A gym wants to store user profile information in a NOSQL database. Write MongoDB interactive shell commands to complete the tasks below. Q.4.1 Create a database called gym_. The part should be replaced with your student number, for example gym_29876543.
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- Create a hash function-based direct file organization to keep an item file with the item number as its primary key. The main keys of a sample collection of item file records are listed below. Assume that each bucket can hold two records and that each block in the main storage area can hold a maximum of four records. Use the hash function h(k) = k mod 8, where k indicates the primary key's numerical value. (item number).369 760 692 871 659 975 981 115 620 208 821 111 554 781 181 965You have a frequent itemset I={football, cricket, swimming, climbing} that contains 4 items. What does it mean when you say that I is a maximal itemset? a. There is no other frequent itemset for the given dataset b. a) There is no superset of I that is a frequent itemset c. The set {cricket, swimming, climbing} is not frequent d. All frequent itemsets have 4 items Look at the command for the Document Database below. What does it do? db.superheroes.insert{ { collection: “people”, forename: “Bruce”, surname: “Banner”, age: 40 } }; a. It deletes a record for Bruce Banner b. a) It inserts a record for Bruce Banner in the collection superheroes c. It inserts the record for Bruce Banner in the collection people d. It creates a new collection for Bruce Banner in the collection peopleOur 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
- in oracle mysql commend line client . i want to ccreate a data like this create database test;Create table SPORTSCARS{ -> S_id int not null, -> S_YEAR NUMBER(4,0), -> S_Make VARCHAR 2(20), -> S_Model VARCHAR 2 (20), -> S_PRICE DECIMAL (10,0), -> Primary key (S_id)INSERT into SPORTSCARS values(1, 2015 , 'Audi' , 'R8' , 112996); INSERT into SPORTSCARS values(2, 2013 , 'Ford' , 'Mustang' , 22995); INSERT into SPORTCARS values(3, 2020 , 'Honda' , 'RDX' , 34899); INSERT into SPORTSCARS values(4, 2009 , 'Porsche' , '911' , 90800);INSERT into SPORTSCARS (I'd, Year, Make, Model, Price) values(1, 2015 , 'Audi' , 'R8' , 112996); INSERT into SPORTSCARS(I'd, Year, Make, Model, Price) values(2, 2013 , 'Ford' , 'Mustang' , 22995); INSERT into SPORTCARS(I'd, Year, Make, Model, Price) values(3, 2020 , 'Honda' , 'RDX' , 34899); INSERT into SPORTSCARS(I'd, Year, Make, Model, Price) values(4, 2009 , 'Porsche' , '911' , 90800); ------------- it shows error like this…Write a script that adds an index to the MyGuitarShop database for the zip code field in the Addresses table. Write a script that implements the following design in a database named MyWebDB: In the Downloads table, the UserID and ProductID columns are the foreign keys. In the Users table, the EmailAddress and LastName columns are required, but the FirstName column is not. Include a statement to drop the database if it already exists. Include statements to create and select the database. Include any indexes that you think are necessary. 3. Write a script that adds rows to the database that you created in exercise 2. Add two rows to the Users and Products tables. Add three rows to the Downloads table: one row for user 1 and product 1; one for user 2 and product 1; and one for user 2 and product 2. Use the GETDATE function to insert the current date and time into the DownloadDate column. Write a SELECT statement that joins the three tables and retrieves the data from these tables like…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.
- 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 priceSuppose a web application implements authentication by constructing an SQL query from HTML from data using PHP’s prepared statements. What would happen if an attacker entered FRANK’ OR 1=1; -- in the web form’suser-name field?(a) The text will corrupt the query structure and the database will view it as a syntax error(b) The text will modify the structure of the SQL query and possibly bypass authentication(c) The application will try to authenticate a user whose user-name is FRANK’ OR 1=1; --(d) The text will be confused as the password and authentication will probably failBased 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 =…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. --db.class.find ( { “address.city”: “Belfast” } ) d. --db.class.find ( { “class.city”: “Belfast” } )Imagine a database of students where the StudentID is the main key, and there are other indexes on Major, Age, MaritalStatus, and HomeZipCode (all secondary keys). Let's assume the institution wanted a list of MIS or computer science majors who were over 25 and married and were from the 45462 postcode code OR computer engineering majors who were single and were from the 45462 zip code. In any case, they wanted the list to come from the 45462 zip code. How can indexes be used to guarantee that individuals will only have access to the info that fulfills this prerequisite?