SQL code copied to buffer
Group tasks by:
Support the project.
- 1. Get the actors
- 2. Get the languages list
- 3. Retrieve Actor Names
- 4. Retrieve All Departments
- 5. Staff names
- 6. Product categories
- 7. Ordered Languages List
- 8. Top 5 Longest Films
- 9. Find stuff members by condition
- 10. Get the sorted list of films with condition
- 11. Find film names by description
- 12. Retrieve Actors by Name
- 13. Find the average length of a movie
- 14. Find foreign employees
- 15. Ordered Movie Titles
- 16. Find clients starting with the letter "A"
- 17. Find clients starting with the letter "A" (2)
- 18. Find the minimal and maximal film rental cost
- 19. Top 10 Movies by Title
- 20. Find long movies
- 21. Calculate the area of a circle
- 22. Calculate circle perimeter
- 23. Find active customers
- 24. Movies with above-average rental rates
- 25. Movies with the highest replacement cost
- 26. Get list of clients
- 27. Unique Movie Ratings
- 28. Get the restricted films list
- 29. Get list of restricted films
- 30. Create new address record
- 31. Update the postal code
- 32. Remove customer records
- 33. Addresses Lacking Postal Codes
- 34. Addresses with Even Postal Codes
- 35. Build shared surnames list
- 36. Get airports data
- 37. Find long-range aircraft
- 38. Identify Palindrome Names
- 39. What is SQL?
- 40. What is DBMS?
- 41. What is RDBMS?
- 42. What is a Database?
- 43. What is ACID?
- 44. What are DQL commands?
- 45. What is index in SQL?
- 46. SQL Tables joins types
- 47. Choose join type
- 48. Perform price update
- 49. Update replacement cost
- 50. Order of execution of logical operators
- 51. Difference between UNION and UNION ALL
- 52. Display a list of departments
- 53. Find Employees by Department
- 54. Find employee salary
- 55. Employees with high salaries
- 56. Employees with Above-Average Salaries
- 57. Find customers with even numbers
- 58. Find customers by phone prefix
- 59. Get unique customers list
- 60. How avoid accidental deletion?
- 61. What relation types exists in SQL?
- 62. Find non-Dollar/Euro countries
- 63. What is normalization in SQL?
- 64. What is a subquery?
- 65. Root categories list
- 66. Product List
- 67. Filtered list of products
- 68. Ten heaviest products
- 69. Determine the type of relationship
- 70. Sort the penguins
- 71. Find light weight penguins
- 72. Distribution penguins by islands
- 73. Find small penguins
- 74. Find small penguins species
- 75. Search by pattern
- 76. Flipper length to body mass rate
- 77. Penguins whose sex is unknown
- 78. Penguins with absent data
- 79. Heavy penguins
- 80. Count the penguins
- 81. Penguins and Islands
- 82. Medium sized bill Penguins
- 83. Penguins distribution
- 84. Common penguin species
- 85. Delete records
- 86. Delete employee records
- 87. Rename the table
- 88. Penguins stats
- 89. Create index
- 90. Create unique index
- 91. Drop table
- 92. Missing Data
- 93. Small bill Penguins
- 94. Not buyng customers
- 95. Penguins species
- 96. HAVING without aggregate
- 97. Duplicate Emails
- 98. Update Job Salaries
- 99. Create Penguins Table
- 100. Combine Penguin Lists
- 101. Unique Penguin List
- 102. Filter Little Penguins
- 103. Full-Text Index
- 104. Fare Conditions Types
- 1. Find customers full names
- 2. Find addresses using sub-query
- 3. Find addresses using JOIN
- 4. Find duplicate actor names
- 5. Most Popular Actor Surname
- 6. Find all the actors in the film
- 7. Find all films of an actor
- 8. Find the distribution of films by category
- 9. Find the average length of a movie by category
- 10. Find the number of films in which the actor took part
- 11. Find actors more popular than HENRY BERRY
- 12. Analyze monthly payment
- 13. Find the best month
- 14. Find the most popular film
- 15. Analyze rental data for film
- 16. Find the Managed Department
- 17. Employees on the Video Database Project
- 18. Find all customers with unshipped orders
- 19. Sort Movies by Multiple Fields
- 20. Get the longest movie
- 21. Get films list third page
- 22. Find the films never been rented
- 23. Find customers who did not return rented discs
- 24. Find average daily film rentals
- 25. Calculate daily income for the month
- 26. Generate dates table
- 27. Calculate the number of days off in a month
- 28. The average cost of renting a movie by category
- 29. Average film rental duration for each customer
- 30. Find Long Comedies
- 31. Find the distribution of customer activity
- 32. Find company stores details
- 33. Find clients who rented the film
- 34. Find minimum, maximum and average film duration
- 35. Find long movie categories
- 36. Find the number of employees
- 37. Find movie distribution by store
- 38. Find highly paid employees
- 39. Find employees by hire date
- 40. Get list of highly paid employees
- 41. Find valuable employees
- 42. Salary Ratio Calculation
- 43. Find the average client activity time
- 44. Find the average revenue
- 45. Find the store average revenue
- 46. Create a salary rating
- 47. Quarterly earnings analysis
- 48. Find the countries with the most customers
- 49. Find customer details
- 50. Find the count of rented disks
- 51. Find the number of returns
- 52. Find the least popular movies
- 53. Find the top spending customers
- 54. Films Without Available Inventory
- 55. Find languages not represented in films
- 56. Find movies that have never been rented
- 57. Clients with a high number of rentals
- 58. Films with the highest replacement cost
- 59. Count the rental delays
- 60. Calculate the percentage of delays
- 61. Get movie cast lists
- 62. Extract address and domain from email
- 63. Get a list of actors - namesakes
- 64. List Movies with Their Categories
- 65. Average Rental Duration
- 66. Movie rental prices by category
- 67. Get rolling payment amounts
- 68. Find the number of films in each category
- 69. Analyze customer payments
- 70. Find the most diverse clients
- 71. Find film distribution
- 72. Payments analyze
- 73. Get list of tables
- 74. Get table columns data
- 75. Get list of indexes
- 76. Distribution of clients by weekday
- 77. Client Rentals by Time of Day
- 78. Improve distribution of clients by weekday
- 79. Movies without actors records
- 80. Movies without cast records
- 81. Actors Excluding NC-17 Films
- 82. Average rentals count
- 83. Find repeat rentals
- 84. Find the distribution of clients by country
- 85. Find never been delayed films
- 86. Find most delayed films
- 87. Create department table
- 88. NC-17 Films about DBA
- 89. Films about Dogs or Cats
- 90. Clients whose first name is the last name of another client
- 91. Update Canadian postal codes
- 92. Enter Woodridge postal code
- 93. Enter new staff record
- 94. Create customer addresses view
- 95. Distribution of films by categories in JSON format
- 96. Generate a list of movies in JSON format
- 97. Category popularity analysis
- 98. Build a overal email list
- 99. Select clients without the letter "A"
- 100. Alter the staff table
- 101. Find films in several categories
- 102. Get a list of airports
- 103. Find Boeing aircraft
- 104. Get flights departed from Domodedovo
- 105. Get a list of aircraft from Domodedovo
- 106. Aircraft usage analysis
- 107. Find last names with double letters
- 108. Customers with matching name initials
- 109. Format Customer Names
- 110. Aircraft Lacking Business Class Seats
- 111. Get counts of seats by class
- 112. Get rows and seats count
- 113. Calculate the number of seats on flight
- 114. Get a list of airports with direct connections
- 115. Get a list of no-show passengers
- 116. Get a list of passengers
- 117. Find the flight delay
- 118. Get flights statistics
- 119. Find the fastest flight
- 120. Calculate the daily number of flights
- 121. Obtain a list of passengers
- 122. Get list of tables
- 123. Get information about the columns
- 124. Airports with one-way departures
- 125. Find airports relations
- 126. Get the passenger list
- 127. Get aircraft seat map
- 128. Get a list of planes in the air
- 129. What are DDL commands?
- 130. What are DML commands?
- 131. How is data stored in a relational database?
- 132. What is a constraint in SQL?
- 133. SQL constraints types
- 134. Choose tables join type
- 135. Calculate the tax
- 136. Get formatted list of films
- 137. What is a primary key?
- 138. Update customer's address
- 139. Adjust the rental cost
- 140. Find the tomorrow date
- 141. Start and End Dates of Current Month
- 142. Find the first and last dates of week
- 143. Display a table of airports
- 144. Count departing passengers
- 145. Number of passengers with total
- 146. Display a table of departures
- 147. Get a list of airports with more than one direct flight
- 148. Get list of tables (PostgreSQL)
- 149. A sub-departments list (JOIN)
- 150. Get a list of sub-departments
- 151. Get list of tables (SQL Server)
- 152. Find duplicate phone numbers
- 153. What is a covering index?
- 154. What is a view in SQL?
- 155. Move film between categories
- 156. Find a June 2005 hit
- 157. Get product category color counts
- 158. Find films to share
- 159. How to find common rows in SQL?
- 160. Jobs Without Specific Requirements
- 161. Orders shipped in the following month
- 162. Update project information
- 163. Top states by population
- 164. What is a materialized view?
- 165. Reduced salaries
- 166. List of categories
- 167. List of subcategories
- 168. What is a SQL transaction?
- 169. What is a correlated subquery?
- 170. Create a phonebook
- 171. Staff Availability Report
- 172. What is "PIVOT" in SQL?
- 173. Film distribution by category and store
- 174. Find highly paid employees
- 175. Find the hypotenuse of a triangle
- 176. Find the median booking amount
- 177. Find the median film's length
- 178. Prepare mailing list
- 179. Penguins list
- 180. Daily income by source
- 181. Index usage
- 182. Using a covering index
- 183. Island with the minimum penguins mass
- 184. The most populated island
- 185. Classic movies
- 186. Penguins stats table
- 187. Managed by Robert Nelson
- 188. Tables joining algorithms in SQL
- 189. Delete films records
- 190. Analyze bill length
- 191. Analyze flipper length
- 192. What is denormalization in RDB?
- 193. Create functional index
- 194. Staff information
- 195. Customers without orders
- 196. Overloaded employees
- 197. Rank Penguins by Body Mass
- 198. Who ordered red helmet?
- 199. Who ordered helmet?
- 200. What bought Jon Grande?
- 201. The most popular product
- 202. Products catalog
- 203. Mountain Bikes catalog
- 204. Products by category distribution
- 205. Large categories
- 206. Set Last Service Date
- 207. Refurbished machines
- 208. Data migration
- 209. Penguins with low body weight
- 210. Most Frequent Co-Purchase
- 211. Most popular products
- 212. Average Sales Delay
- 213. Distance between cities
- 214. Penguins habitat
- 215. Extract Geometry as Text
- 216. Manhattan's subway stations
- 217. Area of the Neighborhood
- 218. Area of the Neighborhood
- 219. Neighborhood Average Area
- 220. Extract Geometry as JSON
- 221. New York streets length
- 222. Rented Films
- 223. What is FULL-TEXT index?
- 224. Find Aircraft with All Fare Conditions
- 225. Is the index fit for query?
- 226. Is the index fit for queries?
- 1. Find most active customers
- 2. Find sad actors
- 3. Find the most diverse actors
- 4. Find all films where HENRY BERRY did not participate
- 5. Calculate factorial
- 6. Find average disk idle time
- 7. Find the distribution by categories
- 8. Analyze monthly payments (2)
- 9. Find movie popularity rating
- 10. Find EMILY DEE fans
- 11. Clients who are not familiar with EMILY DEE films
- 12. Disc rental and return statistics
- 13. Films with Low Rental Time
- 14. Find actors duets
- 15. Find films that were out of stock
- 16. Improve payments analyze
- 17. Find all the actors in the film
- 18. Analyze weekly rentals
- 19. Find the Horror films fans
- 20. Movies in One Store
- 21. Find movies with no available copies
- 22. Staff performance analysis
- 23. Generate monthly bill
- 24. Gap & Islands problem
- 25. Find customers who sow same films
- 26. Get the list of destination airports
- 27. Get a list of airports without direct connections
- 28. Rate airports
- 29. Find a list of flight options
- 30. Rental history
- 31. Find average flight occupancy
- 32. Find flight occupancy by fare
- 33. Find small airports
- 34. FInd the plane coordinates
- 35. FInd the planes coordinates
- 36. What is a subset of the SQL language?
- 37. SQL set operators
- 38. Find a 2005 hits
- 39. Analysis of the cost of film rental by category
- 40. Distribution of flights by days of the week
- 41. Subcategories count
- 42. Find the median salary
- 43. Actual statistics
- 44. Actual statistics 2
- 45. Cumulative payment analysis
- 46. Country Area
- 47. Population Distribution (Pivot)
- 48. Little Italy Stations
- 49. Frequently Purchased Product Pairs
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Task
The Sakila database contains tables city and country. Determine the type of relationship between these tables.
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