primary index is a non-dense O True
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- Please answer the following in SQL: Find all pairs of customers who have purchased the exact same combination of cookie flavors. For example, customers with ID 1 and 10 have each purchased at least one Marzipan cookie and neither customer has purchased any other flavor of cookie. Report each pair of customers just once, sort by the numerically lower customer ID. The MySQL-specific GROUP_CONCAT and JSON_ARRAYAGG functions are not permitted. customers dataset CId: unique identifier of the customerLastName: last name of the customerFirstName: first name of the customer goods dataset GId: unique identifier of the baked goodFlavor: flavor/type of the good (e.g., "chocolate", "lemon") Food: category of the good (e.g., "cake", "tart")Price: price (in dollars) items dataset Receipt : receipt number Ordinal : position of the purchased item on the receipts. (i.e., first purchased item, second purchased item, etc...)Item : identifier of the item purchased (see…Write the difference between Normalization and Denormalization?Below is a table description and its data. The table is not in Third Normal Form (3NF). Explain why. mysql> DESC movies; | Field I Type | Null I Key I Default | Extra + | int(11) | varchar(25) | stars | varchar(100) | YES | id | PRI I NULL | auto_increment I | NO | YES I name NULL I NULL +------ mysql> SELECT * FROM movies; +----+- | id | name | stars +---- 1 | Finding Nemo | Nemo, Dory, Marlin 2 | Zombies | | Meg Donnelly, Milo Manheim | 3 I Finding Dory | Nemo, Dory, Marlin, Jenny +---
- What do you mean by Index hunting?Homework2 (1 solution Using Python A database has 5 transactions. Let min_sup = 60 % and min_conf = 80 % . TID T100 T200 T300 T400 T500 (a) Find all frequent itemsets using Apriori items_bought {M, O, N, K, E, Y} { D, O, N, K, E, Y} { M, A, K, E }{M,U,C,K,Y}{C,0,0,K, 1, E}(b) List all of the strong association rules (with supports and confidence c) matching the following metarule , where X is a variable representing customers , and item , denotes variables representing items ( eg,"A","B", etc. ) : Va e transaction , buys ( X , item, ) A buys (X, item, ) → buys ( X , item3 ) ) [s,c] II3. What will be the height of the following recurrence relations? a. T(n) = T (=) + T=) + cn b. T(n) = T () +T + cn 10. %3D
- Track Addresses Employee Key Values 1234 ЕMP6 ЕMP8 EMP10 EMP12 5678 ЕMP14 EMP16 EMP19 EMP20 9101 EMP26 EMP27 EMP28 EMP29 1121 ЕMP31 ЕMP38 EMP40 EMP42 Index file 1 a. How many comparisions are required to find EMP38 in index file 1 given above b. Update index file by inserting a new employee with employee no. 41. Recreate the index file after updating the index file c. Visualized by recreating the index file how can we reduce camparision to find EMP38what is indexQ51: Which of the following tables will be the better candidate for Incremental Backup? • Customers • Products • Sales • Employees Q52: When normalizing tables and we say that attribute a determines attribute b we mean that : • When we type in a value for a, we can get multiple values for b • When we type in a value for a, we do not get any values for b • When we type in a value for a, we get one and only one value for b • Attribute a is the parent attribute and attribute b is the child attribute