Normalization in DBMS
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Questions and Answers

What is the primary goal of converting a database table from 2NF to 3NF?

  • Add more functional dependencies
  • Increase redundancy within the database
  • Eliminate transitive dependencies (correct)
  • Improve the performance of JOIN operations

Which functional dependency is represented in the Enrollments Relation after conversion to 3NF?

  • Instructor → InstructorEmail
  • StudentID, CourseID → CourseName (correct)
  • CourseID → Instructor
  • InstructorEmail → Instructor

Which of the following is NOT a benefit of converting a database to 3NF?

  • Increased complexity (correct)
  • Reduced redundancy
  • Improved data integrity
  • Enhanced clarity

In the context of lossless join decomposition, which characteristics are preferred?

<p>Data integrity and efficiency (A)</p> Signup and view all the answers

Which of the following SQL JOIN types returns all records from the left table and the matched records from the right table?

<p>LEFT OUTER JOIN (B)</p> Signup and view all the answers

Which type of SQL JOIN retrieves matching rows from both tables based on a related column?

<p>INNER JOIN (A)</p> Signup and view all the answers

What is the key distinction between a Natural Join and an Inner Join?

<p>Natural joins automatically use all columns with the same names to create the join. (C)</p> Signup and view all the answers

In the given relations, what would the result of a FULL OUTER JOIN between the Enrollments and Courses tables yield?

<p>All rows from both tables, showing NULLs for unmatched rows (D)</p> Signup and view all the answers

What is the primary reason for decomposing a table to achieve 2NF?

<p>To eliminate partial dependencies. (B)</p> Signup and view all the answers

Which functional dependency indicates a transitive dependency?

<p>CourseName → Instructor (C)</p> Signup and view all the answers

Which statement is true about a relation in 3NF?

<p>No non-key attribute depends on another non-key attribute. (D)</p> Signup and view all the answers

When performing a natural join between two tables, what condition must be met?

<p>At least one common attribute must exist. (B)</p> Signup and view all the answers

Which type of join is used to return all records from the left table and matched records from the right table?

<p>Left outer join (C)</p> Signup and view all the answers

What characteristic distinguishes outer joins from inner joins?

<p>Outer joins include unmatched records from both tables. (A)</p> Signup and view all the answers

What does lossless join decomposition ensure?

<p>The original table can be reconstructed from the decomposed tables without losing information. (D)</p> Signup and view all the answers

In the given functional dependency 'StudentID, CourseID → CourseName', which attributes are candidate keys?

<p>Both StudentID and CourseID together (B)</p> Signup and view all the answers

What is the primary function of the EQUI JOIN in SQL?

<p>To create a JOIN based on matching column values of the two tables. (A)</p> Signup and view all the answers

Which type of SQL JOIN retains all records from the left table and only matched records from the right?

<p>Left Outer Join (C)</p> Signup and view all the answers

What distinguishes a Natural Join from an Inner Join in SQL?

<p>Natural Join uses attribute names as conditions for joining and must have matching data types. (B)</p> Signup and view all the answers

How many types of Outer Joins are mentioned?

<p>Four (C)</p> Signup and view all the answers

What is a key characteristic of conflict serializability in a schedule?

<p>It allows operations to be rearranged as long as the final result is the same. (C)</p> Signup and view all the answers

Which statement best describes the purpose of a functional dependency in database design?

<p>It indicates the integral relationships between different attributes in tables. (A)</p> Signup and view all the answers

What results from a schedule that is not conflict serializable?

<p>It cannot guarantee a consistent state of the database. (B)</p> Signup and view all the answers

What is the result of performing a Full Outer Join between two tables?

<p>Records from both tables, including those with no matches. (A)</p> Signup and view all the answers

Flashcards

3NF

A normal form in database design that further reduces redundancy by removing transitive dependencies.

Transitive Dependency

A situation where one attribute determines another attribute, which in turn determines a third attribute.

2NF

A normal form that eliminates redundant data by removing partial dependencies.

Database Normalization

A process of organizing data in a database to reduce data redundancy and dependency issues.

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Functional Dependency

A constraint between attributes of a relation where the value of one attribute determines the value of another.

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Decomposition

Breaking down a table (relation) into multiple tables to remove redundancy.

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Redundancy

Storing the same data multiple times in a database.

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Data Integrity

Maintaining accuracy and consistency of data in a database.

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Candidate Key

A minimal set of attributes that uniquely identifies each row in a relation. A candidate key cannot be further reduced without losing its uniqueness property.

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Partial Dependency

A non-key attribute depends on only a part of the primary key, not the whole key. This creates redundancy and violates 2NF.

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Super Key

Any set of attributes that can uniquely identify a tuple in a relation. It includes candidate keys and any superset of a candidate key.

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Prime Attribute

An attribute that is part of any candidate key.

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Is R in 2NF?

No, R is not in 2NF because it has a partial dependency. CourseName depends only on CourseID, not the whole key (StudentID, CourseID).

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Decompose R into 2NF

Create two tables:

  1. Enrollments(StudentID, CourseID)
  2. Courses(CourseID, CourseName, Instructor)
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Is R in 3NF?

No, R is not in 3NF because it has a transitive dependency. CourseName depends on CourseID, which in turn depends on Instructor.

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Write-Read Dependency

A relationship between two transactions where one transaction's write operation precedes another transaction's read operation on the same data item.

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Dependency Graph

A visual representation of dependencies between transactions, showing how they access and modify shared data.

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View Serializable Schedule

A schedule that produces the same result as some serial execution of the transactions.

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Conflict Serializable Schedule

A schedule that can be transformed into an equivalent serial schedule by swapping conflicting operations.

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JOIN (SQL)

An SQL clause that combines data from multiple tables based on a shared column or condition.

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INNER JOIN

A JOIN operation that retrieves only rows where the join condition is met in both tables.

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EQUI JOIN

A type of INNER JOIN where the join condition is based on the equality of specified columns.

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NATURAL JOIN

An INNER JOIN that automatically joins based on columns with the same name and data type in both tables.

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Study Notes

Normalization in DBMS

  • Normalization is the process of arranging data in a database to reduce redundancy and improve data integrity.
  • It involves dividing a large table into smaller ones and defining relationships between them.
  • Normalization helps eliminate unwanted features like insertion, update, and deletion anomalies.

Need of Normalization

  • Eliminating anomalies is the primary goal of normalization.
  • Redundancy, data integrity issues, and difficulties scaling a database are also addressed.
  • Normalization provides a structured approach to database design.

Data Modification Anomalies

  • Insertion Anomaly: Cannot insert a new tuple in a relationship due to missing data.
  • Deletion Anomaly: Deleting data unintentionally removes other important data.
  • Update Anomaly: Updating a single data value requires changes on multiple rows.

Types of Normal Forms

  • Normalization works through a series of stages called normal forms.
  • Normal forms apply to individual relations.
  • A relation is said to be in a particular normal form if it satisfies specific constraints.

First Normal Form (1NF)

  • A table is in 1NF if each column contains only atomic (indivisible) values.
  • Repeating groups or arrays in columns are not allowed.
  • All entries in a column must be of the same data type.

Second Normal Form (2NF)

  • A table is in 2NF if it's in 1NF, and every non-key attribute is fully functionally dependent on the entire primary key.
  • There are no partial dependencies on the primary key.

Third Normal Form (3NF)

  • A table is in 3NF if it's in 2NF, and there are no transitive dependencies.
  • A non-key attribute must not depend on another non-key attribute.

Boyce-Codd Normal Form (BCNF)

  • A stronger definition of 3NF.
  • A relation is in BCNF if for every non-trivial functional dependency X→Y, X is a superkey.

Fourth Normal Form (4NF)

  • A relation is in 4NF if it's in BCNF and there are no multi-valued dependencies besides a candidate key.
  • No multi-valued dependencies are allowed except on candidate keys.

Transaction in DBMS

  • A transaction is a logical unit of work consisting of operations which are all logically related.
  • Main operations: read and write.

ACID Properties of Transaction

  • Atomicity: The transaction is completed completely or not at all.
  • Consistency: The database's integrity constraints are maintained.
  • Isolation: Multiple transactions can occur simultaneously without problems.
  • Durability: Changes made by a successful transaction are saved permanently to disk.

Concurrency Problems in DBMS

  • In a DBMS, when multiple transactions execute concurrently, there may be issues.
  • These issues arise from a lack of control regarding how transactions are handled simultaneously.
  • Possible Problems: Dirty Read, Unrepeatable read,Lost Update, Phantom Read.

Types of Concurrency Control Problem

  • Dirty read.
  • Unrepeatable read.
  • Lost update problem.
  • Phantom read problem.

Serializability in DBMS

  • The order in which multiple transactions execute in a DBMS.
  • Serial schedule: Operations of transactions occur one after another.
  • Non-serial schedule: Operations of transactions can be interleaved.
  • Conflict Serializable: a non-serial schedule that can be converted into a serial schedule by swapping non-conflicting operations
  • View Serializable: if a schedule is conflict serializable, it is view serializable

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Description

This quiz covers the concept of normalization in databases, focusing on its importance and the various types of anomalies it addresses. It delves into the structured approach normalization provides, eliminating redundancy and improving data integrity. Test your knowledge on the significance and methodology of normalization in Database Management Systems.

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