Sql Consider the following Database Schema.PK Cu COOEPKRM UBERcontainePKFKI L RPKCus LRAMECUS FNAMECus INITALCuS AREACODECuS PHONECUS BALANCELIMA MUMDERFKI cus CODEV DATEFIC2P.CODELINE UNITSLINE PRICEin found inVENDORPRODUCTPK y CODEPKP CODEV_NAMEV CONTACTV_AREACODEV_PHONEV_STATEV_ORDERP DESCRIPTPINDATEP QOHP MINP_PRICEP DISCOUNTFK1 V CODESuppose that you want a table listing for the following conditions:• the V CODE is either 25595 or 24288• and the P_PRICE is greater than $100.Write a SQL query to generate this table listing for the P_DESCRIPT, P PICE and V_CODE.

Suppose that you want a table listing for the following conditions: the V CODE is either 25595 or 24288 and the P_PRICE is greater than $100. Write a SQL query to generate this table listing for the P_DESCRIPT, P_PICE and V_CODE.

Suppose that you want a table listing for the following conditions: the V CODE is either 25595 or 24288 and the P_PRICE is greater than $100. Write a SQL query to generate this table listing for the P_DESCRIPT, P_PICE and V_CODE.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

_&plase helo with 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..
A database has 4 transactions, shown below.TID Date items_boughtT100 10/15/04 {K, A, D, B}T200 10/15/04 {D, A, C, E, B}T300 10/19/04 {C, A, B, E}T400 10/22/04 {B, A, D}Assuming a minimum level of support min_sup = 60% and a minimum level ofconfidencemin_conf = 80%:(a) Find all frequent itemsets (not just the ones with the maximum width/length) using the Apriori algorithm. Show your work—just showing the final answer is not acceptable. For each iteration show the candidate and acceptable frequent itemsets. You should show your work similar to the way the example was done in thePowerPoint slides.(b)List all of the strong association rules, along with their support and confidence values, whichmatch the following metarule, where X is a variable representing customers and itemi denotes variables representing items (e.g., “A”, “B”, etc.).x  transaction, buys(X, item1)  buys(X, item2)  buys(X, item3)Hint: don’t worry about the fact that the statement above uses relations. The point of the…
In a database, there are values a data element can take, and there are values it cannot take. In other words, data element values should be within correct ranges. For example, ages of employees should be between 18 and 80. Which one of the following database features ensures that? a) Security b) Data Integrity c) Data Sharing d) Concurrency Control e) Data Independence Which one/ones of the following uniquely distinguishes the tuples of a relation? a) primary key b) super key c) candidate key d) alternate key e) foreign key f) a, c, and e g) a, b, c, d, and e. h) a, b, c, and d. Which one(s) of the following may exist more than once for a relation? a) primary key b) super key c) candidate key d) alternate key e) foreign key f) a, b, and c g) b, c, and d h) b, c, d, and e h) a, b, c, and d. i) a, b, c, and e j) a, b, c, d, and e. In the…
create Database CTU_YOURICASNOGOUSE CTU_YOURICASNO;GOCREATE TABLE Course( CourseID int PRIMARY KEY, CourseName varchar(255), CourseDesc varchar(255),);CREATE TABLE Students( ICASNo int Primary Key, StudentName varchar (255)NOT NULL, StudentSurname varchar (255)NOT NULL, StudentContact varchar (255)NOT NULL, StudentEmail varchar(255)NOT NULL, HighSchoolAttended varchar(255)NOT NULL, courseID int,);CREATE TABLE Semester( SemesterID int Primary Key, SemesterStartDate varchar(255)NOT NULL, SemesterEndDate varchar(255)NOT NULL, ICASNo varchar(255),);CREATE TABLE Facilitator( FacilitatorID int Primary Key, FacilitatorName varchar(255) Not Null, FacilitatorContact varchar(255)Not Null, FacilitatorEmail varchar(255)Not Null, ICASNo varchar(255)Not Null, ); CREATE TABLE Module( ModuleID int Primary Key, ModuelName varchar(255)Not Null, ModuleDuration varchar(255)Not Null, FacilitatorID varchar(255)Not Null,); Using the…
Given the relational database shop defined in the script below; create database shop;use shop; create table users( id int null auto_increment, firstname varchar(255), lastname varchar(255) not null, primary key (id)); create table items( id int null auto_increment, name varchar(255), price float, primary key (id)); create table orders( id int null auto_increment, id_users int not null, id_items int not null, primary key (id), foreign key (id_users) references users(id), foreign key (id_items) references items(id)); write three SQL queries to answer the following questions 1.- All products(items) in the shop catalog; product code, name and price 2.- Products sold in the shop; product code, name and price and full name of buyer. 3.- Products in stock (not sold); product code, name and price
6. In an e-commerce site, a seller decides to provide an M% discount on his XYZ company's those products where the product quantity is greater than 65 in the database. Implement the server-side of the web page in PHP and MySQL. The database tables must be illustrated with the code. [Here, M is the last digit of your ID] InformationId:0And Please proivide Right ans in short.
Which of the following is a document database? a. MongoDB b. Base c. Neo4J d. InfluxDB We have an itemset I whose support is 20. Further we know that seven of the sets that contain I also contain j. What is the confidence of the association rule I→j? a. 7/20 b. 20/7 c. 13/20 d. 7/13
Give a relational database schema for the following: EMPLOYEE (Fname, Minit, Lname, SSN, Bdate, Address, Sex, Salary, Super_ssn, Dno) PK= Ssn FK= Super_ssn DEPARTMENT ( Dnamc, Dnumbcr, Mgr_ssn, Mgr_start_datc) PK= Dnumbcr FK= Dno DEPT_LOCATIONS (Dnumber, Dlocation) PK= Dnumber FK= Dnumbcr PROJECT (Pname, Pnumber, Plocation, Dnum) PK= Pnumber FK= Pno WORKS_ON (Essn, Pno, Hours) PK= Pno FK= ssn DEPENDENT (Essn, Dependent_name, Sex, Bdate, Relationship) PK= Essn FK= Ssn
Based on the following database schemas: Homestay (homestayNo (PK), homestayName, address, telNo, city)Room (roomNo, homestayNo (PK), type, price)Booking (homestayNo, guestNo (PK), dateFrom, dateTo, roomNo) Guest (guestNo (PK), guestName, guestAddress, guestTelNo) Assume the following indexes exist:a) a hash index with no overflow on the roomNo and homestayNo as a composite primary key in Room;b) a clustering index on the foreign key attributes homestayNo in Room;c) a B⁺-tree index on the price attribute in Room;d) a secondary index on the attribute type in Room. nTuples(Room) = 20000 bFactor(Room) = 200nTuples(Homestay) = 100 bFactor(Homestay) = 40nTuples(Booking) = 100000 bFactor(Booking) = 60nDistincthomestayNo(Room) = 50 nDistinctroomNo(Booking) = 150nDistincttype(Room) = 10…
Based on the following database schemas:Homestay (homestayNo (PK), homestayName, address, telNo, city)Room (roomNo, homestayNo (PK), type, price)Booking (homestayNo, guestNo (PK), dateFrom, dateTo, roomNo)Guest (guestNo (PK), guestName, guestAddress, guestTelNo)Assume the following indexes exist:a) a hash index with no overflow on the roomNo and homestayNo as a composite primary key in Room;b) a clustering index on the foreign key attributes homestayNo in Room;c) a B+-tree index on the price attribute in Room;d) a secondary index on the attribute type in Room.nTuples(Room) = 20000 bFactor(Room) = 200nTuples(Homestay) = 100 bFactor(Homestay) = 40nTuples(Booking) = 100000 bFactor(Booking) = 60nDistincthomestayNo(Room) = 50 nDistinctroomNo(Booking) = 150nDistincttype(Room) = 10 nDistincthomestayName(Homestay) = 50nDistinctprice(Room) = 500 maxprice(Room) = 500minprice(Room) = 200 nLevelstype(I) = 2nLevelshomestayNo(I) = 2 nLfBlocksprice(I) = 50nLevelsprice(I) = 2 Log2100 = 6.64Log250 =…
Database Systems Question 1. A B C D 1 20 M 101 2 21 N 102 3 22 O 103 1 21 M 104 4 22 O 105 Find out which of the following dependencies are valid or not. For each dependency, briefly write the reasons. A -> BCD AB -> C AB -> D D -> ABC BC -> A
Our MongoDB database consists of a ‘class’ collection in which documents represent students and have fields ‘name’, ‘age’ and ‘address’. The value of the field ‘address’ is an embedded document with fields ‘number’, ‘street’ and ‘city’. How would you query documents for students from Belfast? a. db.class.find ( { “class.address.city”: “Belfast” } ) b. db.class.find ( { city: “Belfast” } ) c. a) db.class.find ( { “address.city”: “Belfast” } ) d. db.class.find ( { “class.city”: “Belfast” } ) NoSQL is an umbrella term for several databases. These are typically used to address problems with what type of database. a. Object-oriented databases b. XML files c. Relational Databases d. Spreadsheets