Relational Database Model Quiz
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Questions and Answers

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.

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?

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.

<p>Relations must be homogeneous in columns, contain distinct rows, and have unordered rows and columns with distinct names.</p> Signup and view all the answers

What does a relational schema represent?

<p>A relational schema specifies a relation's name, its attributes, and the domain for each attribute.</p> Signup and view all the answers

How does first normal form (1NF) apply to a relational table?

<p>First normal form (1NF) requires that all values in a table must be atomic, meaning each column must contain only indivisible values.</p> Signup and view all the answers

What does the term 'functional dependency' mean in the realm of database normalization?

<p>Functional dependency describes a relationship where one attribute uniquely determines another attribute within a relation.</p> Signup and view all the answers

Why is it important that all rows in a relational table are distinct?

<p>Distinct rows ensure that each record represents a unique entity, avoiding redundancy and promoting data integrity.</p> Signup and view all the answers

What does Rule 0 of Codd's rules specify about relational databases?

<p>Rule 0 states that a database must exclusively use its relational facilities to manage data to be considered relational.</p> Signup and view all the answers

Explain the Information Rule (Rule 1) regarding how information is represented in an RDBMS.

<p>Rule 1 states that all information in an RDBMS must be represented as values in tables, including metadata like table names and column data types.</p> Signup and view all the answers

What are the three components needed to access a unique piece of data according to Rule 2?

<p>According to Rule 2, a unique piece of data can be accessed using the table name, primary key (row), and attribute (column).</p> Signup and view all the answers

What is the importance of systematic treatment of NULL values as stated in Rule 3?

<p>Rule 3 states that NULL values must be uniformly treated, as a NULL can indicate missing, unknown, or inapplicable data.</p> Signup and view all the answers

How does Codd's rule framework impact the design of relational databases?

<p>Codd's rules provide a set of principles that guide the creation, management, and operation of relational databases to ensure data integrity and accessibility.</p> Signup and view all the answers

In what way does Rule 1 contribute to the basic requirements of the relational model?

<p>Rule 1 contributes by ensuring all data is stored in a tabular format, thus maintaining a consistent and unified structure for data representation.</p> Signup and view all the answers

Why is the definition of a primary key important as per Rule 2?

<p>The primary key is vital because it uniquely identifies each row in a table, ensuring that every data element can be accessed reliably.</p> Signup and view all the answers

What would happen if a database management system does not follow Codd's rules?

<p>If a DBMS does not follow Codd's rules, it may not function as a true relational database, leading to data integrity issues and challenges in data accessibility.</p> Signup and view all the answers

What does the term 'full functional dependency' refer to in the context of Second Normal Form?

<p>It refers to a situation where non-primary-key attributes are fully dependent on the entire primary key and not just a part of it.</p> Signup and view all the answers

Explain the significance of moving from First Normal Form (1NF) to Second Normal Form (2NF).

<p>The transition to 2NF ensures that databases are free from partial dependencies, which helps eliminate redundancy.</p> Signup and view all the answers

Identify two non-primary-key attributes in the ClientRental relation.

<p>One non-primary-key attribute is 'rent', and another is 'oName'.</p> Signup and view all the answers

What does the abbreviation 'CR' in the 'ClientNo' column likely signify?

<p>'CR' likely signifies 'Client Rental', indicating it relates to rental clients.</p> Signup and view all the answers

How does the attribute 'rentFinish' contribute to determining rental agreements?

<p>'rentFinish' indicates the end date of the rental period, essential for managing lease agreements.</p> Signup and view all the answers

What can be inferred about the rental rates from the ClientRental data provided?

<p>The rental rates vary, indicating differences in property value or tenant agreements.</p> Signup and view all the answers

Why is it important that every non-primary-key attribute is fully functionally dependent on the primary key in 2NF?

<p>It's important to prevent anomalies such as update and deletion anomalies, ensuring data integrity.</p> Signup and view all the answers

In the ClientRental relationship, what does the presence of multiple records for a single 'ClientNo' indicate?

<p>It indicates that a client can have multiple rental agreements over time.</p> Signup and view all the answers

What is the cost calculation for a primary index scan for equality?

<p>The cost is calculated as the height traversed in the index to locate the block pointer plus one for the block of the primary key that is transferred for access.</p> Signup and view all the answers

List three algorithms that can be used to implement join operations.

<p>The three algorithms are nested-loop join, block nested-loop join, and indexed nested-loop join.</p> Signup and view all the answers

What distinguishes a hash key retrieval from a primary index scan?

<p>A hash key retrieval retrieves a single record directly, while a primary index scan may require traversing multiple levels in the index.</p> Signup and view all the answers

Why are search algorithms limited in their ability to use an index?

<p>Search algorithms are limited because the selection condition must be on the search-key of the index.</p> Signup and view all the answers

What is the additional cost associated with hash key retrieval?

<p>The additional cost is the lock transfer needed for finding the hash target plus one.</p> Signup and view all the answers

What is the primary difference between materialization and pipelining in evaluating expressions?

<p>Materialization stores results on disk, while pipelining passes tuples to parent operations during execution.</p> Signup and view all the answers

Why is disk access typically considered the predominant cost in query execution?

<p>Disk transfer is slow and relatively easy to estimate, leading to significant time costs in query execution.</p> Signup and view all the answers

How is the cost of searching records satisfying a condition defined in linear search?

<p>The cost is defined as the number of blocks in the database, denoted as Nb.</p> Signup and view all the answers

What is the cost of searching for a key attribute value using linear search?

<p>The cost is approximately Nb/2, as on average half the file needs to be traversed.</p> Signup and view all the answers

In what scenario is binary search applicable within selection operations?

<p>Binary search is applicable when the selection involves an equality comparison on an ordered attribute.</p> Signup and view all the answers

How is the cost for binary search estimated?

<p>The cost is estimated as the cost of locating the first tuple through binary search plus the sequence of other blocks that satisfy the condition.</p> Signup and view all the answers

What two values are considered for calculating the cost of binary search?

<p>The two values are log2(Nb) and the average number of tuples with the same value divided by the blocking factor.</p> Signup and view all the answers

What is considered for measuring the total elapsed time of answering a query?

<p>Factors like the number of seeks, average seek cost, and the number of blocks read and written are considered.</p> Signup and view all the answers

What is the definition of transitive dependency in relation to normalization?

<p>Transitive dependency occurs when a non-prime attribute is functionally dependent on another non-prime attribute, via a prime attribute.</p> Signup and view all the answers

Is it possible for a relation to be in 3NF if it contains transitive dependencies?

<p>No, a relation cannot be in 3NF if it has transitive dependencies between non-prime attributes.</p> Signup and view all the answers

In the given relation Stud_info, what is the transitive dependency identified?

<p>The transitive dependency is that rno -&gt; zip and zip -&gt; city leads to rno -&gt; city.</p> Signup and view all the answers

How would you convert the relation Stud_info to satisfy 3NF?

<p>The relation would be converted to Stud_info {rno, name, marks, dob, zip} and Zip_city {zip, city}.</p> Signup and view all the answers

What must be true for a relation to qualify as being in Third Normal Form (3NF)?

<p>It must be in Second Normal Form (2NF) and have no transitive dependencies of non-prime attributes on candidate keys.</p> Signup and view all the answers

What are the functional dependencies in the Client relation?

<p>The functional dependency is clientNo -&gt; cName, where clientNo is the primary key.</p> Signup and view all the answers

Can a relation be in Boyce-Codd Normal Form (BCNF) if it is not in 3NF?

<p>No, a relation must be in 3NF in order to potentially qualify for BCNF.</p> Signup and view all the answers

What does a candidate key represent in a database relation?

<p>A candidate key is a minimal set of attributes that can uniquely identify a record in a relation.</p> Signup and view all the answers

What defines a primary key in the context of the Rental relation?

<p>The primary key for the Rental relation is the combination of clientNo, propertyNo, rentStart, and rentFinish.</p> Signup and view all the answers

Explain how 3NF handles non-trivial functional dependencies.

<p>In 3NF, for any non-trivial functional dependency X -&gt; A, either X must be a super key or A must be a prime attribute.</p> Signup and view all the answers

What transformation does propertyNo undergo in the relation PropertyOwner?

<p>propertyNo is a primary key that functionally determines pAddress, rent, ownerNo, and oName.</p> Signup and view all the answers

What is the significance of a super key in database normalization?

<p>A super key is a set of one or more attributes that, when taken collectively, can uniquely identify a tuple in a relation.</p> Signup and view all the answers

In which normalization form is a relation that has a functional dependency where the left-hand side is not a candidate key?

<p>It is likely not in BCNF, as BCNF requires the left-hand side of every dependency to be a candidate key.</p> Signup and view all the answers

What must be done if a relation in 2NF has transitive dependencies?

<p>Transitive dependencies must be removed by placing the dependent attributes in a new relation along with a copy of the determinant.</p> Signup and view all the answers

What relationship is formed by the functional dependency ownerNo -> oName?

<p>This is a transitive dependency since ownerNo determines oName within the PropertyOwner relation.</p> Signup and view all the answers

Why is it important to convert relations to 3NF?

<p>Converting to 3NF eliminates redundancy and prevents issues like update anomalies within the database.</p> Signup and view all the answers

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.

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