT INTO ORDERS
VALUES(&ORD_NO,&PURCHASE_AMT,'&ORD_DATE',&CUSTOMER_ID,&SALESMAN_ID);

SELECT * FROM SALESMAN;
SALESMAN_ID NAME CITY COMMISSION
----------- ---------- --------------- ----------
1000 RAJ BENGALURU 50
2000 ASHWIN TUMKUR 30
3000 BINDU MUMBAI 40
4000 LAVANYA BENGALURU 40
5000 ROHIT MYSORE 60
SELECT * FROM CUSTOMER;
CUSTOMER_ID CUST_NAME CITY GRADE SALESMAN_ID
----------- ---------- ---------- --------- -----------
11 INFOSYS BENGALURU 5 1000
22 TCS BENGALURU 4 2000
33 WIPRO MYSORE 7 1000
44 TCS MYSORE 6 2000
55 ORACLE TUMKUR 3 3000
SELECT * FROM ORDERS;
ORD_NO PURCHASE_AMT ORD_DATE CUSTOMER_ID SALESMAN_ID
--------- ------------ --------- ----------- -----------
1 200000 12-APR-16 11 1000
2 300000 12-APR-16 11 2000
3 400000 15-APR-17 22 1000
1. Count the customers with grades above Bangalore’s average.
SELECT COUNT(CUSTOMER_ID)
FROM CUSTOMER
WHERE GRADE>(SELECT AVG(GRADE)
FROM CUSTOMER
WHERE CITY LIKE '%BENGALURU');
COUNT(CUSTOMER_ID)
------------------
3

2. Find the name and numbers of all salesmen who had more than one customer.
SELECT NAME, COUNT(CUSTOMER_ID)
FROM SALESMAN S, CUSTOMER C
WHERE S.SALESMAN_ID=C.SALESMAN_ID
GROUP BY NAME
HAVING COUNT(CUSTOMER_ID)>1;
NAME COUNT(CUSTOMER_ID)
---------- ------------------
ASHWIN 2
RAJ 2
3. List all salesmen and indicate those who have and don’t have customers in their cities
(Use UNION operation.)
(SELECT NAME
FROM SALESMAN S, CUSTOMER C
WHERE S.SALESMAN_ID=C.SALESMAN_ID AND
S.CITY=C.CITY)
UNION
(SELECT NAME
FROM SALESMAN
WHERE SALESMAN_ID NOT IN(SELECT S1.SALESMAN_ID
FROM SALESMAN S1, CUSTOMER C1
WHERE S1.SALESMAN_ID=C1.SALESMAN_ID AND
S1.CITY=C1.CITY));
NAME
----------
ASHWIN
BINDU
LAVANYA
RAJ
ROHIT
4. Create a view that finds the salesman who has the customer with the highest order of a
day.
CREATE VIEW SALES_HIGHERODER AS
SELECT SALESMAN_ID, PURCHASE_AMT
FROM ORDERS
WHERE PURCHASE_AMT=(SELECT MAX(O.PURCHASE_AMT)
FROM ORDERS O
WHERE O.ORD_DATE='12-APR-16');
View created.
SELECT * FROM SALES_HIGHERODER;
SALESMAN_ID PURCHASE_AMT
----------- ------------
2000 300000

5. Demonstrate the DELETE operation by removing salesman with id 1000. All his orders
must also be deleted.
DELETE from salesman
WHERE salesman_id = 1000;
1 row deleted.
SELECT * FROM SALESMAN;
SALESMAN_ID NAME CITY COMMISSION
----------- ---------- --------------- ----------
2000 ASHWIN TUMKUR 30
3000 BINDU MUMBAI 40
4000 LAVANYA BENGALURU 40
5000 ROHIT MYSORE 60
SELECT * FROM CUSTOMER;
CUSTOMER_ID CUST_NAME CITY GRADE SALESMAN_ID
----------- ---------- ---------- --------- -----------
11 INFOSYS BENGALURU 5
22 TCS BENGALURU 4 2000
33 WIPRO MYSORE 7
44 TCS MYSORE 6 2000
55 ORACLE TUMKUR 3 3000
SELECT * FROM ORDERS;
ORD_NO PURCHASE_AMT ORD_DATE CUSTOMER_ID SALESMAN_ID
--------- ------------ --------- ----------- -----------
2 300000 12-APR-16 11 2000

DATE: SIGNATURE

CHAPTER – 4
MOVIE DATABASE
3) Consider the schema for Movie Database:
ACTOR (Act_id, Act_Name, Act_Gender)
DIRECTOR (Dir_id, Dir_Name, Dir_Phone)
MOVIES (Mov_id, Mov_Title, Mov_Year, Mov_Lang, Dir_id)
MOVIE_CAST (Act_id, Mov_id, Role)
RATING (Mov_id, Rev_Stars)
1. List the titles of all movies directed by ‘Hitchcock’.
2. Find the movie names where one or more actors acted in two or more movies.
3. List all actors who acted in a movie before 2000 and also in a movie after
2015 (use JOIN operation).
4. Find the title of movies and number of stars for each movie that has at least one
rating and find the highest number of stars that movie received. Sort the result by
movie title.
5. Update rating of all movies directed by ‘Steven Spielberg’ to 5.
ER-Diagram:

SCHEMA:

Table Creation:
ACTOR
CREATE TABLE ACTOR(
ACT_ID NUMBER(5) CONSTRAINT ACTOR_ACTID_PK PRIMARY KEY,
ACT_NAME VARCHAR(18) CONSTRAINT ACTOR_ACTNAME_NN NOT NULL,
ACT_GENDER VARCHAR(2) CONSTRAINT ACTOR_ACTGENDER_NN NOT NULL);
Table created.
DIRECTOR
CREATE TABLE DIRECTOR(
DIR_ID NUMBER(5) CONSTRAINT DIRECTOR_DIRID_PK PRIMARY KEY,
DIR_NAME VARCHAR(18) CONSTRAINT DIRECTOR_DIRNAME_NN NOT NULL,
DIR_PHONE VARCHAR(10) CONSTRAINT DIRECTOR_DIRPHONE_NN NOT NULL);
Table created.
MOVIES
CREATE TABLE MOVIES(
MOV_ID NUMBER(5) CONSTRAINT MOVIES_MOVID_PK PRIMARY KEY,
MOV_TITLE VARCHAR(10) CONSTRAINT MOVIES_MOVTITLE_NN NOT NULL,
MOV_YEAR NUMBER(5) CONSTRAINT MOVIES_MOVYEAR_NN NOT NULL,
MOV_LANG VARCHAR(10) CONSTRAINT MOVIES_MOVLANG_NN NOT NULL,
DIR_ID NUMBER(5) CONSTRAINT MOVIES_DIRID_FK REFERENCES DIRECTOR(DIR_ID));
Table created.
MOVIE_CAST
CREATE TABLE MOVIE_CAST(
ACT_ID NUMBER(5) CONSTRAINT MOVIECAST_ACTID_FK REFERENCES ACTOR(ACT_ID),
MOV_ID NUMBER(5) CONSTRAINT MOVIECAST_MOVID_FK REFERENCES MOVIES(MOV_ID),
ROLE VARCHAR(10),
CONSTRAINT MOVIECAST_ACTID_MOVID_PK PRIMARY KEY(ACT_ID,MOV_ID));
Table created.
RATING
CREATE TABLE RATING(
MOV_ID NUMBER(5) CONSTRAINT RATING_MOVID_FK REFERENCES MOVIES(MOV_ID),
REV_STARS NUMBER(1) CONSTRAINT RATING_REVSTARS_NN NOT NULL,
CONSTRAINT RATING_MOVID_PK PRIMARY KEY(MOV_ID))
Table created.

Description of Schema:
SQL> DESC ACTOR
Name Null? Type
------------------------------- -------- ----
ACT_ID NOT NULL NUMBER(5)
ACT_NAME NOT NULL VARCHAR2(18)
ACT_GENDER NOT NULL VARCHAR2(2)
SQL> DESC DIRECTOR
Name Null? Type
------------------------------- -------- ----
DIR_ID NOT NULL NUMBER(5)
DIR_NAME NOT NULL VARCHAR2(18)
DIR_PHONE NOT NULL VARCHAR(10)
SQL> DESC MOVIES
Name Null? Type
------------------------------- -------- ----
MOV_ID NOT NULL NUMBER(5)
MOV_TITLE NOT NULL VARCHAR2(10)
MOV_YEAR NOT NULL NUMBER(5)
MOV_LANG NOT NULL VARCHAR2(10)
DIR_ID NUMBER(5)
SQL> DESC RATING
Name Null? Type
------------------------------- -------- ----
MOV_ID NOT NULL NUMBER(5)
REV_STARS NOT NULL NUMBER(1)
Values for tables:
SQL> INSERT INTO ACTOR VALUES(&ACT_ID,'&ACT_NAME','&ACT_GENDER');
SQL> INSERT INTO DIRECTOR VALUES(&DIR_ID,'&DIR_NAME',&DIR_PHONE);
SQL> INSERT INTO MOVIES
VALUES(&MOV_ID,'&MOV_TITLE','&MOV_YEAR','&MOV_LANG',&DIR_ID);
SQL> INSERT INTO MOVIE_CAST VALUES(&ACT_ID,&MOV_ID,'&ROLE');
SQL> INSERT INTO RATING VALUES(&MOV_ID,&REV_STARS);

SQL> SELECT * FROM ACTOR;
ACT_ID ACT_NAME AC
--------- --------------- --
111 DEEPA SANNIDHI F
222 SUDEEP M
333 PUNEETH M
444 DHIGANTH M
555 ANGELA F
SQL> SELECT * FROM DIRECTOR;
DIR_ID DIR_NAME DIR_PHONE
--------- ------------------ ---------
101 HITCHCOCK 112267809
102 RAJ MOULI 152358709
103 YOGARAJ 272337808
104 STEVEN SPIELBERG 363445678
105 PAVAN KUMAR 385456809
SQL> SELECT * FROM MOVIES;
MOV_ID MOV_TITLE MOV_YEAR MOV_LANG DIR_ID
--------- ----------- -------- ---------- ---------
1111 LASTWORLD 2009 ENGLISH 104
2222 EEGA 2010 TELUGU 102
4444 PARAMATHMA 2012 KANNADA 103
3333 MALE 2006 KANNADA 103
5555 MANASARE 2010 KANNADA 103
6666 REAR WINDOW 1954 ENGLISH 101
7777 NOTORIOUS 1946 ENGLISH 101
SQL> SELECT * FROM MOVIE_CAST;
ACT_ID MOV_ID ROLE
--------- --------- ----------
222 2222 VILAN
333 4444 HERO
111 4444 HEROIN
444 3333 GUEST
444 5555 HERO
555 7777 MOTHER
SQL> SELECT * FROM RATING;
MOV_ID REV_STARS
--------- ---------
1111 3
2222 4
3333 3
5555 4
4444 5

1. List the titles of all movies directed by ‘Hitchcock’.
SELECT MOV_TITLE
FROM MOVIES M, DIRECTOR D
WHERE D.DIR_ID=M.DIR_ID AND
DIR_NAME='HITCHCOCK';
MOV_TITLE
----------
NOTORIOUS
REAR WINDOW
2. Find the movie names where one or more actors acted in two or more movies.
SELECT MOV_TITLE
FROM MOVIES M, MOVIE_CAST MC
WHERE M.MOV_ID=MC.MOV_ID AND
MC.ACT_ID IN (SELECT ACT_ID
FROM MOVIE_CAST
GROUP BY ACT_ID
HAVING COUNT(MOV_ID)>=2);
MOV_TITLE
----------
MALE
MANASARE
3. List all actors who acted in a movie before 2000 and also in a movie after
2015 (use JOIN operation).
(SELECT ACT_NAME
FROM ACTOR A
JOIN MOVIE_CAST C
ON
A.ACT_ID=C.ACT_ID
JOIN MOVIES M4.
ON C.MOV_ID=M.MOV_ID
WHERE M.MOV_YEAR < 2000)
INTERSECT
(SELECT ACT_NAME
FROM ACTOR A JOIN
MOVIE_CAST C
ON A.ACT_ID=C.ACT_ID JOIN
MOVIES M
ON C.MOV_ID=M.MOV_ID
WHERE M.MOV_YEAR > 2015);
ACT_NAME
---------------
DHIGANTH

4. Find the title of movies and number of stars for each movie that has at least one
rating and find the highest number of stars that movie received. Sort the result by
movie title.
SELECT MOV_TITLE, REV_STARS
FROM MOVIES M, RATING R
WHERE M.MOV_ID=R.MOV_ID AND
REV_STARS>=1 ORDER BY MOV_TITLE
MOV_TITLE REV_STARS
---------- ---------
EEGA 4
LASTWORLD 3
MALE 3
MANASARE 4
PARAMATHMA 5
5. Update rating of all movies directed by ‘Steven Spielberg’ to 5.
UPDATE RATING
SET REV_STARS=5
WHERE MOV_ID IN (SELECT MOV_ID
FROM MOVIES M, DIRECTOR D
WHERE M.DIR_ID=D.DIR_ID AND
DIR_NAME='STEVEN SPIELBERG');
1 row updated.
SELECT * FROM RATING
MOV_ID REV_STARS
------ ---------
1111 5
2222 4
3333 3
5555 4
4444 5

DATE: SIGNATURE

CHAPTER - 5
COLLEGE DATABASE
4). Consider the schema for College Database:
STUDENT (USN, SName, Address, Phone, Gender)
SEMSEC (SSID, Sem, Sec)
CLASS (USN, SSID)
SUBJECT (Subcode, Title, Sem, Credits)
IAMARKS (USN, Subcode, SSID, Test1, Test2, Test3, FinalIA)
1. List all the student details studying in fourth semester ‘C’ section.
2. Compute the total number of male and female students in each semester and in each
section.
3. Create a view of Test1 marks of student USN ‘1BI15CS101’ in all subjects.
4. Calculate the FinalIA (average of best two test marks) and update the
corresponding table for all students.
5. Categorize students based on the following criterion:
If FinalIA = 17 to 20 then CAT = ‘Outstanding’
If FinalIA = 12 to 16 then CAT = ‘Average’
If FinalIA< 12 then CAT = ‘Weak’
Give these details only for 8th semester A, B, and C section students.
ER-Diagram:

SCHEMA:

Table Creation:
STUDENT
CREATE TABLE STUDENT
(USN VARCHAR(10) PRIMARY KEY,
SNAME VARCHAR(25),
PHONE VARCHAR(10),
GENDER CHAR(1));
Table created.
SEMSEC
CREATE TABLE SEMSEC
SSID VARCHAR(5) PRIMARY KEY,
SEM NUMBER(2),
SEC CHAR(1));
Table created.
CLASS
CREATE TABLE CLASS
(USN VARCHAR(10),
SSID VARCHAR(5), PRIMARY
KEY(USN,SSID),
FOREIGN KEY(USN) REFERENCES STUDENT(USN),
FOREIGN KEY(SSID) REFERENCES SEMSEC(SSID));
Table created.
SUBJECT
CREATE TABLE SUBJECT
(SUBCODE VARCHAR(8) PRIMARY KEY,
TITLE VARCHAR(20),
SEM NUMBER(2), CREDITS
NUMBER(2));
Table created.
IAMARKS
CREATE TABLE IAMARKS
(USN VARCHAR(10),
SUBCODE VARCHAR(8),
SSID VARCHAR(5), TEST1
NUMBER(2), TEST2
NUMBER(2),

TEST3 NUMBER(2),
FINALIA NUMBER(3),
PRIMARY KEY(USN,SUBCODE,SSID),
FOREIGN KEY(USN) REFERENCES STUDENT(USN),
FOREIGN KEY(SUBCODE) REFERENCES SUBJECT(SUBCODE),
FOREIGN KEY(SSID) REFERENCES SEMSEC(SSID));
Table created.
Values for tables:
STUDENT:
INSERT INTO STUDENT VALUES
('&USN','&sname','&address',’&phone’,'&gender');
select * from student;
USN SNAME ADDRESS PHONE G
---------- ------------------------- ------------------------- ----
1cg15cs001 Abhi tumkur 9875698410 M
1cg15cs002 amulya gubbi 8896557412 F
1cg16me063 chethan nittur 7894759522 M
1cg14ec055 raghavi sspuram 9485675521 F
1cg15ee065 sanjay bangalore 9538444404 M
SEMSEC:
INSERT INTO SEMSEC VALUES ('&SSID', ‘&sem’,'&sec');
select * from semsec;
SSID SEM S
----- --------- -
5A 5 A
3B 3 B
7A 7 A
2C 2 C
4B 4 B
4c 4 c
CLASS:
INSERT INTO CLASS VALUES (‘&USN’,’&SSID’);
select * from class;
USN SSID
---------- -----
1cg15cs001 5A

1cg15cs002 5A
1cg16me063 3B
1cg14ec055 7A
1cg15ee065 3B
1cg15ee065 4c
1cg15cs002 4c
SUBJECT:
INSERT INTO SUBJECT VALUES ('10CS81','ACA', 8, 4);
select * from subject;
SUBCODE TITLE SEM CREDITS
-------- -------------------- --------- ---------
15cs53 dbms 5 4
15cs33 ds 3 4
15cs34 co 3 4
15csl58 dba 52
10cs71 oomd 7 4
IAMARKS:
INSERT INTO IAMARKS VALUES
(‘&USN’,‘&SUBCODE’,’&SSID’,’&TEST1’,’&TEST2’,’&TEST3’);
select * from iamarks;
USN SUBCODE SSID TEST1 TEST2 TEST3 FINALIA
---------- -------- ----- --------- --------- --------- ---------
1cg15cs001 15cs53 5A 18 19 15 19
1cg15cs002 15cs53 5A 15 16 14 16
1cg16me063 15cs33 3B 10 15 16 16
1cg14ec055 10cs71 7A 18 20 21 21
1cg15ee065 15cs33 3B 16 20 17 19
1cg15ee065 15cs53 4c 19 20 18 20
Queries:
1. List all the student details studying in fourth semester ‘C’ section.
select
s.usn,sname,address,phone,gender from
student s, class c, semsec ss where
sem=4 and
sec='c' and
ss.ssid=c.ssid and
c.usn=s.usn;

USN SNAME ADDRESS PHONE G
---------- -------------- ---------------- ------------ -----
1cg15ee065 Sanjay bangalore 9538444404 M
1cg15cs002 Amulya gubbi 8896557412 F
2. Compute the total number of male and female students in each semester and in each
section.
SELECT SEM,SEC,GENDER,COUNT(*)
FROM STUDENT S, SEMSEC SS,CLASS C
WHERE S.USN=C.USN AND
C.SSID=SS.SSID
GROUP BY SEM,SEC,GENDER
ORDER BY SEM;
SEM S G COUNT(*)
---- - - ---------
3 B M 2
4 c F 1
4 c M 1
5 A F 1
5 A M 1
7 A F 1
3. Create a view of Test1 marks of student USN ‘1BI15CS101’ in all subjects.
CREATE VIEW TEST1 AS
SELECT SUBCODE,TEST1
FROM IAMARKS
WHERE USN='1cg15ee065';
View created.
SQL> select * from test1;
SUBCODE TEST1
-------- ---------
15cs33 16
15cs53 19
4. Calculate the FinalIA (average of best two test marks) and update the corresponding table
for all students.
CREATE OR REPLACE PROCEDURE AVG
IS
CURSOR C_IAMARKS IS
SELECT GREATEST(TEST1,TEST2) AS A,GREATEST(TEST1,TEST3) AS B,
GREATEST(TEST3,TEST2) AS C
FROM IAMARKS
WHERE FINALIA IS NULL

FOR UPDATE;
C_A NUMBER;
C_B NUMBER;
C_C NUMBER;
C_SM NUMBER;
C_AV NUMBER;
BEGIN
OPEN C_IAMARKS;
LOOP
FETCH C_IAMARKS INTO C_A,C_B,C_C;
EXIT WHEN C_IAMARKS%NOTFOUND;
DBMS_OUTPUT.PUT_LINE(C_A||' '||C_B||' '||C_C);
IF(C_A!=C_B) THEN
C_SM:=C_A+C_B;
ELSE
C_SM:=C_A+C_C;
END IF;
C_AV:=C_SM/2;
DBMS_OUTPUT.PUT_LINE('SUM='||C_SM);
DBMS_OUTPUT.PUT_LINE('AVERAGE='||C_AV);
UPDATE IAMARKS
SET FINALIA=C_AV
WHERE CURRENT OF C_IAMARKS;
END LOOP;
CLOSE C_IAMARKS;
END AVG;
Procedure created.
SQL> BEGIN
2 AVG;
3 END;
PL/SQL procedure successfully completed.
SQL> SELECT * FROM IAMARKS;
USN SUBCODE SSID TEST1 TEST2 TEST3 FINALIA
---------- -------- ----- --------- --------- --------- -----
1cg15cs001 15cs53 5A 18 19 15 19
1cg15cs002 15cs53 5A 15 16 14 16
1cg16me063 15cs33 3B 10 15 16 16
1cg14ec055 10cs71 7A 18 20 21 21
1cg15ee065 15cs33 3B 16 20 17 19
1cg15ee065 15cs53 4c 19 20 18 20
6 rows selected.

5. Categorize students based on the following criterion:
If FinalIA = 17 to 20 then CAT = ‘Outstanding’ If
FinalIA = 12 to 16 then CAT = ‘Average’
If FinalIA< 12 then CAT = ‘Weak’
Give these details only for 8th semester A, B, and C section students.
SELECT S.USN,S.SNAME,S.ADDRESS,S.PHONE,S.GENDER,
CASE WHEN IA.FINALIA BETWEEN 17 AND 20 THEN 'OUTSTANDING'
WHEN IA.FINALIA BETWEEN 12 AND 16 THEN 'AVERAGE'
ELSE 'WEAK'
END AS CAT
FROM STUDENT S,SEMSEC SS,IAMARKS IA,SUBJECT SUB
WHERE S.USN=IA.USN AND
SS.SSID=IA.SSID AND
SUB.SUBCODE=IA.SUBCODE AND
SUB.SEM=7
USN SNAME ADDRESS PHONE G CAT
---------- ----------- ------------ ---------- - -----
1cg14ec055 raghavi sspuram 9485675521 F WEAK

DATE: SIGNATURE

CHAPTER – 6
COMPANY DATABASE
5). Consider the schema for Company Database:
EMPLOYEE (SSN, Name, Address, Sex, Salary, SuperSSN,DNo)
DEPARTMENT (DNo, DName, MgrSSN, MgrStartDate)
DLOCATION (DNo,DLoc)
PROJECT (PNo, PName, PLocation,
DNo) WORKS_ON (SSN, PNo, Hours)
1. Make a list of all project numbers for projects that involve an employee whose last
name is ‘Scott’, either as a worker or as a manager of the department that controls the
project.
2. Show the resulting salaries if every employee working on the ‘IoT’ project is
given a 10 percent raise.
3. Find the sum of the salaries of all employees of the ‘Accounts’ department, as
well as the maximum salary, the minimum salary, and the average salary in this
department
4. Retrieve the name of each employee who works on all the projects controlled by
department number 5 (use NOT EXISTS operator).
5. For each department that has more than five employees, retrieve the department
number and the number of its employees who are making more than Rs. 6,00,000.
ER-Diagram:

SCHEMA:

Table Creation:
DEPARTMENT
CREATE TABLE DEPARTMENT(
DNO NUMBER(3) CONSTRAINT DEPT_DNO_PK PRIMARY KEY, DNAME
VARCHAR(15) CONSTRAINT DEPT_DNAME_NN NOT NULL, MGRSSN
CHAR(10),
MGRSTARTDATE DATE);
EMPLOYEE
CREATE TABLE EMPLOYEE(
SSN CHAR(10) CONSTRAINT EMP_SSN_PK PRIMARY KEY,
NAME VARCHAR(18) CONSTRAINT EMP_NAME_NN NOT NULL,
SEX VARCHAR(3), SALARY
REAL, SUPER_SSN
CHAR(10),
DNO NUMBER(3) CONSTRAINT EMP_DNO_FK REFERENCES DEPARTMENT(DNO));
ALTER TABLE DEPARTMENT ADD CONSTRAINT DEPT_MGRSSN_FK FOREIGN
KEY(MGRSSN) REFERENCES EMPLOYEE(SSN);
Table altered.
DLOCATION
CREATE TABLE DLOCATION(
DLOC VARCHAR2 (20),
DNO REFERENCES DEPARTMENT (DNO),
PRIMARY KEY (DNO, DLOC));
PROJECT
CREATE TABLE PROJECT(
PNO INTEGER PRIMARY KEY,
PNAME VARCHAR2 (20),
PLOCATION VARCHAR2 (20),
DNO REFERENCES DEPARTMENT (DNO));
WORKS_ON
CREATE TABLE WORKS_ON(
HOURS NUMBER (2),
SSN REFERENCES EMPLOYEE (SSN),
PNO REFERENCES PROJECT(PNO),
PRIMARY KEY (SSN, PNO));

Values for tables:
DEPARTMENT
INSERT INTO DEPARTMENT VALUES(&DNO,'&DNAME',&MGRSSN,'&MGRSTARTDATE');
SELECT * FROM DEPARTMENT;
DNO DNAME MGRSSN MGRSTARTD
--------- --------------- ---------- ---------
1 RESEARCH 111111 10-AUG-12
2 ACCOUNTS 222222 10-AUG-10
3 AI 333333 15-APR-12
4 NETWORKS 111111 18-MAY-14
5 BIGDATA 666666 21-JAN-10
5 rows selected.
EMPLOYEE
INSERT INTO EMPLOYEE
VALUES('&SSN','&NAME','&ADDRESS','&SEX',&SALARY,'&SUPERSSN',&
DNO);
SELECT * FROM EMPLOYEE;
SSN NAME ADDRESS SEX SALARY SUPERSSN DNO
--------
--
---------------
---
---------------
---
--- -------
--
---------- -----
----
111111 RAJ BENGALURU M 700000 1
222222 RASHMI MYSORE F 400000 111111 2
333333 RAGAVI TUMKUR F 800000 3
444444 RAJESH TUMKUR M 650000 333333 3
555555 RAVEESH BENGALURU M 500000 333333 3
666666 SCOTT ENGLAND M 700000 444444 5
777777 NIGANTH GUBBI M 200000 222222 2
888888 RAMYA GUBBI F 400000 222222 3
999999 VIDYA TUMKUR F 650000 333333 3
100000 GEETHA TUMKUR F 800000 3
10 rows selected.
DLOCATION
INSERT INTO DLOCATION VALUES(&DNO,'&DLOC');
SELECT * FROM DLOCATION;
DNO DLOC
--------- ---------------
1 MYSORE
1 TUMKUR
2 BENGALURU

3 GUBBI
4 DELHI
5 BENGALURU
6 rows selected.
PROJECT
INSERT INTO PROJECT VALUES(&PNO,'&PNAME','&PLOCATION',’&DNO’);
SELECT * FROM PROJECT;
PNO PNAME PLOCATION DNO
--------- ---------- ---------- ---------
111 IOT GUBBI 3
222 TEXTSPEECH GUBBI 3
333 IPSECURITY DELHI 4
444 TRAFICANAL BENGALURU 5
555 CLOUDSEC DELHI 1
5 rows selected.
WORKS_ON
INSERT INTO WORKS_ON VALUES('&SSN',&PNO,&HOURS);
SELECT * FROM WORKS_ON;
SSN PNO HOURS
---------- --------- ---------
666666 333 4
666666 111 2
111111 222 3
555555 222 2
333333 111 4
444444 111 6
222222 111 2
8 rows selected.

1. Make a list of all project numbers for projects that involve an employee whose last
name is ‘Scott’, either as a worker or as a manager of the department that controls the
project.
(SELECT DISTINCT PNO
FROM PROJECT P, DEPARTMENT D,
EMPLOYEE E WHERE P.DNO=D.DNO AND
SSN=MGRSSN AND
NAME='SCOTT')
UNION
(SELECT DISTINCT P.PNO
FROM PROJECT P, WORKS_ON W,
EMPLOYEE E WHERE P.PNO=W.PNO AND
W.SSN=E.SSN AND
NAME='SCOTT');
PNO
---------
111
333
444
2. Show the resulting salaries if every employee working on the ‘IoT’ project is given a 10
percent raise.
SELECT FNAME, LNAME, 1.1*SALARY AS INCR_SAL
FROM EMPLOYEE E, WORKS_ON W, PROJECT P
WHERE E.SSN=W.SSN AND
W.PNO=P.PNO AND
P.PNAME=’IOT’;
SSN NAME ADDRESS SEX SALARY SUPERSSN DNO
---------- ------------------ ------------------ --- --------- ---------- ---------
111111 RAJ BENGALURU M 700000 1
222222 RASHMI MYSORE F 440000 111111 2
333333 RAGAVI TUMKUR F 880000 3
444444 RAJESH TUMKUR M 715000 333333 3
555555 RAVEESH BENGALURU M 500000 333333 3
666666 SCOTT ENGLAND M 770000 444444 5
777777 NIGANTH GUBBI M 200000 222222 2
888888 RAMYA GUBBI F 400000 222222 3
999999 VIDYA TUMKUR F 650000 333333 3
100000 GEETHA TUMKUR F 800000 3
10 rows selected.

3. Find the sum of the salaries of all employees of the ‘Accounts’ department, as well as the
maximum salary, the minimum salary, and the average salary in this department.
SELECT SUM(SALARY), MAX(SALARY), MIN(SALARY),
AVG(SALARY) FROM EMPLOYEE E, DEPARTMENT D
WHERE DNAME='ACCOUNTS' AND
D.DNO=E.DNO;
SUM(SALARY) MAX(SALARY) MIN(SALARY) AVG(SALARY)
-
-
-
-
-
-
-
-
-
-
-
----------
-
----------
-
----------
-
6
4
0
0
0
0
440000 200000 320000
4. Retrieve the name of each employee who works on all the projects controlled by
department number 5 (use NOT EXISTS operator).
SELECT NAME FROM
EMPLOYEE E
WHERE NOT EXISTS( (SELECT PNO
FROM ROJECT
WHERE
DNO=5)
MINUS
(SELECT PNO
FROM WORKS_ON W
WHERE E.SSN=W.SSN))
NAME
----------------
SCOTT
5. For each department that has more than five employees, retrieve the department number
and the number of its employees who are making more than Rs. 6,00,000.
SELECT DNO,COUNT(SSN)
FROM EMPLOYEE
WHERE SALARY>600000 AND DNO
IN(SELECT DNO
FROM EMPLOYEE
GROUP BY DNO
HAVING COUNT(SSN)>5)
GROUP BY DNO ;

DNO COUNT(SSN)
--------- ----------
3 4

DATE: SIGNATURE

BIBLIOGRAPHY
1. Elmasri and Navathe: Fundamentals of Database Systems, 5th Edition, Addison-
Wesley, 2007
2. Raghu Ramakrishnan and Johannes Gehrke: Database Management Systems,
3rdEdition, McGraw-Hill, 2003.
3. Silberschatz, Korth and Sudharshan: Data base System Concepts, 5th Edition, Mc-
GrawHill, 2006.
4. C.J. Date, A. Kannan, S. Swamynatham: A Introduction to Database Systems,
8thEdition, Pearson education, 2006.

VIVA QUESTIONS
1. Define Data.
2. Define Information.
3. Define Database.
4. Define DBMS.
5. What do you mean by processed data?
6. What do you mean by data management?
7. Which are the actions that are performed on the database?
8. Mention the different types of DBMS.
9. Define Data model.
10. Mention the different types of Data models.
11. Why database approach is advantageous than the file system approach?
12. Who is called as the father of RDBMS?
13. What do you mean by redundant data?
14. What do you mean by Data duplication?
15. Mention the different relational algebra operations.
16. Mention the different User interfaces provided by the database system.
17. Mention the different languages provided by the database system
18. What is the difference between select operation in relational algebra and in SQL?
19. What is the difference between JOIN and Cartesian product?
20. Mention the different types of Join operations.
21. What is the difference between EQUIJOIN and NATURAL JOIN?
22. What is the difference between OUTER JOIN and JOIN.?
23. What is the difference between OUTER UNION and UNION?
24. What do you mean by Union Compatibility.?
25. What do you mean by Type Compatibility?
26. Mention the different types of relational constraints.
27. Mention the different types of structural constraints
28. What do you mean by cardinality?
29. What do you mean by cardinality ratio?
30. What do you mean by degree of a relation?
31. What do you mean by entity integrity constraint?
32. What do you mean by referential integrity constraint?
33. What do you mean by NULL constraint?
34. What do you mean by unique constraint?
35. What do you mean by Check constraint?
36. Define functional dependency.
37. Define normalization.
38. Define normal form
39. Mention the different types of normal forms
40. What is the difference between 3NF and BCNF?
41. What do you mean by JOIN dependencies?
42. What do you mean by Inclusion dependencies?
43. What do you mean by Template dependencies?
44. What do you mean by Multivalued dependencies?
45. Define Project Join Normal form.

46. Define Domain Key Normal form.
47. Mention the informal guidelines for database design.
48. Define super key.
49. Define primary key.
50. Define foreign key.
51. Define unique key.
52. Define prime attribute.
53. Define trivial functional dependency.
54. When a FD is said to be fully FD?
55. Mention the different Armstrong’s inference rules.
56. Why Armstrong’s inference rules are said to be sound and complete?
57. Define denormalisation.
58. Define Transaction.
59. Mention the ACID properties.
60. Define schedule.
61. Is DBMS usage always advisable or some times we may depend on file base systems?
Comment on the statement by describing the situation where DBMS is not a better
option & file base systems is better.
62. Describe 3-level architecture of DBMS with details of languages associated at different
levels plus the level of data independence.
63. How logical architecture of DBMS differs from physical architecture?
64. Create an E R diagram and relational schema to hold information about the situation in
many institutions affiliated to some University, many teachers of different disciplines
are teaching to many students enrolled in many courses offered by the university to the
students through the institutions. Use concept of keys, aggregation, generalisation,
cardinality etc. in a proper way.
65. What is the utility of relational algebra & relational calculus? Name some software’s
based on these concepts?
66. Comment on the statement “Set theory has contributed a lot to RDBMS” support it with
the help of suitable examples.
67. “Redundancy of data is many times beneficial” Justify the statement, also describe the
situation when redundancy will mess up the current data base status, at that instance of
time what actions you will prefer to take.
68. In Oracle we are having variety of versions Oracle 8, Oracle 9, etc, what does the
associated number mean. Again we are having Oracle 8i, Oracle 9i etc, what does this
“i” mean.
69. Describe the various file organization techniques? How a binary tree is different from
B-tree and B+ tree? Under which situation we need to use B+ tree or B tree.
Prove “Any relation which is in BCNF is in 3NF,but converse is not true”
70. Which functional dependencies are to be removed to achieve respective normal form?
Discuss all the normal forms up to 4NF?
71. What is the mathematical basis of SQL? The SQL statement: select * from student will
perform like projection or selection? Give details in support of your answer.

Dms 22319 micro project

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