Questions
ECON3310001.1251 Midterm Exam II
Numerical
Expanding Route Data Join the routes, airlines, and airports tables to obtain: airline_id, airline_name, airline_country, source_city, source_country, target_city, target_country. Let "cells" be the product between the arity and the cardinality of a table. Question: What is the total number of cells in the result (rows × columns)?
View Explanation
Verified Answer
Please login to view
Step-by-Step Analysis
Start by identifying what the question is asking: compute the total number of cells (rows × columns) in the result of joining three tables (routes, airlines, airports) and selecting specific columns. The phrase "Let 'cells' be the product between the arity and the cardinality of a table" defines a cell as a single value in one column of one row, so to get the total number of cells in the final result you need two things: (1) how many columns are in the final projection, and (2) how many rows result from the join.
First, determine the output schema (the number of columns) after projection. The question lists seven columns to select: airline_id, airline_name, airline_country, source_city......Login to view full explanationLog in for full answers
We've collected over 50,000 authentic exam questions and detailed explanations from around the globe. Log in now and get instant access to the answers!
Similar Questions
Two tables may be joined:
Question at position 51 We can calculate the cumulative sum for each date using the following SQL statement: SELECT t1.date, t1.precip AS 'daily precip', SUM(t2.precip) AS 'cum. precip' FROM rainfall AS t1 INNER JOIN rainfall AS t2 ON t2.date >= t1.date GROUP BY t1.date ORDER BY t1.date;TrueFalse
Question at position 57 We can calculate the cumulative sum for each date using the following SQL statement: SELECT t1.date, t1.precip AS 'daily precip', SUM(t2.precip) AS 'cum. precip' FROM rainfall AS t1 INNER JOIN rainfall AS t2 ON t2.date >= t1.date GROUP BY t1.date ORDER BY t1.date;TrueFalse
Question at position 57 We can calculate the cumulative sum for each date using the following SQL statement: SELECT t1.date, t1.precip AS 'daily precip', SUM(t2.precip) AS 'cum. precip' FROM rainfall AS t1 INNER JOIN rainfall AS t2 ON t2.date >= t1.date GROUP BY t1.date ORDER BY t1.date;TrueFalse
More Practical Tools for Students Powered by AI Study Helper
Making Your Study Simpler
Join us and instantly unlock extensive past papers & exclusive solutions to get a head start on your studies!