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