dbms assignment solution

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• DBMS Tutorial - Database Management System

Basic of DBMS

• Introduction of DBMS (Database Management System) - Set 1
• History of DBMS
• Advantages of Database Management System
• Disadvantages of DBMS
• Application of DBMS
• Need for DBMS
• DBMS Architecture 1-level, 2-Level, 3-Level
• Difference between File System and DBMS
• Entity Relationship Model
• Introduction of ER Model
• Structural Constraints of Relationships in ER Model
• Difference between entity, entity set and entity type
• Difference between Strong and Weak Entity
• Generalization, Specialization and Aggregation in ER Model
• Recursive Relationships in ER diagrams
• Relational Model
• Introduction of Relational Model and Codd Rules in DBMS
• Types of Keys in Relational Model (Candidate, Super, Primary, Alternate and Foreign)
• Anomalies in Relational Model
• Mapping from ER Model to Relational Model
• Strategies for Schema design in DBMS
• Relational Algebra
• Introduction of Relational Algebra in DBMS
• Basic Operators in Relational Algebra
• Extended Operators in Relational Algebra
• SQL Joins (Inner, Left, Right and Full Join)
• Join operation Vs Nested query in DBMS
• Tuple Relational Calculus (TRC) in DBMS
• Domain Relational Calculus in DBMS
• Functional Dependencies
• Functional Dependency and Attribute Closure
• Armstrong's Axioms in Functional Dependency in DBMS
• Equivalence of Functional Dependencies
• Canonical Cover of Functional Dependencies in DBMS
• Normalisation
• Introduction of Database Normalization
• Normal Forms in DBMS
• First Normal Form (1NF)
• Second Normal Form (2NF)
• Boyce-Codd Normal Form (BCNF)
• Introduction of 4th and 5th Normal Form in DBMS
• The Problem of Redundancy in Database
• Database Management System | Dependency Preserving Decomposition
• Lossless Decomposition in DBMS
• Lossless Join and Dependency Preserving Decomposition
• Denormalization in Databases
• Transactions and Concurrency Control
• Concurrency Control in DBMS
• ACID Properties in DBMS
• Implementation of Locking in DBMS
• Lock Based Concurrency Control Protocol in DBMS
• Graph Based Concurrency Control Protocol in DBMS
• Two Phase Locking Protocol
• Multiple Granularity Locking in DBMS
• Polygraph to check View Serializability in DBMS
• Log based Recovery in DBMS
• Timestamp based Concurrency Control
• Dirty Read in SQL
• Types of Schedules in DBMS
• Conflict Serializability in DBMS
• Condition of schedules to View-equivalent
• Recoverability in DBMS
• Precedence Graph for Testing Conflict Serializability in DBMS
• Database Recovery Techniques in DBMS
• Starvation in DBMS
• Deadlock in DBMS
• Types of Schedules based Recoverability in DBMS
• Why recovery is needed in DBMS
• Indexing, B and B+ trees
• Indexing in Databases - Set 1
• Introduction of B-Tree
• Insert Operation in B-Tree
• Delete Operation in B-Tree
• Introduction of B+ Tree
• Bitmap Indexing in DBMS
• Inverted Index
• Difference between Inverted Index and Forward Index
• SQL Queries on Clustered and Non-Clustered Indexes

File organization

• File Organization in DBMS - Set 1
• File Organization in DBMS | Set 2
• File Organization in DBMS | Set 3

DBMS Interview questions and Last minute notes

• Last Minute Notes - DBMS
• Commonly asked DBMS interview questions
• Commonly asked DBMS interview questions | Set 2

DBMS GATE Previous Year Questions

• Database Management System - GATE CSE Previous Year Questions
• Database Management Systems | Set 2
• Database Management Systems | Set 3
• Database Management Systems | Set 4
• Database Management Systems | Set 5
• Database Management Systems | Set 6
• Database Management Systems | Set 7
• Database Management Systems | Set 8

DBMS Tutorial – Database Management System

Database Management System is a software or technology used to manage data from a database. Some popular databases are MySQL, Oracle, MongoDB, etc. DBMS provides many operations e.g. creating a database, Storing in the database, updating an existing database, delete from the database. DBMS is a system that enables you to store, modify and retrieve data in an organized way. It also provides security to the database.

In this Database Management System tutorial you’ll learn basic to advanced topics like ER model, Relational Model, Relation Algebra, Normalization, File Organization, etc.

‘Recent Articles’ on DBMS !

• Introduction
• File Organization
• Advanced Topics
• Quick Links

Introduction :

• DBMS Introduction | Set 1
• DBMS Introduction | Set 2 (3-Tier Architecture)
• DBMS Architecture 2-level 3-level
• Need For DBMS
• Data Abstraction and Data Independence
• Database Objects
• Multimedia Database
• Use of DBMS in System Software
• Choice of DBMS | Economic factors

Entity Relationship Model :

• Enhanced ER Model
• Minimization of ER Diagram
• ER Model: Generalization, Specialization and Aggregation
• Recursive Relationships

Relational Model :

• Relational Model and CODD Rules
• Keys in Relational Model (Candidate, Super, Primary, Alternate and Foreign)
• Number of possible Superkeys

>> Quiz on ER and Relational Model

Relational Algebra :

• Basic Operators
• Extended Operators
• Inner Join vs Outer Join
• How to solve Relational Algebra Problems for GATE
• How to Solve Relational Algebra Problems for GATE

Functional Dependencies :

• Finding Attribute Closure and Candidate Keys using Functional Dependencies
• Armstrong’s Axioms in Functional Dependency
• Canonical Cover

Normalisation :

• Normal Forms
• Dependency Preserving Decomposition
• Lossless Join Decomposition
• LossLess Join and Dependency Preserving Decomposition
• How to find the Highest Normal Form of a Relation
• DBMS | Data Replication

>> Quiz on Normal Forms

Transactions and Concurrency Control :

• ACID Properties
• Concurrency Control -Introduction
• Concurrency Control Protocol | Graph Based Protocol
• Concurrency Control Protocol | Two Phase Locking (2-PL)-I
• Concurrency Control Protocol | Two Phase Locking (2-PL)-II
• Concurrency Control Protocol | Two Phase Locking (2-PL)-III
• Concurrency Control Protocol | Multiple Granularity Locking
• Concurrency Control Protocol | Thomas Write Rule
• Concurrency Control | Polygraph to check View Serializabilty
• DBMS | Log based recovery
• Timestamp Ordering Protocols
• Introduction to TimeStamp and Deadlock Prevention Schemes
• Conflict Serializability
• View Serializability
• How to test if two schedules are View Equal or not ?
• Recoverability of Schedules
• Precedence Graph for testing Conflict Serializabilty
• Transaction Isolation Levels in DBMS
• Database Recovery Techniques

>> Quiz on Transactions and concurrency control

Indexing, B and B+ trees :

• Indexing and its Types
• B-Tree | Set 1 (Introduction)
• B-Tree | Set 2 (Insert)
• B-Tree | Set 3 (Delete)
• B+ Tree (Introduction)
• Bitmap Indexing

>> Practice questions on B and B+ Trees >> Quizzes on Indexing, B and B+ Trees

File Organization:

• File Organization – Set 1
• File Organization – Set 2 (Hashing in DBMS)
• File Organization – Set 3
• File Organization – Set 4

>> Quiz on File structures

Advanced Topics :

• Query Optimization
• How to store a password in database?
• Storage Area Networks
• Network attached storage
• Data Warehousing
• Data Warehouse Architecture
• Characteristics and Functions of Data warehouse
• Difficulties of Implementing Data Warehouses
• Data Mining
• Data Mining | KDD process
• Data Mining | Sources of Data that can be mined
• ODBMS – Definition and overview
• Architecture of HBase
• Apache HBase
• Architecture and Working of Hive
• Apache Hive
• Difference between Hive and HBase

SQL Tutorial

• SQL | Tutorials
• Quiz on SQL

DBMS practices questions :

• Database Management Systems | Set 1
• Database Management Systems | Set 9
• Database Management Systems | Set 10
• Database Management Systems | Set 11

Advantages of DBMS

There are some following reasons to learn DBMS:

• Organizing and management of data: DBMS helps in managing large amounts of data in an organized manner. It provides features like create, edit, delete, and read.
• Data Security: DBMS provides Security to the data from the unauthorized person.
• Improved decision-making: From stored data in the database we can generate graphs, reports, and many visualizations which helps in decision-making.
• Consistency: In a traditional database model all things are manual or inconsistent, but DBMS enables to automation of the operations by queries.

FAQs on Database Management System(DBMS)

Q.1 what is database.

A database is a collection of organized data which can easily be created, updated, accessed, and managed. Records are kept maintained in tables or objects. A tuple (row) represents a single entry in a table. DBMS manipulates data from the database in the form of queries given by the user.

Q.2 What are different languages present in DBMS?

DDL (Data Definition Language) : These are the collection of commands which are required to define the database. E.g., CREATE, ALTER, RENAME, TRUNCATE, DROP, etc. DML (Data Manipulation Language) : These are the collection of commands which are required to manipulate the data stored in a database. E.g., SELECT, UPDATE, INSERT, DELETE, etc. DCL (Data Control Language) : These are the collection of commands which are dealt with the user permissions and controls of the database system. E.g, GRANT, and REVOKE. TCL (Transaction Control Language) : These are the collection of commands which are required to deal with the transaction of the database. E.g., COMMIT, ROLLBACK, and SAVEPOINT.

Q.3 What are the ACID properties in DBMS?

The full form of ACID is Atomicity, Consistency, Isolation, and Durability these are the properties of DBMS that ensure a safe and secure way of sharing data among multiple users. A – Atomic: All changes to the data must be performed successfully or not at all. C – Consistent: Data must be in a consistent state before and after the transaction. I – Isolated: No other process can change the data while the transaction is going on. D – Durable: The changes made by a transaction must persist.

Q.4 What are the Advantages of DBMS?

The followings are the few advantages of DBMS : Data Sharing: Data from the same database can be shared by multiple users at the same time. Integrity: It allows the data stored in an organized and refined manner. Data Independence: It allows changing the data structure without changing the composition of executing programs. Data Security: DBMS comes with the tools to make the storage and transfer of databases secure and reliable. Authentication and encryption are the tools used in DBMS for data security.

Quick Links :

• Last Minutes Notes(LMNs) on DBMS
• Quizzes on DBMS !
• ‘Practice Problems’ on DBMS !
• DBMS interview questions | Set 1
• DBMS interview questions | Set 2

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10 Beginner SQL Practice Exercises With Solutions

• online practice
• sql practice

Table of Contents

The Dataset

Exercise 1: selecting all columns from a table, exercise 2: selecting a few columns from a table, exercise 3: selecting a few columns and filtering numeric data in where, exercise 4: selecting a few columns and filtering text data in where, exercise 5: selecting a few columns and filtering data using two conditions in where, exercise 6: filtering data using where and sorting the output, exercise 7: grouping data by one column, exercise 8: grouping data by multiple columns, exercise 9: filtering data after grouping, exercise 10: selecting columns from two tables, that was fun now, time to do sql practice on your own.

Solve these ten SQL practice problems and test where you stand with your SQL knowledge!

This article is all about SQL practice. It’s the best way to learn SQL. We show you ten SQL practice exercises where you need to apply essential SQL concepts. If you’re an SQL rookie, no need to worry – these examples are for beginners.

Use them as a practice or a way to learn new SQL concepts. For more theoretical background and (even more!) exercises, there’s our interactive SQL Basics course. It teaches you how to select data from one or more tables, aggregate and group data, write subqueries, and use set operations. The course comprises 129 interactive exercises so there is no lack of opportunities for SQL practice, especially if you add some of the 12 ways of learning SQL online to it.

Speaking of practice, let’s start with our exercises!

The question is always where to find data for practicing SQL. We’ll use our dataset for all exercises. No need to limit yourself to this, though – you can find other free online datasets for practicing SQL .

Our dataset consists of two tables.

The table distribution_companies lists movie distribution companies with the following columns:

• id – The ID of the distribution company. This is the primary key of the table.
• company_name – The name of the distribution company.

The table is shown below.

The second table is movies . These are the columns:

• id – The ID of the movie. This is the primary key of the table.
• movie_title – The movie title.
• imdb_rating – The movie rating on IMDb.
• year_released – The year the movie was released.
• budget – The budget for the movie in millions of dollars.
• box_office – The earnings of the movie in millions of dollars.
• distribution_company_id – The ID of the distribution company, referencing the table distribution_companies (foreign key).
• language – The language(s) spoken in the movie.

Exercise: Select all data from the table distribution_companies .

Solution explanation: Select the data using the SELECT statement. To select all the columns, use an asterisk ( * ). The table from which the data is selected is specified in the FROM clause.

Solution output:

Exercise: For each movie, select the movie title, the IMDb rating, and the year the movie was released.

Solution explanation: List all the columns needed ( movie_title , imdb_rating , and year_released ) in the SELECT statement, separated by the comma. Reference the table movies in the FROM clause.

Exercise: Select the columns movie_title and box_office from the table movies . Show only movies with earnings above $300 million.

Solution explanation: List the columns in SELECT and reference the table in FROM . Use a WHERE clause to filter the data – write the column box_office and use the ‘greater than’ operator ( > ) to show only values above $300 million.

Exercise: Select the columns movie_title , imdb_rating , and year_released from the table movies . Show movies that have the word ‘Godfather’ in the title.

Solution explanation: List the columns in SELECT and reference the table in the FROM clause. Use a WHERE clause to filter the data. After writing the column name, use the LIKE logical operator to look for ‘Godfather’ in the movie title, written in single quotes. To find the word anywhere in the movie title, place the wildcard character ( % ) before and after the word.

Exercise: Select the columns movie_title , imdb_rating , and year_released from the table movies . Show movies that were released before 2001 and had a rating above 9.

Solution explanation: List the columns in SELECT and reference the table in FROM . Set the first condition that the year released is before 2001 using the ‘less than’ ( < ) operator. To add another condition, use the AND logical operator. Use the same logic as the first condition, this time using the ‘greater than’ operator with the column imdb_rating .

Exercise: Select the columns movie_title , imdb_rating , and year_released from the table movies . Show movies released after 1991. Sort the output by the year released in ascending order.

Solution explanation: List the columns in SELECT and reference the table in FROM . Filter the data with WHERE by applying the ‘greater than’ operator to the column year_released . To sort the data, use an ORDER BY clause and write the column name by which you wish to sort. The type of sorting is specified by writing ASC (ascending) or DESC (descending). If the type is omitted, the output is sorted in ascending order by default.

Exercise: Show the count of movies per each language category.

Solution explanation: Select the column language from the table movies . To count the number of movies, use the aggregate function COUNT() . Use the asterisk ( * ) to count the rows, which equals the count of movies. To give this column a name, use the AS keyword followed by the desired name. To show the count by language, you need to group the data by it, so write the column language in the GROUP BY clause.

Exercise: Show the count of movies by year released and language. Sort results by the release date in ascending order.

Solution explanation: List the columns year_released and language from the table movies in SELECT . Use COUNT(*) to count the number of movies and give this column a name using the AS keyword. Specify the columns by which you want to group in the GROUP BY clause. Separate each column name with a comma. Sort the output using ORDER BY with the column year_released and the ASC keyword.

Exercise: Show the languages spoken and the average movie budget by language category. Show only the languages with an average budget above $50 million.

Solution explanation: Select the column language from the table movies . To compute the average budget, use the aggregate function AVG() with the column budget in parentheses. Name the column in the output by using the AS keyword. Group the data by rating using GROUP BY . To filter the data after grouping, use a HAVING clause. In it, use the same AVG() construct as in SELECT and set the values to be above 50 using the ‘greater than’ operator.

Exercise: Show movie titles from the table movies , each with the name of its distribution company.

Solution explanation: List the columns movie_title and company_name in SELECT . In the FROM clause, reference the table distribution_companies . Give it an alias dc to shorten its name for use later. The AS keyword is omitted here; you may use it if you wish. To access the data from the other table, use JOIN (it may also be written as INNER JOIN ) and write the table name after it. Give this table an alias also. The join used here is an inner type of join; it returns only the rows that match the joining condition specified in the ON clause. The tables are joined where the column id from the table distribution_companies is equal to the column distribution_company_id from the table movies . To specify which column is from which table, use the corresponding alias of each table.

These ten SQL practice exercises give you a taste of what practicing SQL looks like. Whether you are at the beginner, intermediate, or advanced level, it’s the same. What changes is the complexity of the problems you solve and of the code you write.

Look for more challenges in the SQL Basics course and the Monthly SQL Practice track. Both are excellent for your SQL practice online. This is true, especially if you do not have an opportunity to use SQL on a daily basis in your job.

So, don’t try to test how long it takes to forget what you once knew in SQL! Use every opportunity to solve as many SQL practice problems as possible.

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DBMS Lab Assignment Questions

These are DBMS Lab Assignment Questions for practice RDBMS in a lab environment and all queries were tested using Oracle 10g. The Queries may not give you expected result if you implement them on any other DBMS setup without necessary modifications.

Q1: Consider the following relational schema for the Office of the Controller of Examinations Application.

Student ( Rollno , Name, Dob, Gender, Doa, Bcode );

Implement a check constraint for

• Date of Admission

Branch ( Bcode , Bname, Dno );

Department ( Dno , Dname );

Course ( Ccode , Cname, Credits, Dno );

Branch_Course ( Bcode , Ccode , Semester );

Enrolls ( Rollno , Ccode , Sess , Grade );

For Example,

SESS can take values ‘APRIL 2013’, ‘NOV 2013’

Implement a check constraint for grade Value Set (‘S’, ‘A’, ‘B’, ‘C’, ‘D’, ‘E’, ‘U’ );

Students are admitted to Branches and they are offered by Departments. A branch is offered by only one department.

Each branch has a set of Courses (Subjects). Each student must enroll during a semester. Courses are offered by Departments. A course is offered only by one department. If a student is unsuccessful in a course he/she must enroll for the course during next session. A student has successfully completed a course if the grade obtained by is from the list (A, B, C, D, and E).

A student is unsuccessful if he/she have grade ‘U’ in a course.

Primary Keys are underlined.

These are questions for assignment 1. The solution is available after the last question.

Question (A)

Develop a SQL query to list details of Departments that offer more than 3 branches.

Question (B)

Develop a SQL query to list the details of Departments that offer more than 6 courses.

Question (C)

Develop a SQL query to list the details of courses that are common for more than 3 branches.

Question (D)

Develop a SQL query to list students who got ‘S’ in more than 2 courses during single enrollment.

Question (E)

Create a view that will keep track of the roll number, name and number of courses, a student has completed successfully.

Q2: Consider the following relations for an Order Processing Database application in a Company.

Customer ( Customerno varchar2 (5), Cname varchar2 (50) );

Implement check constraints to check Customerno starts with ‘C’ .

Cust_Order ( Orderno varchar2(5), Odate Date, Customerno references Customer, Ord_amt number(8) );

Implement check constraints to check Orderno starts with ‘ O ’.

Ord_amt is derived attribute (default value is 0);

Item ( Itemno varchar2 (5), Item_name varchar2 (30), unit_price number (5) );

Implement check constraint to check Itemno starts with ‘I’ .

Order_item ( Orderno references Cust_order, Itemno references item, qty number (3) );

Primary Key is underlined.

These are questions for assignment 2. The solution is available after the last question.

Develop DDL to implement above schema enforcing primary key, check constraints and foreign key constraints.

Populate Database with rich data set.

Develop SQL query to list the details of customers who have placed more than 3 orders.

Develop a SQL query to list details of items whose price is less than the average price of all items in each order.

Develop a SQL query to list the orderno and number of items in each order.

Question (F)

Develop a SQL query to list the details of items that are present in 25% of the orders.

Question (G)

Develop an update statement to update the value of Ord_amt.

Question (H)

Create a view that keeps track of detail of each customer and number of Order placed.

Q3: Consider the following relational schema

Staff ( Staffno number (5), Name varchar2 (30), Dob Date, Gender Char (2), Doj Date, Designation varchar2 (30), Basic_pay number (6), Deptno varchar2 (5) );

Gender must take value ‘M ’ or ‘F’.

Dept ( Deptno varchar2 (5), Name varchar2 (30) );

Skill ( Skill_code varchar2 (5), Description varchar2 (30), Charge_Outrage number (3) );

Staff_skill ( Staffno number (5), Skill_code varchar2 (5) );

Project ( Projectno varchar2 (5), Pname varchar2 (5), Start_Date Date, End_Date Date, Project_Manager_Staffno number (5) );

Project Number must start with ‘ P’.

Works ( Staffno number (5), Projectno varchar2 (5), Date_Worked_On Date, Intime Timestamp, Outtime Timestamp );

These are questions for assignment 3. The solution is available after the last question.

Develop DDL to implement the above schema specifying appropriate data types for each attributes and enforcing primary key, check constraints and foreign key constraints.

Populate the database with rich data set.

Develop a SQL query to list the departmentno and number of staff in each department,

Develop a SQL query to list the details of staff who earn the AVG basic pay of all staff.

Develop a SQL query to list the details of staff who have more than 3 skills.

Develop a SQL query to list the details of staff who have skills with a charge outrate greater than 60 per hour.

Create a view that will keep track of the department number, department name, the number of employees in the department and total basic pay expenditure for the department.

Develop a SQL query to list the details of Depts which has more than 5 staff working in it.

Question (I)

Q4: Consider the following relational schema for a banking database application.

Customer ( Cid , Cname );

Branch ( Bcode , Bname );

Account ( Ano , Atype, Balance, Cid, Bcode );

An account can be a saving account or a current account. Check Atype in ‘S’ or ‘C’. A customer can have both types of accounts.

Transaction ( Tid , Ano , Tttype, Tdate, Tamount );

Ttype can be ‘D’ or ‘W’.

D – Deposit, W – Withdrawal

These are questions for assignment 4. The solution is available after the last question.

Develop DDL to implement the above schema specifying an appropriate data type for each attribute enforcing primary key, check constraints and foreign key constraints.

Populate the database with a rich data set.

Develop a SQL query to list the details of customers who have a saving account and a current account.

Develop a SQL query to list the details of branches and the number of accounts in each branch.

Develop a SQL query to list the details of branches where the number of accounts is less than the average number of accounts in all branches.

Develop a SQL query to list the details of customers who have performed three transaction on a day.

Create a view that will keep track of branch details and the number of accounts in each branch.

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