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- 1. Get the actors
- 2. Get the languages list
- 3. Get list of actors names
- 4. Drop table
- 5. Fetch all departments
- 6. Staff names
- 7. Get the ordered list of languages
- 8. Get the sorted list of films with limit
- 9. Find stuff members by condition
- 10. Get the sorted list of films with condition
- 11. Find film names by description
- 12. Find the actors by name
- 13. Find the average length of a movie
- 14. Find foreign employees
- 15. Get an ordered list of movies
- 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. Get the first 10 movies in alphabetical order
- 20. Find long movies
- 21. Find the distribution of customer activity
- 22. Calculate the area of a circle
- 23. Calculate circle perimeter
- 24. Find active customers
- 25. Find movies with above-average rental rates
- 26. Find movies with the highest replacement cost
- 27. Get list of clients
- 28. Get a list of movie ratings
- 29. Get list of tables
- 30. Get table columns data
- 31. Get list of indexes
- 32. Get the restricted films list
- 33. Get list of restricted films
- 34. Find adult only films about Database Administrator
- 35. Create new address record
- 36. Update the postal code
- 37. Remove customer records
- 38. Find addresses without postal code
- 39. Find an addresses with even postal codes
- 40. Build shared surnames list
- 41. Get airports data
- 42. Find long-range aircraft
- 43. Find the palindrome names
- 44. What is SQL?
- 45. What is DBMS?
- 46. What is RDBMS?
- 47. What is a Database?
- 48. What is ACID?
- 49. What are DQL commands?
- 50. What is index in SQL?
- 51. SQL tables joins types
- 52. Choose join type
- 53. Perform price update
- 54. Update customer's address
- 55. Adjust the rental cost
- 56. Update replacement cost
- 57. Order of execution of logical operators
- 58. Difference between UNION and UNION ALL
- 59. Display a list of departments
- 60. Find employees by department
- 61. Find employee salary
- 62. Employees with high salaries
- 63. Find employees with a salary above average
- 64. Find customers with even numbers
- 65. Find customers by phone prefix
- 66. Get unique customers list
- 67. How avoid accidental deletion?
- 68. What relation types exists in SQL?
- 69. Find non-Dollar/Euro countries
- 70. Jobs without specific requirements
- 71. Update project information
- 72. What is a subquery?
- 73. Root categories list
- 74. Product List
- 75. Filtered list of products
- 76. Ten heaviest products
- 77. Sort the penguins
- 78. Find light weight penguins
- 79. Penguins list
- 80. Distribution penguins by islands
- 81. Find small penguins
- 82. Find small penguins species
- 83. Search by pattern
- 84. Flipper length to body mass rate
- 85. Penguins whose sex is unknown
- 86. Heavy chinstrap penguins
- 87. Count the penguins
- 88. Penguins and Islands
- 89. Find small penguins species
- 90. Penguins distribution
- 91. Common penguin species
- 92. Managed by Robert Nelson
- 93. Delete records
- 94. Delete employee records
- 95. Rename the table
- 96. Penguins stats
- 97. Create index
- 98. Create unique index
- 99. Product categories
- 1. Find customers full names
- 2. Find addresses using sub-query
- 3. Find addresses using JOIN
- 4. Find duplicate actor names
- 5. Find the most popular surname among actors
- 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 department
- 17. Find employees works on the project
- 18. Find all customers with unshipped orders
- 19. Get a list of movies sorted 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 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 salary ratio
- 42. Find the average client activity time
- 43. Find the average revenue
- 44. Find the store average revenue
- 45. Create a salary rating
- 46. Quarterly earnings analysis
- 47. Find the countries with the most customers
- 48. Find customer details
- 49. Find the count of rented disks
- 50. Find the number of returns
- 51. Find the top spending customers
- 52. Find films with no available inventory
- 53. Find languages not represented in films
- 54. Find movies that have never been rented
- 55. Find clients with a high number of rentals
- 56. Find movies with the highest replacement cost
- 57. Count the rental delays
- 58. Calculate the percentage of delays
- 59. Extract address and domain from email
- 60. Get a list of actors - namesakes
- 61. Get a list of movies and their categories
- 62. Find film average rental time
- 63. Movie rental prices by category
- 64. Get rolling payment amounts
- 65. Find the number of films in each category
- 66. Analyze customer payments
- 67. Find the most diverse clients
- 68. Find film distribution
- 69. Payments analyze
- 70. Distribution of clients by weekday
- 71. Find the distribution of clients by time of day
- 72. Improve distribution of clients by weekday
- 73. Movies without actors records
- 74. Movies without cast records
- 75. Find all actors never starred in adult only films
- 76. Average rentals count
- 77. Find the distribution of clients by country
- 78. Find never been delayed films
- 79. Find most delayed films
- 80. Create department table
- 81. Find films about Dogs or Cats
- 82. Clients whose first name is the last name of another client
- 83. Update Canadian postal codes
- 84. Enter Woodridge postal code
- 85. Enter new staff record
- 86. Create customer addresses view
- 87. Distribution of films by categories in JSON format
- 88. Generate a list of movies in JSON format
- 89. Category popularity analysis
- 90. Build a overal email list
- 91. Select clients without the letter "A"
- 92. Alter the staff table
- 93. Find films in several categories
- 94. Get a list of airports
- 95. Find Boeing aircraft
- 96. Get flights departed from Domodedovo
- 97. Get a list of aircraft from Domodedovo
- 98. Aircraft usage analysis
- 99. Find last names with double letters
- 100. Customers with matching name initials
- 101. Output a list of customer names
- 102. Find the aircraft without Business class
- 103. Get counts of seats by class
- 104. Calculate the number of seats on flight
- 105. Get the list of destination airports
- 106. Get a list of airports with direct connections
- 107. Get a list of no-show passengers
- 108. Get a list of passengers
- 109. Find the flight delay
- 110. Get flights statistics
- 111. Rate airports
- 112. Find a list of flight options
- 113. Find the fastest flight
- 114. Calculate the daily number of flights
- 115. Get list of tables
- 116. Get information about the columns
- 117. Airports with one-way departures
- 118. Find airports relations
- 119. Find small airports
- 120. Get the passenger list
- 121. Get aircraft seat map
- 122. Get a list of planes in the air
- 123. What are DML commands?
- 124. How is data structured in a relational database?
- 125. Choose tables join type
- 126. Calculate the tax
- 127. Get formatted list of films
- 128. What is a primary key?
- 129. Find the tomorrow date
- 130. Find the first and last dates of month
- 131. Find the first and last dates of week
- 132. Display a table of airports
- 133. Count departing passengers
- 134. Number of passengers with total
- 135. Display a table of departures
- 136. Get a list of airports with more than one direct flight
- 137. Get list of tables (PostgreSQL)
- 138. A sub-departments list (JOIN)
- 139. Get a list of sub-departments
- 140. Get list of tables (SQL Server)
- 141. Find duplicate phone numbers
- 142. What is a covering index?
- 143. What is a view in SQL?
- 144. Find a June 2005 hit
- 145. Get product category color counts
- 146. Find films to share
- 147. How to find common rows in SQL?
- 148. Orders shipped in the following month
- 149. Top states by population
- 150. Reduced salaries
- 151. List of categories
- 152. List of subcategories
- 153. What is a SQL transaction?
- 154. What is normalization in SQL?
- 155. What is a correlated subquery?
- 156. Create a phonebook
- 157. Staff availability report
- 158. What is "PIVOT" in SQL?
- 159. Film distribution by category and store
- 160. Determine the type of relationship
- 161. Find highly paid employees
- 162. Find the median salary
- 163. Find the hypotenuse of a triangle
- 164. Find the median booking amount
- 165. Find the median film's length
- 166. Prepare mailing list
- 167. Daily income by source
- 168. Penguins with absent data
- 169. Index usage
- 170. Using a covering index
- 171. Island with the minimum penguins mass
- 172. The most populated island
- 173. Classic movies
- 174. Penguins stats table
- 175. Tables joining algorithms in SQL
- 176. Delete films records
- 177. Analyze bill length
- 178. Analyze flipper length
- 179. What is denormalization in RDB?
- 180. Create functional index
- 181. Overloaded employees
- 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. Find the least popular movies
- 14. Get movie cast lists
- 15. Find movies with rental time below average
- 16. Find acting duets
- 17. Find films that were out of stock
- 18. Improve payments analyze
- 19. Find all the actors in the film
- 20. Analyze weekly rentals
- 21. Find repeat rentals
- 22. Find the Horror films fans
- 23. Find movies available in one store only
- 24. Find movies with no available copies
- 25. Staff performance analysis
- 26. Generate monthly bill
- 27. Find customers who sow same films
- 28. Get rows and seats count
- 29. Get a list of airports without direct connections
- 30. Find rented films
- 31. Obtain a list of passengers
- 32. Find average flight occupancy
- 33. Find flight occupancy by fare
- 34. FInd the plane coordinates
- 35. FInd the planes coordinates
- 36. What is a subset of the SQL language?
- 37. What are DDL commands?
- 38. What is a constraint in SQL?
- 39. SQL constraints types
- 40. SQL set operators
- 41. Move film between categories
- 42. Find a 2005 hits
- 43. Analysis of the cost of film rental by category
- 44. What is a materialized view?
- 45. Distribution of flights by days of the week
- 46. Subcategories count
- 47. Actual statistics
- 48. Actual statistics 2
- 49. Rank Penguins by Body Mass
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Based on the penguins table, create a penguins_islands_view view with the fields island - the name of the island and penguins_count - the number of penguins living on it.
Use SQLite syntax to write your answer. Descriptions of tables are provided in the right pane.
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Querynomicon (SQLite)
A compact database for learning the basics of SQL.The Querynomicon database contains tables:
department - table of departments.
- identDepartment ID.
- nameDepartment name.
- buildingBuilding name.
| ident | name | building |
|---|---|---|
| gen | Genetics | Chesson |
little_penguins - table of little penguins.
- speciesPenguin species.
- islandIsland of residence.
- bill_length_mmBill length, mm.
- bill_depth_mmBill depth, mm.
- flipper_length_mmFlipper length, mm.
- body_mass_gBody mass, g.
- sexSex.
| species | island | bill_length_mm | bill_depth_mm | flipper_length_mm | body_mass_g | sex |
|---|---|---|---|---|---|---|
| Gentoo | Biscoe | 52.1 | 17 | 230 | 5550 | MALE |
penguins - table of penguins.
- speciesPenguin species.
- islandIsland of residence.
- bill_length_mmBill length, mm.
- bill_depth_mmBill depth, mm.
- flipper_length_mmFlipper length, mm.
- body_mass_gBody mass, g.
- sexSex.
| species | island | bill_length_mm | bill_depth_mm | flipper_length_mm | body_mass_g | sex |
|---|---|---|---|---|---|---|
| Gentoo | Biscoe | 52.1 | 17 | 230 | 5550 | MALE |
staff - table of employees.
- identEmployee number.
- personalEmployee first name.
- familyEmployee last name.
- deptDepartment.
- ageAge.
| ident | personal | family | dept | age |
|---|---|---|---|---|
| 7 | Abram | Chokshi | gen | 23 |