For on ordered file based on non-key attribute, the following index can be created:
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- Part A: MySQL Query/Exec Create StudentsDB database in MySQL server with the following table: Table: Students uid int, Primary Key, Auto Increment studentID varchar(8), Unique name varchar(50) major varchar(50) passedCredits int CGPA float Implement the following PHP scripts as required below: php: the script should display student’s info (StudentID, name, major, credits passed and CGPA) in HTML table with appropriate title for each column. Student cells/rows should be highlighted as follows: Condition Highlight Color Student At Risk: CGPA < 2.0 Red for CGPA Cell Expected to graduate: Passed Credits >=115 Yellow for Passed Credits Cell Outstanding Student: CGPA = 3.5 or above Green for the entire Student Row php: This script should display all students’ names and major. Each student will be identified by a checkbox (define the checkbox name as a numeric array holding the uid). The…QUESTION 9 For on ordered file based on key attribute, the following index can be created: Clustering. Primary. O Secondary.use c++ language You run an e-comměrce website and want to record the last N order ids in a log. Implement a data structure to accomplish this, with the following API: record(order_id): adds the order_id to the log get_last(i): gets the ith last element from the log. i is guaranteed to be smaller than or equal to N. You should be as efficient with time and space as possible.
- Task 2: Secondary Index & Aggregation Query Processing Assume the relation CITIZEN(ID, Tax-Code, Salary, Age) storing information about UK citizens’ tax codes and annual salaries. There are r = 60,000,000 records. Each attribute has the same size: 128 bytes. The relation is stored in a file sorted by the salary attribute. The block size B = 1024 bytes and any pointer in the system has size = 128 bytes. The salary attribute is assumed to be uniformly distributed across tuples. There are 6,000 distinct salary values and there are 10,000 different tax-code values. The tax-code and age are assumed to be statistically independent of salary. A data scientist, who has built a Secondary Index over the Tax Code (non- ordering, non-key attribute), is interested in the specific Tax Code: ‘1234L’. The data scientist did analyse the distribution of the Tax Code attribute and noted the following: • Let X be the number of citizens with Tax Code 1234L per data block. That is, given a random…struct student { char name[20]; char studentID[10]; char phonenum [9]; char advisor [20]; float gpa; } Operations needed: addnewStudent { purpose: to create a new student in the database input: name, studentID.phonenum,advisor.gpa output: none } Name another operation besides add that we could use for our student data structure.What's the distinction between a clustered index and a sparse index?
- Insertion of a new record operation is the most efficient for which file organization? a) ordered b) unordered c) hashedIn Perl language Inserting data into a flat-file database and amounts to simply tacking the new data onto the end of the file For example, inserting a new megalith record into a colon-delimited file can be expressed ?|Compute total no of blocks} Consider a file of 8192 records. Each record is 16 bytes long and its key field Is of size 6 bytes. The file is ordered on a key field, and the file organization is unspanned. The file is stored in a file system with block size 512 bytes, and the size of a block pointer is 10 bytes. If the primary index is built on the key field of the file, and a multilevel index scheme is used to store the primary index, number of first-level and second level blocks in the multilovel index are the respectively 16 and 1 b. 32 and 1 16 and 2 8 and 1 c. d.
- How exactly does one go about creating a clustered index, and what are the key differences between a clustered index and a sparse index in general?1 ACTOR PRODUCER ACTOR 1 ALSO_A_ DIRECTOR DIRECTOR PRODUCER M 2 PERFORMS_IN LEAD ROLE M b) Some actors have done a lead role in multiple movies. c) A movie can have a minimum of two lead actors. N d) Every director has been an actor in some movie. N MOVIE 1 a) There are some actors who have acted in more than ten movies. PRODUCES Assume that MOVIES is a populated database. ACTOR is used as a generic term and includes actresses. Given the constraints shown in the ER schema, respond to the following statements with True, False, or Maybe. Assign a response of Maybe to statements that, although not explicitly shown to be True, cannot be proven False based on the schema as shown. Justify each answer. N DIRECTS Nbranch(branchhame, branch+citysassets} customer (HD, Customer name, customer street, customer city) loan loan number branch_name, amounty borrower(ID; loan_number account (account_number, branch name, balance)e depositor (HDs account number)- Figure le Consider the bank database in Figure 1, where the primary keys are underlined. Each branch might have many loans or accounts, associated with borrowers or depositors, respectively. Construct the following SQL queries for this relational database. 1. Find the name of each branch that has at least one customer who has an account in the bank and who lives in the "Harrison" city. Make sure each branch name only appears once. 2. Find the ID of each customer who lives on the same street and in the same city as customer "12345". (1) Please use "tuple variables". e (2) Please use "derived relations" or “with". 3. Find the ID of each customer of the bank who has an account but not a loan. 4. Find the total sum of all loan amounts for each branch…