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Question
The SELECT
statement when combined with the ______ clause returns records without repetition.
Options
DESCRIBE
UNIQUE
DISTINCT
NULL
Solution
The SELECT
statement when combined with the DISTINCT
clause returns records without repetition.
Explanation:
The distinct values from a collection of values in a table field are returned by the DISTINCT clause.
RELATED QUESTIONS
Which of the following is not a comparison query?
Which function is used with the ORDER BY clause to custom sort order?
Consider the following SQL.
SELECT ______ FROM Employee WHERE Dept= 'Printing';
Which of the following should be used to find the mean of the salary?
Which of the following is not true for SQL?
Which constraint ensures that a column cannot have NULL values where NULL means missing/unknown/not applicable value?
Which constraint ensures that all the values in a column are distinct/unique?
How will you retrieve all details of employee_detail table?
______ operator defines the range of values in which the common value must fall into to make condition true.
Write the output produced by the following SQL statement:
SELECT POW(2, 3);
Consider the following MOVIE table and write the SQL query 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 | - |
- Display all the information from the Movie table.
- List business is done by the movies showing only MovieID, MovieName, and Total_Earning. Total_ Earning to be calculated as the sum of ProductionCost and BusinessCost.
- List the different categories of movies.
- 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.
- List MovieID, MovieName, and Cost for all movies with ProductionCost greater than 10,000 and less than 1,00,000.
- List details of all movies which fall in the category of comedy or action.
- List details of all movies which have not been released yet.
Consider the following MOVIE table and write the SQL query 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 | - |
List business is done by the movies showing only MovieID, MovieName, and Total_Earning. Total_ Earning to be calculated as the sum of ProductionCost and BusinessCost.
Consider the following MOVIE table and write the SQL query 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 | - |
List MovieID, MovieName, and Cost for all movies with ProductionCost greater than 10,000 and less than 1,00,000.
Consider the following MOVIE table and write the SQL query 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 | - |
List details of all movies which fall in the category of comedy or action.
Consider the following MOVIE table and write the SQL query 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 | - |
List details of all movies which have not been released yet.
Using the sports database containing two relations (TEAM, MATCH_DETAILS) and write the Query for the following:
- Display the MatchID of all those matches where both teams have scored more than 70.
- Display the MatchID of all those matches where FirstTeam has scored less than 70 but SecondTeam has scored more than 70.
- Display the MatchID and date of matches played by Team 1 and won by it.
- Display the MatchID of matches played by Team 2 and not won by it.
- Change the name of the relation TEAM to T_DATA. Also, change the attributes TeamID and TeamName to T_ID and T_NAME respectively.
Using the sports database containing two relations (TEAM, MATCH_DETAILS) and write the Query for the following:
Display the MatchID of all those matches where FirstTeam has scored less than 70 but SecondTeam has scored more than 70.
Using the sports database containing two relations (TEAM, MATCH_DETAILS) and write the Query for the following:
Display the MatchID and date of matches played by Team 1 and won by it.
Using the sports database containing two relations (TEAM, MATCH_DETAILS) and write the Query for the following:
Display the MatchID of matches played by Team 2 and not won by it.
Consider the following tables – Bank_Account and Branch:
Table: Bank_Account
ACode | Name | Type |
A01 | Amrita | Savings |
A02 | Parthodas | Current |
A03 | Miraben | Current |
Table: Branch
ACode | City |
A01 | Delhi |
A02 | Mumbai |
A01 | Nagpur |
What will be the output of the following statement?
SELECT * FROM Bank_Account NATURAL JOIN Branch;
Write the output of the queries (i) to (iv) based on the table, WORKER given below:
TABLE: WORKER
W_ID | F_NAME | L_NAME | CITY | STATE |
102 | SAHIL | KHAN | KANPUR | UTTAR PRADESH |
104 | SAMEER | PARIKH | ROOP NAGAR | PUNJAB |
105 | MARY | JONES | DELHI | DELHI |
106 | MAHIR | SHARMA | SONIPAT | HARYANA |
107 | ATHARVA | BHARDWAJ | DELHI | DELHI |
108 | VEDA | SHARMA | KANPUR | UTTAR PRADESH |
SELECT F_NAME, CITY FROM WORKER ORDER BY STATE DESC;
SELECT DISTINCT (CITY) FROM WORKER;
SELECT F_NAME, STATE FROM WORKER WHERE L_NAME LIKE '_HA%';
SELECT CITY, COUNT(*) FROM WORKER GROUP BY CITY;
Write the outputs of the SQL queries (i) to (iv) based on the relations COMPUTER and SALES given below:
Table: COMPUTER | ||||
PROD_ID | PROD_NAME | PRICE | COMPANY | TYPE |
P001 | MOUSE | 200 | LOGITECH | INPUT |
P002 | LASER PRINTER | 4000 | CANON | OUTPUT |
P003 | KEYBOARD | 500 | LOGITECH | INPUT |
P004 | JOYSTICK | 1000 | IBALL | INPUT |
P005 | SPEAKER | 1200 | CREATIVE | OUTPUT |
P006 | DESKET PRINTER | 4300 | CANON | OUTPUT |
Table: SALES | ||
PROD_ID | QTY_SOLD | QUARTER |
P002 | 4 | 1 |
P003 | 2 | 2 |
P001 | 3 | 2 |
P004 | 2 | 1 |
SELECT MIN(PRICE), MAX(PRICE) FROM COMPUTER;
SELECT COMPANY, COUNT(*) FROM COMPUTER GROUP BY COMPANY HAVING COUNT(COMPANY) > 1;
SELECT PROD_NAME, QTY_SOLD FROM COMPUTER C, SALES S WHERE C.PROD_ID=S.PROD_ID AND TYPE = 'INPUT';
SELECT PROD_NAME, COMPANY, QUARTER FROM COMPUTER C, SALES S WHERE C.PROD_ID=S.PROD_ID;
The code given below reads the following records from the table employee and displays only those records that have employees coming from the city 'Delhi':
E_code
- StringE_name
- StringSal
- IntegerCity
- String
Note the following to establish connectivity between Python and MySQL:
- Username is
root
- Password is
root
- The table exists in a MySQL database named
emp
. - The details
(E_code,E_name,Sal,City)
are the attributes of the table.
Write the following statements to complete the code:
Statement 1 - to import the desired library.
Statement 2 - to execute the query that fetches records of the employees/coming from the city ‘Delhi’.
Statement 3 - to read the complete data of the query (rows whose city is Delhi) into the object named details, from the table employee in the database.
import ____________ as mysql #Statement 1
def display():
mydb=mysql.connect(host="localhost",user="root"
passwd="root", database=" emp")
mycursor=mydb.cursor()
____________ #Statement 2
details = ____________ # Statement 3
for i in details:
print (i)
Consider the table CLUB given below and write the output of the SQL queries that follow.
CID | CNAME | AGE | GENDER | SPORTS | PAY | DOAPP |
5246 | AMRITA | 35 | FEMALE | CHESS | 900 | 2006- 03-27 |
4687 | SHYAM | 37 | MALE | CRICKET | 1300 | 2004- 04-15 |
1245 | MEENA | 23 | FEMALE | VOLLEYBALL | 1000 | 2007- 06-18 |
1622 | AMRIT | 28 | MALE | KARATE | 1000 | 2007- 09-05 |
1256 | AMINA | 36 | FEMALE | CHESS | 1100 | 2003- 08-15 |
1720 | MANJU | 33 | FEMALE | KARATE | 1250 | 2004- 04-10 |
2321 | VIRAT | 35 | MALE | CRICKET | 1050 | 2005- 04-30 |
- SELECT COUNT(DISTINCT SPORTS) FROM CLUB;
- SELECT CNAME, SPORTS FROM CLUB
WHERE DOAPP<"2006-04-30" AND CNAME LIKE "%NA"; - SELECT CNAME, AGE, PAY FROM CLUB WHERE GENDER = "MALE" AND PAY BETWEEN 1000 AND 1200;
Consider the tables PRODUCT and BRAND given below:
Table: PRODUCT | ||||
PCode | PName | UPrice | Rating | BID |
P01 | Shampoo | 120 | 6 | M03 |
P02 | Toothpaste | 54 | 8 | M02 |
P03 | Soap | 25 | 7 | M03 |
P04 | Toothpaste | 65 | 4 | M04 |
P05 | Soap | 38 | 5 | M05 |
P06 | Shampoo | 245 | 6 | M05 |
Table: BRAND | |
BID | BName |
M02 | Dant Kanti |
M03 | Medimix |
M04 | Pepsodent |
M05 | Dove |
Write SQL queries for the following:
- Display product name and brand name from the tables PRODUCT and BRAND.
- Display the structure of the table PRODUCT.
- Display the average rating of Medimix and Dove brands.
- Display the name, price, and rating of products in descending order of rating.