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