SI schema contains customers that have bought one or more vehicles. They can be classified using the following criteria: Customers that have bought only one car (one-time buyer) Customer that have bought two cars (two-time buyer) Customers that have bought more than two cars (frequent buyer) Using a SINGLE SELECT statement, display a list of customers with their names and what type of buyer they are for all those customers that have bought Mercedes car makes.

SI schema contains customers that have bought one or more vehicles. They can be classified using the following criteria: Customers that have bought only one car (one-time buyer) Customer that have bought two cars (two-time buyer) Customers that have bought more than two cars (frequent buyer) Using a SINGLE SELECT statement, display a list of customers with their names and what type of buyer they are for all those customers that have bought Mercedes car makes.

Oracle 12c: SQL

3rd Edition

ISBN:9781305251038

Author:Joan Casteel

Publisher:Joan Casteel

Chapter13: Views

Section: Chapter Questions

Problem 4HOA: Attempt to view the structure of the HOMEWORK13 view.

See similar textbooks

Similar questions

QUESTION 1 SQL: Consider the following database schema for flight reservation database. A flight can be booked by many passengers, and a passenger can book different flights. For each booking, the date of the flight and price are recorded. The database schema is given below Flight (FID:int, Airline:string(unique), DepartingAirport:string, ArrivalAirport:string, Rating: int (1,2,3,4,5) ) Booking (FlightID: int, PassengerCPR: int, Date: date, Time: time, Price: double) Passenger (CPR:int, FirstName: String, LastName: String, Address:String) Write SQL Code to: Create the Flight Table.List the Departing Airport and Arrival Airport for all flights with rating 4 or 5.
Safe Datalog Rule: A Datalog rule is of the form:p :- q1, ..., qn. where n>0 and p is a positive atomic formula and q1, ..., and qn are positive or negative atomic formulas. A positive atomic formula is of the form:r(x1, ..., xm) and a negative atomic formulas of the form:not r(x1, ..., xm) where m>0 and r is a relation name and x1 , ..., xm are either numbers or variables. Relation names and variables are made up of alphabetic letters or digits and start with a lower-case alphabetic letter. Even though the variables are made up of lower and upper-case letters, these should be considered case-insensitive. For example, cno, CNO, cNO, etc all should be treated as the same variable. Some examples of Datalog rules are given below: ancestor(x1, y1) :- parent(x1, y1). teaches(tno,cno) :- faculty(tno), course(cno), assigned(tno,cno). p(x,y) :- q(2,x), r(u,45,z), s(a,b,22). p(x,y,z) :- q(x), not r(y,20), s(x,z). A Datalog rule is considered “Safe” if all variables that appear to the left…
CSC 472 Introduction to Database Systems Project Consider the contents of output tuples generated by a join operator. The advantage of "late materialization" approach is that future operators in the query plan never need to go back to the base tables to get more data. Group of answer choices True False
10 In a data dictionary, some data elements have _____ rules. For example, an employee’s salary must be within the range defined for the employee’s job classification. a. mastered b. domain c. range d. validity
What is the use of group by clause?
True or False : ___ Multiple Inheritance happens when a class has more than one sub-class. This problem can be observed in Programming Languages as well. ___ Given two relations named A and B, if we q-JOIN A and B, the maximum number of attributes in the result relation could be (the number of attributes of A) times(*) the number of attributes of B). ____ * in an SQL SELECT statement means “all the tuples”. ____ In relational algebra, Cartesian Product (X) can be implemented using the q-JOIN operator. Cartesian Product ISA q-JOIN where q-condition always evaluates to true. ____ SQL is based on Predicate Calculus. A query in SQL always specifies what should be included in the query result.
How do data type constraints enhance data integrity when working with complex types?
Attempt to view the structure of the HOMEWORK13 view.
A database has four transactions. Let min sup = 60% and min conf = 80%.cust ID TID items bought (in the form of brand-item category)01 T100 {King’s-Crab, Sunset-Milk, Dairyland-Cheese, Best-Bread}02 T200 {Best-Cheese, Dairyland-Milk, Goldenfarm-Apple, Tasty-Pie, Wonder-Bread}01 T300 {Westcoast-Apple, Dairyland-Milk, Wonder-Bread, Tasty-Pie}03 T400 {Wonder-Bread, Sunset-Milk, Dairyland-Cheese}(a) At the granularity of item category (e.g., itemi could be “Milk”), for the ruletemplate,∀X ∈ transaction, buys(X,item1) ∧ buys(X,item2) ⇒ buys(X,item3) [s,c],list the frequent k-itemset for the largest k, and all the strong association rules(with their support s and confidence c) containing the frequent k-itemset for thelargest k.(b) At the granularity of brand-item category (e.g., itemi could be “Sunset-Milk”),for the rule template,∀X ∈ customer, buys(X,item1) ∧ buys(X,item2) ⇒ buys(X,item3),list the frequent k-itemset for the largest k (but do not print any rules).
DEL (30 %): Normalization:Let R bea relational schema and FR corresponding set of functional dependencies.R = ABCDEFR = {A → C, B → D, C → A}a) What normal form is the R schema in?b) Gradually normalize the scheme to 3NF, and for each new scheme, specify thekeys and associated functional dependencies
Assume you need to store book data in a structured manner. Either more books should be added, or books that are already there should only be removed from one side of the shelf. Choose the best data structure for this case and describe it. Give a dynamic example of how books are added to a shelf. Additionally, what happens when there isn't enough room in a data structure for new data to be added?
SQL ER DIAGRAM DRAWING! Draw an ER diagram based on the simplified description given below (with diagrams.net for example) The restaurant's cash register system supports data transfer between the restaurant hall and the kitchen, collects information about ordered products for invoices, and keeps track of product delivery times. In its database, we want to store information about menu items, table invoices (table-specific invoices), orders and waiters. Each product on the menu has an identifier, name and price, and possibly one or more phrases describing the product (e.g. "lactose-free" or "vegan"). Both the product identifier and the name are unique. When the table party arrives at the restaurant and makes the first order, a table bill is opened on the table, where all the orders of the table are collected. The table bill has a unique identifier, the physical table number of the restaurant hall, the time the bill was opened, the total price and the time of payment. Each table…