et read_routes (routes_source: TextI0, airports: AirportDict) -> RouteDict: """Return the flight routes from routes_source, including only the ones that have an entry in airports. If there are multiple routes between routes_source and a destination (on different airlines for example), include the destination only once. Routes that include null airport IDs should still be included, but routes that have empty IATA should be excluded. >>> from io import StringIO >>> routes_src = StringIO(TEST_ROUTES_SRC) >>> actual = >>> actual == True routes = {} src_index = dst_index - read_routes (routes_src, TEST AIRPORTS_DICT) TEST ROUTES_DICT_FOUR_CITIES ROUTE_DATA_INDEXES["Source airport"] ROUTE_DATA_INDEXES["Destination airport"] # Complete this function. # Note that each value in the resulting Hictionary is a set of IATA codes.

et read_routes (routes_source: TextI0, airports: AirportDict) -> RouteDict: """Return the flight routes from routes_source, including only the ones that have an entry in airports. If there are multiple routes between routes_source and a destination (on different airlines for example), include the destination only once. Routes that include null airport IDs should still be included, but routes that have empty IATA should be excluded. >>> from io import StringIO >>> routes_src = StringIO(TEST_ROUTES_SRC) >>> actual = >>> actual == True routes = {} src_index = dst_index - read_routes (routes_src, TEST AIRPORTS_DICT) TEST ROUTES_DICT_FOUR_CITIES ROUTE_DATA_INDEXES["Source airport"] ROUTE_DATA_INDEXES["Destination airport"] # Complete this function. # Note that each value in the resulting Hictionary is a set of IATA codes.

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

Task 4: The InstantRide User Satisfaction team is a core team for InstantRide, and they focus on increasing the customer satisfaction. They want to learn the travel time for each ride in the system. You need to return the USER_ID, and the TRAVEL_TIME column which is calculated using the TIMEDIFF function on the TRAVEL_END_TIME and the TRAVEL_START_TIME.
Write a stored procedure called sp_apply_discount() that will apply percent discount to books in a subject. The stored procedure takes in 2 parameters, percentDiscount (DECIMAL(8,2)) and subject (VARCHAR(120)). Using these parameters, the stored procedure computes the discount for the book cost and stores it in the FINAL_PRICE field. For example, the following stored procedure call: call sp_apply_discount(0.15, 'Database');would compute 15% percent discount from the book cost in the Database subject category and store it in the FINAL_PRICE column as depicted in this image:
3. Show the ID of all the authors that do not have any books. a). Using a join: b). Using a subquery:
Given the following dataframe examclub, create the statement that would group examclub by Club Use and assign it to club_use. examclub = pd.read_csv("exama.csv") examclub 0 1 2 3 4 5 6 7 8 9 Member Join Date Club Use Pool Tim Berners-Lee Pool Leonard Kleinrock Golf Charles Babbage Golf Konrad Zuse Spa Steve Wozniak Spa Steve Jobs Golf Spa Pool Golf Member Name Member Level Dues Paid Dues Owed Gold 5250 456 Silver 4406 1200 Bronze 8661 300 Silver 7075 100 Bronze 2524 2000 Gold 2890 Bronze 1030 Silver 789 Bronze 1738 Gold 287 1/1/2020 1/2/2020 1/3/2020 2/1/2020 3/2/2020 4/3/2020 1/1/2020 1/2/2020 3/2/2020 4/3/2020 Ada Lovelace John Atanasoff Alan Turing Bill Gates Then use club_use and write the following statements. Display the Pool group. Display the sum of the Dues Paid and Dues Owed by groups. Display the max of the only the Dues Paid by the groups. 2793 7172 6362 5982 7917
A foreign key is the candidate key that is selected to identify tuples. True or False.
(1) for each Customer (e.g., customer C), display all other customers who have higher salary than this Customer (e.g., customer C). (use inner join, display each customer’s ID, name, and all higher salaries, you don’t need to display information about the customers who have higher salary.) (2) for each Customer (e.g., customer C), display all other customers who have higher salary and are younger than this Customer (e.g., customer C).
calculate_trip_time( iata_src: str, iata_dst: str, flight_walk: List[str], flights: Flight Dir float: def ) -> """ Return a float corresponding to the amount of time required to travel from the source airport to the destination airport to the destination airport, as outlined by the flight_walk. The start time of the trip should be considered zero. In other words, assuming we start the trip at 12:00am, this function should return the time it takes for the trip to finish, including all the waiting times before, and between the flights. If there is no path available, return -1.0 >>> calculate_trip_time("AA1", "AA2", ["AA1", "AA2"], TEST_FLIGHTS_DIR_FOUR_ 2.0 "AA7", ["AA7", "AA1"], TEST_FLIGHTS_DIR_FOUR_ "AA7", ["AA1", "AA7"], TEST_FLIGHTS_DIR_FOUR_ "AA1", ["AA1"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA2", ["AA4", "AA1", "AA2"], TEST_FLIGHTS_DI "AA3", ["AA1", "AA2", "AA3"], TEST_FLIGHTS_DI >>> calculate_trip_time("AA1", "AA4", ["AA1", "AA4"], TEST_FLIGHTS_DIR_FOUR_ 2.0 || || || >>>…
Given the following Class table, write the DML statement to add a new class with the following information: The new class is "DBDA-001" with the class code 10095 The new class will be for Section 1 on Thursday 6:00-9:00 p.m The room for the new class is at "CIS 101". The professor's code (emp_code) to teach the new class is still undetermined.
Below are some rows of the PROVIDERS table for a factory: PCODE 10192 98411 0489035 NAME Hans, Inc. Tools and More Motors Inc. PHONE 231 - 3092 231-1029 993 - 1821 All providers from the factory zone of the city start with 231. You want to get the providers that are in the factory zone of the city. Which of the following is more appropriate? O a. O b. SELECT * FROM PROVIDERS WHERE PHONE LIKE '% 231' O C. O d. SELECT * FROM PROVIDERS WHERE PHONE LIKE $231%' SELECT * FROM PROVIDERS WHERE PHONE LIKE 231 SELECT * FROM PROVIDERS WHERE PHONE LIKE '%231%'
CUSTOMER (cid, name, phone_number, address) LOCATION (lid. title, city, country) TRIP (tid, lid, trip_date, duration_in_days, price) BOOKING (cid, tid) Find the trip bookings of "Joe Smith". Your answer: O (ti>|3i( € Booking A3ci( € Customer An "Joe Smith" O ti>|3 ci ( € Booking A3 ci, n ( E Customer An-"Joe Smith" ) o ti>|3 ci ( € Booking A 3n, pn, a ( € Customer An- "Joe Smith" )) (|3 ci, ti ( € Booking A 3 ei, n, pn, a ( €E Customer An-"Joe Smith" ))
Customers CustomerID INT ◆ FirstName VARCHAR(50) ◆ LastName VARCHAR(50) H > Email VARCHAR(100) > Address TEXT Indexes F | Orders OrderID INT > CustomerID INT > OrderDate DATE ◆ TotalAmount DECIMAL (10,2) Indexes # ShippingInformation ShippingID INT > OrderID INT → ShippingAddress TEXT ShippingDate DATE -K > EstimatedArrivalDate DATE → ShipmentStatus VARCHAR(50) Indexes Reviews ReviewID INT > ProductID INT > CustomerID INT ◆ Rating INT Comment TEXT > DatePosted DATE Indexes OrderDetails OrderDetailID INT ▶I > OrderID INT HI-KO ProductID INT → Quantity INT Subtotal DECIMAL (10,2) Indexes T Categories CategoryID INT ◆ CategoryName VARCHAR(255) Indexes Products ProductID INT -H ProductName VARCHAR(255) > Description TEXT ◆ Price DECIMAL (10,2) -I+ CategoryID INT > DiscountID INT Indexes Discounts DiscountID INT ◆ Discount Code VARCHAR(50) ◆ Discount Percentage DECIMAL (5,2) > StartDate DATE > EndDate DATE Indexes For the design above, Write in SQL a query to print customer names who made…
DONT COPY FROM CHEGG == REPORT + DISLIKE 9. List the genre name and count of all tracks in each genre, in descending order of track count (so the genre with the most tracks is listed first)