Generate massive amounts of sample data: Login to your account with your username and run the following pl-sql code



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3612ICT/7204ICT – DATABASE SYSTEMS AND ADMINISTRATION/DATABASE TECHNOLOGY

Lab 2 – Week 3



Generate massive amounts of sample data:
1. Login to your account with your username and run the following PL-SQL code:

declare


age number;

begin


for i in 900000000..900010000 loop

age := dbms_random.value(18,99);

INSERT INTO student VALUES (i, 'John Smith', 'Database Theory', 'IT', age);

end loop;



commit;

end;


/

2. Turn autotrace on with the following command:
SQL> set autotrace on

Test the various indexes on the generated data:
1. Run the following Exact Query without an index and take note of the performance with autotrace:
SQL> select sname from student where age = 21;
2. Run the following Range Query without an index and take note of the performance with autotrace:
SQL> select sname from student where age between 40 and 99;
3. Create a hash index on student age:
SQL> create index studentageindex1 on student(age) global partition by hash (age) partitions 4;
4. Run the following Exact Query with the hash index and take note of the performance with autotrace:
SQL> select sname from student where age = 21;


5. Run the following Range Query with the hash index and take note of the performance with autotrace:
SQL> select sname from student where age between 40 and 99;
6. Drop the hash index we just created:
SQL> drop index studentageindex1;
7. Create a tree index on student age (by default, it create a b+ tree index):
SQL> create index studentageindex2 on student(age);
8. Run the following Exact Query with the tree index and take note of the performance with autotrace:
SQL> select sname from student where age = 21;
9. Run the following Range Query with the tree index and take note of the performance with autotrace:
SQL> select sname from student where age between 40 and 99;
10. Drop the b+ tree index we just created:
SQL> drop index studentageindex2;
10. Compare the performance of the queries (especially the Execution Plan) across the various exact and range queries to determine which index type would be best suited for each query.
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