M.TECH 1ST SEM COMPUTER SCIENCE ADBMS LAB PROGRAMS

Advances in Database Management Systems Laboratory Work 2014-2015
1
PROGRAM 1.
Develop a database application to demonstrate storing and retrieving of BLOB and
CLOB object.
Theory:-
CLOB stands for Character Large Object. It is a datatype used to store and retrieve
large amount of text data in character format. CLOB datatypes are created by using
CREATE commands. It can store Single byte and multiple byte character data. It
supports both fixed width and variable width character set.
A CLOB contains a logical pointer to a CLOB, not the CLOB itself. CLOB columns
are referred as LONG VARCHAR.
BLOB stands for Binary Large object or Basic Large Object. It is a datatype used to
store unstructured binary large objects. It is an array of bytes(byte[]) stored in the
database. It is not case sensitive Blob’s are used to hold multimedia objects.
BLOB’s fields are normally used to store graphics, audio, video, still images and so
on.
Insertb.java
Packagevemana;
importjava.io.File;
importjava.io.FileInputStream;
importjava.io.IOException;
importjava.io.PrintWriter;
importjava.sql.Connection;
importjava.sql.DriverManager;
importjava.sql.PreparedStatement;
importjava.sql.SQLException;
importjava.util.logging.Level;
importjava.util.logging.Logger;

2
importjavax.servlet.ServletException;
importjavax.servlet.http.HttpServlet;
importjavax.servlet.http.HttpServletRequest;
importjavax.servlet.http.HttpServletResponse;
public class insertb extends HttpServlet {
protected void doGet (HttpServletRequest request, HttpServletResponse response)
throwsServletException, IOException {
FileInputStream is = null;
response.setContentType("text/html;charset=UTF-8");
PrintWriter out = response.getWriter();
try {
// Connect to Oracle
out.println("<html>");
out.println("<body>");
Class.forName("oracle.jdbc.driver.OracleDriver");
Connection
con=DriverManager.getConnection("jdbc:oracle:thin:@localhost:1521:xe"
, "hr", "hr");
PreparedStatementps = con.prepareStatement("insert into pic values(?,?,?)
");
ps.setInt(1,3);
ps.setString(2,"Java Logo");
File fBlob = new File
("C:UsersinsbinsDocumentsNetBeansProjectsBLOBCLOBTrialsr
cjavavemanaJellyfish.jpg");
is = new FileInputStream ( fBlob );
ps.setBinaryStream (3, is, (int) fBlob.length() );
ps.executeUpdate();
if (is != null)
is.close();
out.println("Image sucessfully inserted into database");
out.println("</body>");

3
out.println("</html>");
}
catch(Exception e)
{
System.out.println(e);
}
finally {
out.close();
}
}
}
GetBLOB.java
packagevemana;
importjava.io.InputStream;
importjava.io.OutputStream;
importjava.sql.Blob;
importjava.sql.ResultSet;
public class GetBLOB extends HttpServlet
{
protected void processRequest (HttpServletRequest request, HttpServletResponse
response)
throwsServletException, IOException
{

4
try
{
Connectioncon=DriverManager.getConnection("jdbc:oracle:thin:@localho
st:1521:xe", "hr", "hr");
PreparedStatementps = con.prepareStatement("select image from pic
where id = ?");
String id = request.getParameter("id");
ps.setString(1,id);
ResultSetrs = ps.executeQuery();
rs.next();
Blob b = rs.getBlob("image");
response.setContentType("image/jpeg");
response.setContentLength( (int) b.length());
InputStream is = b.getBinaryStream();
OutputStreamos = response.getOutputStream();
bytebuf[] = new byte[(int) b.length()];
is.read(buf);
os.write(buf);
os.close();
}
catch(Exception ex)
{
System.out.println(ex.getMessage());
}
}
protected void doGet(HttpServletRequest request, HttpServletResponse response)
{
processRequest(request, response);
}
protected void doPost(HttpServletRequest request, HttpServletResponseresponse)
{

5
processRequest(request, response);
}
Bdisplay.java
packagevemana;
importjava.io.PrintWriter;
importjava.sql.ResultSet;
public class bdisplay extends HttpServlet
{
protected void doGet(HttpServletRequest request, HttpServletResponse response)
{
String id;
response.setContentType("text/html;charset=UTF-8");
PrintWriter out = response.getWriter();
try
{
out.println("<html>");
out.println("<body>");
Connection con =
DriverManager.getConnection("jdbc:oracle:thin:@localhost:1521:xe",
"hr", "hr");
PreparedStatementps = con.prepareStatement("select * from pic");
ResultSetrs = ps.executeQuery();
out.println("<h1>Photos</h1>");

6
while ( rs.next())
{
id=rs.getString("id");
out.println("<h4>" +id+ "</h4>");
out.println("<img width='160' height='160'
src=GetBLOB?id="+id+"></img><p/>");
}
out.println("</body>");
out.println("</html>");
con.close();
}
catch(Exception e)
{
}
finally
{
out.close();
}
}
}
Steps for storing and retrieving of BLOB and CLOB object:
Step 1: Connect to Oracle JDBC driver.
Step 2: Creating a BLOB.
Step 3: Inserting image into a BLOB.
Step 4: Querying a database for a BLOB.
Step 5: Executing a binary data.
Step 6: Storing and Retrieving of BLOB and CLOB object was displayed
successfully.

7
OUTPUT:

8
CONCLUSION: - An application for storing and retrieving of BLOB and CLOB object
wasimplemented successfully.

9
PROGRAM 2.
Develop a database application to demonstrate the representation of multivalued
attributes, and use of nested tables to represent complex objects. Write suitable
queries to demonstrate it.
Theory:-
Nested table is an Oracle data type used to support columns containing multivalued
attributes, in this case, columns that can hold an entire sub-table.
Example:
Create a table with NESTED TABLE column:
SQL>CREATE TYPE my_tab_t AS TABLE OF VARCHAR2(30);
Output:
Type Created.
SQL >CREATE TABLE nested_table (id NUMBER, col1 my_tab_v)
NESTED TABLE col1 STORE AS col1_tab;
Output:
Table created.
Inserting data into table:
SQL >INSERT INTO nested_table VALUES (1, my_tab_v('A'));
1 row created.
SQL >INSERT INTO nested_table VALUES (2, my_tab_v('B', 'C'));
1 row created.
SQL >INSERT INTO nested_table VALUES (3, my_tab_v('D', 'E', 'F'));
1 row created.
SQL >COMMIT;
Commit complete.

10
Selecting from nested table:
SQL >SELECT * FROM nested_table;
Output:
ID COL1
1 MY_TAB_V('A')
2 MY_TAB_V('B', 'C')
3 MY_TAB_V('D', 'E', 'F')
SQL >SELECT id, COLUMN_VALUE FROM nested_table t1, TABLE(t1.col1) t2;
Output:
ID ID COLUMN_VALUE
1 A
2 B
2 C
3 D
3 E
3 F
6 rows selected.
Conclusion: - Application to demonstrate the representation of multivalued attributes,
and use of nested tables to represent complex objects was successfully executed with the
help of above queries.

11
PROGRAM 3.
Design and develop a suitable student database application .one of the attributes to
be maintained is the attendance of a student in each subject for which he/she has
enrolled. Using TRIGGERS, write active rules to do the following
a) Whenever the attendance is updated, check if the attendance is less than 85%, if
so notify the head of the department concerned.
b) Whenever the marks in an internal assessment test are entered, check if the
marks is less than 40%, if, so notify the head of the department concerned.
create table stud_rec(regno varchar(10) primary key,name varchar2(10) not null,major
varchar2(10),mark number(4),attendence number(4));
Table created.
SQL> desc stud_rec;
Name Null? Type
REGNO NOT NULL VARCHAR2(10)
NAME NOT NULL VARCHAR2(10)
MARKS VARCHAR2(10)
MAJOR NUMBER(4)
ATTENDENCE NUMBER(4)
SQL> insert into stud_rec values('&regno','&name','&major',&mark,&atttendance);
Enter value for regno: 001
Enter value for name: pinky
Enter value for major: cse
Enter value for mark: 85
Enter value for atttendance: 70
old 1: insert into stud_rec values('&regno','&name','&major',&mark, &atttendance)
new 1: insert into stud_rec values('001','pinky','cse',85,70)
1 row created.
SQL> /
Enter value for name: john

12
old 1: insert into stud_rec values('&regno','&name','&major',&mark,&atttendance)
new 1: insert into stud_rec values('002','john','cse',30,70)
1 row created.
SQL> /
Enter value for name: arun
old 1: insert into stud_rec values('&regno','&name','&major',&mark,&atttendance)
new 1: insert into stud_rec values('003','arun','cse',90,95)
1 row created.
SQL> select * from stud_rec;
REGNO NAME MARKS MAJOR ATTENDENCE
001 pinky cse 85 70
002 john cse 30 70
003 arun cse 90 95
create TRIGGER trig_attee_mark after update on stud_rec
for each row
begin
if ( :new.attendence < 85 ) then dbms_output.put_line (:new.name || ' bearing REG.NO. '||
:new.regno || ' has attendence less than 85 ' );
end if;
if ( :new.mark < 40 ) then dbms_output.put_line (:new.name || ' bearing REG.NO. '||
:new.regno || ' got mark less than 40 ' );
end if;
end;
Trigger created.
001 pinky cse 85 70

13
002 john cse 30 70
003 arun cse 90 95
SQL> update stud_rec set attendence=25 where regno='001';
1 row updated.
001 pinky cse 85 25
002 john cse 30 70
003 arun cse 90 95

14
PROGRAM 4.
Design, develop and execute a program in a language of your choice to implement
any one algorithm for mining association rules. Run the program against any large
database available in the public domain and discuss the results.
Theory:-
Apriori is a classic algorithm for frequent itemset mining and association rule learning
over transactional databases. It proceeds by identifying the frequent individual items in
the database and extending them to larger and larger item sets as long as those item sets
appear sufficiently often in the database. The frequent item sets determined by Apriori
can be used to determine association rules which highlight general trends in the database:
this has applications in domains such as market basket analysis.
Steps in execution:
STEP 1: Create two notepad files and name them config.txt and transa.txt respectively.
STEP 2: In config.txt file, insert 3 lines of input
line 1 - number of items per transaction
line 2 - number of transactions
line 3 –minsup
STEP 3: In transa.txt file, which is the transaction file, where the input is separated by
space.
STEP 4: These two input files belongs to the class AprioriCalculation.Copy these two
input files in the specified path
STEP 5: Run the program in netbeans.

15
package apriori;
import java.io.*;
import java.util.*;
public class Apriori {
public static void main(String[] args) {
AprioriCalculationap = new AprioriCalculation();
ap.aprioriProcess();
}
}
/***************************************************************
* Class Name : AprioriCalculation
* Purpose : generate Aprioriitemsets
***************************************************************/
class AprioriCalculation
{
Vector<String> candidates=new Vector<String>(); //the current candidates
String configFile="config.txt"; //configuration file
String transaFile="transa.txt"; //transaction file
String outputFile="apriori-output.txt";//output file
intnumItems; //number of items per transaction
intnumTransactions; //number of transactions
double minSup; //minimum support for a frequent itemset
String oneVal[]; //array of value per column that will be treated as a '1'
String itemSep = " "; //the separator value for items in the database

16
/***************************************************************
* Method Name : aprioriProcess
* Purpose : Generate the aprioriitemsets
* Parameters : None
* Return : None
***************************************************************/
public void aprioriProcess()
{
Date d; //date object for timing purposes
long start, end; //start and end time
intitemsetNumber=0; //the current itemset being looked at
//get config
getConfig();
System.out.println("Apriori algorithm has started.n");
//start timer
d = new Date();
start = d.getTime();
//while not complete
do
{
//increase the itemset that is being looked at
itemsetNumber++;
//generate the candidates
generateCandidates(itemsetNumber);
//determine and display frequent itemsets
calculateFrequentItemsets(itemsetNumber);
if(candidates.size()!=0)
{
System.out.println("Frequent " + itemsetNumber + "-itemsets");

17
System.out.println(candidates);
}
//if there are <=1 frequent items, then its the end. This prevents reading through the
database again. When there is only one frequent itemset.
}while(candidates.size()>1);
//end timer
d = new Date();
end = d.getTime();
//display the execution time
System.out.println("Execution time is: "+((double)(end-start)/1000) + " seconds.");
}
/***************************************************************
* Method Name : getInput
* Purpose : get user input from System.in
* Parameters : None
* Return : String value of the users input
***************************************************************/
public static String getInput()
{
String input="";
//read from System.in
BufferedReader reader = new BufferedReader(new InputStreamReader(System.in));
//try to get users input, if there is an error print the message
try
{
input = reader.readLine();
}
catch (Exception e)
{

18
}
return input;
}
/***************************************************************
* Method Name : getConfig
* Purpose : get the configuration information (config filename, transaction
filename)
*: configFile and transaFile will be change appropriately
* Parameters : None
* Return : None
***************************************************************/
private void getConfig()
{
FileWriterfw;
BufferedWriterfile_out;
String input="";
//ask if want to change the config
System.out.println("Default Configuration: ");
System.out.println("tRegular transaction file with '" + itemSep + "' item
separator.");
System.out.println("tConfig File: " + configFile);
System.out.println("tTransa File: " + transaFile);
System.out.println("tOutput File: " + outputFile);
System.out.println("nPress 'C' to change the item separator, configuration file and
transaction files");
System.out.print("or any other key to continue. ");
input=getInput();
if(input.compareToIgnoreCase("c")==0)
{
System.out.print("Enter new transaction filename (return for '"+transaFile+"'): ");
input=getInput();

19
if(input.compareToIgnoreCase("")!=0)
transaFile=input;
System.out.print("Enter new configuration filename (return for '"+configFile+"'):
");
input=getInput();
configFile=input;
System.out.print("Enter new output filename (return for '"+outputFile+"'): ");
input=getInput();
outputFile=input;
System.out.println("Filenames changed");
System.out.print("Enter the separating character(s) for items (return for
'"+itemSep+"'): ");
input=getInput();
itemSep=input;
}
try
{
FileInputStreamfile_in = new FileInputStream(configFile);
BufferedReaderdata_in = new BufferedReader(new InputStreamReader(file_in));
//number of items
numItems=Integer.valueOf(data_in.readLine()).intValue();
//number of transactions
numTransactions=Integer.valueOf(data_in.readLine()).intValue();
//minsup
minSup=(Double.valueOf(data_in.readLine()).doubleValue());

20
//output config info to the user
System.out.print("nInput configuration: "+numItems+" items,
"+numTransactions+" transactions, ");
System.out.println("minsup = "+minSup+"%");
System.out.println();
minSup/=100.0;
oneVal = new String[numItems];
System.out.print("Enter 'y' to change the value each row recognizes as a '1':");
if(getInput().compareToIgnoreCase("y")==0)
{
for(inti=0; i<oneVal.length; i++)
{
System.out.print("Enter value for column #" + (i+1) + ": ");
oneVal[i] = getInput();
}
}
else
for(inti=0; i<oneVal.length; i++)
oneVal[i]="1";
//create the output file
fw= new FileWriter(outputFile);
file_out = new BufferedWriter(fw);
//put the number of transactions into the output file
file_out.write(numTransactions + "n");
file_out.write(numItems + "n******n");
file_out.close();
}
//if there is an error, print the message
catch(IOException e)
{

21
}
}
/***************************************************************
* Method Name : generateCandidates
* Purpose : Generate all possible candidates for the n-thitemsets
* : these candidates are stored in the candidates class vector
* Parameters : n - integer value representing the current itemsets to be created
* Return : None
***************************************************************/
private void generateCandidates(int n)
{
Vector<String>tempCandidates = new Vector<String>(); //temporary candidate
string vector
String str1, str2; //strings that will be used for comparisons
StringTokenizer st1, st2; //string tokenizers for the two itemsets being compared
//if its the first set, candidates are just the numbers
if(n==1)
{
for(inti=1; i<=numItems; i++)
{
tempCandidates.add(Integer.toString(i));
}
}
else if(n==2) //second itemset is just all combinations of itemset 1
{
//add each itemset from the previous frequent itemsets together
for(inti=0; i<candidates.size(); i++)
{
st1 = new StringTokenizer(candidates.get(i));
str1 = st1.nextToken();
for(int j=i+1; j<candidates.size(); j++)
{

22
st2 = new StringTokenizer(candidates.elementAt(j));
str2 = st2.nextToken();
tempCandidates.add(str1 + " " + str2);
}
}
}
else
{
//for each itemset
{
//compare to the next itemset
for(int j=i+1; j<candidates.size(); j++)
{
//create the strigns
str1 = new String();
str2 = new String();
//create the tokenizers
st1 = new StringTokenizer(candidates.get(i));
st2 = new StringTokenizer(candidates.get(j));
//make a string of the first n-2 tokens of the strings
for(int s=0; s<n-2; s++)
{
str1 = str1 + " " + st1.nextToken();
str2 = str2 + " " + st2.nextToken();
}
//if they have the same n-2 tokens, add them together
if(str2.compareToIgnoreCase(str1)==0)
tempCandidates.add((str1 + " " + st1.nextToken() + " " +
st2.nextToken()).trim());
}
}

23
}
//clear the old candidates
candidates.clear();
//set the new ones
candidates = new Vector<String>(tempCandidates);
tempCandidates.clear();
}
/***************************************************************
* Method Name : calculateFrequentItemsets
* Purpose : Determine which candidates are frequent in the n-thitemsets
* from all possible candidates
* Parameters : n - iteger representing the current itemsets being evaluated
***************************************************************/
private void calculateFrequentItemsets(int n)
{
Vector<String>frequentCandidates = new Vector<String>(); //the frequent
candidates for the current itemset
FileInputStreamfile_in; //file input stream
BufferedReaderdata_in; //data input stream
FileWriterfw;
BufferedWriterfile_out;
StringTokenizerst, stFile; //tokenizer for candidate and transaction
boolean match; //whether the transaction has all the items in an itemset
boolean trans[] = new boolean[numItems]; //array to hold a transaction so that can be
checked
int count[] = new int[candidates.size()]; //the number of successful matches
try
{
//output file
fw= new FileWriter(outputFile, true);
file_out = new BufferedWriter(fw);
//load the transaction file

24
file_in = new FileInputStream(transaFile);
data_in = new BufferedReader(new InputStreamReader(file_in));
//for each transaction
for(inti=0; i<numTransactions; i++)
{
//System.out.println("Got here " + i + " times"); //useful to debug files that
you are unsure of the number of line
stFile = new StringTokenizer(data_in.readLine(), itemSep); //read a line from
the file to the tokenizer
//put the contents of that line into the transaction array
for(int j=0; j<numItems; j++)
{
trans[j]=(stFile.nextToken().compareToIgnoreCase(oneVal[j])==0); //if it
is not a 0, assign the value to true
}
//check each candidate
for(int c=0; c<candidates.size(); c++)
{
match = false; //reset match to false
//tokenize the candidate so that we know what items need to be present for
a match
st = new StringTokenizer(candidates.get(c));
//check each item in the itemset to see if it is present in the transaction
while(st.hasMoreTokens())
{
match = (trans[Integer.valueOf(st.nextToken())-1]);
if(!match) //if it is not present in the transaction stop checking
break;
}
if(match) //if at this point it is a match, increase the count
count[c]++;
}

25
}
{
// System.out.println("Candidate: " + candidates.get(c) + " with count: " +
count + " % is: " + (count/(double)numItems));
//if the count% is larger than the minSup%, add to the candidate to the
frequent candidates
if((count[i]/(double)numTransactions)>=minSup)
{
frequentCandidates.add(candidates.get(i));
//put the frequent itemset into the output file
file_out.write(candidates.get(i) + "," + count[i]/(double)numTransactions +
"n");
}
}
file_out.write("-n");
file_out.close();
}
//if error at all in this process, catch it and print the error messate
catch(IOException e)
{
}
//clear old candidates
candidates.clear();
//new candidates are the old frequent candidates
candidates = new Vector<String>(frequentCandidates);
frequentCandidates.clear();
}
}

26
Input:

27
Output:-

M.TECH 1ST SEM COMPUTER SCIENCE ADBMS LAB PROGRAMS

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