Define RDBMS. Name any two RDBMS software.
Answer
An RDBMS is a database management system based on the relational model, storing data in tables of rows and columns, enabling data retrieval, manipulation, and relationships through SQL queries. Two examples of RDBMS software are MySQL and Oracle Database.
What is the purpose of the following clauses in a select statement?
(i) ORDER BY
(ii) GROUP BY
Answer
(i) ORDER BY clause is used to sort the result set of a SELECT statement either in ascending (default) or descending order based on one or more columns. The ASC keyword is used for ascending order, and the DESC keyword is used for descending order.
(ii) GROUP BY clause is used to group rows that have the same values in specified columns into summary rows. It is commonly used with aggregate functions (e.g., SUM, COUNT, AVG) to perform calculations on grouped data.
Site any two differences between Single Row Functions and Aggregate Functions.
Answer
Two differences between Single Row Functions and Aggregate Functions are:
Single Row Functions | Aggregate Functions |
---|---|
Single row functions operate on individual rows and return a single value per row. | Aggregate functions operate on groups of rows and return a single result for each group. |
It can be used in SELECT, WHERE, and ORDER BY clause. | It can be used in the SELECT clause only. |
What do you understand by Cartesian Product?
Answer
The Cartesian Product is an operation that combines tuples from two relations. It results in all possible pairs of rows from the two input relations, regardless of whether they have matching values on common attributes. This operation is denoted by the cross join symbol (×) in SQL.
Differentiate between the following statements:
(i) ALTER and UPDATE
(ii) DELETE and DROP
Answer
(i) Differences between ALTER and UPDATE statements:
ALTER statement | UPDATE statement |
---|---|
The ALTER statement is used to modify the structure of database objects, such as tables, views, or schemas. | The UPDATE statement is used to modify the existing data in a table. |
It can be used to add, modify, or drop columns, constraints, or indexes in a table. | It is used to change the values of one or more columns in a table based on specified conditions. |
For example: ALTER TABLE Employees ADD Email VARCHAR(255); | For example: UPDATE Employees SET Email = 'john.doe@example.com' WHERE EmployeeID = 101; |
(ii) Differences between DELETE and DROP statements:
DELETE statement | DROP statement |
---|---|
The DELETE statement is used to remove one or more rows from a table based on specified conditions. | The DROP statement is used to remove entire database objects, such as tables, views, indexes, or schemas, from the database. |
It deletes specific rows of data while keeping the table structure intact. | It deletes the entire object along with its structure and data. |
For example, DELETE FROM Employees WHERE Department = 'Marketing'; | For example, DROP TABLE Products; |
Write the name of the functions to perform the following operations:
- To display the day like 'Monday', 'Tuesday', from the date when India got independence.
- To display the specified number of characters from a particular position of the given string.
- To display the name of the month in which you were born.
- To display your name in capital letters.
Answer
- DAYNAME("1947-08-15")
- SUBSTRING(string, pos, n)
- MONTHNAME("yyyy-mm-dd")
- UPPER('YourName')
Write the output produced by the following SQL statements:
(a) SELECT POW(2, 3);
(b) SELECT ROUND(342.9234, -1);
(c) SELECT LENGTH("Informatics Practices");
(d) SELECT YEAR("1979/11/26"), MONTH("1979/11/26"), DAY("1979/11/26"), MONTHNAME("1979/11/26");
(e) SELECT LEFT("INDIA", 3), RIGHT("ComputerScience", 4), MID("Informatics", 3, 4), SUBSTR("Practices", 3);
Answer
(a)
+-----------+
| POW(2, 3) |
+-----------+
| 8 |
+-----------+
(b)
+---------------------+
| ROUND(342.9234, -1) |
+---------------------+
| 340 |
+---------------------+
(c)
+---------------------------------+
| LENGTH("Informatics Practices") |
+---------------------------------+
| 21 |
+---------------------------------+
(d)
+--------------------+---------------------+-------------------+-------------------------+
| YEAR("1979/11/26") | MONTH("1979/11/26") | DAY("1979/11/26") | MONTHNAME("1979/11/26") |
+--------------------+---------------------+-------------------+-------------------------+
| 1979 | 11 | 26 | November |
+--------------------+---------------------+-------------------+-------------------------+
(e)
+------------------+-----------------------------+--------------------------+------------------------+
| LEFT("INDIA", 3) | RIGHT("ComputerScience", 4) | MID("Informatics", 3, 4) | SUBSTR("Practices", 3) |
+------------------+-----------------------------+--------------------------+------------------------+
| IND | ence | form | actices |
+------------------+-----------------------------+--------------------------+------------------------+
Consider the following MOVIE table and write the SQL queries based on it.
MovieID | MovieName | Category | ReleaseDate | ProductionCost | BusinessCost |
---|---|---|---|---|---|
001 | Hindi_Movie | Musical | 2018-04-23 | 124500 | 130000 |
002 | Tamil_Movie | Action | 2016-05-17 | 112000 | 118000 |
003 | English_Movie | Horror | 2017-08-06 | 245000 | 360000 |
004 | Bengali_Movie | Adventure | 2017-01-04 | 72000 | 100000 |
005 | Telugu_Movie | Action | - | 100000 | - |
006 | Punjabi_Movie | Comedy | - | 30500 | - |
(a) Display all the information from the Movie table.
(b) List business done by the movies showing only MovieID, MovieName and Total_Earning. Total_Earning to be calculated as the sum of ProductionCost and BusinessCost.
(c) List the different categories of movies.
(d) Find the net profit of each movie showing its MovieID, MovieName and NetProfit. Net Profit is to be calculated as the difference between Business Cost and Production Cost.
(e) List MovieID, MovieName and Cost for all movies with ProductionCost greater than 10,000 and less than 1,00,000.
(f) List details of all movies which fall in the category of comedy or action.
(g) List details of all movies which have not been released yet.
Answer
(a)
SELECT * FROM Movie;
+---------+---------------+-----------+-------------+----------------+--------------+
| MOVIEID | MOVIENAME | CATEGORY | RELEASEDATE | PRODUCTIONCOST | BUSINESSCOST |
+---------+---------------+-----------+-------------+----------------+--------------+
| 1 | Hindi_Movie | Musical | 2018-04-23 | 124500 | 130000 |
| 2 | Tamil_Movie | Action | 2016-05-17 | 112000 | 118000 |
| 3 | English_Movie | Horror | 2017-08-06 | 245000 | 360000 |
| 4 | Bengali_Movie | Adventure | 2017-01-04 | 72000 | 100000 |
| 5 | Telugu_Movie | Action | NULL | 100000 | NULL |
| 6 | Punjabi_Movie | Comedy | NULL | 30500 | NULL |
+---------+---------------+-----------+-------------+----------------+--------------+
(b)
SELECT MovieID, MovieName, (ProductionCost + BusinessCost) AS Total_Earning
FROM Movie
WHERE ReleaseDate IS NOT NULL;
+---------+---------------+---------------+
| MovieID | MovieName | Total_Earning |
+---------+---------------+---------------+
| 1 | Hindi_Movie | 254500 |
| 2 | Tamil_Movie | 230000 |
| 3 | English_Movie | 605000 |
| 4 | Bengali_Movie | 172000 |
+---------+---------------+---------------+
(c)
SELECT DISTINCT Category FROM MOVIE;
+-----------+
| Category |
+-----------+
| Musical |
| Action |
| Horror |
| Adventure |
| Comedy |
+-----------+
(d)
SELECT MovieID, MovieName, BusinessCost - ProductionCost AS NetProfit
FROM Movie
WHERE ReleaseDate IS NOT NULL;
+---------+---------------+-----------+
| MovieID | MovieName | NetProfit |
+---------+---------------+-----------+
| 1 | Hindi_Movie | 5500 |
| 2 | Tamil_Movie | 6000 |
| 3 | English_Movie | 115000 |
| 4 | Bengali_Movie | 28000 |
+---------+---------------+-----------+
(e)
SELECT MovieID, MovieName, ProductionCost AS Cost
FROM MOVIE
WHERE ProductionCost > 10000 AND ProductionCost < 100000;
+---------+---------------+-------+
| MovieID | MovieName | Cost |
+---------+---------------+-------+
| 4 | Bengali_Movie | 72000 |
| 6 | Punjabi_Movie | 30500 |
+---------+---------------+-------+
(f)
SELECT * FROM MOVIE
WHERE Category = 'Comedy' OR Category = 'Action';
+---------+---------------+----------+-------------+----------------+--------------+
| MOVIEID | MOVIENAME | CATEGORY | RELEASEDATE | PRODUCTIONCOST | BUSINESSCOST |
+---------+---------------+----------+-------------+----------------+--------------+
| 2 | Tamil_Movie | Action | 2016-05-17 | 112000 | 118000 |
| 5 | Telugu_Movie | Action | NULL | 100000 | NULL |
| 6 | Punjabi_Movie | Comedy | NULL | 30500 | NULL |
+---------+---------------+----------+-------------+----------------+--------------+
(g)
SELECT * FROM MOVIE
WHERE ReleaseDate IS NULL;
+---------+---------------+----------+-------------+----------------+--------------+
| MOVIEID | MOVIENAME | CATEGORY | RELEASEDATE | PRODUCTIONCOST | BUSINESSCOST |
+---------+---------------+----------+-------------+----------------+--------------+
| 5 | Telugu_Movie | Action | NULL | 100000 | NULL |
| 6 | Punjabi_Movie | Comedy | NULL | 30500 | NULL |
+---------+---------------+----------+-------------+----------------+--------------+
Suppose your school management has decided to conduct cricket matches between students of Class XI and Class XII. Students of each class are asked to join any one of the four teams – Team Titan, Team Rockers, Team Magnet and Team Hurricane. During summer vacations, various matches will be conducted between these teams. Help your sports teacher to do the following:
(a) Create a database "Sports".
(b) Create a table "TEAM" with following considerations:
- It should have a column TeamID for storing an integer value between 1 to 9, which refers to unique identification of a team.
- Each TeamID should have its associated name (TeamName), which should be a string of length not less than 10 characters.
(c) Using table level constraint, make TeamID as the primary key.
(d) Show the structure of the table TEAM using a SQL statement.
(e) As per the preferences of the students four teams were formed as given below. Insert these four rows in TEAM table:
Row 1: (1, Team Titan)
Row 2: (2, Team Rockers)
Row 3: (3, Team Magnet)
Row 4: (4, Team Hurricane)
(f) Show the contents of the table TEAM using a DML statement.
(g) Now create another table MATCH_DETAILS and insert data as shown below. Choose appropriate data types and constraints for each attribute.
Table: MATCH_DETAILS
MatchID | MatchDate | FirstTeamID | SecondTeamID | FirstTeamScore | SecondTeamScore |
---|---|---|---|---|---|
M1 | 2018-07-17 | 1 | 2 | 90 | 86 |
M2 | 2018-07-18 | 3 | 4 | 45 | 48 |
M3 | 2018-07-19 | 1 | 3 | 78 | 56 |
M4 | 2018-07-19 | 2 | 4 | 56 | 67 |
M5 | 2018-07-18 | 1 | 4 | 32 | 87 |
M6 | 2018-07-17 | 2 | 3 | 67 | 51 |
Answer
(a)
CREATE DATABASE Sports;
(b)
CREATE TABLE TEAM (
TeamID INT,
TeamName VARCHAR(20));
(c)
ALTER TABLE TEAM
ADD PRIMARY KEY(TeamID);
(d)
DESCRIBE TEAM;
+----------+----------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+----------+----------+------+-----+---------+-------+
| TeamID | int | NO | PRI | NULL | |
| TeamName | char(20) | YES | | NULL | |
+----------+----------+------+-----+---------+-------+
(e)
INSERT INTO TEAM (TeamID, TeamName) VALUES
(1, 'Team Titan'),
(2, 'Team Rockers'),
(3, 'Team Magnet'),
(4, 'Team Hurricane');
(f)
SELECT * FROM TEAM;
+--------+----------------+
| TeamID | TeamName |
+--------+----------------+
| 1 | Team Titan |
| 2 | Team Rockers |
| 3 | Team Magnet |
| 4 | Team Hurricane |
+--------+----------------+
(g)
CREATE TABLE MATCH_DETAILS (
MatchID VARCHAR(10),
MatchDate DATE,
FirstTeamID INT,
SecondTeamID INT,
FirstTeamScore INT,
SecondTeamScore INT,
CONSTRAINT PK_MatchID PRIMARY KEY (MatchID),
);
INSERT INTO MATCH_DETAILS (MatchID, MatchDate, FirstTeamID, SecondTeamID, FirstTeamScore, SecondTeamScore) VALUES
('M1', '2018-07-17', 1, 2, 90, 86),
('M2', '2018-07-18', 3, 4, 45, 48),
('M3', '2018-07-19', 1, 3, 78, 56),
('M4', '2018-07-19', 2, 4, 56, 67),
('M5', '2018-07-18', 1, 4, 32, 87),
('M6', '2018-07-17', 2, 3, 67, 51);
SELECT * FROM MATCH_DETAILS;
+---------+------------+-------------+--------------+----------------+-----------------+
| MatchID | MatchDate | FirstTeamID | SecondTeamID | FirstTeamScore | SecondTeamScore |
+---------+------------+-------------+--------------+----------------+-----------------+
| M1 | 2018-07-17 | 1 | 2 | 90 | 86 |
| M2 | 2018-07-18 | 3 | 4 | 45 | 48 |
| M3 | 2018-07-19 | 1 | 3 | 78 | 56 |
| M4 | 2018-07-19 | 2 | 4 | 56 | 67 |
| M5 | 2018-07-18 | 1 | 4 | 32 | 87 |
| M6 | 2018-07-17 | 2 | 3 | 67 | 51 |
+---------+------------+-------------+--------------+----------------+-----------------+
Using the sports database containing two relations (TEAM, MATCH_DETAILS) and write the queries for the following:
(a) Display the MatchID of all those matches where both the teams have scored more than 70.
(b) Display the MatchID of all those matches where FirstTeam has scored less than 70 but SecondTeam has scored more than 70.
(c) Display the MatchID and date of matches played by Team 1 and won by it.
(d) Display the MatchID of matches played by Team 2 and not won by it.
(e) Change the name of the relation TEAM to T_DATA. Also change the attributes TeamID and TeamName to T_ID and T_NAME respectively.
Answer
(a)
SELECT MatchID
FROM MATCH_DETAILS
WHERE FirstTeamScore > 70 AND SecondTeamScore > 70;
+---------+
| MatchID |
+---------+
| M1 |
+---------+
(b)
SELECT MatchID
FROM MATCH_DETAILS
WHERE FirstTeamScore < 70 AND SecondTeamScore > 70;
+---------+
| MatchID |
+---------+
| M5 |
+---------+
(c)
SELECT MatchID, MatchDate
FROM MATCH_DETAILS
WHERE FirstTeamID = 1 AND FirstTeamScore > SecondTeamScore;
+---------+------------+
| MatchID | MatchDate |
+---------+------------+
| M1 | 2018-07-17 |
| M3 | 2018-07-19 |
+---------+------------+
(d)
SELECT MatchID
FROM MATCH_DETAILS
WHERE SecondTeamID = 2 AND SecondTeamScore <= FirstTeamScore;
+---------+
| MatchID |
+---------+
| M1 |
+---------+
(e)
ALTER TABLE TEAM RENAME TO T_DATA;
ALTER TABLE T_DATA CHANGE COLUMN TeamID T_ID int;
ALTER TABLE T_DATA CHANGE COLUMN TeamName T_NAME CHAR(20);
A shop called Wonderful Garments who sells school uniforms maintains a database SCHOOLUNIFORM as shown below. It consisted of two relations - UNIFORM and COST. They made UniformCode as the primary key for UNIFORM relations. Further, they used UniformCode and Size to be composite keys for COST relation. By analysing the database schema and database state, specify SQL queries to rectify the following anomalies.
(a) M/S Wonderful Garments also keeps handkerchiefs of red colour, medium size of Rs. 100 each.
(b) INSERT INTO COST (UCode, Size, Price) values (7, 'M', 100);
When the above query is used to insert data, the values for the handkerchief without entering its details in the UNIFORM relation is entered. Make a provision so that the data can be entered in the COST table only if it is already there in the UNIFORM table.
(c) Further, they should be able to assign a new UCode to an item only if it has a valid UName. Write a query to add appropriate constraints to the SCHOOLUNIFORM database.
(d) Add the constraint so that the price of an item is always greater than zero.
Answer
(b)
ALTER TABLE COST ADD CONSTRAINT fk_uniform_ucode_size FOREIGN KEY (UCode) REFERENCES UNIFORM (UCode);
(c)
ALTER TABLE UNIFORM ADD CONSTRAINT CK_UName_UCode
CHECK (UName IS NOT NULL);
(d)
ALTER TABLE COST ADD CONSTRAINT CK_Price_Positive CHECK (Price > 0);
Consider the following table named "Product", showing details of products being sold in a grocery shop.
PCode | PName | UPrice | Manufacturer |
---|---|---|---|
P01 | Washing Powder | 120 | Surf |
P02 | Toothpaste | 54 | Colgate |
P03 | Soap | 25 | Lux |
P04 | Toothpaste | 65 | Pepsodent |
P05 | Soap | 38 | Dove |
P06 | Shampoo | 245 | Dove |
Write SQL queries for the following:
(a) Create the table Product with appropriate data types and constraints.
(b) Identify the primary key in Product.
(c) List the Product Code, Product name and price in descending order of their product name. If PName is the same, then display the data in ascending order of price.
(d) Add a new column Discount to the table Product.
(e) Calculate the value of the discount in the table Product as 10 per cent of the UPrice for all those products where the UPrice is more than 100, otherwise the discount will be 0.
(f) Increase the price by 12 per cent for all the products manufactured by Dove.
(g) Display the total number of products manufactured by each manufacturer.
Write the output(s) produced by executing the following queries on the basis of the information given above in the table Product:
(h) SELECT PName, avg(UPrice) FROM Product GROUP BY Pname;
(i) SELECT DISTINCT Manufacturer FROM Product;
(j) SELECT COUNT (DISTINCT PName) FROM Product;
(k) SELECT PName, MAX(UPrice), MIN(UPrice) FROM Product GROUP BY PName;
Answer
(a)
CREATE TABLE Product (
PCode VARCHAR(10) PRIMARY KEY,
PName VARCHAR(50),
UPrice int,
Manufacturer VARCHAR(50)
);
(b) The primary key in the table "Product" is PCode.
(c)
SELECT PCode, PName, UPrice
FROM Product
ORDER BY PName DESC, UPrice ASC;
+-------+----------------+--------+
| PCode | PName | UPrice |
+-------+----------------+--------+
| P01 | WASHING POWDER | 120 |
| P02 | TOOTHPASTE | 54 |
| P04 | TOOTHPASTE | 65 |
| P03 | SOAP | 25 |
| P05 | SOAP | 38 |
| P06 | SHAMPOO | 245 |
+-------+----------------+--------+
(d)
ALTER TABLE Product
ADD COLUMN Discount float;
(e)
UPDATE Product
SET Discount = IF(UPrice > 100, (UPrice * (10/100)) + UPrice, 0);
SELECT * FROM Product;
+-------+----------------+--------+--------------+----------+
| PCode | PName | UPrice | Manufacturer | Discount |
+-------+----------------+--------+--------------+----------+
| P01 | WASHING POWDER | 120 | SURF | 12 |
| P02 | TOOTHPASTE | 54 | COLGATE | 0 |
| P03 | SOAP | 25 | LUX | 0 |
| P04 | TOOTHPASTE | 65 | PEPSODENT | 0 |
| P05 | SOAP | 38 | DOVE | 0 |
| P06 | SHAMPOO | 245 | DOVE | 24.5 |
+-------+----------------+--------+--------------+----------+
(f)
UPDATE Product
SET UPrice = (UPrice * (12/100)) + UPrice
WHERE Manufacturer = 'Dove';
SELECT * from Product;
+-------+----------------+--------+--------------+----------+
| PCode | PName | UPrice | Manufacturer | Discount |
+-------+----------------+--------+--------------+----------+
| P01 | WASHING POWDER | 120 | SURF | 12 |
| P02 | TOOTHPASTE | 54 | COLGATE | 0 |
| P03 | SOAP | 25 | LUX | 0 |
| P04 | TOOTHPASTE | 65 | PEPSODENT | 0 |
| P05 | SOAP | 43 | DOVE | 0 |
| P06 | SHAMPOO | 274 | DOVE | 24.5 |
+-------+----------------+--------+--------------+----------+
(g)
SELECT Manufacturer, COUNT(*) AS TotalProducts
FROM Product
GROUP BY Manufacturer;
+--------------+---------------+
| Manufacturer | TotalProducts |
+--------------+---------------+
| SURF | 1 |
| COLGATE | 1 |
| LUX | 1 |
| PEPSODENT | 1 |
| DOVE | 2 |
+--------------+---------------+
(h)
SELECT PName, avg(UPrice) FROM Product GROUP
BY Pname;
+----------------+-------------+
| PName | avg(UPrice) |
+----------------+-------------+
| WASHING POWDER | 120.0000 |
| TOOTHPASTE | 59.5000 |
| SOAP | 34.0000 |
| SHAMPOO | 274.0000 |
+----------------+-------------+
(i)
SELECT DISTINCT Manufacturer FROM Product;
+--------------+
| Manufacturer |
+--------------+
| SURF |
| COLGATE |
| LUX |
| PEPSODENT |
| DOVE |
+--------------+
(j)
SELECT COUNT(DISTINCT PName) FROM Product;
+-----------------------+
| COUNT(DISTINCT PName) |
+-----------------------+
| 4 |
+-----------------------+
(k)
SELECT PName, MAX(UPrice), MIN(UPrice) FROM
Product GROUP BY PName;
+----------------+-------------+-------------+
| PName | MAX(UPrice) | MIN(UPrice) |
+----------------+-------------+-------------+
| WASHING POWDER | 120 | 120 |
| TOOTHPASTE | 65 | 54 |
| SOAP | 43 | 25 |
| SHAMPOO | 274 | 274 |
+----------------+-------------+-------------+
Using the CARSHOWROOM database given in the chapter, write the SQL queries for the following:
(a) Add a new column Discount in the INVENTORY table.
(b) Set appropriate discount values for all cars keeping in mind the following:
- No discount is available on the LXI model.
- VXI model gives a 10 per cent discount.
- A 12 per cent discount is given on cars other than LXI model and VXI model.
(c) Display the name of the costliest car with fuel type "Petrol".
(d) Calculate the average discount and total discount available on Baleno cars.
(e) List the total number of cars having no discount.
Answer
Table inventory
CarId | CarName | Price | Model | YearManufacture | FuelType | FinalPrice |
---|---|---|---|---|---|---|
D001 | Dzire | 582613.00 | LXI | 2017 | Petrol | 652526.6 |
D002 | Dzire | 673112.00 | VXI | 2018 | Petrol | 753885.4 |
B001 | Baleno | 567031.00 | Sigma1.2 | 2019 | Petrol | 635074.7 |
B002 | Baleno | 647858.00 | Delta1.2 | 2018 | Petrol | 725601.0 |
E001 | EECO | 355205.00 | 5 STR STD | 2017 | CNG | 397829.6 |
E002 | EECO | 654914.00 | CARE | 2018 | CNG | 733503.7 |
S001 | SWIFT | 514000.00 | LXI | 2017 | Petrol | 575680.0 |
S002 | SWIFT | 614000.00 | VXI | 2018 | Petrol | 687680.0 |
(a)
ALTER TABLE INVENTORY
ADD COLUMN Discount FLOAT;
(b)
UPDATE INVENTORY
SET Discount = 0
WHERE Model = 'LXI';
UPDATE INVENTORY
SET Discount = Price * 0.10
WHERE Model = 'VXI';
UPDATE INVENTORY
SET Discount = Price * 0.12
WHERE Model NOT IN ('LXI', 'VXI');
+-------+---------+-----------+-----------+-----------------+----------+------------+----------+
| CarId | CarName | Price | Model | YearManufacture | FuelType | FinalPrice | Discount |
+-------+---------+-----------+-----------+-----------------+----------+------------+----------+
| D001 | Dzire | 582613.00 | LXI | 2017 | Petrol | 652526.60 | 0 |
| D002 | Dzire | 673112.00 | VXI | 2018 | Petrol | 753885.40 | 67311.2 |
| B001 | Baleno | 567031.00 | Sigma1.2 | 2019 | Petrol | 635074.70 | 68043.7 |
| B002 | Baleno | 647858.00 | Delta1.2 | 2018 | Petrol | 725601.00 | 77743 |
| E001 | EECO | 355205.00 | 5 STR STD | 2017 | CNG | 397829.60 | 42624.6 |
| E002 | EECO | 654914.00 | CARE | 2018 | CNG | 733503.70 | 78589.7 |
| S001 | SWIFT | 514000.00 | LXI | 2017 | Petrol | 575680.00 | 0 |
| S002 | SWIFT | 614000.00 | VXI | 2018 | Petrol | 687680.00 | 61400 |
+-------+---------+-----------+-----------+-----------------+----------+------------+----------+
(c)
SELECT CarName
FROM INVENTORY
WHERE FuelType = 'Petrol'
AND Price = (SELECT MAX(Price) FROM INVENTORY WHERE FuelType = 'Petrol');
+---------+
| CarName |
+---------+
| Dzire |
+---------+
(d)
SELECT AVG(Discount) AS AverageDiscount,
SUM(Discount) AS TotalDiscount
FROM INVENTORY
WHERE CarName = 'Baleno';
+-----------------+----------------+
| AverageDiscount | TotalDiscount |
+-----------------+----------------+
| 72893.33984375 | 145786.6796875 |
+-----------------+----------------+
(e)
SELECT COUNT(*)
FROM INVENTORY
WHERE Discount = 0;
+----------+
| COUNT(*) |
+----------+
| 2 |
+----------+