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- Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions: Transaction SQL Statement Retrieve the flight number, departure and arrival airports of all British Airways. Retrieve the name of every passenger together with their flight number and the associated company. Retrieve all flights departed from all airports in London. Retrieve the ticket numbers…Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions:1. Retrieve all rows in Airport table for all the airports in London city.2. Retrieve all British and German passengers.3. Retrieve all names of all the passengers.4. Retrieve the flight number, departure and arrival airports of all British Airways.5. Retrieve the name of every passenger together with their…Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions: Transaction SQL Statement Retrieve all rows in Airport table for all the airports in London city. Retrieve all British and German passengers. Retrieve all names of all the passengers. Retrieve the flight number, departure and arrival airports of all British Airways. Retrieve the name of…
- Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions: please if you could give all the sql statements needed i will appreciate that, and i promise to put thump up Transaction SQL Statement Retrieve all rows in Airport table for all the airports in London city. Retrieve all British and German passengers. Retrieve all names of all the passengers.…CUSTOMERColumns = 7, Rows = 10 CustomerID LastName FirstName Address ZIP Phone Email 1 Shire Robert 6225 Evanston Ave N 98103 206-524-2433 Robert.Shire@somewhere.com 2 Goodyear Katherine 7335 11th Ave NE 98105 206-524-3544 Katherine.Goodyear@somewhere.com 3 Bancroft Chris 12605 NE 6th Street 98005 425-635-9788 Chris.Bancroft@somewhere.com 4 Griffith John 335 Aloha Street 98109 206-524-4655 John.Griffith@somewhere.com 5 Tierney Doris 14510 NE 4th Street 98005 425-635-8677 Doris.Tierney@somewhere.com 6 Anderson Donna 1410 Hillcrest Parkway 98273 360-538-7566 Donna.Anderson@elsewhere.com 7 Svane Jack 3211 42nd Street 98115 206-524-5766 Jack.Svane@somewhere.com 8 Walsh Denesha 6712 24th Avenue NE 98053 425-635-7566 Denesha.Walsh@somewhere.com 9 Enquist Craig 534 15th Street 98225 360-538-6455 Craig.Enquist@elsewhere.com 10 Anderson Rose 6823 17th Ave NE 98105 206-524-6877 Rose.Anderson@elsewhere.com EMPLOYEEColumns = 5, Rows = 5 EmployeeID LastName FirstName…CUSTOMERColumns = 7, Rows = 10 CustomerID LastName FirstName Address ZIP Phone Email 1 Shire Robert 6225 Evanston Ave N 98103 206-524-2433 Robert.Shire@somewhere.com 2 Goodyear Katherine 7335 11th Ave NE 98105 206-524-3544 Katherine.Goodyear@somewhere.com 3 Bancroft Chris 12605 NE 6th Street 98005 425-635-9788 Chris.Bancroft@somewhere.com 4 Griffith John 335 Aloha Street 98109 206-524-4655 John.Griffith@somewhere.com 5 Tierney Doris 14510 NE 4th Street 98005 425-635-8677 Doris.Tierney@somewhere.com 6 Anderson Donna 1410 Hillcrest Parkway 98273 360-538-7566 Donna.Anderson@elsewhere.com 7 Svane Jack 3211 42nd Street 98115 206-524-5766 Jack.Svane@somewhere.com 8 Walsh Denesha 6712 24th Avenue NE 98053 425-635-7566 Denesha.Walsh@somewhere.com 9 Enquist Craig 534 15th Street 98225 360-538-6455 Craig.Enquist@elsewhere.com 10 Anderson Rose 6823 17th Ave NE 98105 206-524-6877 Rose.Anderson@elsewhere.com EMPLOYEEColumns = 5, Rows = 5 EmployeeID LastName FirstName…
- 134. EMPDET is an external table containing the columns EMPNO and ENAME. Which command would work in relation to the EMPDET table? a. UPDATE empdetSET ename = 'Amit'WHERE empno = 1234; b. DELETE FROM empdetWHERE ename LIKE 'J%'; c. CREATE VIEW empvuASSELECT * FROM empdept; d. CREATE INDEXempdet_idxON empdet(empno);Db&__Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions:1. Retrieve all rows in Airport table for all the airports in London city.2. Retrieve all British and German passengers.3. Retrieve all names of all the passengers...Complete main.cpp to invoke the TaskMenu operations: viewPendingTasks(); viewCompletedTasks(); addNewTask(); editTask(); deleteTask();
- As per our guidelines, we are supposed to answer only 1st three parts. Kindly repost the remaining questions separately. 4.1 use gym_29876543 4.2 db.createCollection("userProfiles") db.userProfiles.insertMany([ {"Name" : "Dominic","Surname":"Badeaux","Date_of_Birth":1982-09-04,"FitnessLevel":1}, {"Name" : "John","Surname":"Dlamini","Date_of_Birth":1974-05-18,"FitnessLevel":2} ]) 4.3 db.userProfiles.find() arrow_forward Step 2 Complete code: use gym_29876543 db.createCollection("userProfiles") db.userProfiles.insertMany([ {"Name" : "Dominic","Surname":"Badeaux","Date_of_Birth":1982-09-04,"FitnessLevel":1}, {"Name" : "John","Surname":"Dlamini","Date_of_Birth":1974-05-18,"FitnessLevel":2} ]) db.userProfiles.find() Q.4.4 Query all the user profiles where the fitness level of the user is equal to 2. Q.4.5 Query all the user profiles where the date of birth of the user is from 1980‐01‐01 to1982‐12‐31 (including both dates)Create a clustered column chart that shows the total amount each active customer with a data plan must pay. Format the total pay column to currency and give the chart an appropriate title. Remember to label the axes. (Hint: Create a query and export it to a spreadsheet application to create the chart.) Ensure that the chart is labelled appropriately and is placed on a new sheet. Name the Spreadsheet as MGMT2006_G#_. For example, MGMT2006_G50_ Jane DoeTo vary your reporting, you decided to include graphical representation. Create a clustered column chart that shows the total amount each active customer with a data plan must pay. Format the total pay column to currency and give the chart an appropriate title. Remember to label the axes. (Hint: Create a query and export it to a spreadsheet application to create the chart.) Ensure that the chart is labelled appropriately and is placed on a new sheet. Name the Spreadsheet as MGMT2006_G#_<first name last name>. For example, MGMT2006_G50_ Jane Doe.