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What defines a relational model in the context of databases?
What defines a relational model in the context of databases?
A relational model defines a database as a collection of relations represented as two-dimensional tables with distinct columns and rows.
Explain what a tuple is in relational databases.
Explain what a tuple is in relational databases.
A tuple is a row in a relational table that represents a single record, consisting of values for each attribute.
What is the significance of domains in relational database design?
What is the significance of domains in relational database design?
Domains define the set of permissible values for each attribute in a table and help maintain data integrity within the database.
Describe the properties of relations in a relational database.
Describe the properties of relations in a relational database.
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What does a relational schema represent?
What does a relational schema represent?
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How does first normal form (1NF) apply to a relational table?
How does first normal form (1NF) apply to a relational table?
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What does the term 'functional dependency' mean in the realm of database normalization?
What does the term 'functional dependency' mean in the realm of database normalization?
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Why is it important that all rows in a relational table are distinct?
Why is it important that all rows in a relational table are distinct?
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What does Rule 0 of Codd's rules specify about relational databases?
What does Rule 0 of Codd's rules specify about relational databases?
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Explain the Information Rule (Rule 1) regarding how information is represented in an RDBMS.
Explain the Information Rule (Rule 1) regarding how information is represented in an RDBMS.
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What are the three components needed to access a unique piece of data according to Rule 2?
What are the three components needed to access a unique piece of data according to Rule 2?
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What is the importance of systematic treatment of NULL values as stated in Rule 3?
What is the importance of systematic treatment of NULL values as stated in Rule 3?
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How does Codd's rule framework impact the design of relational databases?
How does Codd's rule framework impact the design of relational databases?
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In what way does Rule 1 contribute to the basic requirements of the relational model?
In what way does Rule 1 contribute to the basic requirements of the relational model?
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Why is the definition of a primary key important as per Rule 2?
Why is the definition of a primary key important as per Rule 2?
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What would happen if a database management system does not follow Codd's rules?
What would happen if a database management system does not follow Codd's rules?
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What does the term 'full functional dependency' refer to in the context of Second Normal Form?
What does the term 'full functional dependency' refer to in the context of Second Normal Form?
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Explain the significance of moving from First Normal Form (1NF) to Second Normal Form (2NF).
Explain the significance of moving from First Normal Form (1NF) to Second Normal Form (2NF).
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Identify two non-primary-key attributes in the ClientRental relation.
Identify two non-primary-key attributes in the ClientRental relation.
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What does the abbreviation 'CR' in the 'ClientNo' column likely signify?
What does the abbreviation 'CR' in the 'ClientNo' column likely signify?
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How does the attribute 'rentFinish' contribute to determining rental agreements?
How does the attribute 'rentFinish' contribute to determining rental agreements?
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What can be inferred about the rental rates from the ClientRental data provided?
What can be inferred about the rental rates from the ClientRental data provided?
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Why is it important that every non-primary-key attribute is fully functionally dependent on the primary key in 2NF?
Why is it important that every non-primary-key attribute is fully functionally dependent on the primary key in 2NF?
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In the ClientRental relationship, what does the presence of multiple records for a single 'ClientNo' indicate?
In the ClientRental relationship, what does the presence of multiple records for a single 'ClientNo' indicate?
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What is the cost calculation for a primary index scan for equality?
What is the cost calculation for a primary index scan for equality?
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List three algorithms that can be used to implement join operations.
List three algorithms that can be used to implement join operations.
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What distinguishes a hash key retrieval from a primary index scan?
What distinguishes a hash key retrieval from a primary index scan?
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Why are search algorithms limited in their ability to use an index?
Why are search algorithms limited in their ability to use an index?
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What is the additional cost associated with hash key retrieval?
What is the additional cost associated with hash key retrieval?
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What is the primary difference between materialization and pipelining in evaluating expressions?
What is the primary difference between materialization and pipelining in evaluating expressions?
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Why is disk access typically considered the predominant cost in query execution?
Why is disk access typically considered the predominant cost in query execution?
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How is the cost of searching records satisfying a condition defined in linear search?
How is the cost of searching records satisfying a condition defined in linear search?
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What is the cost of searching for a key attribute value using linear search?
What is the cost of searching for a key attribute value using linear search?
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In what scenario is binary search applicable within selection operations?
In what scenario is binary search applicable within selection operations?
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How is the cost for binary search estimated?
How is the cost for binary search estimated?
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What two values are considered for calculating the cost of binary search?
What two values are considered for calculating the cost of binary search?
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What is considered for measuring the total elapsed time of answering a query?
What is considered for measuring the total elapsed time of answering a query?
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What is the definition of transitive dependency in relation to normalization?
What is the definition of transitive dependency in relation to normalization?
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Is it possible for a relation to be in 3NF if it contains transitive dependencies?
Is it possible for a relation to be in 3NF if it contains transitive dependencies?
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In the given relation Stud_info, what is the transitive dependency identified?
In the given relation Stud_info, what is the transitive dependency identified?
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How would you convert the relation Stud_info to satisfy 3NF?
How would you convert the relation Stud_info to satisfy 3NF?
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What must be true for a relation to qualify as being in Third Normal Form (3NF)?
What must be true for a relation to qualify as being in Third Normal Form (3NF)?
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What are the functional dependencies in the Client relation?
What are the functional dependencies in the Client relation?
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Can a relation be in Boyce-Codd Normal Form (BCNF) if it is not in 3NF?
Can a relation be in Boyce-Codd Normal Form (BCNF) if it is not in 3NF?
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What does a candidate key represent in a database relation?
What does a candidate key represent in a database relation?
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What defines a primary key in the context of the Rental relation?
What defines a primary key in the context of the Rental relation?
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Explain how 3NF handles non-trivial functional dependencies.
Explain how 3NF handles non-trivial functional dependencies.
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What transformation does propertyNo undergo in the relation PropertyOwner?
What transformation does propertyNo undergo in the relation PropertyOwner?
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What is the significance of a super key in database normalization?
What is the significance of a super key in database normalization?
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In which normalization form is a relation that has a functional dependency where the left-hand side is not a candidate key?
In which normalization form is a relation that has a functional dependency where the left-hand side is not a candidate key?
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What must be done if a relation in 2NF has transitive dependencies?
What must be done if a relation in 2NF has transitive dependencies?
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What relationship is formed by the functional dependency ownerNo -> oName?
What relationship is formed by the functional dependency ownerNo -> oName?
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Why is it important to convert relations to 3NF?
Why is it important to convert relations to 3NF?
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Study Notes
Database Management System (AID2PM02A)
- Course name: Database Management System
- Course code: AID2PM02A
- Semester: 3
- Academic year: 2024-25
- University: MIT World Peace University
- School: Computer Science & Engineering
Unit 2: Relational Database Design and Normalization
- Relational Model: Attributes, Tuple, Domain, CODD's rule Relational Integrity, Referential Integrities, Enterprise Constraints
- Normalization: 1NF, 2NF, 3NF, BCNF, Functional dependency
- Decomposition
- Query Processing: Overview, Measures of Query cost, Selection and Join operations, Evaluation of Expressions
Relational Database Design: Relational Model
- Relational model: A database is represented as a collection of "relations" where each relation is represented by a two-dimensional table.
- Properties:
- Column homogeneous: All items in a column are of the same kind (e.g., numbers or strings).
- Each item is simple: A table must be in first normal form (the simplest form).
- All rows are distinct: Each row is unique.
- Ordering is immaterial: The ordering of the rows and columns in a table is not significant.
Relational Model (continued)
- Tuple: Each row in a table represents a record and is called a tuple. A table containing 'n' attributes in a record is called an 'n-tuple'.
- Attributes: the name of each column in a table used to interpret its meaning
- Domain: A domain is a set of values that can be given to an attribute. Every attribute in a table has a specific domain. Values to these attributes cannot be assigned outside their domains.
- Relation: A relation consists of a relational schema and a relation instance. Relational schema specifies the relation's name, its attributes, and the domain of each attribute. If R is the relation name and A1, A2,... An is a list of attributes, then R(A1, A2,..., An) is called a Relational Schema. Each attribute in this schema takes a value from a specific domain called domain(Ai).
- Relation Instance: A relational instance, denoted as r, is a collection of tuples for a given relational schema at a specific point in time. A relation state r to the relations schema R (A1, A2,..., An) denoted by r(R) is a set of n-tuples R{t1,t2,...tm}. Where each n-tuple is an ordered list of n values. Each vi belongs to domain (Ai) or contains null values.
Referential Integrity
- Referential integrity: A foreign key must have a matching primary key or be null. This maintains correspondence between rows in tables.
- Examples:
- Customer(CustID, CustName)
- Order(OrderID, CustID, OrderDate)
- The CustID in the Order table must match a valid CustID in the Customer table.
Enterprise Constraints
- Enterprise constraints are additional rules specified by users or database administrators.
- Examples:
- A class can have a maximum of 30 students.
- A teacher can teach a maximum of four classes per semester.
- An employee cannot take part in more than five projects.
- The salary of an employee cannot exceed the salary of the employee's manager.
Codd's Rules
- A relational database management system (RDBMS) is a database management system (DBMS) based on the relational model.
- Data storage is in tables and relationships are also stored in tables.
- Codd's rules define the requirements for RDBMS. 12 rules are commonly used (0-12).
Rule 0
- Subsequent rules are based on the notation that a database must use its relational facilities exclusively to manage the database.
Rule 1: Information Rule
- All information in the database is represented in one way—table values.
- All information (table and column names, data types) should be available in a table.
Rule 2: Guaranteed Access Rule
- Each unique piece of data is accessible via table name, primary key and attribute.
- All data is uniquely identified.
Rule 3: Systematic Treatment of Null Values
- Null values represent missing, inapplicable, or unknown data.
- They need uniform treatment in the database.
Rule 4: Database Description Rule
- Database structure is represented like ordinary data, accessed using a common language (e.g., SQL).
- The structure description is stored in an online catalog (data dictionary).
Rule 5: Comprehensive Data Sublanguage
- At least one language must support Data Definition (create, insert, update), View Definition, Data Manipulation (alter, delete, truncate), Integrity Constraints (primary key, foreign key, null values), Authorization (GRANT, REVOKE) and Transaction boundaries (begin, commit, rollback).
Rule 6: View Updating
- Views of the database must be updated if supported by the system.
Rule 7: High-level Insert, Update, and Delete
- The operations on rows in tables, including set operations must also be supported.
Rule 8: Physical Data Independence
- Physical schema changes (storage structures, devices, indexing) should not impact the logical schema.
Rule 9: Logical Data Independence Rule
- Logical schema changes (entities, attributes, relationships) should not require changes to external schemas or user views.
Rule 10: Integrity Independence Rule
- Data integrity is maintained during the entire life cycle. Ensure that correct data types are used and check constraints are applied.
Rule 11: Distribution Independence Rule
- Data distribution across multiple sites should not impact application programs or queries.
Rule 12: Non-subversion
- Database structure modification should occur only through the defined multiple row data base language (SQL) not through lower level operations.
Relational Constraints
- Key Constraints: Key attribute values must be unique within a tuple.
- Domain Constraints: Attributes relate to atomic values from predefined domains.
Integrity Constraints
- Entity Integrity Constraints: Primary keys cannot be null and must be unique within a relation.
- Referential Integrity Constraints: Referenced data in one table must exist in the referenced table.
Normalization
- Normalization is a technique of organizing data in a database.
Functional Dependencies
- Functional dependency(FD): A link between two sets of attributes in a relation. A set of attributes A functionally determines another set B (A→B).
- Determinant: The attribute on the left side of the arrow (A)
- Dependent: The attribute on the right side of the arrow(B).
Functional Dependencies(Continued)
- K is a superkey if K→ R where R is the relation schema. K is a candidate key if k→ R.
Functional Dependencies (Continued)
- Functional Dependencies allow expressing constraints not possible using super keys.
Functional Dependencies Continued (Example)
- A set of FDs
- {ID} -> {First,Last}
- {ID,modCode} ->{First, Last,modName}
- {modCode} -> {modName}
Functional Dependency Types
- Trivial FD: Y is a subset of X. X → Y
- Non-trivial FD: Y is not a subset of X. X → Y
- Completely non-trivial FD: Intersection of X and Y is empty Þ. X → Y
Database Normalization
- This process involves dividing larger tables into smaller ones and defining relationships between them to reduce redundancy and improve data integrity.
Database Anomalies
- Insertion Anomaly: Attempt to insert data if other values are not available.
- Deletion Anomaly: Deleting a tuple results in unintended data loss.
- Update Anomaly: Changing data requires multiple updates in multiple entries.
Normal Form
1NF (Atomicity): attributes contain only atomic values
2NF (Remove Partial Dependency): no partial dependencies
3NF (Remove Transitive Dependency): No transitive dependencies
BCNF (Boyce-Codd Normal Form)
4NF (Fourth Normal Form)
1NF (First Normal Form)
- Attributes must contain only indivisible atomic values.
2NF (Second Normal Form)
- In 1NF, there should be no partial dependencies.
3NF (Third Normal Form)
- In 2NF, there should be no transitive dependencies.
Boyce-Codd Normal Form (BCNF)
- A relation is in BCNF if the left side of any dependency (determinant) is a candidate key.
Fourth Normal Form (4NF)
- No multi-valued dependencies in relations.
Query Processing
- Includes translation of high-level queries (e.g., SQL) into low-level operations. Queries can use various access routines.
- Stages: scanning, parsing, optimization, code generation, execution, and analysis and transformation of relational expressions, using different algorithms for operations (e.g., selection, join).
Evaluation of Expressions
- Materialization: Generate intermediate results and store them on disk; repeat for the query.
- Pipelining: Pass tuples to parents in parallel as operations run.
Measure of Query Cost
- Cost is measured as overall elapsed time for answering a query.
- Factors considered: Disc access, CPU, network communication, etc.
- Costs can be estimated from statistics.
Selection and Join Operations
-
File Scan: locates records fulfilling a selection condition.
- Linear search: Checks each record
- Binary search: Faster when data is sorted
-
Index Scan: uses an index for faster access.
- Primary index scan: For equality conditions
-
Hash Key: direct access to records
Join Operations
- Various algorithms for implementing joins:
- Nested-loop join
- Block nested-loop join
- Indexed nested-loop join
###References
- Various texts on Database Management Systems.
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Description
This quiz explores the key concepts of relational databases, including the definition of a relational model, tuples, domains, and relational schemas. It also covers Codd's rules and database normalization principles. Test your understanding of these foundational topics in relational database design.