![Dr. Amiya Ranjan Panda
Assistant Professor [II]
School of Computer Engineering,
Kalinga Institute of Industrial Technology (KIIT),
Deemed to be University,Odisha
Conversion of ER model to Relational Model
KALINGA INSTITUTE OF INDUSTRIAL
TECHNOLOGY
School Of Computer
Engineering
4 Credit Lecture Note 10](https://image.slidesharecdn.com/dbms-10-210329065530/85/Dbms-10-Conversion-of-ER-model-to-Relational-Model-1-320.jpg)
Dbms 10: Conversion of ER model to Relational Model
- 1. Dr. Amiya Ranjan Panda Assistant Professor [II] School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University,Odisha Conversion of ER model to Relational Model KALINGA INSTITUTE OF INDUSTRIAL TECHNOLOGY School Of Computer Engineering 4 Credit Lecture Note 10
- 2. Chapter Contents q Conversion of ER model to Relational Model 2
- 3. 3 Conversion of ER model to Relational Model A database that conforms to an ER diagram schema can be represented by a collection of relational schemas. Both the ER model and Relational data model are abstract, logical representations of real-world enterprises… 1. Representation of Strong Entity sets: A strong entity set reduces to a schema with the same attributes. The primary key of the entity set serves as the primary key of the resulting schema. Loan = (loan_no, amount)
- 4. 4 Conversion of ER model to Relational Model 2. Representation of Weak Entity sets: A weak entity set becomes a table that includes a column for the primary key of the identifying strong entity set. The primary key is constructed by the collection of foreign key and partial key. Loan = (loan_no, amount) Payment = (loan_no, payment_no, payment_date, payment_amt)
- 5. 5 Conversion of ER model to Relational Model 3. Representation of Relationship sets : 3. (a) Binary M:N: Union of the primary key attributes from the participating entity sets becomes the primary key of the relationship. Customer = (cid, cname, address) Loan = (loan_no, amount) Borrow = (cid, loan_no) If borrow_date is mentioned as descriptive attribute, then Borrow = (cid, loan_no, borrow_date)
- 6. 6 Conversion of ER model to Relational Model 3. Representation of Relationship sets : 3. (b) Binary M:1 / 1:M : Construct two tables, one for the entity set at 1 side and another for entity set at M side, add the descriptive attributes and a reference of the primary key of 1 side to the entity set at M side. Stud = (roll, name, branch) Library = (bid, bname, price, roll) The foreign key can be represented by specifying the name as: Library = (bid, bname, price, borrowing_roll) If borrow_date is the descriptive attribute, then Library = (bid, bname, price, borrowing_roll, borrow_date)
- 7. 7 Conversion of ER model to Relational Model 3. Representation of Relationship sets : 3. (c) Binary 1:1 : Construct two tables. In this case, either side can be chosen to act as the many side. That is, extra attributes can be added to either of the tables corresponding to the two entity sets, but not at the same time. Employee = (eid, ename, address, did) Department = (did, dname, location) If it is required to mention the relationship name, then Employee = (eid, ename, address, manager_did) If department entity set will be considered as many side, then Employee = (eid, ename, address) Department = (did, dname, location, manager_eid)
- 8. 8 Conversion of ER model to Relational Model 4. Representation of Recursive Relationship sets : Two tables will be constructed; one for entity set and one for relationship set. Employee = (eid, ename, address) Works_for = (mgrid, workerid) This ER diagram can also be represented by using a single relation schema. In such cases, the schema contains a foreign key for each tuple in the original entity set Employee = (eid, ename, address, manager_id)
- 9. 9 Conversion of ER model to Relational Model 5. Representation of Composite attributes : The composite attributes are flattened out by creating a separate attribute for each of its parts. Customer = (cid, name, address_street, address_city, address_pin)
- 10. 10 Conversion of ER model to Relational Model 6. Representation of Multi-valued attributes: A multi-valued attribute M of an entity set E is represented by a separate schema E_M as E_M (primary key of E, M). Employee = (eid, name, address) Employee_phone_no = (eid, phone_no)
- 11. 11 Conversion of ER model to Relational Model 7. Representation of Generalization / Specialization : In case of generalization/specialization-related ER diagram, one schema will be constructed for the generalized entity set and the schemas for each of the specialized entity sets. Person = (person_id, name, address) Employee = (person_id, salary) Customer = (person_id, credit_rating) When the generalization/specialization is a disjointness case, the schemas are constructed only for the specialized entity sets Employee = (employee_id, name, address, salary) Customer = (customer_id, name, address, credit_rating)
- 12. 12 Conversion of ER model to Relational Model 8. Representation of Aggregation : To represent aggregation, create a schema containing the primary key of the aggregated relationship, primary key of the associated entity set and descriptive attributes (if any). Employee = (eid, name, address) Branch = (bid, bname, asset) Job = (jobid, position, responsibility) Works_on = (eid, bid, jobid) Manager = (mid, mgrname) Manages = (eid, bid, jobid, mid)
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