Consider the following relation with 150,000 tuples, stored in 3,000 pages: STUDENTS(SID, Name, DeptID, Email, GPA) Each of the five attributes requires the same amount of storage space. An alternative-2 unclustered tree index with fanout F is created for the search key DeptID. What is the number of disk 1/Os required to retrieve the 300 students in a) Department 4710? b) What is the I/O cost if a clustered hash index is used?

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Consider the following relation with 150,000 tuples, stored in 3,000 pages:
STUDENTS(SID, Name, DeptID, Email, GPA)
Each of the five attributes requires the same amount of storage space. An alternative-2
unclustered tree index with fanout F is created for the search key DeptID.
a)
Department 4710?
What is the number of disk 1/Os required to retrieve the 300 students in
b)
What is the I/0 cost if a clustered hash index is used?
Transcribed Image Text:Consider the following relation with 150,000 tuples, stored in 3,000 pages: STUDENTS(SID, Name, DeptID, Email, GPA) Each of the five attributes requires the same amount of storage space. An alternative-2 unclustered tree index with fanout F is created for the search key DeptID. a) Department 4710? What is the number of disk 1/Os required to retrieve the 300 students in b) What is the I/0 cost if a clustered hash index is used?
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